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 | Reg: https://esp.hls.fhnw.ch (registration dates will be announced and published) Dereg.: before end calendar week 10 (spring) and 40 (autumn) via email to studierendenadministration.lifesciences@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 Auxilium -> "Mein Studium" |
Last Updated | August 29, 2024 |
Assessment Regulations | Examination per registration: one repetition, best attempt counts (Re-)registration: no repetition |
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 |
Lecturer(s) | Emanuel Burri <e.burri@unibas.ch> (Assessor) Patrizia Amico Matthias Betz Josef Bischofberger Michael Brauchle Felix Burkhalter Magdalena Filipowicz Sinnreich Frank-Martin Häcker Patricia Hirt-Minkowski Gwendolin Marie Manegold-Brauer Matthias Matter Robert Mechera Svetozar Subotic |
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 |
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 commo |
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/course-directory?id=285553 |
Last Updated | January 24, 2025 |
Assessment Regulations | Examination per registration: one repetition, best attempt counts (Re-)registration: no repetition |
Assessment Details | Assessment format: main lecture exam Examen Multiple Choice Exam 17.01.2025 9:00 - 11:00 Pharmazentrum Hörsaal 1 |
Semester | Autumn semester (start: Autumn semester 24) |
Institute / Site | University of Basel, Department of Biomedical Engineering |
Format | Lecture with internship |
Lecturer(s) | Niklaus F. Friederich <niklaus-f.friederich@unibas.ch> (Assessor) Josef Bischofberger Michael Brauchle Emmanuel Contassot Beat Göpfert Simon Herger Michael Hirschmann Florian Imhoff Markus Knupp Annegret Mündermann Cordula Maria Netzer Andrej Nowakowski Claudio Rosso |
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/course-directory?id=285558 |
Last Updated | January 24, 2025 |
Assessment Regulations | Examination per registration: one repetition, best attempt counts (Re-)registration: no repetition |
Assessment Details | Assessment format: main lecture exam Examen, Multiple Choice Prüfung 22.01.2025 9:00 - 11:00 Pharmazentrum Hörsaal 1 |
Semester | Autumn semester (start: Autumn semester 24) |
Institute / Site | University of Basel, Department of Biomedical Engineering |
Format | Lecture with internship |
Lecturer(s) | Cristina Granziera <cristina.granziera@unibas.ch> (Assessor) Josef Bischofberger Michael Brauchle Alessandro Cagol Markus Knupp Stylianos Kouvaros Laurent Muller Katrin Parmar Regina Maria Marga Schläger Tim Sinnecker Markus Weber |
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/course-directory?id=285555 |
Last Updated | January 24, 2025 |
Assessment Regulations | Examination per registration: one repetition, best attempt counts (Re-)registration: no repetition |
Assessment Details | Assessment format: main lecture exam Examen, Multiple Choice Exam: 13.01.2025 9:00 - 11:00 Pharmazentrum Hörsaal 1 |
Semester | Autumn semester (start: Autumn semester 24) |
Institute / Site | University of Basel, Department of Biomedical Engineering |
Format | Lecture with internship |
Lecturer(s) | Anna Marsano <anna.marsano@unibas.ch> (Assessor) Petya Apostolova Florent Baty Christoph Berger Josef Bischofberger Lucas Boeck Michael Brauchle Elisabeth Eppler Philip Haaf Beat Kaufmann Jakob R. Passweg Michael Zellweger |
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 car |
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/course-directory?id=285554 |
Last Updated | January 24, 2025 |
Assessment Regulations | Examination per registration: one repetition, best attempt counts (Re-)registration: no repetition |
Assessment Details | Assessment format: main lecture exam Examen Multiple Choice Exam 24.01.2025 9:00 - 11:00 Pharmazentrum Hörsaal 1 |
Semester | Autumn semester |
Institute / Site | University of Basel, Department of Biomedical Engineering |
Format | Lecture |
Lecturer(s) | Karoliina Pelttari-Göritz <karoliina.pelttari@unibas.ch> (Assessor) Andrea Banfi Andrea Barbero Nunzia Di Maggio Roberto Gianni' Barrera Elisabeth Artemis Kappos Olga Krupkova Anna Marsano Ivan Martin Adrien Moya 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 |
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 rapidl |
Module | Biomedical Basics |
Language | English |
Bibliography (Mandatory / Optional) | |
Entry Requirements | |
Comments | |
Further Details | https://vorlesungsverzeichnis.unibas.ch/en/course-directory?id=285549 |
Last Updated | January 24, 2025 |
Assessment Regulations | Examination per registration: one repetition, best attempt counts (Re-)registration: as often as necessary |
Assessment Details | Assessment format: record of achievement Presentation of a topic related to Tissue Regeneration Multiple Choice Exam 20.01.2025 14:00 - 15:00 "Biozentrum, Hörsaal U1.141" Attendance of 10/14 lectures minimum is mandatory |
Semester | Autumn semester |
Institute / Site | University of Basel, Department of Biomedical Engineering |
Format | Lecture |
Lecturer(s) | Pablo Sinues <pablo.sinues@unibas.ch> (Assessor) Valentina Basoli Olivier Braissant Urs Duthaler Vanessa Hofmann David Schürmann Simon Schwarz |
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 gene |
Learning Outcome and Competences | After completing the module, students will be able to: • Comprehend essential notions necessary for a training in biology-related engineering fields. • Describe the basic components and functions found in cells • Translate information from geneti |
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 |
Entry Requirements | |
Comments | |
Further Details | https://vorlesungsverzeichnis.unibas.ch/en/course-directory?id=284683 |
Last Updated | January 24, 2025 |
Assessment Regulations | Examination per registration: one repetition, best attempt counts (Re-)registration: as often as necessary |
Assessment Details | Assessment format: record of achievement Student’s presentation & Multiple choice exam (50/50 weight) exam: 15.01.2025 14:00 -16:00 Computer Room |
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 | Reg: https://esp.hls.fhnw.ch (registration dates will be announced and published) Dereg.: before end calendar week 10 (spring) and 40 (autumn) via email to studierendenadministration.lifesciences@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 Auxilium -> "Mein Studium" |
Last Updated | June 04, 2024 |
Assessment Regulations | Examination per registration: one repetition, best attempt counts (Re-)registration: no repetition |
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 | Reg: https://esp.hls.fhnw.ch (registration dates will be announced and published) Dereg.: before end calendar week 10 (spring) and 40 (autumn) via email to studierendenadministration.lifesciences@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 Auxilium -> "Mein Studium" |
Last Updated | June 04, 2024 |
Assessment Regulations | Examination per registration: one repetition, best attempt counts (Re-)registration: as often as necessary |
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 | Reg: https://esp.hls.fhnw.ch (registration dates will be announced and published) Dereg.: before end calendar week 10 (spring) and 40 (autumn) via email to studierendenadministration.lifesciences@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 Auxilium -> "Mein Studium" |
Last Updated | February 13, 2024 |
Assessment Regulations | Examination per registration: one repetition, best attempt counts (Re-)registration: no repetition |
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 |
Lecturer(s) | Edgar Delgado-Eckert <edgar.delgado-eckert@unibas.ch> (Assessor) Oumeymah Cherkaoui Nair Nan von Mühlenen |
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. - Learn the basic concepts of linear algebra and vector spaces. - Apply the theory of vector spaces to analyzing data, e.g., principal component analysis (PCA). |
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/course-directory?id=285550 |
Last Updated | January 24, 2025 |
Assessment Regulations | Examination per registration: one repetition, best attempt counts (Re-)registration: no repetition |
Assessment Details | Assessment format: main lecture exam - Examen - 50% of homework exercises points. - Written exam; 17.01.2025 14:00 - 16:00 "Biozentrum, Seminarraum U1.197" |
Semester | Autumn semester |
Institute / Site | University of Basel, Department of Biomedical Engineering |
Format | Lecture with practical courses |
Lecturer(s) | Georg Rauter <georg.rauter@unibas.ch> (Assessor) Nicolas Gerig Aysegül Kilic Michael Sommerhalder |
Course Enrolment | Reg.: course registration, dereg: cancel course registration |
Workload | 3 ECTS |
Course contents | In this lecture, the students will be introduced into the field of statics, which is a subfield of mechanics. Statics summarizes the most fundamental principles of static objects and their possible interaction forces/torques with the environment. Also int |
Learning Outcome and Competences | The goal of this lecture is that the students should be able to identify if a problem is statically determined and thus can be solved by the means of this course. They will learn how to cut free objects and analyse the interaction forces/torques of static |
Module | Engineering Basics |
Language | English |
Bibliography (Mandatory / Optional) | Literature on Statics Karl Wohlhart, Statik Grundlagen und Beispiele, Springer Russ C. Hibbeler, Engineering Mechanics, Statics, Paerson Introduction to Matlab David Houcque, Introduction to MATLAB for engineering students, Northwestern Un |
Entry Requirements | |
Comments | Basics that are relevant for the master studies in Biomedical Engineering: https://dbe.unibas.ch/en/education/master-of-science/master-program-starting-in-hs-2023/ |
Further Details | https://vorlesungsverzeichnis.unibas.ch/en/course-directory?id=284528 |
Last Updated | January 24, 2025 |
Assessment Regulations | Examination per registration: one repetition, best attempt counts (Re-)registration: no repetition |
Assessment Details | Assessment format: main lecture exam The exam will be held in written form (2.5h). The students will not need any digital tool for problem solving. Accordingly, the allowed tools to bring to the exam is a sheet of hand-written formulas. Otherwise only tools for writing on paper are needed. F |
Semester | Autumn semester |
Institute / Site | University of Basel, Department of Biomedical Engineering |
Format | Lecture with practical courses |
Lecturer(s) | Philippe Claude Cattin <philippe.cattin@unibas.ch> (Assessor) 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 |
Learning Outcome and Competences | 1. Understand Python fundamentals and gain proficiency in the language. 2. Learn essential tools for Python development, e.g., Visual Studio, GitHub, and consoles. 3. Explore important Python features and libraries, e.g., classes, modules, numpy, pa |
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/course-directory?id=285552 |
Last Updated | January 24, 2025 |
Assessment Regulations | Examination per registration: no repeat examination (Re-)registration: as often as necessary |
Assessment Details | Assessment format: continuous assessment 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 | Reg: https://esp.hls.fhnw.ch (registration dates will be announced and published) Dereg.: before end calendar week 10 (spring) and 40 (autumn) via email to studierendenadministration.lifesciences@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 Auxilium -> "Mein Studium" |
Last Updated | June 04, 2024 |
Assessment Regulations | Examination per registration: one repetition, best attempt counts (Re-)registration: no repetition |
Assessment Details | Written exam, 90 minutes |
Semester | Autumn semester |
Institute / Site | University of Basel, Department of Biomedical Engineering |
Format | Lecture with practical courses |
Lecturer(s) | Georg Rauter <georg.rauter@unibas.ch> (Assessor) Nicolas Gerig Cédric Schicklin Carina Schmidt |
Course Enrolment | Reg.: course registration, dereg: cancel course registration |
Workload | 3 ECTS |
Course contents | The lecture will be held in inverted classroom format. The lectures for the following week, will be online in form of videos on Tuesday night before the next lecture the Tuesday after. The students are required to watch the lecture and prepare questions u |
Learning Outcome and Competences | The students should become able to analyze simple physical systems and embed them in closed-loop controllers. They should be able to calculate the system's response based on input to the system in the time domain. In detail, the students should become |
Module | Biomedical Engineering Basics |
Language | English |
Bibliography (Mandatory / Optional) | Katsuhiko Ogata, Modern Control Engineering, Prentice Hall, 2010https://www.academia.edu/43692259/Modern_Control_Engineering_Fifth_Edition orhttp://docs.znu.ac.ir/members/pirmohamadi_ali/Control/Katsuhiko%20Ogata%20_%20Modern%20Control%20Engineering%205th |
Entry Requirements | |
Comments | Basics that are relevant for the master studies in Biomedical Engineering: https://dbe.unibas.ch/en/education/master-of-science/master-program-starting-in-hs-2023/ |
Further Details | https://vorlesungsverzeichnis.unibas.ch/en/course-directory?id=285551 |
Last Updated | January 24, 2025 |
Assessment Regulations | Examination per registration: one repetition, best attempt counts (Re-)registration: no repetition |
Assessment Details | Assessment format: main lecture exam The exam will be held in written form (2.5h). The students will not need any digital tool for problem solving. Accordingly, the allowed tools to bring to the exam is a sheet of hand-written formulas. Otherwise only tools for writing on paper are needed. F |
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 | Reg: https://esp.hls.fhnw.ch (registration dates will be announced and published) Dereg.: before end calendar week 10 (spring) and 40 (autumn) via email to studierendenadministration.lifesciences@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 Auxilium -> "Mein Studium" |
Last Updated | February 13, 2024 |
Assessment Regulations | Examination per registration: one repetition, best attempt counts (Re-)registration: no repetition |
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 | Reg: https://esp.hls.fhnw.ch (registration dates will be announced and published) Dereg.: before end calendar week 10 (spring) and 40 (autumn) via email to studierendenadministration.lifesciences@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 Auxilium -> "Mein Studium" |
Last Updated | January 07, 2025 |
Assessment Regulations | Examination per registration: (Re-)registration: |
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 |
Lecturer(s) | Georg Rauter <georg.rauter@unibas.ch> (Assessor) Nicolas Gerig Aysegül Kilic Michael Sommerhalder |
Course Enrolment | Reg.: course registration, dereg: cancel course registration |
Workload | 3 ECTS |
Course contents | Point kinematics Kinematics of rigid bodies Basics of kinetics Kinetics of rigid bodies Kinetics of the center of mass Energy laws Oscillations The lecture is set up as an inverted class room: The theoretical content of the lectur |
Learning Outcome and Competences | Understanding the theory and being able to solve simple problems on the following topics: Point kinematics Kinematics of rigid bodies Basics of kinetics Kinetics of rigid bodies Kinetics of the center of mass Energy laws Oscillations[ |
Module | Biomedical Engineering Basics |
Language | English |
Bibliography (Mandatory / Optional) | Karl Wohlhart, Dynamik Grundlagen und Beispiele, Springer Russ C. Hibbeler, Engineering Mechanics, Dynamics, Paerson M. Hiller, Mechanische Systeme: Einführung in die analytische Mechanik u. Systemdynamik, Springer |
Entry Requirements | Basics in Mechanics - Statics, C16 |
Comments | |
Further Details | https://vorlesungsverzeichnis.unibas.ch/en/course-directory?id=290093 |
Last Updated | January 24, 2025 |
Assessment Regulations | Examination per registration: one repetition, best attempt counts (Re-)registration: as often as necessary |
Assessment Details | Assessment format: record of achievement Written Exam on the lecture content at the end of the semester (2.5h): 10 points out of 20 possible points Date will be communicated You are allowed to bring one hand-written A4 sheet of formulas for the exam(front and back) No technical aids |
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 | Reg: https://esp.hls.fhnw.ch (registration dates will be announced and published) Dereg.: before end calendar week 10 (spring) and 40 (autumn) via email to studierendenadministration.lifesciences@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 Auxilium -> "Mein Studium" |
Last Updated | April 05, 2024 |
Assessment Regulations | Examination per registration: one repetition, best attempt counts (Re-)registration: as often as necessary |
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 |
Lecturer(s) | Pablo Sinues <pablo.sinues@unibas.ch> (Assessor) 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 |
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 regressio |
Module | Biomedical Engineering Basics |
Language | English |
Bibliography (Mandatory / Optional) | |
Entry Requirements | Programming in MATLAB at the level of course “Programming Basics with MATLAB” Programming in Python at the level of course “Programming Basics with Python”/ 69472 |
Comments | |
Further Details | https://vorlesungsverzeichnis.unibas.ch/en/course-directory?id=290096 |
Last Updated | January 24, 2025 |
Assessment Regulations | Examination per registration: one repetition, best attempt counts (Re-)registration: as often as necessary |
Assessment Details | Assessment format: record of achievement • 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 |
Lecturer(s) | Edgar Delgado-Eckert <edgar.delgado-eckert@unibas.ch> (Assessor) 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 equat |
Learning Outcome and Competences | - Representing functions as weighted infinite sums or integrals of suitable basic functions, such as trigonometric functions (Fourier series and Fourier transforms). - Laplace transforms: Learn how the operations of differentiation and integration can |
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, 52055-01 ). |
Comments | Digital media via "Cengage’s WebAssign" (https://www.webassign.net/wa-auth/login) |
Further Details | https://vorlesungsverzeichnis.unibas.ch/en/course-directory?id=290089 |
Last Updated | January 24, 2025 |
Assessment Regulations | Examination per registration: one repetition, best attempt counts (Re-)registration: as often as necessary |
Assessment Details | Assessment format: record of achievement - 50% of homework exercises points. - Written exam. - Exam date: July 2024, |
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 | Reg: https://esp.hls.fhnw.ch (registration dates will be announced and published) Dereg.: before end calendar week 10 (spring) and 40 (autumn) via email to studierendenadministration.lifesciences@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 Auxilium -> "Mein Studium" |
Last Updated | February 13, 2024 |
Assessment Regulations | Examination per registration: one repetition, best attempt counts (Re-)registration: as often as necessary |
Assessment Details | project work |
Semester | Spring semester (start: Spring semester 24) |
Institute / Site | University of Basel, Department of Biomedical Engineering |
Format | Lecture |
Lecturer(s) | Philippe Claude Cattin <philippe.cattin@unibas.ch> (Assessor) Oliver Bieri |
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 (S |
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. 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 & Wil |
Entry Requirements | (C15) Medical Imaging and Medical Image Processing |
Comments | |
Further Details | https://vorlesungsverzeichnis.unibas.ch/en/course-directory?id=290085 |
Last Updated | January 24, 2025 |
Assessment Regulations | Examination per registration: one repetition, best attempt counts (Re-)registration: as often as necessary |
Assessment Details | Assessment format: record of achievement 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 | Examination per registration: (Re-)registration: |
Assessment Details |
Semester | Spring semester (start: Spring semester 24) |
Institute / Site | University of Basel, Department of Biomedical Engineering |
Format | Lecture |
Lecturer(s) | Pablo Sinues <pablo.sinues@unibas.ch> (Assessor) Valentina Basoli Olivier Braissant Dominik Meinel Götz Schlotterbeck Claudia Weidensteiner |
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: • Spectrophotometry • Chromatography and electrophoresis • Electrochemistry • Mass spectrometry • Nuclear magnetic resonance technology and clinical a |
Module | Biomedical Engineering Electives |
Language | English |
Bibliography (Mandatory / Optional) | |
Entry Requirements | Bioengineering I or a bachelor with a background with content of Bioengineering I |
Comments | |
Further Details | https://vorlesungsverzeichnis.unibas.ch/en/course-directory?id=290094 |
Last Updated | January 24, 2025 |
Assessment Regulations | Examination per registration: one repetition, best attempt counts (Re-)registration: as often as necessary |
Assessment Details | Assessment format: record of achievement Student’s presentation & Multiple choice exam (50/50 weight) |
Semester | Spring semester |
Institute / Site | University of Basel, Department of Biomedical Engineering |
Format | Lecture |
Lecturer(s) | Philipp Honigmann <philipp.honigmann@unibas.ch> (Assessor) Grzegorz Baumann Alexandre Datta Niklaus F. Friederich Alvaro Gonzalez Jimenez Cristina Granziera Martin T.R. Grapow Raphael Guzman Sven Knecht Lester Melie Garcia Alexander Navarini Marios-Nikos Psychogios Neha Sharma Pablo Sinues Danie |
Course Enrolment | Reg.: course registration, dereg: cancel course registration |
Workload | 3 ECTS |
Course contents | 3 D Print Breath Analysis Neuro-angiological interventions Thoracic Imaging Cardiac Electrophysiology Application of percutaneous, intravascular techniques in cardiology Bone Workshop DaVinci Neurosurgery- Navigation Technologie |
Learning Outcome and Competences |
Module | Biomedical Engineering Electives |
Language | English |
Bibliography (Mandatory / Optional) | |
Entry Requirements | Basics of human Anatomy, 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/course-directory?id=290092 |
Last Updated | January 24, 2025 |
Assessment Regulations | Examination per registration: one repetition, best attempt counts (Re-)registration: as often as necessary |
Assessment Details | Assessment format: record of achievement Presence: 75% (10/ 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 |
Lecturer(s) | Ferda Canbaz <ferda.canbaz@unibas.ch> (Assessor) 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, photoa |
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. 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/course-directory?id=290087 |
Last Updated | January 24, 2025 |
Assessment Regulations | Examination per registration: one repetition, best attempt counts (Re-)registration: as often as necessary |
Assessment Details | Assessment format: record of achievement Practical Work (mandatory) 30%, Quiz 10% and Final oral Exam 60% |
Semester | Spring semester |
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 | Reg: https://esp.hls.fhnw.ch (registration dates will be announced and published) Dereg.: before end calendar week 10 (spring) and 40 (autumn) via email to studierendenadministration.lifesciences@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 Auxilium -> "Mein Studium" |
Last Updated | February 10, 2025 |
Assessment Regulations | Examination per registration: one repetition, best attempt counts (Re-)registration: as often as necessary |
Assessment Details | written examination (52%), group work (48%) |
Semester | Spring semester (start: Spring semester 24) |
Institute / Site | University of Basel, Department of Biomedical Engineering |
Format | Lecture |
Lecturer(s) | Philippe Claude Cattin <philippe.cattin@unibas.ch> (Assessor) Florentin Bieder |
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 machin |
Learning Outcome and Competences | • Understand the basics of deep learning and how it can be applied to medical image analysis • Understand numerical optimization algorithms used to train deep learning models • Understand the architecture and training of multilayer perceptrons and C |
Module | Biomedical Engineering Electives |
Language | English |
Bibliography (Mandatory / Optional) | |
Entry Requirements | (C15) Medical Imaging and Medical Image Processing; Python Knowledge similar to course 69472 Limited student numbers, priority given to student in Biomedical Engineering |
Comments | |
Further Details | https://vorlesungsverzeichnis.unibas.ch/en/course-directory?id=290090 |
Last Updated | January 24, 2025 |
Assessment Regulations | Examination per registration: one repetition, best attempt counts (Re-)registration: as often as necessary |
Assessment Details | Assessment format: record of achievement 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) Olga Matvienko Markus Renz |
Course Enrolment | Reg: https://esp.hls.fhnw.ch (registration dates will be announced and published) Dereg.: before end calendar week 10 (spring) and 40 (autumn) via email to studierendenadministration.lifesciences@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 Auxilium -> "Mein Studium" |
Last Updated | February 10, 2025 |
Assessment Regulations | Examination per registration: one repetition, best attempt counts (Re-)registration: as often as necessary |
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 | Reg: https://esp.hls.fhnw.ch (registration dates will be announced and published) Dereg.: before end calendar week 10 (spring) and 40 (autumn) via email to studierendenadministration.lifesciences@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 - M. Vetter et al., Foundations of Signal Processing, Cambridge University Press(selected chapters) - Christopher M. Bishop, Pattern Recognition and Machine Learning, Springer, 2006 (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 Auxilium -> "Mein Studium" |
Last Updated | December 17, 2024 |
Assessment Regulations | Examination per registration: one repetition, best attempt counts (Re-)registration: as often as necessary |
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 |
Lecturer(s) | Georg Rauter <georg.rauter@unibas.ch> (Assessor) Nicolas Gerig Murali Krishna Karnam Cédric Schicklin Carina Schmidt |
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, use them in exercises, and a practical part where they apply their knowledge on a real robotic system in group projects. The lectures are taught in an inverted |
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 |
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 |
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 (is highly recommended) |
Comments | |
Further Details | https://vorlesungsverzeichnis.unibas.ch/en/course-directory?id=290088 |
Last Updated | January 24, 2025 |
Assessment Regulations | Examination per registration: one repetition, best attempt counts (Re-)registration: as often as necessary |
Assessment Details | Assessment format: record of achievement At the end of the semester, there will be a written exam (1h), where the students need to reach at least 10 out of 20 points to pass. The exam will focus on demonstrating the understanding basic the concepts of control that were covered in the lecture.[NS |
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) Norbert Hofmann nn Nn Simon Zimmermann |
Course Enrolment | Reg: https://esp.hls.fhnw.ch (registration dates will be announced and published) Dereg.: before end calendar week 10 (spring) and 40 (autumn) via email to studierendenadministration.lifesciences@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 Auxilium -> "Mein Studium" |
Last Updated | January 13, 2025 |
Assessment Regulations | Examination per registration: one repetition, best attempt counts (Re-)registration: as often as necessary |
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 | Reg: https://esp.hls.fhnw.ch (registration dates will be announced and published) Dereg.: before end calendar week 10 (spring) and 40 (autumn) via email to studierendenadministration.lifesciences@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 Auxilium -> "Mein Studium" |
Last Updated | February 13, 2024 |
Assessment Regulations | Examination per registration: one repetition, best attempt counts (Re-)registration: as often as necessary |
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 |
Lecturer(s) | Bert Müller <bert.mueller@unibas.ch> (Assessor) Hans Deyhle Mattia Humbel Iwan Jerjen Zarah Korb Bekim Osmani |
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, contact-angel measurements and small-angle X-ray scattering experiments Introduction to electron microscopy and energy dispersive X-ray spectroscopy |
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 relate |
Module | II. Biomaterials Science and Engineering |
Language | English |
Bibliography (Mandatory / Optional) | |
Entry Requirements | Mandatory: (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 Bas |
Comments | |
Further Details | https://vorlesungsverzeichnis.unibas.ch/en/course-directory?id=290095 |
Last Updated | January 24, 2025 |
Assessment Regulations | Examination per registration: one repetition, best attempt counts (Re-)registration: as often as necessary |
Assessment Details | Assessment format: record of achievement Answers to tutorial questions, reports on experiments and PSI visit, 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 |
Lecturer(s) | Srinivas Madduri <srinivas.madduri@unibas.ch> (Assessor) Bert Müller Guido Sigron |
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, |
Learning Outcome and Competences | The students will learn how to scientifically discuss the interdisciplinary subject of tissue regeneration exploiting state-of-the art literature. Based on a sound introduction and supervision, - within a workshop style - the students will treat with pre- |
Module | II. Biomaterials Science and Engineering |
Language | English |
Bibliography (Mandatory / Optional) | |
Entry Requirements | Basics in materials science (C13) |
Comments | Limited number of students only 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/course-directory?id=290091 |
Last Updated | January 24, 2025 |
Assessment Regulations | Examination per registration: one repetition, best attempt counts (Re-)registration: as often as necessary |
Assessment Details | Assessment format: record of achievement 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 |
Lecturer(s) | Philippe Claude Cattin <philippe.cattin@unibas.ch> (Assessor) |
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- and Robot-Assisted Medicine |
Language | English |
Bibliography (Mandatory / Optional) | |
Entry Requirements | |
Comments | |
Further Details | https://vorlesungsverzeichnis.unibas.ch/en/course-directory?id=285568 |
Last Updated | January 24, 2025 |
Assessment Regulations | Examination per registration: one repetition, best attempt counts (Re-)registration: as often as necessary |
Assessment Details | Assessment format: record of achievement 30 min oral exam 07.01.2025 9:00 - 16:00 Hegenheimermattweg 167b, Lecture Hall 02.097 indiidual exam slot will be communicated via email |
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 | Reg: https://esp.hls.fhnw.ch (registration dates will be announced and published) Dereg.: before end calendar week 10 (spring) and 40 (autumn) via email to studierendenadministration.lifesciences@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- and Robot-Assisted Medicine |
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 Auxilium -> "Mein Studium" |
Last Updated | May 23, 2024 |
Assessment Regulations | Examination per registration: one repetition, best attempt counts (Re-)registration: as often as necessary |
Assessment Details |
Semester | Autumn semester (start: Autumn semester 24) |
Institute / Site | University of Basel, Department of Biomedical Engineering |
Format | Lecture with practical courses |
Lecturer(s) | Nicolas Gerig <nicolas.gerig@unibas.ch> (Assessor) Murali Krishna Karnam Ruben Martin Rodriguez 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 princip |
Learning Outcome and Competences | After completing the module, students will be able to… • classify different types of medical robots (surgical robots, robotic prosthetics/orthoses, assistive devices, rehabilitation training devices, medical simulators). • remember covered examples |
Module | A. Computer- and Robot-Assisted Medicine |
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, Springe |
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 knowled |
Comments | |
Further Details | https://vorlesungsverzeichnis.unibas.ch/en/course-directory?id=285574 |
Last Updated | January 24, 2025 |
Assessment Regulations | Examination per registration: one repetition, best attempt counts (Re-)registration: as often as necessary |
Assessment Details | Assessment format: record of achievement Closed book examination at the end of the semester (50 %): Exam date: 14.01.2025, 9:00 - 11:00 Exam Location: Hegenheimermattweg 167b, Lecture Hall 02.097 Lab group project presentation 20 minutes and report hand-in (50%) For the 2 special event wee |
Semester | Autumn semester (start: Autumn semester 24) |
Institute / Site | University of Basel, Department of Biomedical Engineering |
Format | Lecture |
Lecturer(s) | Georg Schulz <georg.schulz@unibas.ch> (Assessor) Hans Deyhle Andres Izquierdo Romy Marek Bert Müller Daphne Schönegg Guido Sigron Christine Tanner Tino Töpper Jeannette Astrid von Jackowski |
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 |
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 quantitativel |
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/course-directory?id=285562 |
Last Updated | January 24, 2025 |
Assessment Regulations | Examination per registration: one repetition, best attempt counts (Re-)registration: as often as necessary |
Assessment Details | Assessment format: record of achievement 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 |
Lecturer(s) | Grzegorz Baumann <g.baumann@unibas.ch> (Assessor) 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 introdu |
Learning Outcome and Competences | Upon completion of the course students should have understanding of: - the physical principles of nuclear magnetic resonance - MRI unit and its safety aspects - magnetization excitation and relaxation processes - generation of image contra |
Module | B. Image Acquisition and Analysis |
Language | English |
Bibliography (Mandatory / Optional) | From Picture to Proton“ von Cambridge University Press. |
Entry Requirements | The course is recommended for students who completed the Principles in Medical Imaging. |
Comments | |
Further Details | https://vorlesungsverzeichnis.unibas.ch/en/course-directory?id=285566 |
Last Updated | January 24, 2025 |
Assessment Regulations | Examination per registration: one repetition, best attempt counts (Re-)registration: as often as necessary |
Assessment Details | Assessment format: record of achievement Written exam (a mix of multiple choice "Kprim", single possible questions "Apos" and descriptive questions) 09.01.2025 10:00 - 12:00 Biozentrum, Seminarraum U1.197 |
Semester | Autumn semester (start: Autumn semester 24) |
Institute / Site | University of Basel, Department of Biomedical Engineering |
Format | Lecture |
Lecturer(s) | Claudia Lenz <claudia.lenz@unibas.ch> (Assessor) Celine Berger Dominique Neuhaus Andrea Zirn |
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 lesso |
Learning Outcome and Competences | After completing the module, students will be able to… • Have an overview of current applied and future potential methods in forensic imaging • Differentiate forensic and clinical applications • Have an overview of the discussed research tools[NS |
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/course-directory?id=285570 |
Last Updated | January 24, 2025 |
Assessment Regulations | Examination per registration: one repetition, best attempt counts (Re-)registration: as often as necessary |
Assessment Details | Assessment format: record of achievement • 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) |
Semester | Autumn semester |
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 | Reg: https://esp.hls.fhnw.ch (registration dates will be announced and published) Dereg.: before end calendar week 10 (spring) and 40 (autumn) via email to studierendenadministration.lifesciences@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 Auxilium -> "Mein Studium" |
Last Updated | January 27, 2025 |
Assessment Regulations | Examination per registration: one repetition, best attempt counts (Re-)registration: as often as necessary |
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 |
Lecturer(s) | Iris Schulz <iris.schulz@unibas.ch> (Assessor) Urs Duthaler 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) • B |
Learning Outcome and Competences | After completing the module, students will be able to… • possess scientific knowledge of the fundamental principles underlying forensic toxicology and forensic genetics. • know state-of-the-art technologies and future trends in forensic toxicologica |
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/course-directory?id=285572 |
Last Updated | January 24, 2025 |
Assessment Regulations | Examination per registration: one repetition, best attempt counts (Re-)registration: as often as necessary |
Assessment Details | Assessment format: record of achievement • 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) Indrit Bègue Raphael Guzman Alois C. Hopf Marcello Ienca Dorian Vogel |
Course Enrolment | Reg: https://esp.hls.fhnw.ch (registration dates will be announced and published) Dereg.: before end calendar week 10 (spring) and 40 (autumn) via email to studierendenadministration.lifesciences@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 Auxilium -> "Mein Studium" |
Last Updated | September 23, 2024 |
Assessment Regulations | Examination per registration: one repetition, best attempt counts (Re-)registration: as often as necessary |
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 |
Lecturer(s) | Heide Elke Viehweger <heideelke.viehweger@unibas.ch> (Assessor) Matilde Bertoli Linda Bühl Lauren Stephanie Waiman Chee Eleonora Croci Beat Göpfert Simon Herger Marlene Mauch Sébastien Muheim Annegret Mündermann Corina Nüesch Georg Rauter Jacqueline Romkes Morgan Sangeux Michèle Widmer Regine Zibo |
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 Re |
Learning Outcome and Competences | Motion Capture Principles: Students will gain an understanding of how a center of motion capture 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. |
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 |
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 C |
Comments | |
Further Details | https://vorlesungsverzeichnis.unibas.ch/en/course-directory?id=285563 |
Last Updated | January 24, 2025 |
Assessment Regulations | Examination per registration: one repetition, best attempt counts (Re-)registration: as often as necessary |
Assessment Details | Assessment format: record of achievement Format: written exam (once per year, every autumn semester) Duration: 1.5 hours (multiple choice questions) Exam date:10.01.2025 14:00 - 16:00 Biozentrum, Seminarraum U1.191 |
Semester | Autumn semester (start: Autumn semester 24) |
Institute / Site | University of Basel, Department of Biomedical Engineering |
Format | Lecture with practical courses |
Lecturer(s) | Christof Stieger <christof.stieger@unibas.ch> (Assessor) 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 REHABILITATIO |
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/course-directory?id=285565 |
Last Updated | January 24, 2025 |
Assessment Regulations | Examination per registration: one repetition, best attempt counts (Re-)registration: as often as necessary |
Assessment Details | Assessment format: record of achievement 30 min oral exam, 16&17.01.2025, individual exam slot will be communicated by email |
Semester | Autumn semester (start: Autumn semester 24) |
Institute / Site | University of Basel, Department of Biomedical Engineering |
Format | Lecture |
Lecturer(s) | Arnaud Scherberich <arnaud.scherberich@unibas.ch> (Assessor) Martin Ehrbar Maria Filippova Andres Garcia-Garcia Alexander Haumer Ivan Martin Marcus Mumme Manuele Giuseppe Muraro Karoliina Pelttari-Göritz Florian Markus Thieringer |
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 org |
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/course-directory?id=285567 |
Last Updated | January 24, 2025 |
Assessment Regulations | Examination per registration: one repetition, best attempt counts (Re-)registration: as often as necessary |
Assessment Details | Assessment format: record of achievement Written exam, Multiple Choice Questionnaire, 1h 22.01.2025 14:00 -15:00 "Biozentrum, Hörsaal U1.141" |
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 | Reg: https://esp.hls.fhnw.ch (registration dates will be announced and published) Dereg.: before end calendar week 10 (spring) and 40 (autumn) via email to studierendenadministration.lifesciences@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 Auxilium -> "Mein Studium" |
Last Updated | June 04, 2024 |
Assessment Regulations | Examination per registration: one repetition, best attempt counts (Re-)registration: as often as necessary |
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) Bernhard Pultar Andreas Roser Neha Sharma |
Course Enrolment | Reg: https://esp.hls.fhnw.ch (registration dates will be announced and published) Dereg.: before end calendar week 10 (spring) and 40 (autumn) via email to studierendenadministration.lifesciences@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 Auxilium -> "Mein Studium" |
Last Updated | January 21, 2025 |
Assessment Regulations | Examination per registration: one repetition, best attempt counts (Re-)registration: as often as necessary |
Assessment Details | - Case studies - Project work |
Semester | Autumn semester |
Institute / Site | University of Basel, Department of Biomedical Engineering |
Format | Block course |
Lecturer(s) | Georg Rauter <georg.rauter@unibas.ch> (Assessor) Nicolas Gerig Murali Krishna Karnam |
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.[ |
Learning Outcome and Competences | Hardware, and software integration in real-time applications. Basic knowledge in applied control (model-based control, non-linear control, cascade control). GUI-programming for real-time applications. Real-time data extraction using computer visi |
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/course-directory?id=285614 |
Last Updated | January 24, 2025 |
Assessment Regulations | Examination per registration: no repeat examination (Re-)registration: as often as necessary |
Assessment Details | Assessment format: continuous assessment Participants will have to record and hand in instruction videos (5 min) on selected topics of the course in small groups and a video that addresses the overall impression on the course. In addition, the participants need to be present at least for 80% of |
Semester | Autumn semester (start: Autumn semester 24) |
Institute / Site | University of Basel, Department of Biomedical Engineering |
Format | Internship |
Lecturer(s) | Philippe Claude Cattin <philippe.cattin@unibas.ch> (Assessor) |
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/course-directory?id=285564 |
Last Updated | January 24, 2025 |
Assessment Regulations | Examination per registration: no repeat examination (Re-)registration: as often as necessary |
Assessment Details | Assessment format: continuous assessment continuous assessment presentation: |
Semester | Autumn semester (start: Autumn semester 24) |
Institute / Site | University of Basel, Department of Biomedical Engineering |
Format | Internship |
Lecturer(s) | Pablo Sinues <pablo.sinues@unibas.ch> (Assessor) Valentina Basoli Olivier Braissant Mélina Richard |
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/course-directory?id=285569 |
Last Updated | January 24, 2025 |
Assessment Regulations | Examination per registration: no repeat examination (Re-)registration: as often as necessary |
Assessment Details | Assessment format: continuous assessment |
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 | Reg: https://esp.hls.fhnw.ch (registration dates will be announced and published) Dereg.: before end calendar week 10 (spring) and 40 (autumn) via email to studierendenadministration.lifesciences@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 Auxilium -> "Mein Studium" |
Last Updated | June 04, 2024 |
Assessment Regulations | Examination per registration: one repetition, best attempt counts (Re-)registration: as often as necessary |
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 |
Lecturer(s) | Annegret Mündermann <annegret.muendermann@unibas.ch> (Assessor) Linda Bühl Lauren Stephanie Waiman Chee Eleonora Croci Beat Göpfert Sébastien Muheim Corina Nüesch Georg Rauter |
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, |
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/course-directory?id=285576 |
Last Updated | January 24, 2025 |
Assessment Regulations | Examination per registration: no repeat examination (Re-)registration: as often as necessary |
Assessment Details | Assessment format: continuous assessment |
Semester | Autumn semester (start: Autumn semester 24) |
Institute / Site | University of Basel, Department of Biomedical Engineering |
Format | Internship |
Lecturer(s) | Oliver Bieri <oliver.bieri@unibas.ch> (Assessor) Grzegorz Baumann Celine Berger Claudia Lenz Dominique Neuhaus Francesco Santini Claudia Weidensteiner Andrea Zirn |
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 contr |
Learning Outcome and Competences | After completing the module, students will be able to… • Perform CT scans on objects/phantoms • Perform MRI scans on objects/phantoms • Know MR/CT safety reasons and rules • Explain the advantages and disadvantages of MRI/CT • Understand an |
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/course-directory?id=285575 |
Last Updated | January 24, 2025 |
Assessment Regulations | Examination per registration: no repeat examination (Re-)registration: as often as necessary |
Assessment Details | Assessment format: continuous assessment • 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) • |
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 | Examination per registration: (Re-)registration: |
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> (Assessor) Linda Bühl Lauren Stephanie Waiman Chee Eleonora Croci Oliver Faude Paul Ritsche Arno Schmidt-Trucksäss Fabian Schwendinger |
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/course-directory?id=285613 |
Last Updated | January 23, 2025 |
Assessment Regulations | Examination per registration: no repeat examination (Re-)registration: as often as necessary |
Assessment Details | Assessment format: continuous assessment 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 | Reg: https://esp.hls.fhnw.ch (registration dates will be announced and published) Dereg.: before end calendar week 10 (spring) and 40 (autumn) via email to studierendenadministration.lifesciences@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 Auxilium -> "Mein Studium" |
Last Updated | April 06, 2024 |
Assessment Regulations | Examination per registration: Projektarbeit (Project Work) (Re-)registration: |
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 | Examination per registration: (Re-)registration: |
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 | Reg: https://esp.hls.fhnw.ch (registration dates will be announced and published) Dereg.: before end calendar week 10 (spring) and 40 (autumn) via email to studierendenadministration.lifesciences@fhnw.ch |
Workload | 25 ECTS (Thesis) + 5 ECTS (Defense) |
Course contents |
Learning Outcome and Competences |
Module | Master Thesis |
Language | English |
Bibliography (Mandatory / Optional) | |
Entry Requirements | |
Comments | - |
Further Details | FHNW Auxilium -> "Mein Studium" |
Last Updated | April 09, 2024 |
Assessment Regulations | Examination per registration: Projektarbeit (Project Work) (Re-)registration: |
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 | 25 ECTS (Thesis) + 5 ECTS (Defense) |
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 | Examination per registration: (Re-)registration: |
Assessment Details |