Please choose a module and then a course in the sidebar.
| Semester | Autumn semester |
| Institute / Site | FHNW HLS Muttenz |
| Format | Type: Vorlesung Mode: MScBME - full semester |
| Lecturer(s) | Reto Wildhaber <reto.wildhaber@fhnw.ch> (Coordinator) Christof Baeriswyl Simon Lemoigne Frédéric Waldmann |
| Course Enrolment | https://esp.hls.fhnw.ch |
| Workload | 3 ECTS |
| Course contents | - Theory (ca. 20 contact lessons) - Microcontroller structures and peripherals - Introduction to C programming - Sensors with analoge and digital sensor interfaces - Sensor calibration - Analog to digital conversion and technologies - Sensor interfacing to microcontrollers (incl. interrupts) - Memory management on microcontrollers - Digital data flow on microcontrollers - Data containers and data structures - Basic signal processing algorithms - Outlook: Alternative hardware structures and low power technologies - Exercises (ca. 22 contact or online lessons) - Exercise/Project/Programming sessions |
| Learning Outcome and Competences | After completing the module, students will be able to… • evaluate a hardware platform for given application • connect a sensor to a microcontroller system • implement digital data acquisition using microcontrollers • perform optimal analog-to-digital conversion |
| Module | Biomedical Basics |
| Language | English |
| Bibliography (Mandatory / Optional) | t.b.d. |
| Entry Requirements | Basics in programming and electronics |
| Comments | |
| Further Details | FHNW Inside-> "Mein Studium" |
| Last Updated | August 29, 2024 |
| Assessment Regulations | Examination, max. 1 repetition allowed (no re-registration to the course possible) |
| Assessment Details | Graded exercises, project or group works (50%), written exams during the semester (50%) |
| Semester | Autumn semester (start: Autumn semester 24) |
| Institute / Site | University of Basel, Department of Biomedical Engineering |
| Format | Lecture with internship weekly |
| Lecturer(s) | Cristina Granziera <cristina.granziera@unibas.ch> (Coordinator) nn Nn |
| Course Enrolment | Reg.: course registration, dereg: cancel course registration |
| Workload | 3 ECTS |
| Course contents | Endocrine System Pathophysiology of the Endocrine System Gastroenterology (Eat and grow) Kidney and Urinary System Pathophysiology of the Kidney and Urinary System Gastrointestinal System 17.09.2024: Anatomy/Histology of the Endocrine System (Matthias Betz) 24.09.2024: Physiology of the Endocrine System (Dieter Kunz) 01.10.2024: Pathophysiology of the Endocrine System (Matthias Betz) 08.10.2024: Anatomy/Histology of the Urinary System (Patrizia Amico / Patricia Hirt-Minkowski) 15.10.2024: Physiology of the Urinary System I (Dieter Kunz) 22.10.2024: Physiology of the Urinary System II (Dieter Kunz) 29.10.2024: Pathophysiology of the Urinary System I - Nephrology (Patrizia Amico / Patricia Hirt-Minkowski) 12.11.2024: Anatomy/Histology/Physiology/Pathophysiology of the Genital System (Gwendolin Manegold-Brauer) 19.11.2024: Anatomy/Histology of the Gastrointestinal system: gastrointestinal tube (Emanuel Burri / Robert Mechera / Matthias Matter) 26.11.2024: Anatomy/Histology/Pathophysiology of the Gastrointestinal system: liver and pancreas (Magdalena Filipowicz Sinnreich / Matthias Matter) 03.12.2024: Physiology of the Gastrointestinal system: Gastrointestinal tube / Pancreas I (Dieter Kunz) 17.12.2024: Physiology of the Gastrointestinal system: liver and Pathophysiology of the Gastrointestinal system: Gastrointestinal tube (Dieter Kunz, Emanuel Burri / Robert Mechera) |
| Learning Outcome and Competences | To understand the anatomy, physiology and pathophysiology of the digestive, endocrine and genitourinary Systems. To understand basic human topographic anatomy and histology of the digestive, endocrine and genitourinary Systems, as well as anatomy of common pathologies. To receive insight into the status of latest research in each field. |
| Module | Biomedical Basics |
| Language | English |
| Bibliography (Mandatory / Optional) | SILVERTHORN, D. U. (2019). Human physiology: an integrated approach. Atlas of Human Anatomy (Netter Basic Science), Seventh Edition, Elsevier Publishers |
| Entry Requirements | |
| Comments | |
| Further Details | https://vorlesungsverzeichnis.unibas.ch/en/home?id=285553 |
| Last Updated | August 30, 2024 |
| Assessment Regulations | Type: main lecture exam Repeatability: no repetition Evaluation Scale: 1-6 0,1 |
| Assessment Details | Examen Multiple Choice Exam |
| Semester | Autumn semester (start: Autumn semester 24) |
| Institute / Site | University of Basel, Department of Biomedical Engineering |
| Format | Lecture with internship weekly |
| Lecturer(s) | Niklaus Friederich <niklaus-f.friederich@unibas.ch> (Coordinator) nn Nn |
| Course Enrolment | Reg.: course registration, dereg: cancel course registration |
| Workload | 3 ECTS |
| Course contents | Physiology and Anatomy of the Musculoskeletal System Pathophysiology of the Musculoskeletal System Dermatology (Skin – barrier between inside and outside) |
| Learning Outcome and Competences | To understand basic human topographic anatomy and histology, physiology and pathophysiology of the locomotor apparatus, as well as anatomy of common pathologies. To receive insight into the status of latest research in each field. |
| Module | Biomedical Basics |
| Language | English |
| Bibliography (Mandatory / Optional) | SILVERTHORN, D. U. (2019). Human physiology: an integrated approach Atlas of Human Anatomy (Netter Basic Science), Seventh Edition, Elsevier Publishers |
| Entry Requirements | |
| Comments | |
| Further Details | https://vorlesungsverzeichnis.unibas.ch/en/home?id=285558 |
| Last Updated | August 30, 2024 |
| Assessment Regulations | Type: main lecture exam Repeatability: no repetition Evaluation Scale: 1-6 0,1 |
| Assessment Details | Examen, Multiple Choice Prüfung |
| Semester | Autumn semester (start: Autumn semester 24) |
| Institute / Site | University of Basel, Department of Biomedical Engineering |
| Format | Lecture with internship weekly |
| Lecturer(s) | Cristina Granziera <cristina.granziera@unibas.ch> (Coordinator) nn Nn |
| Course Enrolment | Reg.: course registration, dereg: cancel course registration |
| Workload | 3 ECTS |
| Course contents | - Neurology (Central command) - Anatomy and Cell Physiology and Neural System - Pathophysiology of the Neural System - Anatomy and Physiology of the Sense Organ (visual, auditory system and smell/taste) - Pathophysiology of the Sense Organs |
| Learning Outcome and Competences |
| Module | Biomedical Basics |
| Language | English |
| Bibliography (Mandatory / Optional) | Atlas of Human Anatomy (Netter Basic Science), Seventh Edition, Elsevier Publishers SILVERTHORN, D. U. (2019). Human physiology: an integrated approach |
| Entry Requirements | |
| Comments | |
| Further Details | https://vorlesungsverzeichnis.unibas.ch/en/home?id=285555 |
| Last Updated | August 30, 2024 |
| Assessment Regulations | Type: main lecture exam Repeatability: no repetition Evaluation Scale: 1-6 0,1 |
| Assessment Details | Examen, Multiple Choice Exam |
| Semester | Autumn semester (start: Autumn semester 24) |
| Institute / Site | University of Basel, Department of Biomedical Engineering |
| Format | Lecture with internship weekly |
| Lecturer(s) | Dieter Kunz <dieter.kunz@unibas.ch> (Coordinator) nn Nn |
| Course Enrolment | Reg.: course registration, dereg: cancel course registration |
| Workload | 3 ECTS |
| Course contents | Anatomy of and physiology of the respiratory system (Breathing is everything) Anatomy and physiology of the cardiovascular system (Circulation) Anatomy of and physiology of hematology/ immunology (Blood – more than red) Pathophysiology of the cardiovascular system, the respiratory system, the immune system |
| Learning Outcome and Competences |
| Module | Biomedical Basics |
| Language | English |
| Bibliography (Mandatory / Optional) | SILVERTHORN, D. U. (2019). Human physiology: an integrated approach Atlas of Human Anatomy (Netter Basic Science), Seventh Edition, Elsevier Publishers |
| Entry Requirements | |
| Comments | |
| Further Details | https://vorlesungsverzeichnis.unibas.ch/en/home?id=285554 |
| Last Updated | August 30, 2024 |
| Assessment Regulations | Type: main lecture exam Repeatability: no repetition Evaluation Scale: 1-6 0,1 |
| Assessment Details | Examen Multiple Choice Exam |
| Semester | Autumn semester |
| Institute / Site | University of Basel, Department of Biomedical Engineering |
| Format | Lecture weekly |
| Lecturer(s) | Karoliina Pelttari <karoliina.pelttari@unibas.ch> (Coordinator) Arnaud Scherberich |
| Course Enrolment | Reg.: course registration, dereg: cancel course registration |
| Workload | 3 ECTS |
| Course contents | 1. Structure and organization of a cell: the fundamental unit of life (Olga Krupkova) 2. Cell division and protein synthesis (Adrien Moya) 3. Cell-cell- and cell-matrix interactions (Arnaud Scherberich) 4. Tissue organization and morphogenesis (Karoliina Pelttari) 5. Stem cells (Nunzia di Maggio) 6. Endogenous tissue regeneration: wound healing (Olga Krupkova) 7. Angiogenesis and vasculogenesis for tissue regeneration (Andrea Banfi) 8. Cartilage tissue (Andrea Barbero) 9. Bone tissue/organ (Arnaud Scherberich) 10. Nerve tissue (Elisabeth Kappos) 11. Cardiac tissue (Anna Marsano) 12. Principles of regenerative medicine and their applications (Ivan Martin) 13. Series presentation by students (I) 14. Series presentation by students (II) |
| Learning Outcome and Competences | students will gain fundamental knowledge on cell biology and on the molecular and cellular mechanisms responsible for the development and regeneration of different types of tissues/organs. Additionally, students will receive information on selected rapidly emerging multidisciplinary fields of regenerative medicine |
| Module | Biomedical Basics |
| Language | English |
| Bibliography (Mandatory / Optional) | |
| Entry Requirements | |
| Comments | |
| Further Details | https://vorlesungsverzeichnis.unibas.ch/en/home?id=285549 |
| Last Updated | August 30, 2024 |
| Assessment Regulations | Type: record of achievement Repeatability: as often as necessary Evaluation Scale: 1-6 0,1 |
| Assessment Details | Presentation of a topic related to Tissue Regeneration Multiple Choice Exam Attendance of 10/14 lectures minimum is mandatory |
| Semester | Autumn semester |
| Institute / Site | University of Basel, Department of Biomedical Engineering |
| Format | Lecture weekly |
| Lecturer(s) | Pablo Sinues <pablo.sinues@unibas.ch> (Coordinator) Oliver Braissant Vanessa Hofmann Iris Schulz |
| Course Enrolment | Reg.: course registration, dereg: cancel course registration |
| Workload | 3 ECTS |
| Course contents | 1. Biochemistry Refresher: Water, Acids, Bases, and Buffers ¦ Cell building blocks 2. Microbiology basics I: Bacteria, Fungi and Viruses 3. Microbiology basics II: Sterility and decontamination ¦ Antimicrobial substances and targets 4. Basic genetics: DNA structure and function 5. Advanced genetics: Principles of genetic mutation, and associated human diseases ¦ Gene technology 6. Metabolism I: Basics thermodynamic ¦ ΔG and energy metabolism 7. Metabolism II: Anabolism & catabolism 8. -OMICS I: Genomics (GWAS) ¦ Epigenomics (EWAS) ¦ Transciptomics (RNAseq) 9. -OMICS II: Proteomics ¦ Metabolomics 10. Biofluids 11. Biomarkers 12. Method validation ¦ Quality control ¦ Reference intervals |
| Learning Outcome and Competences | After completing the module, students will be able to:%lb%• Comprehend essential notions necessary for a training in biology-related engineering fields.%lb%• Describe the basic components and functions found in cells%lb%• Translate information from genetic code%lb%• Describe essential metabolic pathways%lb%• Verify statements about specific cellular mechanisms |
| Module | Biomedical Basics |
| Language | English |
| Bibliography (Mandatory / Optional) | Alberts, B., Hopkin, K., Johnson, A., Morgan, D., Raff, M., Roberts, K., & Walter, P. (2019). Essential cell biology (Fifth edition, international students edition ed.). W. W. Norton & Company Ha, C.-E., & Bhagavan, N. V. (2011). Essentials of Medical Biochemistry: With Clinical Cases. Elsevier Science. |
| Entry Requirements | |
| Comments | |
| Further Details | https://vorlesungsverzeichnis.unibas.ch/en/home?id=284683 |
| Last Updated | August 30, 2024 |
| Assessment Regulations | Type: record of achievement Repeatability: as often as necessary Evaluation Scale: 1-6 0,1 |
| Assessment Details | Student’s presentation & Multiple choice exam (50/50 weight) |
| Semester | Autumn semester |
| Institute / Site | FHNW HLS Muttenz |
| Format | Type: Vorlesung Mode: MScBME - full semester |
| Lecturer(s) | Michael de Wild <michael.dewild@fhnw.ch> (Coordinator) Klaus Mayer Bert Müller |
| Course Enrolment | https://esp.hls.fhnw.ch |
| Workload | 3 ECTS |
| Course contents | Periodic table of elements; Bravais lattices (Müller, 2) - Tutorial 01 (Question 1: Chemical elements within the human body; Question 2: Description of crystalline lattices) Chemical and physical bonds in condensed matter (Müller, 2) - Tutorial 02 (Question 1: Ionic crystal with covalent character—magnesium oxide; Question 2: Explaining properties of metals, semiconductors, and insulators) Polymeric solid states (Müller, 2) - Tutorial 03 (Question 1: Properties of polyether ether ketone (PEEK) and polyethylene (PE); Question 2: Crystalline structures in polymers) Microstructure, surfaces and interfaces (de Wild, 2) - Tutorial 04 (Question 1: Photoelectric effect; Question 2: Calculation of grain size) Preparation of surfaces for implants (de Wild, 2) - Tutorial 05 (Question 1: Surface roughness measurements; Question 2: Hydrophobicity of surfaces) Crystal defects in medically relevant materials (Müller, 2) - Tutorial 06 (Question 1: Zero-dimensional defects; Question 2: One-dimensional defects) Simple crystal structures of elements and compounds (Müller, 2) - Tutorial 07 (Question 1: Titania structures; Question 2: Optical and electron microscopy) Electrical and optical properties; Optical and electron microscopy (de Wild, 2) - Tutorial 08 (Question 1: Monte Carlo Simulation Energy Dispersive Spectroscopy (EDX); Question 2: calculation of absorption coefficient) Computed tomography for tissue and implant characterization (Müller, 2) - Tutorial 09 (Question 1: Conventional X-ray sources; Question 2: Interactions of X-rays with matter) Crystal and thin-film growth including online monitoring (Müller, 2) - Tutorial 10 (Question 1: Hierarchy of activated processes; Question 2: Molecular beam deposition) Materials in dentistry, microstructures, phases, biodegradation (de Wild, 2) - Tutorial 11 (Question 1: De- and re-mineralization of enamel; Question 2: XRD phase identification) Small-angle X-ray scattering for materials and tissue characterization (Müller, 2) - Tutorial 12 (Question 1: Tooth structure in health and disease; Question 2: Lipid bilayer thickness measurement) Experiments, error estimation/Statistics: Spectrometer, Pohl oscillator (Mayer, 2) - Tutorial 13 (Question 1: Resonances; Question 2: Error analysis) Labtour and Q&A session: Demonstrations of surface and bulk characterization methods and systems for additive manufacturing (de Wild, 2) - Tutorial 14 (Question 1: Measuring crystal shape; Question 2: Ostwald ripening) |
| Learning Outcome and Competences | The students will understand the atomic and molecular structure of solid states and soft materials. Based on this knowledge, the students will be able to draw conclusions about material properties on the macroscopic scale to select and tailor their characteristics for medical applications including the broad variety of medical implants made from metals, ceramics, polymers, composites, etc. The microscopic, crystallographic and spectroscopic characterization of materials down to the atomic level will be discussed, as this is the main prerequisite for innovations and improvements. Finally, the biocompatibility of implant materials will be explored. After completing the module, students will be able to… • understand the arrangement of element within the periodic table • explain potential arrangements of atoms in crystal lattices • describe bonding of atoms in molecules and condensed matter • understand microscopy of materials and tissues • present the importance of the microstructure for quality control. • explicit reciprocal-space techniques for materials characterization • understand structure-function relationship of materials • engineer materials for medical applications. |
| Module | Engineering Basics |
| Language | English |
| Bibliography (Mandatory / Optional) | - W.D. Callister, D.G. Rethwisch, Materials Science and Engineering: SI Version (English), Wiley-VCH Verlag GmbH & Co KgaA, 2016. - G. Carter, D. Paul, Materials Science and Engineering, ASM International, Materials Park, OH, 2010. ISBN 978-0-87170-399-6. - Interactive simulations (https://phet.colorado.edu/en/simulations/category/new) |
| Entry Requirements | Defined entry level - Bachelor degree with medical or engineering background |
| Comments | • Lectures • Power-point presentations as pdf-files • Parts of textbooks • Relevant journal articles • Interactive simulations • Lab tour and Q&A session • Group work, experiment evaluation and interpretation • Tutorial questions and example solutions 2 lectures per week à 45 Min, whole semester 14 weeks (1st and last event 2 lecturers: intro/overview/requirements, resp. summary/important points for exam/Q&A-session) |
| Further Details | FHNW Inside-> "Mein Studium" |
| Last Updated | June 04, 2024 |
| Assessment Regulations | Examination, max. 1 repetition allowed (no re-registration to the course possible) |
| Assessment Details | - Individual oral examination, 30 min. |
| Semester | Autumn semester |
| Institute / Site | FHNW HLS Muttenz |
| Format | Type: Vorlesung Mode: MScBME - full semester |
| Lecturer(s) | Oliver Mülken <oliver.muelken@fhnw.ch> (Coordinator) Joris Pascal Pablo Sinues |
| Course Enrolment | https://esp.hls.fhnw.ch |
| Workload | 3 ECTS |
| Course contents |
| Learning Outcome and Competences | After completing the module, students will be able to… • operate the basics of the MATLAB interface. • recognize and define different objects such as vectors and matrices. • explain and perform simple computations with defined objects. • import data sets into MATLAB. • manipulate imported data sets. • Implement plotting of imported data sets and fitting functions to the data. • analyse data using filters such as moving averages. • write code for simple MATLAB functions. • understand how different loops structures are used in MATLAB. • write code for simple MATLAB scripts. • apply MATLAB to applications in Biomedical Engineering. |
| Module | Engineering Basics |
| Language | English |
| Bibliography (Mandatory / Optional) | • https://ch.mathworks.com/help/matlab/index.html?s_tid=hc_panel • MATLAB for biomedical engineers and scientists; A. P. King and P. Aljabar, Elsevier Science, 2022 |
| Entry Requirements | Technical: • Own laptop • Latest MATLAB version installed. The FHNW provides MATLAB including licence. Download the supported version form https://www.fhnw.ch/plattformen/ict/softwaredownload/ Intellectual: • Basic understanding of Algebra, https://www.khanacademy.org/math/get-ready-for-algebra-i https://www.khanacademy.org/math/algebra • Basic understanding of Analysis, https://www.khanacademy.org/math/get-ready-for-precalculus • Basic knowledge of dealing with computer applications |
| Comments | |
| Further Details | FHNW Inside-> "Mein Studium" |
| Last Updated | June 04, 2024 |
| Assessment Regulations | Examination, unlimited repeatable |
| Assessment Details | • Final e-assessment, individual (100%) |
| Semester | Autumn semester |
| Institute / Site | FHNW HLS Muttenz |
| Format | Type: Vorlesung Mode: MScBME - full semester |
| Lecturer(s) | Reto Wildhaber <reto.wildhaber@fhnw.ch> (Coordinator) |
| Course Enrolment | https://esp.hls.fhnw.ch |
| Workload | 3 ECTS |
| Course contents | Theory (28 contact lessons)
- Resistive Network Analysis - AC Network Analysis - Transient Analysis - Frequency Response and System Concept - Semiconductors and Diodes - Transistor Fundamentals - Operational Amplifiers Exercises (14 contact or online lessons) - weekly or biweekly exercise or Q&A sessions |
| Learning Outcome and Competences | After completing the module, students will be able to… - analyze linear RLC-networks - draw a passive linear filter - understand the concepts of semiconductors such as diodes - analize a basic circuit including transistors - analize a basic circuit including operational amplifiers |
| Module | Engineering Basics |
| Language | English |
| Bibliography (Mandatory / Optional) | Course book: Giorgio Rizzoni, James A. Kearns, "Principles and applications of electrical engineering", 978-00-7352-9592 |
| Entry Requirements | Basics in physics, mathematics |
| Comments | |
| Further Details | FHNW Inside-> "Mein Studium" |
| Last Updated | February 13, 2024 |
| Assessment Regulations | Examination, max. 1 repetition allowed (no re-registration to the course possible) |
| Assessment Details | Written exam at course end (100%) |
| Semester | Autumn semester |
| Institute / Site | University of Basel, Department of Biomedical Engineering |
| Format | Lecture with practical courses weekly |
| Lecturer(s) | Edgar Delgado-Eckert <edgar.delgado-eckert@unibas.ch> (Coordinator) Georg Schulz |
| Course Enrolment | Reg.: course registration, dereg: cancel course registration |
| Workload | 6 ECTS |
| Course contents | Ordinary differential equations and linear algebra. |
| Learning Outcome and Competences | - Solve first order and second order ordinary differential equations.%lb%- Learn the basic concepts of linear algebra and vector spaces.%lb%- Apply the theory of vector spaces to analyzing data, e.g., principal component analysis (PCA).%lb% |
| Module | Engineering Basics |
| Language | English |
| Bibliography (Mandatory / Optional) | James Stewart "Calculus", International Metric Edition, 8th Edition. David Poole "Linear Algebra : A Modern Introduction", 4th Edition. |
| Entry Requirements | |
| Comments | Digital media via "Cengage’s WebAssign" (https://www.webassign.net/wa-auth/login) |
| Further Details | https://vorlesungsverzeichnis.unibas.ch/en/home?id=285550 |
| Last Updated | August 30, 2024 |
| Assessment Regulations | Type: course examination Repeatability: no repetition Evaluation Scale: 1-6 0,1 |
| Assessment Details | - Examen - 50% of homework exercises points. - Written exam; |
| Semester | Autumn semester |
| Institute / Site | University of Basel, Department of Biomedical Engineering |
| Format | Lecture with practical courses weekly |
| Lecturer(s) | Georg Rauter <georg.rauter@unibas.ch> (Coordinator) Nicolas Gerig |
| Course Enrolment | Reg.: course registration, dereg: cancel course registration |
| Workload | 3 ECTS |
| Course contents | Vector calculus, basics of statics, equilibrium, degrees of freedo/statical determindness, general approach for solving equilibrium problems, girders, rope statics (infinitesimal calculus, concepts for optimization), distributed forces, center of mass/gravity/volume, statics of beams friction, principle of virtual work Matlab will be introduced as a basic calculation and plotting tool |
| Learning Outcome and Competences |
| Module | Engineering Basics |
| Language | English |
| Bibliography (Mandatory / Optional) | |
| Entry Requirements | |
| Comments | |
| Further Details | https://vorlesungsverzeichnis.unibas.ch/en/home?id=284528 |
| Last Updated | August 30, 2024 |
| Assessment Regulations | Type: main lecture exam Repeatability: no repetition Evaluation Scale: 1-6 0,1 |
| Assessment Details | Examen |
| Semester | Autumn semester |
| Institute / Site | University of Basel, Department of Biomedical Engineering |
| Format | Lecture with practical courses weekly |
| Lecturer(s) | Philippe Cattin <philippe.cattin@unibas.ch> (Coordinator) Francesco Santini Carlo Seppi |
| Course Enrolment | Reg.: course registration, dereg: cancel course registration |
| Workload | 3 ECTS |
| Course contents | The goal of the lecture is to prepare students to work with Python and various other tools. We will provide an overview of different useful tools, including Visual Studio, GitHub, and working with the console. Additionally, we will offer a crash course on important features and libraries of Python, such as classes, modules, numpy, pandas, and scikit-learn. We will also explore faster computation using PyTorch on the GPU and briefly discuss AI-assisted programming |
| Learning Outcome and Competences | 1. Understand Python fundamentals and gain proficiency in the language.%lb%2. Learn essential tools for Python development, e.g., Visual Studio, GitHub, and consoles.%lb%3. Explore important Python features and libraries, e.g., classes, modules, numpy, pandas, and scikit-learn.%lb%4. Utilize PyTorch on the GPU for faster computations.%lb%5. Discuss AI-assisted programming and its applications.%lb%6. Apply Python and relevant tools in real-world scenarios.%lb%7. Foster a foundation for further learning in Python and related technologies%lb% |
| Module | Engineering Basics |
| Language | English |
| Bibliography (Mandatory / Optional) | |
| Entry Requirements | • Some programming experience is recommended • A laptop is required for this course |
| Comments | |
| Further Details | https://vorlesungsverzeichnis.unibas.ch/en/home?id=285552 |
| Last Updated | August 30, 2024 |
| Assessment Regulations | Type: continuous assessment Repeatability: as often as necessary Evaluation Scale: Pass / Fail |
| Assessment Details | continous assessment 200 of 240 points in weekly exercises quiz |
| Semester | Autumn semester |
| Institute / Site | FHNW HLS Muttenz |
| Format | Type: Vorlesung Mode: MScBME - full semester |
| Lecturer(s) | Bert Müller <bert.mueller@unibas.ch> (Coordinator) Michael de Wild |
| Course Enrolment | https://esp.hls.fhnw.ch |
| Workload | 3 ECTS |
| Course contents | Introduction into biomaterials science and engineering: Hierarchy of structures: Human-organ-tissue-cells-biomolecules-atoms; Titanium-based dental implant as example for tissue-materials interface (Müller/de Wild, 2)
- Tutorial 01 (Question 1: Estimating the number of atoms within a human tooth; Question 2: Contact-angle measurements) Atomic/molecular structure of condensed matter (Müller, 2) - Tutorial 02 (Question 1: Physical description of crystalline lattices; Question 2: Explaining materials properties by atomic interactions) Polymeric solid states including their binding (Müller, 2) - Tutorial 03 (Question 1: Prerequisites for the formation of polymer crystals; Question 2: Bond-property relations) Polymers for medical implants including hydrogels (Madduri, 2) - Tutorial 04 (Question 1: Procedure, a medical doctor carries out applying PMMA as bone cement; Question 2: Determination of glass transition temperature) Materials-tissue interface; Standards in biocompatibility testing (de Wild, 2) - Tutorial 05 (Question 1: Definition of biocompatibility and other relevant terms; Question 2: Interactions between implant and surrounding tissues) Description of crystal defects (Müller, 2) - Tutorial 06 (Question 1: Role of entropy in crystal defect formation (vacancies); Question 2: Interactions of dislocations using Burgers vectors) Characterization of materials – bulk and surfaces (de Wild, 2) - Tutorial 07 (Question 1: Debye-Scherrer method (powder diffraction); Question 2: Electron spectroscopy for chemical analysis (ESCA)) Natural and synthetic ceramics for implants and regenerative medicine; mechanical properties (de Wild, 2) - Tutorial 08 (Question 1: Calcium phosphate phases; Question 2: Preparation steps of ceramic products) Metal-based implants with focus on NiTi (de Wild, 2) - Tutorial 09 (Question 1: Stress shielding; Question 2: Shape memory-based medical implants) Formation of solid-state materials (Müller, 2) - Tutorial 10 (Question 1: Liquid-solid transition; Question 2: Concept of critical nucleus -surface and bulk) Materials and technologies in oral health (Müller/Sigron, 2) - Tutorial 11 (Question 1: Oral scanners and their accuracy; Question 2: Spatially resolved small-angle X-ray scattering to characterize nano-anatomy) Artificial sphincters, Stimuli-responsive liposomes (Müller, 2) - Tutorial 12 (Question 1: Mechanical properties of human soft tissues; Question 2: The Fahraeus-Lindqvist effect and the human blood vessel system) Sterilization methods, Mechanical testing of implants, fractography (de Wild, 2) - Tutorial 13 (Question 1: Sterilization methods; Question 2: Stress-strain correlation to Vickers measurements) Materials selection in implant design; Employing materials science for improving human health: Example brain-computer interface; Q&A session (Müller/de Wild, 2) - Tutorial 14 (Question 1: Materials and component selection for a hip joint; Question 2: Challenges in brain imaging) |
| Learning Outcome and Competences | The students will understand the atomic and molecular structure of solid states and soft materials. Based on this knowledge, the students will be able to draw conclusions about material properties on the macroscopic scale to select and tailor their characteristics for biomedical applications including the broad variety of medical implants made from metals, ceramics, polymers, composites, etc. The biological, mechanical, chemical, spectroscopic and tribologic characterization of materials down to the atomic level will be discussed, as this is the main prerequisite for innovations and improvements. State-of-the-art technologies and methodologies for the analysis of materials will be discussed. This lecture series also covers selected fabrication procedures for a variety of implants, including a discussion of phase transformations and thermally activated processes. The biocompatibility of implant materials will be explored. Biocompatibility does not only depend on the chemical composition but also on the surface morphology and critically on the specific host tissue. After completing the module, students will be able to… • give an overview of the broad spectra of metallic, polymeric and ceramic biomaterials from the perspective of materials science from the macroscopic to the nanoscopic scale • explain uses and selection criteria for biomaterials • express how to exploit the structure-function relationship of materials • explain different state-of-the-art technologies and methodologies for the analysis of materials • understand fabrication of biomaterials for medical implants • understand the concept of biocompatibility • classify biomaterials according to the response of the biological system. • justify the importance of physical-chemical analyses for determining biocompatibility. |
| Module | Biomedical Engineering Basics |
| Language | English |
| Bibliography (Mandatory / Optional) | • Buddy D. Ratner, Allan S. Hoffman, Frederick J. Schoen and Jack E. Lemons: "Biomaterials Science: An Introduction to Materials in Medicine", 2nd edition, Elsevier Academic Press. • W.D. Callister, D.G. Rethwisch, Materials Science and Engineering: SI Version (English), Wiley-VCH Verlag GmbH & Co KgaA, 2016. • G. Carter, D. Paul, Materials Science and Engineering, ASM International, Materials Park, OH, 2010. ISBN 978-0-87170-399-6. • Interactive simulations (https://phet.colorado.edu/en/simulations/category/new) |
| Entry Requirements | Defined entry level • Scientific background in medicine, chemistry, physics or analytical chemistry. • Basic lectures on chemistry and physics are a prerequisite to follow this course. |
| Comments | |
| Further Details | FHNW Inside-> "Mein Studium" |
| Last Updated | June 04, 2024 |
| Assessment Regulations | Examination, max. 1 repetition allowed (no re-registration to the course possible) |
| Assessment Details | Written exam, 90 minutes |
| Semester | Autumn semester |
| Institute / Site | University of Basel, Department of Biomedical Engineering |
| Format | Lecture with practical courses weekly |
| Lecturer(s) | Georg Rauter <georg.rauter@unibas.ch> (Coordinator) Nicolas Gerig |
| Course Enrolment | Reg.: course registration, dereg: cancel course registration |
| Workload | 3 ECTS |
| Course contents | LTI-systems, Frequency response, Analytical control synthesis, Nyquist and bode plots, Transition Matrix, State transform, controlability, observability, transition from transfer functions to state space models (normals forms), state control (pole placement, stabilizability, stabilization of arbitrary working points), State observer, Kalman filter Group project for stabilizing an inverted pendulum using TwinCAT3 & Matlab Simulink Matlab/Simulink will be used as a basic calculation, simulation, and visualization tool |
| Learning Outcome and Competences |
| Module | Biomedical Engineering Basics |
| Language | English |
| Bibliography (Mandatory / Optional) | |
| Entry Requirements | |
| Comments | |
| Further Details | https://vorlesungsverzeichnis.unibas.ch/en/home?id=285551 |
| Last Updated | August 30, 2024 |
| Assessment Regulations | Type: main lecture exam Repeatability: no repetition Evaluation Scale: 1-6 0,1 |
| Assessment Details | Examen |
| Semester | Autumn semester |
| Institute / Site | FHNW HLS Muttenz |
| Format | Type: Vorlesung Mode: MScBME - full semester |
| Lecturer(s) | Antje Knopf <antje.knopf@fhnw.ch> (Coordinator) |
| Course Enrolment | https://esp.hls.fhnw.ch |
| Workload | 3 ECTS |
| Course contents | 1. Image Formation (Overview imaging modalities, Overview image reconstruction)
2. Basics 3. Image Processing in the Clinic (Image Processing Chain, Data Formats) 4. Image Enhancement in the spatial domain I (Noise, Smoothing) 5. Image Enhancement in the spatial domain II (Template matching, Edges) 6. Image Enhancement in the frequency domain 7. Morphological image processing 8. Image Segmentation 9. Feature extraction (4D images, Optical Flow, Visualization, Surface rendering, Volume rendering, Introduction Image Processing with AI) 10. 4D images 11. Visualization Volume rendering |
| Learning Outcome and Competences | After completing the course, students will be able to • apply image processing methods to basics image analysis problems • understand the typical image processing chains on clinical applications • knowing some advanced image processing methods |
| Module | Biomedical Engineering Basics |
| Language | English |
| Bibliography (Mandatory / Optional) | Dougherty, G. (2009). Digital Image Processing for Medical Applications. Cambridge: Cambridge University Press. doi:10.1017/CBO9780511609657 |
| Entry Requirements | Bachelor level of analysis, linear algebra, statistics, basic Matlab and/or Python programming skills |
| Comments | |
| Further Details | FHNW Inside-> "Mein Studium" |
| Last Updated | February 13, 2024 |
| Assessment Regulations | Examination, max. 1 repetition allowed (no re-registration to the course possible) |
| Assessment Details | • Student presentations, groups of 2-3 (20 %) • Closed book examination at the end of the semester (80 %) |
| Semester | Spring semester |
| Institute / Site | FHNW HLS Muttenz |
| Format | Type: Vorlesung Mode: MScBME - full semester |
| Lecturer(s) | Joris Pascal <joris.pascal@fhnw.ch> (Coordinator) |
| Course Enrolment | https://esp.hls.fhnw.ch |
| Workload | 3 ECTS |
| Course contents | - System requirements specifications for the development of a sensor system for biomedical applications (Joris Pascal, 10 lessons) - Definition of the system requirements specifications - Integrated sensors technologies (Joris Pascal, 11 lessons) - Introduction to electromagnetism - State of the art in high precision miniaturized magnetic sensors technologies - Performance assessment of different sensors for their application in biomedical engineering - Signal processing techniques (Joris Pascal, 11 lessons) - Analog signal processing techniques for sensors offset and noise reduction - Digital signal processing (digital filters, FFT analysis) - Real time localization algorithm of embedded magnetic sensors - Workshops in laboratory (Joris Pascal, 10 lessons) - Design and test of hardware and software with a prototype> |
| Learning Outcome and Competences | After completing the module, students will be able to: • understand the requirements for the development of embedded sensors and signal processing for medical devices (e.g. accuracy, long term stability, MRI compatibility) • develop a concept design (a high level description) for the implementation of sensor systems and signal processing for medical devices • select electronic components (e.g. integrated sensors, electronic front end, digital signal processing unit) • define and implement signal processing algorithm on embedded systems |
| Module | Biomedical Engineering Basics |
| Language | English |
| Bibliography (Mandatory / Optional) | Relevant scientific papers will be provided to illustrate the state of the art |
| Entry Requirements | Bachelor level in analysis, linear algebra, electronics and signal processing. Preferably but not mandatory, students have attended to the following lectures during the first semester: C04 Mathematics for Biomedical Engineering C02 Programming Basics with MATLAB C03 Electrical Engineering and Electronics Basics C06 Hardware Programming of Medical Sensors |
| Comments | |
| Further Details | FHNW Inside-> "Mein Studium" |
| Last Updated | February 13, 2024 |
| Assessment Regulations | |
| Assessment Details | Assessment of the group work throughout the semester & report in form of a short scientific paper (100%), groups of 2 to 4. Group work with individual assessment (the own contribution to the group results is evaluated) |
| Semester | Spring semester |
| Institute / Site | University of Basel, Department of Biomedical Engineering |
| Format | Lecture with practical courses weekly |
| Lecturer(s) | Georg Rauter <georg.rauter@unibas.ch> (Coordinator) Nicolas Gerig |
| Course Enrolment | Reg.: course registration, dereg: cancel course registration |
| Workload | 3 ECTS |
| Course contents | Concepts of different coordinate sytems and change of coordinate systems (Jacobian), kinematics of rigid bodies, basics of kinetics (impulse), kinetics of rigid bodies (inertia tensor, change of reference, dynamic Euler equations), kinetics of the center of mass, energy concepts (work, power, potential), oscillations (equilibrium conditions, linearization of the euqation of motion, free-/damped-/enforced oscillations of mass, spring, damper systems) Matlab and Maple will be used as basic calculation and simulation tools |
| Learning Outcome and Competences |
| Module | Biomedical Engineering Basics |
| Language | English |
| Bibliography (Mandatory / Optional) | |
| Entry Requirements | Basics in Statics or C16 |
| Comments | |
| Further Details | https://vorlesungsverzeichnis.unibas.ch/en/home?id=280145 |
| Last Updated | January 31, 2024 |
| Assessment Regulations | Type: record of achievement Repeatability: as often as necessary Evaluation Scale: 1-6 0,1 |
| Assessment Details | record of achievement |
| Semester | Spring semester (start: Spring semester 24) |
| Institute / Site | FHNW HLS Muttenz |
| Format | Type: Vorlesung Mode: MScBME - full semester |
| Lecturer(s) | David Hradetzky <david.hradetzky@fhnw.ch> (Coordinator) Thorsten Göttsche Simone Hemm |
| Course Enrolment | https://esp.hls.fhnw.ch |
| Workload | 3 ECTS |
| Course contents | - Identification of stakeholders - Coding / De-coding diagnosis, procedures and reimbursement - Development process for medical devices in compliance with medical standards e.g. EN ISO 13485 - Application of European regulation (MDR) and national laws (MeDO) for medical devices - Conformity assessment procedure, identification and role of involved parties (Notified Bodies) - Application of risk management procedure for medical devices according EN ISO 14971 - Fundamentals in clinical evaluation according EN ISO 14155 - Harmonized standards - Guidance documents (as MEDDEV, NB-MED, MDCG, NBOG, CS) - Post market activities |
| Learning Outcome and Competences | After completing the module, students .. ... will be familiar with the regulations applied for medical device throughout Europe ... will be able to plan, design and run a project for medical device development according to European standards and complying with the Medical Device Regulation ... will be familiar with applying selected risk management procedure according DIN ISO 14971 |
| Module | Biomedical Engineering Basics |
| Language | English |
| Bibliography (Mandatory / Optional) | Regulation (EU) 2017/745 on medical devices (MDR) EN ISO 13485 EN ISO 14971 EN ISO 14155 (all documents will be available throughout the course) |
| Entry Requirements | - |
| Comments | |
| Further Details | FHNW Inside-> "Mein Studium" |
| Last Updated | April 05, 2024 |
| Assessment Regulations | Examination, unlimited repeatable |
| Assessment Details | Case study: written report (75%) and presentation (video recording) (25%) |
| Semester | Spring semester (start: Spring semester 24) |
| Institute / Site | University of Basel, Department of Biomedical Engineering |
| Format | Lecture with practical courses weekly |
| Lecturer(s) | Pablo Sinues <pablo.sinues@unibas.ch> (Coordinator) Klaus Mayer |
| Course Enrolment | Reg.: course registration, dereg: cancel course registration |
| Workload | 3 ECTS |
| Course contents | The course will involve practical statistics and data-analysis techniques relevant in the biomedical engineering field, with a focus on solving biomedical problems. The course will introduce or repeat basic concepts of statistics but will emphasize on the use and application of statistics and understanding data analysis and representation rather than on understanding the mathematical background of statistics. The course will be set up around relevant and realistic datasets. Students will learn how to understand the fundamental concepts of descriptive and inferential statistics, analyze data and choose an appropriate hypothesis test to answer a given question, compute numerical statistical measures and perform hypothesis tests ‘by hand’, and visualize data and perform statistical analysis. They will learn and explore DOE techniques in a hands-on experiment and learn how to use error analysis to correctly determine (in-)accuracies, essential to the interpretation of any experiment. |
| Learning Outcome and Competences | After completing the module, students will be able to… • Visualize data using MATLAB and Python. • Summarize data via descriptive statistics. • Use Inferential Statistics. • Perform power and sample size calculations. • Use linear regression and correlation analysis. • Use linear mixed models and ANOVA analysis • Perform a DOE • Perform error analysis |
| Module | Biomedical Engineering Basics |
| Language | English |
| Bibliography (Mandatory / Optional) | |
| Entry Requirements | Programming in MATLAB at the level of course “Programming Basics with MATLAB” (C02) Programming in Python at the level of course “Programming Basics with Python” (69472/C17) |
| Comments | |
| Further Details | https://vorlesungsverzeichnis.unibas.ch/en/home?id=0 |
| Last Updated | January 31, 2024 |
| Assessment Regulations | Type: record of achievement Repeatability: as often as necessary Evaluation Scale: 1-6 0,1 |
| Assessment Details | • Presentation at the end of the course of a relevant paper covering statistical methods learned during the lectures (30%) • Exam (70%) |
| Semester | Spring semester |
| Institute / Site | University of Basel, Department of Biomedical Engineering |
| Format | Lecture with practical courses weekly |
| Lecturer(s) | Edgar Delgado-Eckert <edgar.delgado-eckert@unibas.ch> (Coordinator) Georg Schulz |
| Course Enrolment | Reg.: course registration, dereg: cancel course registration |
| Workload | 3 ECTS |
| Course contents | Fourier Series, Fourier Transforms, and Laplace transforms and their applications to solving differential equations and image analysis. Systems of coupled linear first-order differential equations. Numerical methods for solving ordinary differential equations. Brief introduction to partial differential equations relevant in applied physics and engineering. |
| Learning Outcome and Competences | %lb%- Representing functions as weighted infinite sums or integrals of suitable basic functions, such as trigonometric functions (Fourier series and Fourier transforms).%lb%- Laplace transforms: Learn how the operations of differentiation and integration can be mapped into algebraic operations, thus converting the task of solving an ordinary linear differential equation into the simpler task of solving an algebraic equation over the complex numbers. Applications to control theory (i.e. transfer functions).%lb%- Solve systems of coupled linear first-order differential equations.%lb%- Learn the algorithms behind numerical solvers of ordinary differential equations.%lb%- Get acquainted with partial differential equations relevant in applied physics and engineering. |
| Module | Biomedical Engineering Electives |
| Language | English |
| Bibliography (Mandatory / Optional) | Zill - Differential Equations with Boundary-Value Problems, International Metric Edition, 9th edition. |
| Entry Requirements | Ordinary differential equations and linear algebra (syllabus content of Mathematics for Biomedical Engineering I course, C04/52055). |
| Comments | Digital media via "Cengage’s WebAssign" (https://www.webassign.net/wa-auth/login) |
| Further Details | https://vorlesungsverzeichnis.unibas.ch/en/home?id=280134 |
| Last Updated | January 31, 2024 |
| Assessment Regulations | Type: record of achievement Repeatability: as often as necessary Evaluation Scale: 1-6 0,1 |
| Assessment Details | -50% of homework exercises points. - 50%Written exam. |
| Semester | Spring semester (start: Spring semester 24) |
| Institute / Site | FHNW HLS Muttenz |
| Format | Type: Vorlesung Mode: MScBME - full semester |
| Lecturer(s) | Erik Schkommodau <erik.schkommodau@fhnw.ch> (Coordinator) Uri Nahum |
| Course Enrolment | https://esp.hls.fhnw.ch |
| Workload | 3 ECTS |
| Course contents | The major topics covered in the module are: - identification of problems solvable with optimization methods - abstraction and modelling of task description - coding of optimization tasks - getting overview about linear, non-linear, deterministic and stochastic optimization methods including necessary mathematical methods - implementation of examples from various fields with Matlab |
| Learning Outcome and Competences | After completing the module, students will be able to: • explain and validate different optimization methods • apply them appropriately to problems in their field (e.g. medical measurement data). |
| Module | Biomedical Engineering Electives |
| Language | English |
| Bibliography (Mandatory / Optional) | - Practical Methods of Optimization Paperback, by R. Fletcher, 2009 - Applied Dynamic Programming (Princeton Legacy Library), by Richard E. Bellman (Author), Stuart E Dreyfus, 2015 - Numerical Recipes: The Art of Scientific Computing, by William H. Press, Saul A. Teukolsky, William T. Vetterling, Brian P. Flannery, 3rd Edition |
| Entry Requirements | Bachelor level of analysis, linear algebra, statistics; Matlab programming skills There is an online tutorial available for students without Matlab skills |
| Comments | |
| Further Details | FHNW Inside-> "Mein Studium" |
| Last Updated | February 13, 2024 |
| Assessment Regulations | Examination, unlimited repeatable |
| Assessment Details | project work |
| Semester | Spring semester (start: Spring semester 24) |
| Institute / Site | University of Basel, Department of Biomedical Engineering |
| Format | Lecture weekly |
| Lecturer(s) | Philippe Cattin <philippe.cattin@unibas.ch> (Coordinator) Oliver Bieri Francesco Santini |
| Course Enrolment | Reg.: course registration, dereg: cancel course registration |
| Workload | 3 ECTS |
| Course contents | This course presents the fundamental principles of medical imaging techniques such as magnetic resonance imaging (MRI), X-ray, computed tomography (CT), ultrasound (US), positron emission tomography (PET), and single photon emission computed tomography (SPECT). For each of these imaging modalities its physical principle, the mathematical methods for image generation and reconstruction, its anatomical and physiological information content and its limitations are discussed. |
| Learning Outcome and Competences | The objective of this lecture is to introduce the basic physical principles of the imaging systems used in the medical field. %lb%The necessary background to understand the imaging devices will be taught. |
| Module | Biomedical Engineering Electives |
| Language | English |
| Bibliography (Mandatory / Optional) | "The Physics of Diagnostic Imaging". David J. Dowsett, Peter A. Kenny, R. Eugene Johnston, Chapman & Hall Medical. "The Essential Physics of Medical Imaging". Jerrold T. Bushberg, J.Anthony Seibert, Edwin M. Leidholdt Jr., John M. Boone, Williams & Wilkins. |
| Entry Requirements | C15, Medical Imaging and Medical Image Processing |
| Comments | |
| Further Details | https://vorlesungsverzeichnis.unibas.ch/en/home?id=280080 |
| Last Updated | May 15, 2024 |
| Assessment Regulations | Type: record of achievement Repeatability: as often as necessary Evaluation Scale: 1-6 0,1 |
| Assessment Details | Multiple Choice Exam |
| Semester | Spring semester |
| Institute / Site | University of Basel, Department of Biomedical Engineering |
| Format | Type: Vorlesung Mode: MScBME - full semester |
| Lecturer(s) | Roberto Andorno <roberto.andorno@unibas.ch> (Coordinator) |
| Course Enrolment | |
| Workload | 3 ECTS |
| Course contents |
| Learning Outcome and Competences |
| Module | Biomedical Engineering Electives |
| Language | English |
| Bibliography (Mandatory / Optional) | |
| Entry Requirements | |
| Comments | |
| Further Details | |
| Last Updated | July 10, 2023 |
| Assessment Regulations | |
| Assessment Details |
| Semester | Spring semester (start: Spring semester 24) |
| Institute / Site | University of Basel, Department of Biomedical Engineering |
| Format | Lecture weekly |
| Lecturer(s) | Pablo Sinues <pablo.sinues@unibas.ch> (Coordinator) Oliver Braissant Dominik Meinel Götz Schlotterbeck |
| Course Enrolment | Reg.: course registration, dereg: cancel course registration |
| Workload | 3 ECTS |
| Course contents | Overview to the analytical techniques and instrumentation used clinical chemistry laboratories in hospitals |
| Learning Outcome and Competences | After completing the module, students will be able to understand the basic principles of:%lb%• Spectrophotometry%lb%• Chromatography and electrophoresis%lb%• Electrochemistry%lb%• Mass spectrometry%lb%• Nuclear magnetic resonance technology and clinical applications%lb%• Immunoassays ¦ Nucleic acid analysis ¦ PCR%lb%• Laboratory automation%lb%• Point-of-care testing%lb%• Clinical microbiology%lb%• Microcalorimetry and thermal analysis%lb%• Cell and microbial cultures%lb% |
| Module | Biomedical Engineering Electives |
| Language | English |
| Bibliography (Mandatory / Optional) | |
| Entry Requirements | C12 Bioengineering I or a bachelor with a background with content of Bioengineering I |
| Comments | |
| Further Details | https://vorlesungsverzeichnis.unibas.ch/en/home?id=280147 |
| Last Updated | June 04, 2024 |
| Assessment Regulations | Type: record of achievement Repeatability: as often as necessary Evaluation Scale: 1-6 0,1 |
| Assessment Details | Student’s presentation & Multiple choice exam (50/50 weight) |
| Semester | Spring semester |
| Institute / Site | University of Basel, Department of Biomedical Engineering |
| Format | Lecture weekly |
| Lecturer(s) | Niklaus Friederich <niklaus-f.friederich@unibas.ch> (Coordinator) nn Nn |
| Course Enrolment | Reg.: course registration, dereg: cancel course registration |
| Workload | 3 ECTS |
| Course contents | Cardiac Electrophysiology Scoliosis -Therapy Neuro-angiological interventions Thoracic Imaging Neuro Imaging DaVinci Surgery Neurosurgery- Navigation Breath Analysis AI in the Hospital Artificial Heart 3 D Print |
| Learning Outcome and Competences |
| Module | Biomedical Engineering Electives |
| Language | English |
| Bibliography (Mandatory / Optional) | |
| Entry Requirements | Basics of human Anatomy similar to C60; limited number of students only, priority will be given to students the Master in Biomedical Engineering. |
| Comments | |
| Further Details | https://vorlesungsverzeichnis.unibas.ch/en/home?id=280136 |
| Last Updated | April 23, 2024 |
| Assessment Regulations | Type: record of achievement Repeatability: as often as necessary Evaluation Scale: 1-6 0,1 |
| Assessment Details | Presence: 80% (11/ 14 sessions) to be admitted to the exam. MCP- exam: |
| Semester | Spring semester (start: Spring semester 24) |
| Institute / Site | University of Basel, Department of Biomedical Engineering |
| Format | Lecture weekly |
| Lecturer(s) | Ferda Canbaz <ferda.canbaz@unibas.ch> (Coordinator) Arsham Hamidi |
| Course Enrolment | Reg.: course registration, dereg: cancel course registration |
| Workload | 3 ECTS |
| Course contents | Introduction: Nature of light, fundamentals of light-matter interactions, photobiology, photophysics, photochemistry, laser and light sources. Light-Tissue Interactions: Photochemical interaction, biostimulation, photo-thermal effects, photoablation, plasma-induced ablation, photo-acoustic effects, photon transport Spectroscopy: Absorption, diffuse reflectance, fluorescence, Raman and tissue spectroscopy Bioimaging Principles and Techniques: Introduction to optical microscopy, principle of image formation, amplitude and phase microscopy, polarization, fluorescence and confocal microscopy, optical diffraction tomography and new microscopic techniques. 3D Bioimaging: Optical coherence tomography, polarimetry, diffuse optical tomography, photothermal imaging, photoacoustic imaging and optical biopsy. |
| Learning Outcome and Competences | Students will learn the characteristics of light and lasers, laser-tissue interaction mechanisms, imaging conditions, and basics of 2D and 3D imaging modalities. %lb% With practical exercises, students will operate lasers and collect OCT images. |
| Module | Biomedical Engineering Electives |
| Language | English |
| Bibliography (Mandatory / Optional) | Recommended Reading: Prasad, P.N., “Introduction to Biophotonics”, (Wiley-VCH), 2003 Boudoux, C., "Fundamentals of Biomedical Optics, Niemz, H. M., "Laser-Tissue Interactions" Splinter, R., Hooper, B. A., "An introduction to Biomedical Optics" |
| Entry Requirements | Physics: electromagnetic theory and quantum mechanics basics, optics, electricity, and mechanics knowledge; Math: Fourier transform Limited student numbers (24), priority given to student in Biomedical Engineering |
| Comments | |
| Further Details | https://vorlesungsverzeichnis.unibas.ch/en/home?id=280137 |
| Last Updated | April 23, 2024 |
| Assessment Regulations | Type: record of achievement Repeatability: as often as necessary Evaluation Scale: 1-6 0,1 |
| Assessment Details | Attendance 5%, Practical Work 30%, Quiz 20% and Final oral Exam 45% |
| Semester | Spring semester (start: Spring semester 24) |
| Institute / Site | FHNW HLS Muttenz |
| Format | Type: Vorlesung Mode: MScBME - full semester |
| Lecturer(s) | David Hradetzky <david.hradetzky@fhnw.ch> (Coordinator) Reza Abedian Stephan Affolter Oliver Germershaus Jutta Hotz |
| Course Enrolment | https://esp.hls.fhnw.ch |
| Workload | 3 ECTS |
| Course contents | - Introduction (Hradetzky, 1 lessons)
- Drug delivery basics (Germershaus, 1, Abedian, 3) - Basics in drug delivery, uptake of drugs, mode of action, side effects - Biologics, nano medicine, oligonucleotide, gene therapy - Drug development (Abedian, 4) - Clinical development - Roadmap for drugs vs. medical devices - Regulations (Affolter, 6) - Pharma regulatory lifecycle, Pharma GMP - Combination products regulatory lifecycle in EU and US - QMS requirements for combination products Examples from the industry: - Coated and impregnated devices (Hotz, 8) - VI and associated devices: history, requirements, kinetics, verification & validation, lab and clinical testing, pre-clinical and clinical studies, challenges and pitfalls - Devices for self-administration (Affolter, 2, Abedian 3) - history, requirements, trends, kinetics, diagnostics, verification & validation, lab and clinical testing, human factor / usability studies, pre-clinical and clinical studies, challenges and pitfalls - Software as a medical device / connected combined products |
| Learning Outcome and Competences | After completing the module, students will be able to… … understand drug development process, stages and timelines … understand specific requirements of certain molecule types in interactions with delivery devices … develop a sound judgment on the most suitable delivery devices, considering design requirements, needs of certain drug substance and therapeutic areas as well as the target patient groups. |
| Module | Biomedical Engineering Electives |
| Language | English |
| Bibliography (Mandatory / Optional) | |
| Entry Requirements | Anatomy and Physiology |
| Comments | |
| Further Details | FHNW Inside-> "Mein Studium" |
| Last Updated | February 21, 2024 |
| Assessment Regulations | Examination, unlimited repeatable |
| Assessment Details | written examination (50%), project work (25%), group work (25%) |
| Semester | Spring semester (start: Spring semester 24) |
| Institute / Site | University of Basel, Department of Biomedical Engineering |
| Format | Lecture weekly |
| Lecturer(s) | Philippe Cattin <philippe.cattin@unibas.ch> (Coordinator) |
| Course Enrolment | Reg.: course registration, dereg: cancel course registration |
| Workload | 3 ECTS |
| Course contents | This course provides an introduction to deep learning and how this cutting-edge technology can be applied to medical image analysis. The course covers the following topics • Fundamentals of deep learning • Numerical optimization (for training machine learning models) • Multilayer perceptrons • Convolutional Neural Networks (CNNs) and their medical applications • Segmentation with CNNs • Autoencoders • Generative models • Deep learning models for sequential data. |
| Learning Outcome and Competences | • Understand the basics of deep learning and how it can be applied to medical image analysis%lb%• Understand numerical optimization algorithms used to train deep learning models%lb%• Understand the architecture and training of multilayer perceptrons and CNNs%lb%• Medical applications of MLPs and CNNs for classification, regression, segmentation, and anomaly detection tasks%lb%• Know different generative models and their medical applications%lb%• Know appropriate models for sequential data analysis |
| Module | Biomedical Engineering Electives |
| Language | English |
| Bibliography (Mandatory / Optional) | |
| Entry Requirements | C15; Medical Imaging and Medical Image Processing; Python Knowledge or C17 |
| Comments | |
| Further Details | https://vorlesungsverzeichnis.unibas.ch/en/home?id=280238 |
| Last Updated | April 23, 2024 |
| Assessment Regulations | Type: record of achievement Repeatability: as often as necessary Evaluation Scale: 1-6 0,1 |
| Assessment Details | written exam |
| Semester | Spring semester (start: Spring semester 24) |
| Institute / Site | FHNW HLS Muttenz |
| Format | Type: Vorlesung Mode: MScBME - full semester |
| Lecturer(s) | David Hradetzky <david.hradetzky@fhnw.ch> (Coordinator) Markus Renz |
| Course Enrolment | https://esp.hls.fhnw.ch |
| Workload | 3 ECTS |
| Course contents | Project Management (21 lessons)
- Introduction - Planning - Execution - Closure - PM in BME: Medical Device Development, Healthcare IT, Research (case studies)Advanced PM topics: Project Portfolio Management, Agile Project Management, Leadership in Project Management, Strategic Project Management, International Project Management, Capstone Project - Professional Development and Ethics: Ethics in Project Management, Professional Development for Project Managers, Project Management Certification Intellectual Property (7) - Overview - Legislation: Copyright, Patent, Trademark, Traded Secret |
| Learning Outcome and Competences | Learning outcomes • Project Planning: Develop proficiency in creating comprehensive project plans, including defining scope, schedules, budgets, and risk assessments. • Team Leadership: Acquire leadership skills to effectively manage and lead multidisciplinary teams • Risk Management: Demonstrate the ability to identify, assess, and manage risks associated with complex projects. • Communication Skills: Enhance communication skills for project stakeholders, including effective reporting, presentation, and documentation practices. • Understand IP Basics: Develop a foundational understanding of intellectual property laws, including patents, trademarks, and copyrights. • IP Strategy: Gain insights into formulating effective intellectual property strategies for protecting and managing innovations throughout their life cycle. • Patent Analysis: Acquire skills in conducting patent analyses, including searching, reading, and interpreting patents. Competences • Effective Collaboration: Collaborate efficiently with diverse stakeholders, integrating engineering expertise with project management principles to achieve project goals. • Resource Optimization: Optimize resources, both human and material, to ensure the successful completion of projects within time and budget constraints. • Adaptability: Develop adaptability and flexibility in responding to challenges and changes, applying agile project management principles when appropriate. • Strategic Decision-Making: Make informed decisions regarding the protection and commercialization of intellectual property. • IP Portfolio Management: Effectively manage and strategize intellectual property portfolios, considering business goals and market dynamics. • Ethical Considerations: Demonstrate an understanding of ethical considerations related to project decision-making and intellectual property. |
| Module | Biomedical Engineering Electives |
| Language | English |
| Bibliography (Mandatory / Optional) | |
| Entry Requirements | |
| Comments | |
| Further Details | FHNW Inside-> "Mein Studium" |
| Last Updated | February 13, 2024 |
| Assessment Regulations | Examination, unlimited repeatable |
| Assessment Details | project work (2/3 project management 1/2 intellectual property) |
| Semester | Spring semester (start: Spring semester 24) |
| Institute / Site | FHNW HLS Muttenz |
| Format | Type: Vorlesung Mode: MScBME - full semester |
| Lecturer(s) | Reto Wildhaber <reto.wildhaber@fhnw.ch> (Coordinator) |
| Course Enrolment | https://esp.hls.fhnw.ch |
| Workload | 3 ECTS |
| Course contents | - Bioelectrical Signals and Physical Measurements in Diagnostics: - Pathophysiology of selected cardiovascular, respiratory, and neuromuscular diseases. - Diagnostic methods based on bioelectrical signals such as: ECG (Electrocardiography), icECG (Intracoronary Electrocardiography), esoECG (Esophageal Electrocardiography), and others. - Diagnostic methods based on physical measurements such as: blood pressure, blood flow, blood gas, and air flow signals. - Fundamentals on Model-Based Signal Analysis: - Introduction to linear filters - Introduction to model-based signal analysis - Working in a least-squares framework - From sample to feature spaces - Feature space manipulations - Pattern detection, localization, and discrimination; recursive pattern matching - Parameter estimation in feature space - Distance measures and signal clustering/classification in feature space - Exercises and Practical Applications: - Analysis of physiologic and pathologic ECG signals (examples): - Extraction of heart rate and heart rate variability - P-, T-, and QRS-wave detection and discrimination - Identification of wave onsets and durations - Detection of arrhythmia, clustering of heart beat morphologies - Analysis of invasive blood pressure signal recordings: - Robust extraction of features in noisy signals such as minimum and maximum, notches, slopes, etc. |
| Learning Outcome and Competences | After completing the module, students will be able to… - understand bioelectric signals and how they are induced. - know some example diseases of the cardiovascular and pulmonary system and the purposes of diagnostic measurements and devices. - understand diagnostic tools that rely on bio(electrical) signals or dynamic pressure or flow measurements. - assess the quality of observed signals and is aware of most relevant signal artefacts. - understands the concepts of linear and non-linear filters. - understanding the concepts of time-domain and frequency-domain filtering - understands the concepts of model-based signal processing in a least-squares error framework. - understands complex model designs. - knows methods to detect known signal templates, such as ECG waves of particular shape, in a noisy and interfered signal. - knows methods to deal with superimposed signals (e.g., bioelectrical signals superimposed by some baseline artefacts). - knows methods to extract features from a biological signal. - knows how to take advantage of multi-channel signals. |
| Module | I. Medical Systems Engineering |
| Language | English |
| Bibliography (Mandatory / Optional) | Course material: - Lecture script & (some) slides, selected book chapters. Course references (optional): - R. A. Wildhaber et al., Signal Detection and Discrimination for Medical Devices Using Windowed State Space Filters, Biomedical Engineering (BioMed 2017), DOl: 10.2316IP.20J7.852-020 - Christopher M. Bishop, Pattern Recognition and Machine Learning, Springer, 2006 (Only selected chapters) - J. Enderle, J. Bronzino, Biomedical Engineering, 3rd Edition, Elsevier, 2012 (Only selected chapters) - R. A. Wildhaber et al., Windowed State-Space Filters for Signal Detection and Separation, IEEE Transactions on Signal Processing (Volume: 66, Issue: 14, July 15, 2018) |
| Entry Requirements | - Basic background in linear algebra and probability theory. - Basic programming skills in Python (or Matlab). - A background in human physiology. |
| Comments | |
| Further Details | FHNW Inside-> "Mein Studium" |
| Last Updated | February 13, 2024 |
| Assessment Regulations | Examination, unlimited repeatable |
| Assessment Details | Exercises or group works during the semester (20%) and written exam at semester end (80%). |
| Semester | Spring semester (start: Spring semester 24) |
| Institute / Site | University of Basel, Department of Biomedical Engineering |
| Format | Lecture with practical courses weekly |
| Lecturer(s) | Georg Rauter <georg.rauter@unibas.ch> (Coordinator) Nicolas Gerig |
| Course Enrolment | Reg.: course registration, dereg: cancel course registration |
| Workload | 3 ECTS |
| Course contents | The lecture is split into a lecture part, where students learn theoretical aspects on control and a practical part where they apply their knowledge on a real robotic system. The lecture will build upon basics in continuous linear time-invariant systems (LTI-systems, taught in 26937-01_Data Processing and Control). Starting with time discrete systems, the students will learn transforming time continuous systems to time discrete ones, see how to design simple controllers (PID), will employ Bode plots for control design according to certain requirements (cutoff frequency, phase margin, remaining error), test stability of systems using the Nyquist criterium. Furthermore, the students will learn about state transform and the invariance of transfer functions on state transform. The state transform consecutively used to bring control systems to first and second standard form to derive observability and controlability criteria. In a final theoretical part of the lecture, the students will learn about state control based on controller-canonical form, stabilization around an arbitrary operating point, observers, and finally Kalman filter. In the practical part of the lecture, the students will work in groups on an inverted pendulum setup using Matlab/Simulink and TwinCAT3. The task will be to design controllers to swing the pendulum up in a first case and to keep it upright in a second case. The students should design at least 2 different controllers to maintain the pendulum upright despite of disturbances and compare their controllers' performance. |
| Learning Outcome and Competences | The goal is to make students aware of a variety of different control principles for linear time-invariant systems (LTI-systems), their advantages and disadvantages. The knowledge is supported by practical examples tested in Matlab/Simulink and TwinCAT3 on a real robot (inverted pendulum) |
| Module | I. Medical Systems Engineering |
| Language | English |
| Bibliography (Mandatory / Optional) | Control Systems 1 (IRT at TU-Graz, Austria) https://www.tugraz.at/institute/irt/lehre/ergaenzende-informationen/control-systems-1/ Control Systems 2 (IRT at TU-Graz, Austria) https://www.tugraz.at/institute/irt/lehre/ergaenzende-informationen/control-systems-2/ Hans Peter Geering, Regelungstechnik: Mathematische Grundlagen, Entwurfsmethoden, Beispiele, Springer Hans Peter Geering, Optimal Control with Engineering Applications, Springer The following literature exceeds the content of the lecture, but is recommended for the interested reader for his/her future lectures or work in the field of control: FiOrdOs http://fiordos.ethz.ch/dokuwiki/doku.php T. Murakami, F. Yu, and K. Ohnishi, “Torque sensorless control in multidegree-of-freedom manipulator,” IEEE Transactions on Industrial Electronics, vol. 40, no. 2, pp. 259–265, 1993. A. Kato and K. Ohnishi, “Robust force sensorless control in motion control system,” 9th IEEE International Workshop on Advanced Motion Control, 2006., pp. 165–170, 2006. J. C. Hsu, A. U. Mayer, Modern Control Principles and Applications, McGraw Hill, New York, 1968 M. Athans, P. L. Falb, Optimal Control, McGraw Hill, New York, 1966 M. Papageorgiou, Optimierung, Oldenbourg Verlag, München, 1991 O. Föllinger, Optimierung dynamischer Systeme - eine Einführung für Ingenieure, R. Oldenbourg Verlag, München, 1985 Dimitri P. Bertsekas, Dynamic Programming and Optimal Control, Athena Scientific |
| Entry Requirements | Students should have prior knowledge on basic control theory: required course (or equivalents): 69469 - Introduction to LTI-Systems and Control 55664-01 - Blockkurs: Hands-on Introduction to Medical Robotics Hardware |
| Comments | |
| Further Details | https://vorlesungsverzeichnis.unibas.ch/en/home?id=280138 |
| Last Updated | January 31, 2024 |
| Assessment Regulations | Type: record of achievement Repeatability: as often as necessary Evaluation Scale: 1-6 0,1 |
| Assessment Details | Form: 2 homework assignments, group work, oral exam The students will have to hand in homework for the lectures until the end of the semester. 80% of the homework should be evaluated positive. In addition, the students have to complete practical work on a robotic system using Matlab/Simulink and TwinCAT3 during the semester (can be accomplished in small groups). The combination of Matlab/Simulink and TwinCAT3 is taught in a preeceeding block course one week before the beginning of every semester (55664-01 - Block course) and is therefore a requirement for attending this course. The homework and practical work will be discussed individually during an oral exam at the end of the semester. |
| Semester | Spring semester (start: Spring semester 24) |
| Institute / Site | FHNW HLS Muttenz |
| Format | Type: Vorlesung Mode: MScBME - full semester |
| Lecturer(s) | Daniel Seiler <daniel.seiler@fhnw.ch> (Coordinator) nn Nn |
| Course Enrolment | https://esp.hls.fhnw.ch |
| Workload | 3 ECTS |
| Course contents | Approach: Simulation in product development, simulation tools.
Finite element modelling: Abstraction, element properties, meshing, boundary conditions, loads and material models. Calculation: solution algorithms, convergence. Result evaluation: interpretation, verification and validation. Application areas: structural mechanics, fluid flow, heat transfer, chemical reactions, electrodynamics, acoustics. |
| Learning Outcome and Competences | - know the mathematical basics of the finite element method (FEM) - understand the relevant sub-steps such as abstraction of reality - know the technical limitations of FE programmes - can create FE models, carry out the calculation and evaluate them - can interpret and verify the FEM results |
| Module | I. Medical Systems Engineering |
| Language | English |
| Bibliography (Mandatory / Optional) | tbd |
| Entry Requirements | Basic in physics, mathematics |
| Comments | |
| Further Details | FHNW Inside-> "Mein Studium" |
| Last Updated | April 26, 2024 |
| Assessment Regulations | Examination, unlimited repeatable |
| Assessment Details | - Case studies - Presentation |
| Semester | Spring semester (start: Spring semester 24) |
| Institute / Site | FHNW HLS Muttenz |
| Format | Type: Vorlesung Mode: MScBME - full semester |
| Lecturer(s) | Maurizio Gullo <maurizio.gullo@fhnw.ch> (Coordinator) |
| Course Enrolment | https://esp.hls.fhnw.ch |
| Workload | 3 ECTS |
| Course contents | - Theory (26 lessons in presence) - Water as a biomaterial, Hydrogels, Cell material interaction, Cell injury. ECM andbiomimicry, Engineering with biological material, - Fabrication methods – Macro/Bioprinting, Inks, Biological building blocks, Vascularstructures, Complex multicellular tissues - Fabrication methods – Micro/Single cell, Polymer microfabrication methods, Sigle cell manipulationmethods, Engineering with single cells - Applications: Cochlea implants, Retina implants, Deep brain stimulation implants, Prostaticreplacement tissue, Cardiac supporting tissue, Skin tissue, tooth implants, biohybrid micro robots,biohybrid limbs - Exercises (6 lessons in presence) - Weekly or by weekly sessions to repeat and assess the knowledge transfer - Project work (10 lessons online) - Group work on a specific topic with report and presentation as output |
| Learning Outcome and Competences | After competition of the module the students will … Understand the different biological building blocks in bio fabrication Understand cell material interaction Understand hydrogel chemistry and ECM mimicry Understand cell/tissue repair processes at the micro scale Choose material and processes involved in biohybrid systems Know about sate of the art bio fabrication methods |
| Module | II. Biomaterials Science and Engineering |
| Language | English |
| Bibliography (Mandatory / Optional) | tbd |
| Entry Requirements | Basic physics and chemistry |
| Comments | |
| Further Details | FHNW Inside-> "Mein Studium" |
| Last Updated | February 13, 2024 |
| Assessment Regulations | Examination, unlimited repeatable |
| Assessment Details | Project work delivered by the end of the module: written report (60%) oral presentation (40%) |
| Semester | Spring semester (start: Spring semester 24) |
| Institute / Site | University of Basel, Department of Biomedical Engineering |
| Format | Lecture with practical courses weekly |
| Lecturer(s) | Bert Müller <bert.mueller@unibas.ch> (Coordinator) nn Nn |
| Course Enrolment | Reg.: course registration, dereg: cancel course registration |
| Workload | 3 ECTS |
| Course contents | Introduction to the nano-structural characterization of human tissues and medically relevant materials Electron microscopy and energy dispersive X-ray spectroscopy – experiments, Contact-angle measurements, Small-angle X-ray scattering experiments: Nanoparticles and proteins in solution, Small-angle X-ray scattering experiments: Polymers and lipid bilayers, (Spatially resolved) small-angle X-ray scattering experiments for tissue imaging and materials characterization, Student presentations and scientific discussions on nano-structural characterization of medically relevant materials |
| Learning Outcome and Competences | The students will become familiar with state-of-the art instrumentation for the characterization of medically relevant materials down to the molecular scale. Under supervision, they will carry out selected experiments and analyze their results. The related reports of the experiments not only support the performance review (grading) but, more important, they should enable the students to efficiently start with the envisioned Master thesis projects. |
| Module | II. Biomaterials Science and Engineering |
| Language | English |
| Bibliography (Mandatory / Optional) | |
| Entry Requirements | (C13) Materials in Medicine and Biomaterials, Basics in Mathematics similar knowledge to 52055-01 (C04), Recommanded to register to: C05/53772-01 and C21/70402-01, Nice to have: C16/ 69471 Basics in Mechanics: Statics und C56/70411-01 Basics in Statistics Limited student numbers, priority given to student in Biomedical Engineering |
| Comments | |
| Further Details | https://vorlesungsverzeichnis.unibas.ch/en/home?id=0 |
| Last Updated | May 23, 2024 |
| Assessment Regulations | Type: record of achievement Repeatability: as often as necessary Evaluation Scale: 1-6 0,1 |
| Assessment Details | Reports on experiments, rapid-fire presentation plus discussion |
| Semester | Spring semester (start: Spring semester 24) |
| Institute / Site | University of Basel, Department of Biomedical Engineering |
| Format | Lecture with practical courses weekly |
| Lecturer(s) | Madduri Srinivas <srinivas.madduri@unibas.ch> (Coordinator) Bert Müller |
| Course Enrolment | Reg.: course registration, dereg: cancel course registration |
| Workload | 3 ECTS |
| Course contents | Introduction to bioengineering and tissue characterization Tailoring biomaterials and their tissue interface for regenerative medicine, Polymeric and cellular drug delivery for tissue regeneration, Bioengineering of tissues and entire organs, Tissue bioengineering: Pre-clinical and clinical research, From human tissues to bio-inspired implants, tissue-materials interactions, Physical methods and their combination, Student presentations and scientific discussions on materials in medicine for tissue regeneration |
| Learning Outcome and Competences | The students will learn how to scientifically discuss, design and apply the interdisciplinary subject of tissue engineering and regenerative medicine exploiting state-of-the art literature. Based on a sound introduction and supervision, - within a workshop style - the students will treat with pre-selected journal articles to become familiar with a critical literature overview and multi-disciplinary knowledge for the envisioned Master thesis project and for future translational medical activities. The students will aquire presentation skills, and team spirit by learning and doing the active group presentations during the entire semester. |
| Module | II. Biomaterials Science and Engineering |
| Language | English |
| Bibliography (Mandatory / Optional) | |
| Entry Requirements | Basics in materials science (C13) |
| Comments | Limited number of students Priorities: Students of the Master in Biomedical Engineering Strong recommendation to combine this course with Characterizing Materials in Medicine: Nanoscience, 70410-01 |
| Further Details | https://vorlesungsverzeichnis.unibas.ch/en/home?id=280140 |
| Last Updated | April 09, 2024 |
| Assessment Regulations | Type: record of achievement Repeatability: as often as necessary Evaluation Scale: 1-6 0,1 |
| Assessment Details | continuous assessment Presentation on a selected topic, laboratory performance, laboratory report |
| Semester | Autumn semester (start: Autumn semester 24) |
| Institute / Site | University of Basel, Department of Biomedical Engineering |
| Format | Lecture weekly |
| Lecturer(s) | Philippe Cattin <philippe.cattin@unibas.ch> (Coordinator) |
| Course Enrolment | Reg.: course registration, dereg: cancel course registration |
| Workload | 3 ECTS |
| Course contents | In this course, students will learn about the most recent advances in the use of computers to aid in planning and executing surgeries. Focus will be on the general concepts of Computer-Assisted Surgery (CAS) systems. |
| Learning Outcome and Competences |
| Module | A. Computer-Assisted Surgery |
| Language | English |
| Bibliography (Mandatory / Optional) | |
| Entry Requirements | |
| Comments | |
| Further Details | https://vorlesungsverzeichnis.unibas.ch/en/home?id=285568 |
| Last Updated | August 30, 2024 |
| Assessment Regulations | Type: record of achievement Repeatability: as often as necessary Evaluation Scale: 1-6 0,1 |
| Assessment Details | 30 min oral exam |
| Semester | Autumn semester (start: Autumn semester 24) |
| Institute / Site | FHNW HLS Muttenz |
| Format | Type: Vorlesung Mode: MScBME - full semester |
| Lecturer(s) | Erik Schkommodau <erik.schkommodau@fhnw.ch> (Coordinator) |
| Course Enrolment | https://esp.hls.fhnw.ch |
| Workload | 3 ECTS |
| Course contents | Mathematical tools describing mechanical systems (coordinate transformations, Jacobi Matrix, Bezier splines, quaternion)
forward and backward transformation of serial robotic system - Denavit-Hartenberg notation - path generation - dynamic descriptions Practical exercise (6 lessons) - safety considerations - introduction to Stäubli programming language (offline and online programming of Stäubli TX60) |
| Learning Outcome and Competences | After completing the module, students will be able to… • understand kinematics of robots • apply mathematical tools to describe behaviour of mechanical systems using matlab • program an industrial robot • understand limits of robotical systems • know standard procedures of robots |
| Module | A. Computer-Assisted Surgery |
| Language | English |
| Bibliography (Mandatory / Optional) | Books - Craig, J.: Introduction to Robotics. Mechanics and Control. Reading (Mass.): AddisonWesley, 2005 - Canudasde Wit, C.; Siciliano, B.; Bastin, G. (Eds.): Theory of Robot Control. London: Springer-Verlag, 1996 - Sciavicco, L.; Siciliano, B.: Modelingand Control of Robot Manipulators. New York: McGraw Hill, 1996 - Spong; M.W.; Vidyasagar, M.: Robot Dynamicsand Control. New York: John Wiley, 1989 Journals: • The International Journal of Robotics Research • IEEE Journal of Robotics and Automation • IEEE Transactionson Mechatronics |
| Entry Requirements | • bachelor level of engineering/informatics • basic programming skills in MATLAB |
| Comments | The date of the practical exercise will be announced at the beginning of the lecture. |
| Further Details | FHNW Inside-> "Mein Studium" |
| Last Updated | May 23, 2024 |
| Assessment Regulations | Examination, unlimited repeatable |
| Assessment Details |
| Semester | Autumn semester (start: Autumn semester 24) |
| Institute / Site | University of Basel, Department of Biomedical Engineering |
| Format | Lecture with practical courses weekly |
| Lecturer(s) | Nicolas Gerig <nicolas.gerig@unibas.ch> (Coordinator) Georg Rauter |
| Course Enrolment | Reg.: course registration, dereg: cancel course registration |
| Workload | 3 ECTS |
| Course contents | Course contents Lecture (Nicolas Gerig, 26 (13x2) lessons) • presentation/discussion of a medical robot example from the market or research each week. • classifications of different devices fields of medical robots • actuation and control principles • digital and cascaded control • control paradigms • multi-objective control realizations • principles and application of sensory fusion Exercises (Nicolas Gerig or assistant(s), 13 lessons) • mathematical, programming, or control tuning assignments in e.g. MATLAB / Simulink to consolidate frontal teaching from lectures. Potential Group Projects (Nicolas Gerig and/or Phd students, ~13 update meetings) • practical group work (2-3 students) on a related challenging topic (e.g. multi-objective control, sensory fusion) with robotic demonstrator or haptic user interfaces at the BIROMED-Lab. |
| Learning Outcome and Competences | After completing the module, students will be able to…%lb%• classify different types of medical robots (surgical robots, robotic prosthetics/orthoses, assistive devices, rehabilitation training devices, medical simulators).%lb%• remember covered examples from industry and research.%lb%• understand the functionality of covered medical robots.%lb%• remember different actuation principles and their benefits/limitations.%lb%• understand limitations of digital control.%lb%• design control charts reflecting cascaded feedback control loops.%lb%• compare different control paradigms (such as Position vs. Force control, Impedance vs. Admittance control, dynamics-based vs. kinematic control).%lb%• implement simple feedback controllers and tune their parameters.%lb%• evaluate different forms of user-robot interaction.%lb%• understand challenges of multi-objective control.%lb%• implement state estimation based on sensory fusion from multiple sensors with different update rates and delays%lb% |
| Module | A. Computer-Assisted Surgery |
| Language | English |
| Bibliography (Mandatory / Optional) | Bibliography Books • Schweikard, A / Ernst, F.: Medical robotics, Springer 2015 • Siciliano, B. / Khatib, O. (Eds.): Springer Handbook of Robotics, Springer 2016 • Corke, P.: Robotics, vision and control: fundamental algorithms in MATLAB, Springer 2011 |
| Entry Requirements | • bachelor level of engineering/informatics • basic programming skills in MATLAB and the ability to adapt to other programming languages. • basic knowledge on control system modelling (C14 “Introduction to LTI Systems and Control) • basic knowledge of digital signal acquisition and filtering (C20 “Sensors and Signal Processing”) • experience on applying closed-loop feedback control (C35 “Applied Control”) • basic knowledge on serial robot kinematics or concurrent enrolment in C45 “Fundamentals in robotics |
| Comments | |
| Further Details | https://vorlesungsverzeichnis.unibas.ch/en/home?id=285574 |
| Last Updated | August 30, 2024 |
| Assessment Regulations | Type: record of achievement Repeatability: as often as necessary Evaluation Scale: 1-6 0,1 |
| Assessment Details |
| Semester | Autumn semester (start: Autumn semester 24) |
| Institute / Site | University of Basel, Department of Biomedical Engineering |
| Format | Lecture weekly |
| Lecturer(s) | Bert Müller <bert.mueller@unibas.ch> (Coordinator) Romy Marek |
| Course Enrolment | Reg.: course registration, dereg: cancel course registration |
| Workload | 3 ECTS |
| Course contents | Introduction to oral health from the clinical and engineering/research points of view, Fundamentals of hard X-ray imaging: Micro- and nanostructure of human crowns in health and disease, Ex vivo characterization of a human crown with a caries lesion: Excise at micro computed tomography system (SkyScan 1275), Mechanical removal of the caries-affected hard tissue, Ex vivo characterization of a human crown after removal of the caries lesions: Excise at micro computed tomography system, Preparation of dental fillings ex vivo using preselected materials, Ex vivo characterization of a human crown with dental filling: Excise at micro computed tomography system, Intraoral scanners: Function and accuracy, Intraoral scanners: Correct handling and training, Current and future aligner treatments, Devices to train the tongue muscles: Principles, medical applications and beyond, Studying the efficacy of bone graft materials and mineralization in jaw bone and teeth, Segmentation and data registration for the quantitative evaluation of the dental fillings, |
| Learning Outcome and Competences | The students will become familiar with the dentistry-related human anatomy and restoration treatments. They will acquire knowledge on state-of-the-art dental materials and technologies applied in well-equipped dental offices and learn how to quantitatively characterize crowns and dental materials using a microtomography system and an intraoral scanner. The students will learn to efficiently communicate with dentists and medical doctors. Finally scientific and commercial activities will be presented related to current challenges in dental research.%lb% |
| Module | B. Image Acquisition and Analysis |
| Language | English |
| Bibliography (Mandatory / Optional) | |
| Entry Requirements | |
| Comments | Max number of students: 12 Priorities: Master students in Biomedical Engineering |
| Further Details | https://vorlesungsverzeichnis.unibas.ch/en/home?id=285562 |
| Last Updated | August 30, 2024 |
| Assessment Regulations | Type: record of achievement Repeatability: as often as necessary Evaluation Scale: 1-6 0,1 |
| Assessment Details | Exam type: Written answers of the tutorial questions and reports on experiments. |
| Semester | Autumn semester (start: Autumn semester 24) |
| Institute / Site | University of Basel, Department of Biomedical Engineering |
| Format | Lecture with practical courses weekly |
| Lecturer(s) | Oliver Bieri <oliver.bieri@unibas.ch> (Coordinator) Oliver Bieri Francesco Santini Claudia Weidensteiner |
| Course Enrolment | Reg.: course registration, dereg: cancel course registration |
| Workload | 3 ECTS |
| Course contents | The course gives an overview of Magnetic Resonance Imaging (MRI) which is a non-invasive and ionizing radiation free diagnostic imaging technique that has found widespread applications in clinical routine and research. In this course we will first introduce the fundamentals of MR physics including: nuclear spin, magnetic moments, magnetization, radiofrequency pulse excitation and relaxation processes, which will be followed by topics related to MRI hardware and safety. We will discuss basic concepts of pulse sequences, spatial encoding, k-space and image formation. The final portion of the course will introduce specialized applications such as cardiovascular imaging, spectroscopy, diffusion weighted imaging and functional brain MRI, image artifacts as well as advanced image reconstruction techniques. During the exercises we will demonstrate how to operate an MRI unit, and show several different MR techniques in measurements in phantom and in-vivo. |
| Learning Outcome and Competences | Upon completion of the course students should have understanding of:%lb%%lb%- the physical principles of nuclear magnetic resonance%lb%- MRI unit and its safety aspects%lb%- magnetization excitation and relaxation processes%lb%- generation of image contrasts%lb%- creation of spin and gradient echo including schematics of basic pulse sequences%lb%- spatial encoding and k-space%lb%- image reconstruction%lb%- spectroscopy%lb%%lb%Furthermore students should be able to demonstrate knowledge of more advanced MRI techniques including: diffusion weighted imaging, functional brain MRI and cardiovascular imaging as well as examples of its applications.%lb% |
| Module | B. Image Acquisition and Analysis |
| Language | English |
| Bibliography (Mandatory / Optional) | From Picture to Proton“ von Cambridge University Press. |
| Entry Requirements | Limited number of students only, priority will be given to students from of the Master in Biomedical Engineering. Students who completed the course Principles in Medical Imaging will be allowed to register |
| Comments | |
| Further Details | https://vorlesungsverzeichnis.unibas.ch/en/home?id=285566 |
| Last Updated | August 30, 2024 |
| Assessment Regulations | Type: record of achievement Repeatability: as often as necessary Evaluation Scale: 1-6 0,1 |
| Assessment Details | Written exam (a mix of multiple choice "Kprim", single possible questions "Apos" and descriptive questions) |
| Semester | Autumn semester (start: Autumn semester 24) |
| Institute / Site | University of Basel, Department of Biomedical Engineering |
| Format | Lecture weekly |
| Lecturer(s) | Claudia Lenz <claudia.lenz@unibas.ch> (Coordinator) |
| Course Enrolment | Reg.: course registration, dereg: cancel course registration |
| Workload | 3 ECTS |
| Course contents | Introduction (2 lessons) • General introduction to forensic medicine Basic Research Tools (2 lessons) • Literature research, referencing • Scientific poster preparation • Python for image analyses of exercises X-ray & CT (6 lessons) • X-ray of living subjects in forensic medicine: general introduction, imaging tools, age estimation, fracture dating • Post mortem CT in forensic medicine: indication list, identification, research projects (automatic registration & detection of causes of death) • Exercises and poster presentation MRI (6 lessons) • MRI of living subjects in forensic medicine: general introduction, strangulation, research projects • Post mortem MRI in forensic medicine: potential, pitfalls, research projects • Exercises and poster presentation Forensic Photography (4 lessons) • General introduction to daylight & infrared photography, application in forensic medicine • Exercises and poster presentation Biomechanics (4 lessons) • General introduction, biomechanical models based on CT or MRI • Exercises and poster presentation Poster Evaluation (2 lessons) • Evaluation of posters, discussion with students/groups |
| Learning Outcome and Competences | After completing the module, students will be able to…%lb%• Have an overview of current applied and future potential methods in forensic imaging%lb%• Differentiate forensic and clinical applications%lb%• Have an overview of the discussed research tools%lb%• Explain and compare application of X-ray & CT in forensic medicine for living and post mortem subjects%lb%• Analyze X-ray & CT imaging data%lb%• Explain and compare application of MRI in forensic medicine for living and post mortem subjects%lb%• Analyze MRI imaging data%lb%• Explain and compare application of Infrared (IR) photography%lb%• Analyze IR data%lb%• Have an overview of the different biomechanical challenges in forensic medicine%lb%• Explain and evaluate different biomechanical models based on CT imaging%lb%• Analyze imaging data of biomechanical challenges%lb%• Evaluate / discuss and create poster on a relevant course topic%lb% |
| Module | B. Image Acquisition and Analysis |
| Language | English |
| Bibliography (Mandatory / Optional) | |
| Entry Requirements | • Medical Image Processing • Principles in Medical Imaging Further required competences: • Programming basics in Matlab & Python • Basic knowledge in literature research & research methodologies |
| Comments | |
| Further Details | https://vorlesungsverzeichnis.unibas.ch/en/home?id=285570 |
| Last Updated | August 30, 2024 |
| Assessment Regulations | Type: record of achievement Repeatability: as often as necessary Evaluation Scale: 1-6 0,1 |
| Assessment Details | • Attendance of lectures (80% to pass) • Scientific poster preparation (50%) • Poster presentation, to be presented at the corresponding session (during semester) (50%) • Exercises, to be submitted 2 weeks after every assignment (during semester) (80% filled out to pass) |
| Semester | Autumn semester (start: Autumn semester 24) |
| Institute / Site | FHNW HLS Muttenz |
| Format | Type: Vorlesung Mode: MScBME - full semester |
| Lecturer(s) | Antje Knopf <antje.knopf@fhnw.ch> (Coordinator) Måns Lundberg |
| Course Enrolment | https://esp.hls.fhnw.ch |
| Workload | 3 ECTS |
| Course contents | This course focuses on the latest research and technological advances in the application of physics concepts to cancer imaging and treatment. Week 1: In the first week, the students will be introduced to current problems and standard procedures in cancer imaging and treatment to give a clear perspective and understanding of the field. Between the first and second lecture week, students are expected to individually research and think about a challenge or innovation they individually want to focus on throughout the module. Week 2: On the second lecture week the students will pitch their idea in 2 min. In case students find it difficult to find an appropriate topic, the lecturer will provide them with suggestions. Week 3-4: Week 3 and 4 will be used to conduct a literature search on the individual topics and prepare the following: - 5-page report / handout summarizing the topic, providing 2-4 most informative references and 3-5 discussion questions (hand in end of week 4). - 30 min presentation on the topic followed by a 30 min hands on exercise or discussion. Week 5 onwards: Each week, 1 or 2 students will present their findings and guide their fellow students through a hands-on exercise or discussion. Last week: We will together summarize the findings and complement the student inputs with insights on top-ics that where not covered. |
| Learning Outcome and Competences | After completing the module, students will … • have an overview of current physics challenges in cancer imaging and treatment • have an overview of currently applied and future potential methods for cancer imaging and treatment • can name and explain advanced methods for cancer imaging and treatment • can evaluate, present, and discuss a relevant course topic |
| Module | B. Image Acquisition and Analysis |
| Language | English |
| Bibliography (Mandatory / Optional) | For example Kim, S., & Wong, J.W. (Eds.). (2018). Advanced and Emerging Technologies in Radiation Oncology Physics (1st ed.). CRC Press. https://doi.org/10.1201/9780429508141 |
| Entry Requirements | Required: C02 Programming Basics with MATLAB C15 Medical Imaging and Medical Image Processing* C24 Principles of Medical Imaging C31 Advanced Methods in Medical Image Analysis Nice to have: (C22 Optimisation Methods) (C36 Modelling and Simulation) |
| Comments | |
| Further Details | FHNW Inside-> "Mein Studium" |
| Last Updated | April 08, 2024 |
| Assessment Regulations | Examination, unlimited repeatable |
| Assessment Details | • Attendance of lectures (80% to pass) • 5 page written description of the chosen challenge • 30-40min seminar talk/discussion • preparation of a 30-40min hands-on exercise • pass/fail assessment |
| Semester | Autumn semester (start: Autumn semester 24) |
| Institute / Site | University of Basel, Department of Biomedical Engineering |
| Format | Lecture weekly |
| Lecturer(s) | Iris Schulz <iris.schulz@unibas.ch> (Coordinator) Götz Schlotterbeck |
| Course Enrolment | Reg.: course registration, dereg: cancel course registration |
| Workload | 3 ECTS |
| Course contents | Course contents Forensic Toxicology: Theme 1 Analytical methods in Forensic Toxicology (2h) • Analytical tools: LC-MS/MS, GC-MS/MS, Immunoassays… • Advantages and limitations Theme 2 Driving under the influence of alcohol and drugs (4h) • Biological matrices, sample preparation and measurement • Blood alcohol, limits, regulations • Relevant drugs, limit substances Theme 3 Hair analysis (2h) • Dealing with hair samples in the forensic context • Application of hair testing in abstinence control and crime case works Theme 4 New psychoactive substances (NPS) and knockout substances (2h) • Analytical tools to assess various compound classes • Case studies Forensic Genetics: Theme 1 Biological basis and current applied DNA analysis (4h) • Tasks of forensic genetics: trace, relationship and identification analyses • Human genome, structure and polymorphism; autosomal and gonosomal DNA short tandem repeats • DNA analysis methods: Immunological pre-tests, microscopy, staining, and differential lysis (DL), extraction, amplification and capillary electrophoresis, profile interpretation (biostatistics, database), law • RNA markers and mtDNA sequencing and their applications Theme 2 Specific DNA and RNA applications (3h) • Single cell isolation: Laser-Capture Microdissection (LCM), DEPArray and microfluidic principles, Flow-Cytometry (DEPArray) • Benefits and limits of classical (DL, LCM) and state-of-the-art technologies • RNA profiling and body fluid identification Theme 3 Future Methods (3h) • Principle of DNA sequencing • Pyrosequencing and Next Generation Sequencing • Phenotyping, biogeographic and age estimation |
| Learning Outcome and Competences | After completing the module, students will be able to…%lb%• possess scientific knowledge of the fundamental principles underlying forensic toxicology and forensic genetics.%lb%• know state-of-the-art technologies and future trends in forensic toxicological and forensic genetic methods, including their advances and limitations.%lb%• apply acquired knowledge to use existing instrumentations and techniques in forensic practices, and contribute to the development of new methodologies.%lb%• can clearly, effectively and concisely present their results to peers as well as to the public in written and oral form according to scientific standards.%lb% |
| Module | B. Image Acquisition and Analysis |
| Language | English |
| Bibliography (Mandatory / Optional) | |
| Entry Requirements | The course is designed for students holding a Bachelor’s degree of various backgrounds like engineering, natural sciences, computer sciences, medicine or health sciences |
| Comments | |
| Further Details | https://vorlesungsverzeichnis.unibas.ch/en/home?id=285572 |
| Last Updated | August 30, 2024 |
| Assessment Regulations | Type: record of achievement Repeatability: as often as necessary Evaluation Scale: 1-6 0,1 |
| Assessment Details | • Presentation on selected topics of 10 minutes on last lecture blocks, groups of 2 (50%) • Written outline of presentation, including literature study (50%) |
| Semester | Autumn semester (start: Autumn semester 24) |
| Institute / Site | FHNW HLS Muttenz |
| Format | Type: Vorlesung Mode: MScBME - full semester |
| Lecturer(s) | Simone Hemm <simone.hemm@fhnw.ch> (Coordinator) Raphael Guzman Dorian Vogel |
| Course Enrolment | https://esp.hls.fhnw.ch |
| Workload | 3 ECTS |
| Course contents | Neurophysiology - signal generation and propagation in the brain Electrophysiological mapping - Microelectrode recording, single unit recording - Local field potentials - Electrocorticography - Electroencephalogram/ Event related potentials - Magnetoencephalography - Optics for mapping Neurostimulation methods - Transcranial magnetic stimulation - Transcranial alternating current stimulation - Transcranial direct current stimulation - Peripheral nerve stimulation (vagus nerve, spinal cord) Deep brain stimulation - DBS Surgery - Technology - Atlases, Group analysis - Electric field Modelling - Stem Cell Therapy - Lab: Stereotactic planning Brain computer interfaces - Neurofeedback / Training - Machine control, Protheses, orthosis, communication - Lab: BCI Neuroethics |
| Learning Outcome and Competences | After completing the module, students will be able to… - understand the signal generation and propagation in the brain - know the different electrophysiological signals used for brain mapping and stimulation - know and understand different brain mapping techniques, neurostimulation methods and brain computer interfaces - know methods used for signal and data processing - know exemplary techniques used to analyse patient data to increase knowledge about mechanism of actions of stimulation - apply exemplary systems for diagnose and therapy - knows neuroethical concerns |
| Module | C. Diagnostics and Therapeutic Technologies |
| Language | English |
| Bibliography (Mandatory / Optional) | - Lecture slides, selected book chapters, papers suggested for paper reviews |
| Entry Requirements | Defined entry level - Basic knowledge on signal processing and image processing are a prerequisite to follow this course - basic knowledge in brain anatomy and physiology would be helpful but not mandatory |
| Comments | The date of the practical exercise will be announced at the beginning of the lecture. |
| Further Details | FHNW Inside-> "Mein Studium" |
| Last Updated | August 30, 2024 |
| Assessment Regulations | Examination, unlimited repeatable |
| Assessment Details | - written exam at semester end (100%) |
| Semester | Autumn semester (start: Autumn semester 24) |
| Institute / Site | University of Basel, Department of Biomedical Engineering |
| Format | Lecture weekly |
| Lecturer(s) | Heide Elke Viehweger <heideelke.viehweger@unibas.ch> (Coordinator) Annegret Mündermann Georg Rauter Morgan Sangeux |
| Course Enrolment | Reg.: course registration, dereg: cancel course registration |
| Workload | 3 ECTS |
| Course contents | Introduction Clinical Biomechanics Normal Walking and Observational Analysis Healthy Gait Kinematics: Clinical background Healthy Gait Kinematics: Mechanical understanding Inertial measurement units and their clinical utility and challenges Recap muscle physiology, Electromyography and its clinical application Kinetics: Mechanical background Kinetics: The kinetics of normal gait Robotics in clinics Clinical applications (lower limb, knee) Musculoskeletal Modelling in clinical application Clinical applications (foot, spine) Clinical applications |
| Learning Outcome and Competences | Motion Capture Principles: Students will gain an understanding of how a motion capture laboratory is set up in a clinical setting. They will gain an insight into the process of preparing laboratory equipment and data acquisition in a hospital environment.%lb%Motion Data Interpretation: By examining gait patterns and biomechanical parameters collected using various applications/technologies of clinical motion analysis, students gain a deeper understanding of human movement. Through examining a variety of cases from the fields of orthopaedics, neuroorthopaedics, sports and everyday life, students develop the ability to interpret movement data and identify abnormalities and their clinical consequences.%lb%Knowledge on Technical Applications in Clinical Motion/Gait Analysis: Students become familiar with the technical applications commonly used in clinical motion and gait analysis. Moreover, they learn which applications provide certain types of data, and gain insight into the complexity of motion data analysis. Additionally, students explore how biomechanical parameters are calculated and learn to navigate the challenges and limitations inherent in data collection systems.%lb%Transfer of Clinical Interpretation Knowledge: Through case studies, students learn to transfer their interpretation knowledge to different scenarios. By applying their understanding of biomechanical principles to various cases, students develop the ability to adapt their analytical skills to diverse clinical settings.%lb% |
| Module | C. Diagnostics and Therapeutic Technologies |
| Language | English |
| Bibliography (Mandatory / Optional) | BAKER, R., & HART, H. M. (2013). Measuring walking a handbook of clinical gait analysis. London, Mac Keith Press. http://site.ebrary.com/id/10705870. WINTER, D. A. (2009). Biomechanics and motor control of human movement. Hoboken, New Jersey, John Wiley & Sons Armand S, Sawacha Z, Goudriaan M, Horsak B, van der Krogt M, Huenaerts C, Daly C, Kranzl A, Boehm H, Petrarca M, Guiotto A, Merlo A, Spolaor F, Campanini I, Cosma M, Hallemans A, Horemans H, Gasq D, Moissenet F, Assi A, Sangeux M. Current practices in clinical gait analysis in Europe: A comprehensive survey-based study from the European society for movement analysis in adults and children (ESMAC) standard initiative. Gait Posture. 2024 Jun;111:65-74. doi: 10.1016/j.gaitpost.2024.04.014. Epub 2024 Apr 22. PMID: 38653178. Campanini I, Disselhorst-Klug C, Rymer WZ, Merletti R. Surface EMG in Clinical Assessment and Neurorehabilitation: Barriers Limiting Its Use. Front Neurol. 2020 Sep 2;11:934. doi: 10.3389/fneur.2020.00934. PMID: 32982942; PMCID: PMC7492208. |
| Entry Requirements | Participation to the following modules: - «minimal requirements» Basics in Physiology and Anatomy (C08 OR C60 OR C61) AND Basics in Maths and Mechanics (C04 AND C16) - «recommended requirements»: Extended knowledge in Maths and Mechanics (C05 and C21) - «nice to have»: Basics in Statistics C56 |
| Comments | |
| Further Details | https://vorlesungsverzeichnis.unibas.ch/en/home?id=285563 |
| Last Updated | August 30, 2024 |
| Assessment Regulations | Type: record of achievement Repeatability: as often as necessary Evaluation Scale: 1-6 0,1 |
| Assessment Details | Format: written exam (once per year, every autumn semester) Duration: 1.5 hours (multiple choice questions) Exam date: Friday 10.01.2022 (time to be determined) |
| Semester | Autumn semester (start: Autumn semester 24) |
| Institute / Site | University of Basel, Department of Biomedical Engineering |
| Format | Lecture with practical courses weekly |
| Lecturer(s) | Christof Stieger <christof.stieger@unibas.ch> (Coordinator) Hans Bernhard Yves Brand Tania Rinaldi Barkat |
| Course Enrolment | Reg.: course registration, dereg: cancel course registration |
| Workload | 3 ECTS |
| Course contents | ANATOMY AND PHYSIOLOGY OF THE HUMAN EAR BASIC ACOUSTICS HEARING LOSS AND SUBJECTIVE AUDIOMETRY OBJECTIVE AUDIOMETRY ELECTROACOUSTICS TRANSDUCER DESIGN CONVENTIONAL HEARING AIDS COCHLEAR IMPLANTS SURGICAL OR BIOLOGICAL REHABILITATION UPPER PATHWAYS PSYCHOACOUSTICS / BINAURAL HEARING |
| Learning Outcome and Competences |
| Module | C. Diagnostics and Therapeutic Technologies |
| Language | English |
| Bibliography (Mandatory / Optional) | |
| Entry Requirements | Limited number of students only, priority will be given to students of the Master in Biomedical Engineering. |
| Comments | |
| Further Details | https://vorlesungsverzeichnis.unibas.ch/en/home?id=285565 |
| Last Updated | August 30, 2024 |
| Assessment Regulations | Type: record of achievement Repeatability: as often as necessary Evaluation Scale: 1-6 0,1 |
| Assessment Details | 30 min oral exam, |
| Semester | Autumn semester (start: Autumn semester 24) |
| Institute / Site | University of Basel, Department of Biomedical Engineering |
| Format | Lecture weekly |
| Lecturer(s) | Arnaud Scherberich <arnaud.scherberich@unibas.ch> (Coordinator) Karoliina Pelttari |
| Course Enrolment | Reg.: course registration, dereg: cancel course registration |
| Workload | 3 ECTS |
| Course contents | Students will gain fundamental knowledge on regenerative surgery and its related aspects. Regenerative surgery is an interdisciplinary and rapidly emerging field of research and clinical applications aiming to repair, replace, or regenerate tissues or organs, with the goal of restoring loss of function due to congenital defects, diseases, damage/trauma or aging. |
| Learning Outcome and Competences |
| Module | D. Implants and Regenerative Technology |
| Language | English |
| Bibliography (Mandatory / Optional) | |
| Entry Requirements | |
| Comments | |
| Further Details | https://vorlesungsverzeichnis.unibas.ch/en/home?id=285567 |
| Last Updated | August 30, 2024 |
| Assessment Regulations | Type: record of achievement Repeatability: as often as necessary Evaluation Scale: 1-6 0,1 |
| Assessment Details | Written exam, Multiple Choice Questionnaire, 1h |
| Semester | Autumn semester (start: Autumn semester 24) |
| Institute / Site | FHNW HLS Muttenz |
| Format | Type: Vorlesung Mode: MScBME - full semester |
| Lecturer(s) | Michael de Wild <michael.dewild@fhnw.ch> (Coordinator) Bert Müller Guido Sigron Madduri Srinivas |
| Course Enrolment | https://esp.hls.fhnw.ch |
| Workload | 3 ECTS |
| Course contents | 01: Introduction, presentation and overview of the lecture and lecturers (de Wild/Müller/Madduri, 2)
02: Tissue-material interface and interactions (Madduri, 2) 03: Biomaterials, biocompatibility and bio-interfaces. Principles of surface-tissue interactions (Madduri, 2) 04: Concept and testing of bio- and haemocompatibility, ISO 10993, classes of biomaterials. Classification of biomaterials according to the reaction of the biological system. Biologically relevant structures from the nm- to the mm length scale. Spatial-temporal behaviour of the tissue-material interface during osseointegration. Physico-chemical, in-vitro, in-vivo and clinical assessments (de Wild, 2) 05: Surface modification techniques using physical and chemical strategies (Müller, 2) 06: Micro- and nano-structuring techniques (Müller, 2) 07: Chemical, physical, mechanical, thermal, optical, plasma-technical, electrochemical methods to (bio)chemically and topographically modify und functionalize surfaces of biomaterials (de Wild, 2) 08: Experimental systems for analysis surface roughness, chemistry, tribology; porosity, defects, coatings (de Wild, 2) 09: Tailoring biomaterials for regenerative medicine (Madduri, 2) 10: Bio-inspired implants (Müller, 2) 11: Protein-resistance and biochemical functionalization (de Wild, 2) 12: Biofilm: formation, clinical consequences, treatments (de Wild, 2) 13: Clinical emergence, treatments (Müller/Sigron, 2) 14: Summary and Repetition (de Wild/Müller/ Madduri, 2) |
| Learning Outcome and Competences | After completing the module, students will be able to… • explain the spatial-temporal behaviour of the tissue-material interface in detail. • describe biologically relevant structures from the nm- to the mm length scale. • sketch the mechanism of cell-adhesion. • argue why the cell-surface interaction is important and how it can be changed. • describe the consequences of a low contact angle implant surface in-vitro, in-vivo and clinically. • understand surface modification techniques using physical and chemical strategies. • describe various chemical, physical, mechanical, thermal, optical, plasma-technical, electrochemical methods to modify surfaces of biomaterials. • know about the use of surface functionalized materials and the importance of the properties of such materials for biomedical applications. • explain the term and the idea “protein-resistance”. • specify several approaches for antibacterial coatings. |
| Module | D. Implants and Regenerative Technology |
| Language | English |
| Bibliography (Mandatory / Optional) | - Buddy D. Ratner, Allan S. Hoffman, Frederick J. Schoen and Jack E. Lemons: "Biomaterials Science: An Introduction to Materials in Medicine", 2nd edition, Elsevier Academic Press. - H.M. Grandin, M. Textor, G.M. Whitesides, “Intelligent Surfaces in Biotechnology”, Wiley-vch, ISBN: 978-0-470-53650-6. - J. Breme, R. Thull, C.J. Kirkpatrick, “Metallic Biomaterial Interfaces”, Wiley-vch, ISBN 978-3-527-31860-5. |
| Entry Requirements | Defined entry level • Scientific background in medicine, chemistry, physics or analytical chemistry. • Basic lectures on chemistry and physics are a prerequisite to follow this course. |
| Comments | • Lectures • Power-point presentations as pdf-files • Parts of textbooks • Relevant journal articles • Group work, experiment evaluation and interpretation • Q&A session, Tutorial questions and example solutions 2 lectures per week à 45 Min, whole semester 14 weeks (1st and last event 2 lecturers: intro/overview/requirements, resp. summary/important points for exam/Q&A-session) |
| Further Details | FHNW Inside-> "Mein Studium" |
| Last Updated | June 04, 2024 |
| Assessment Regulations | Examination, unlimited repeatable |
| Assessment Details | • Written exam, 90 minutes |
| Semester | Autumn semester (start: Autumn semester 24) |
| Institute / Site | FHNW HLS Muttenz |
| Format | Type: Vorlesung Mode: MScBME - full semester |
| Lecturer(s) | Daniel Seiler <daniel.seiler@fhnw.ch> (Coordinator) nn Nn |
| Course Enrolment | https://esp.hls.fhnw.ch |
| Workload | 3 ECTS |
| Course contents | - Medical implants - Designing “hands on” patient specific implants - Medical additive manufacturing - Manufacturing and testing methods for medical implants - In vitro/in vivo testing and test methods according standards |
| Learning Outcome and Competences | After completing the module, students … - obtain an insight into different types of implants - obtain an insight into the design, development and testing implants - will be able to select appropriate fabrication technologies and procedures including additive manufacturing - will be able to select and apply testing methods for medical implants based on standards - will be able to decide on the applicability and to design patient specific implants |
| Module | D. Implants and Regenerative Technology |
| Language | English |
| Bibliography (Mandatory / Optional) | - IMDRF/PMD WG/N49 FINAL:2018 - FDA – Draft guidance for industry / Technical Considerations for Additive Manufactured Devices - Milan Brandt (2017) Laser Additive Manufacturing- Materials, Design, Technologies, and Applications |
| Entry Requirements | none |
| Comments | |
| Further Details | FHNW Inside-> "Mein Studium" |
| Last Updated | May 30, 2024 |
| Assessment Regulations | Examination, unlimited repeatable |
| Assessment Details | - Case studies - Project work |
| Semester | Autumn semester |
| Institute / Site | University of Basel, Department of Biomedical Engineering |
| Format | Block course Block |
| Lecturer(s) | Georg Rauter <georg.rauter@unibas.ch> (Coordinator) Nicolas Gerig |
| Course Enrolment | Reg.: course registration, dereg: cancel course registration |
| Workload | 2 ECTS |
| Course contents | Nowadays, there is large knowledge available about control from a theoretical point of view. However, getting an entire setup working from hardware integration, safety, control, up to the graphical user interface or virtual environment, is seldom taught. Participants will learn about basic differences in various automatization environments such as dSPACE, Matlab xPC Target, Matlab/Simulink, LabVIEW, and TwinCAT3. Within one week, the participants will learn how to integrate motors, sensors, and safety components in a predesigned electric cabinet for automation and control purposes. They will develop an automation application for a balancing and visual tracking application, integrate different control schemes, and write a graphical user interface to control the application in real-time. In groups up to four, the participants will learn how to integrate different hardware components in a real-time control system (TwinCAT3, Beckhoff). They will learn how to account for software safety for an application involving servo motors. After successful hardware and software safety integration, different control schemes (model based controllers, non-linear controllers, vision-based non-linear controllers, etc. ) will be integrated in Matlab/Simulink. After compilation for TwinCAT3, the controllers will work on an industrial embedded real-time PC. During runtime, the participants will be able adapting controllers-online, record data, and see the influence of different filters. Consequently, the participants will program their own graphical user interface (GUI) in the game development engine UNITY. This GUI can be interfaced with the real-time environment through an Automation Device Specification (ADS), i.e. a field bus interface for TwinCAT3. After first experiments with the hard and software, two groups will work together for realizing a two-degrees of freedom ball balancing application, where each group controls one degree of freedom. The feedback loop will be closed through real-time vision-data that needs to be extracted applying feature extraction in real-time. Finally, the performance of the teams’ solutions to the challenging application is evaluated in a friendly competition. |
| Learning Outcome and Competences | Hardware, and software integration in real-time applications.%lb%Basic knowledge in applied control (model-based control, non-linear control, cascade control).%lb%Real-time data extraction using computer vision algorithms.%lb%GUI-programming for real-time applications. |
| Module | Project Work and Practical Skills |
| Language | English |
| Bibliography (Mandatory / Optional) | |
| Entry Requirements | Basic knowledge in control, automation, computer vision, Matlab/Simulink and Unity programming is of advantage, but not required. Master program in Biomedical Engineering |
| Comments | |
| Further Details | https://vorlesungsverzeichnis.unibas.ch/en/home?id=285614 |
| Last Updated | August 30, 2024 |
| Assessment Regulations | Type: continuous assessment Repeatability: as often as necessary Evaluation Scale: Pass / Fail |
| Assessment Details | Participants, who need credits for their lecture need to inform the lecturer at the begin of the lecture that they require ECTS credits. The according students will have to perform additional practical exercises before or after the lecture to verify that they understood the content of the course. The participants need to be present at least for 80% of the course and need to pass 4 out of 5 small practical exercises. The course is rated as failed or passed. |
| Semester | Autumn semester (start: Autumn semester 24) |
| Institute / Site | University of Basel, Department of Biomedical Engineering |
| Format | Internship weekly |
| Lecturer(s) | Philippe Cattin <philippe.cattin@unibas.ch> (Coordinator) |
| Course Enrolment | Reg.: course registration, dereg: cancel course registration |
| Workload | 3 ECTS |
| Course contents |
| Learning Outcome and Competences |
| Module | Project Work and Practical Skills |
| Language | English |
| Bibliography (Mandatory / Optional) | |
| Entry Requirements | Limited number of students only, priority will be given to students of the Master in Biomedical Engineering. |
| Comments | |
| Further Details | https://vorlesungsverzeichnis.unibas.ch/en/home?id=285564 |
| Last Updated | August 30, 2024 |
| Assessment Regulations | Type: continuous assessment Repeatability: as often as necessary Evaluation Scale: 1-6 0,1 |
| Assessment Details | continuous assessment presentation: |
| Semester | Autumn semester (start: Autumn semester 24) |
| Institute / Site | University of Basel, Department of Biomedical Engineering |
| Format | Internship irregular |
| Lecturer(s) | Pablo Sinues <pablo.sinues@unibas.ch> (Coordinator) Oliver Braissant nn Nn |
| Course Enrolment | Reg.: course registration, dereg: cancel course registration |
| Workload | 3 ECTS |
| Course contents | Hands on training on: • Mass spectrometry • Spectrophotometric assays • Microscopy • Calorimetry Laboratory visits at: • Forensic toxicology • Clinical chemistry laboratories at University Hospitals |
| Learning Outcome and Competences |
| Module | Project Work and Practical Skills |
| Language | English |
| Bibliography (Mandatory / Optional) | |
| Entry Requirements | Bioengineering I and II |
| Comments | |
| Further Details | https://vorlesungsverzeichnis.unibas.ch/en/home?id=285569 |
| Last Updated | August 30, 2024 |
| Assessment Regulations | Type: continuous assessment Repeatability: as often as necessary Evaluation Scale: Pass / Fail |
| Assessment Details |
| Semester | Autumn semester (start: Autumn semester 24) |
| Institute / Site | FHNW HLS Muttenz |
| Format | Type: Laborpraktikum Mode: MScBME - full semester |
| Lecturer(s) | Romy Marek <romy.marek@fhnw.ch> (Coordinator) Michael de Wild Lydia Feller |
| Course Enrolment | https://esp.hls.fhnw.ch |
| Workload | 3 ECTS |
| Course contents | After an introduction event, the following analytical methods and experimental studies are performed in the materials science laboratories of the FHNW in Muttenz in groups: - tensile testing, - microstructural analysis and fractography, - impact testing, - SEM investigations, - XRD-analysis, - Surface functionalization and characterization, - Corrosion measurements, - Non-destructive testing (NDT, US), - thickness analysis. |
| Learning Outcome and Competences | After completing the module, students will be able to… • operate the characterization system independently • interpret the results of the measurements |
| Module | Project Work and Practical Skills |
| Language | English |
| Bibliography (Mandatory / Optional) | Experimental instructions with detailed description of each experiment. |
| Entry Requirements | Defined entry level • Module C13 passed • Scientific background in medicine, chemistry, physics or analytical chemistry. • Basic lectures on chemistry and physics are a prerequisite to follow this course. • The number of participants is limited to 12 students. |
| Comments | 4 practical hours bi-weekly, whole semester 14 weeks 1st lecture: intro/overview/requirements/rules. The date of the practical exercise will be announced at the beginning of the lecture. |
| Further Details | FHNW Inside-> "Mein Studium" |
| Last Updated | June 04, 2024 |
| Assessment Regulations | Examination, unlimited repeatable |
| Assessment Details | Course-related performance review: Reports, poster- and oral presentations. |
| Semester | Autumn semester (start: Autumn semester 24) |
| Institute / Site | University of Basel, Department of Biomedical Engineering |
| Format | Internship weekly |
| Lecturer(s) | Annegret Mündermann <annegret.muendermann@unibas.ch> (Coordinator) Marlene Mauch (USB) Corina Nüesch |
| Course Enrolment | Reg.: course registration, dereg: cancel course registration |
| Workload | 3 ECTS |
| Course contents | Mini project human movement invluding study design, data collection with different lab equipment, data processing, data analysis, final report Focus on synchronized real-time data analysis methods from the gait rehabilitation robot the FLOAT, IMUs, motion tracking, etc. applied to different small research questions. EMG-based control of an arm exoskeleton (Eduexo) using Arduino |
| Learning Outcome and Competences |
| Module | Project Work and Practical Skills |
| Language | English |
| Bibliography (Mandatory / Optional) | |
| Entry Requirements | Only students attending the lecture C42 Clinical Biomechanics during the same semester will be allowed to register. In maximum, 12 students can attend (first come, first serve). |
| Comments | |
| Further Details | https://vorlesungsverzeichnis.unibas.ch/en/home?id=285576 |
| Last Updated | August 30, 2024 |
| Assessment Regulations | Type: continuous assessment Repeatability: as often as necessary Evaluation Scale: Pass / Fail |
| Assessment Details |
| Semester | Autumn semester (start: Autumn semester 24) |
| Institute / Site | University of Basel, Department of Biomedical Engineering |
| Format | Internship fortnightly |
| Lecturer(s) | Oliver Bieri <oliver.bieri@unibas.ch> (Coordinator) Claudia Lenz |
| Course Enrolment | Reg.: course registration, dereg: cancel course registration |
| Workload | 3 ECTS |
| Course contents | Session CT I (4 lessons) • General introduction • Safety instructions • Instruction for writing reports • Image acquisition of object I, try different reconstruction kernels • Convert images to dicom, measure object dimension, discuss contrast & resolution • Find out which object it is Session MRI I (4 lessons) • General introduction • Safety instructions • Instruction for writing reports • Image acquisition of object I, try different sequences • Convert images to dicom, measure object dimension, discuss contrast & resolution • Find out which object it is Session CT II (4 lessons) • Image acquisition of object II • Try 3D segmentation • Find out which object it is Session MRI II (4 lessons) • Image acquisition of object II • Try 3D segmentation • Find out which object it is Session CT III (4 lessons) • Image acquisition of object III • Try tissue segmentation • Find out which object it is Session MRI III (4 lessons) • Image acquisition of object III • Try tissue segmentation • Find out which object it is Session Student Presentations (4 lessons) • Presentation and feedback • Comparison of CT & MRI |
| Learning Outcome and Competences | After completing the module, students will be able to…%lb%• Perform CT scans on objects/phantoms%lb%• Perform MRI scans on objects/phantoms%lb%• Know MR/CT safety reasons and rules%lb%• Explain the advantages and disadvantages of MRI/CT%lb%• Understand and explain image sequences and protocols%lb%• Know and discuss how to improve image sequences and protocols%lb%• Analyze CT images%lb%• Analyze MRI images%lb%• Evaluate and compare MRI and CT images%lb%• Illustrate and discuss results in scientific reports%lb%• Present and critically discuss results%lb% |
| Module | Project Work and Practical Skills |
| Language | English |
| Bibliography (Mandatory / Optional) | |
| Entry Requirements | Only students attending the lectures Forensic Imaging & MR Imaging during the same semester will be allowed to register. In maximum, 6 students can attend (first come, first serve). |
| Comments | |
| Further Details | https://vorlesungsverzeichnis.unibas.ch/en/home?id=285575 |
| Last Updated | August 30, 2024 |
| Assessment Regulations | Type: continuous assessment Repeatability: as often as necessary Evaluation Scale: Pass / Fail |
| Assessment Details | • Attendance of practical sessions minimum 80% • Scientific reports, to be submitted 2 weeks after practical session (80% filled out to pass) • Exercises, to be submitted 2 weeks after every assignment (during semester) (80% filled out to pass) • Presentation, to be presented at the end of the semester • Final grading: pass/fail |
| Semester | Autumn semester (start: Autumn semester 24) |
| Institute / Site | University of Basel, Department of Biomedical Engineering |
| Format | Type: Laborpraktikum Mode: MScBME - full semester |
| Lecturer(s) | |
| Course Enrolment | |
| Workload | 6 ECTS |
| Course contents |
| Learning Outcome and Competences |
| Module | Project Work and Practical Skills |
| Language | English |
| Bibliography (Mandatory / Optional) | |
| Entry Requirements | |
| Comments | |
| Further Details | |
| Last Updated | August 30, 2024 |
| Assessment Regulations | |
| Assessment Details |
| Semester | Autumn semester (start: Autumn semester 24) |
| Institute / Site | University of Basel, Department of Biomedical Engineering |
| Format | Block course weekly |
| Lecturer(s) | Annegret Mündermann <annegret.muendermann@unibas.ch> (Coordinator) nn Nn |
| Course Enrolment | Reg.: course registration, dereg: cancel course registration |
| Workload | 3 ECTS |
| Course contents | Modular course in 4 locations with an online theoretical introduction and an onsite training: Institute for Sport and Sport Sciences, University of Freiburg, Germany Department of Sport, Exercise and Health, University of Basel, Switzerland Institute for Sport and Sport Sciences, Karlsruhe Institute of Technology, Germany Department of Biomedical Engineering, University of Basel, Switzerland |
| Learning Outcome and Competences | The aim of the EUCOR course "3D Dimensions & 3D Destinations of Biomechanics - 3D Biomechanics" is to combine the expertise, resources and content differentiation of biomechanical research-related teaching at the three university locations Basel, Freiburg and Karlsruhe in the EUCOR network in a common teaching concept. The aim is to enable students to familiarize themselves with the broad spectrum of research and professional fields in the analysis of human movement and biomechanics in the related disciplines of sports science, medicine and engineering. Students will understand the diversity of research and career opportunities across the sites and fields. |
| Module | Project Work and Practical Skills |
| Language | English |
| Bibliography (Mandatory / Optional) | |
| Entry Requirements | For students of the DBE, only students attending the lecture C42 Clinical Biomechanics and C59 Hands-on Clinical Biomechanics and Ergonomics Engineering during the same semester will be allowed to register |
| Comments | Please bring your own food, food can be consumed during lunch time at the respective institution. Travel costs can be reimbursed for students of the University of Basel via Eucor (https://www.unibas.ch/de/Studium/Mobilitaet/Mobilitaet-Region/Eucor.html). For this purpose, the following documents must be sent to info.eucor@unibas.ch no later than three months after the end of the course(s) attended: - Tickets - Copy of a valid student ID or the current confirmation of matriculation - Signed confirmation of attendance of the course (received via course coordinator) - Bank account details and home address A maximum of 200 CHF for Fribourg and 500 CHF for Karlsruhe (for all EUCOR) courses can be refunded per semester. Students are responsible for informing themselves about the current conditions for reimbursement at Eucor. No costs will be covered by the university or the department." |
| Further Details | https://vorlesungsverzeichnis.unibas.ch/en/home?id=285613 |
| Last Updated | August 30, 2024 |
| Assessment Regulations | Type: continuous assessment Repeatability: as often as necessary Evaluation Scale: Pass / Fail |
| Assessment Details | Attendance is mandatory. Report on one of the course topics. The topics will be provided in the last session. |
| Semester | Autumn semester (start: Autumn semester 24) |
| Institute / Site | FHNW HLS Muttenz |
| Format | Type: Studierendenprojekt Mode: MScBME - full semester |
| Lecturer(s) | |
| Course Enrolment | https://esp.hls.fhnw.ch |
| Workload | 12 ECTS |
| Course contents |
| Learning Outcome and Competences |
| Module | Project Work and Practical Skills |
| Language | English |
| Bibliography (Mandatory / Optional) | |
| Entry Requirements | |
| Comments | |
| Further Details | FHNW Inside-> "Mein Studium" |
| Last Updated | April 06, 2024 |
| Assessment Regulations | Projektarbeit (Project Work) |
| Assessment Details |
| Semester | Autumn semester (start: Autumn semester 24) |
| Institute / Site | University of Basel, Department of Biomedical Engineering |
| Format | Type: Praktikum Mode: MScBME - full semester |
| Lecturer(s) | |
| Course Enrolment | |
| Workload | 12 ECTS |
| Course contents |
| Learning Outcome and Competences |
| Module | Project Work and Practical Skills |
| Language | English |
| Bibliography (Mandatory / Optional) | |
| Entry Requirements | |
| Comments | |
| Further Details | |
| Last Updated | March 26, 2024 |
| Assessment Regulations | |
| Assessment Details |
| Semester | Spring semester (start: study year 24/25) |
| Institute / Site | FHNW HLS Muttenz |
| Format | Type: Master-Thesis Mode: MScBME - full semester |
| Lecturer(s) | |
| Course Enrolment | https://esp.hls.fhnw.ch |
| Workload | 30 ECTS |
| Course contents |
| Learning Outcome and Competences |
| Module | Master Thesis |
| Language | English |
| Bibliography (Mandatory / Optional) | |
| Entry Requirements | |
| Comments | |
| Further Details | FHNW Inside-> "Mein Studium" |
| Last Updated | April 09, 2024 |
| Assessment Regulations | Projektarbeit (Project Work) |
| Assessment Details |
| Semester | Spring semester (start: study year 24/25) |
| Institute / Site | University of Basel, Department of Biomedical Engineering |
| Format | Type: Master-Thesis Mode: MScBME - full semester |
| Lecturer(s) | |
| Course Enrolment | |
| Workload | 30 ECTS |
| Course contents |
| Learning Outcome and Competences |
| Module | Master Thesis |
| Language | English |
| Bibliography (Mandatory / Optional) | |
| Entry Requirements | |
| Comments | |
| Further Details | |
| Last Updated | July 10, 2023 |
| Assessment Regulations | |
| Assessment Details |