Medical Engineering & eHealth: Curriculum

Here you'll find detailed information on current courses of the Master's degree program Biomedical Engineering Sciences. Please note that due to ongoing updates not all courses of the program might be fully displayed.

 
Information about the double degree program in cooperation with the Brno University of Technology (BUT) in the Czech Republic:

1. Semester

Name ECTS
SWS
Applied Research & Development 1 (K1)
English / kMod
8.50
-
Project-Related Teamwork 1 (PRT1)
English / PRJ
6.00
2.00

Course description

- The students design, handle, and finish a relatively complex cooperative project as a team in the field of biomedical engineering - They produce well-formed project plans and documents, a scientific paper and a poster. They present and discuss their work

Methodology

Groups of students finish a joint project independently, under guidance from lecturers and with external cooperation They observe guidelines and principles of project management, and produce the necessary documents and project outcomes to reach the final goal of their project

Learning outcomes

After passing this course successfully students are able to ...

  • plan a project for a team (requirements analysis, project structure, milestones)
  • handle the project autonomously
  • work on tasks using the methods of science and to document the results
  • implement a project for an external project sponsor
  • [WIAM03] justify a research question after identifying the current state of the art with regard to scientific considerations, formulate the question comprehensibly and to define verifiable target criteria
  • [WIAM04] plan the phases of a scientic study, conduct it precisely, document it comprehensibly, and to ensure the comprehensibility, dependability, plausibility and transferability other problems areas and contexts

Course contents

  • Specific biomedical engineering knowledge, skills and methods necessary as required by the project
  • Problem analysis, developing concepts, evaluating problem solution approaches
  • Project management and documentation
  • Scientific working

Prerequisites

Basic engineering / medical knowledge and skills in agreement with the project supervisor

Literature

  • Templates
  • topic specific literature

Assessment methods

  • Repetitive project meetings with the responsible supervisor
  • Project documentation (Documentation)
  • 2 pages paper (Paper)
  • Final Presentation

Anmerkungen

The work in this project will go on in the oncoming semester in the course “Project Related Teamwork 2”

Team Management Skills (TMS)
English / SE
1.00
1.00

Course description

In the course the students get to know main principles of leading teams.

Learning outcomes

After passing this course successfully students are able to ...

  • explain the role of leadership in the different stages of team development (for example by Tuckman) and to derive relevant leading actions (for example directive leadership in the forming phase).
  • diagnose dynamics in project teams using models (for example Rank Dynamics, Drama Triangle, TZI) and to develop and argue case-related concrete opportunities for activities (for example delegation of responsibilty, critical discussion).

Course contents

  • Leadership functions and tasks
  • Leadership tools in project teams
  • Role conflicts "colleague" and "project leader"
  • Leading without formal power and competence
  • Overview of theories to group dynamics
  • Conflicts and difficult situations in leading project teams

Prerequisites

none

Literature

  • Berkun, S. (2005): The Art of Project Management, Sebastopol: O’Reilly Media
  • Cronenbroeck, W. (2008): Projektmanagement, Berlin: Cornelsen Verlag [bilingual book: in English and German]
  • Haeske, U. (2008): Teamentwicklung, Berlin: Cornelsen Verlag, [bilingual book: in English and German]

Assessment methods

  • Reflection paper

Anmerkungen

none

Workflows in Medicine (WFM)
English / SE
1.50
1.00

Course description

The course provides an overview on workflows in healthcare systems especially at healthcare providers. It introduces typical examples of workflows with an emphasis on distributed and shared workflows.

Methodology

Lectures, visits to healthcare provider sites, self guided research

Learning outcomes

After passing this course successfully students are able to ...

  • describe workflows in healthcare as requirements from a technical point of view
  • evaluate existing and design new workflows using relevant literature (e.g. standards, clinical guidelines, research publications, product documentation)
  • consider views of different stakeholders (doctors, care persons, other care providers, patients, administration, ...) in projects

Course contents

  • Discussion of example workflows (Admission and discharge between GPs, resident care organisations and hospitals, radiology and laboratory workflows, use and maintenance of medical devices, clinical paths, …)
  • elements ad methods for documenting workflows (goals, results, contributions, roles, use cases, …)
  • on site visits to healthcare providers

Prerequisites

none

Literature

  • 2013 ACCF/AHA Guideline for the Management of Heart Failure: A Report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines. Clyde W. Yancy, Mariell Jessup, Biykem Bozkurt, Javed Butler, Donald E. Casey, Jr, Mark H. Drazner, Gregg C. Fonarow, Stephen A. Geraci, Tamara Horwich, James L. Januzzi, Maryl R. Johnson, Edward K. Kasper, Wayne C. Levy, Frederick A. Masoudi, Patrick E. McBride, John J.V. McMurray, Judith E. Mitchell, Pamela N. Peterson, Barbara Riegel, Flora Sam, Lynne W. Stevenson, W.H. Wilson Tang, Emily J. Tsai and Bruce L. Wilkoff. Circulation, 2013;128:e240-e327; originally published online June 5, 2013
  • doi: 10.1161/CIR.0b013e31829e8776, online (24.10.2014) http://circ.ahajournals.org/content/128/16/e240
  • Connor, M. J. & Connor, M. J. Missing elements revisited: information engineering for managing quality of care for patients with diabetes. J Diabetes Sci Technol, iAbetics Inc., Menlo Park, California, USA., 2010, 4, 1276-1283
  • Shepherd, M.; Painter, F. R.; Dyro, J. F. & Baretich, M. F.: Identification of human errors during device-related accident investigations.IEEE_M_EMB, 23, 2004, 66-72.
  • IHE Laboratory Technical Framework, Volume 1 (www.ihe.net).
  • IHE Radiology Technical Framework Volume 1 (www.ihe.net).
  • see course materials

Assessment methods

  • 3-10 pages workflow paper
Economic & Legal Issues (K2)
English / kMod
5.50
-
Advanced English (AEN1)
English / SE
1.50
1.00

Course description

We aim at conveying the narrative and language-related criteria and methods required for writing documents, and for leading and participating in discussions on current issues and topics in the Biomedical Engineering profession.

Methodology

Seminar

Learning outcomes

After passing this course successfully students are able to ...

  • structure and write various types of documents using narrative and language-related criteria and methods;
  • lead a professional discussion in English, i.e. to apply appropriate language and techniques for effective formulation of questions, moderation, summarizing etc.

Course contents

  • Formal, narrative and language requirements for writing various types of documents
  • Language and techniques for leading a professional discussion
  • Choosing, researching, presenting and leading a discussion on an appropriate professional topic

Prerequisites

Common European Framework of Reference for Languages Level B2

Literature

  • Göschka, M. et al (2014) Guidelines for Scientific Writing
  • Harvard Business Review 20-Minute Manager Series: Running Meetings
  • Additional current handouts

Assessment methods

  • Active participation in class activities and timely completion of assignments
Corporate Management in Life Science Technologies (COM)
English / ILV
3.00
2.00

Course description

The course provides an overview of the analysis of investment projects and companies. Students will learn how to determine the cost of capital and how to manage financial risks.

Methodology

Lecture: DiscussionExamplesSeminar: Seminar paperDiscussionExamples

Learning outcomes

After passing this course successfully students are able to ...

  • analyse financial reports of companies according to managerial standards.
  • apply common financial ratios and interprete them.
  • calculate the cost of capital.
  • analyse investment projects.
  • determine the optimal capital structure of a company.
  • manage financial risks and know how to apply hedging instruments.

Course contents

  • Value oriented management
  • Capital budgeting (NPV, IRR, etc.)
  • Financial ratios
  • Financial ratio systems (DuPont, BSC)
  • Value oriented ratios (EVA, CVA, MVA)
  • Interpretation of financial ratios
  • Weighted Average Cost of Capital (WACC)
  • Company valuation
  • Capital structure decisions
  • Business Modeling
  • Introduction to forecasting
  • Statistical methods
  • Scenario analysis
  • Risk management
  • Business risk
  • FX and interest rate risk

Literature

  • Eugene F. Brigham, Michael C. Erhardt, Financial Management – Theory and Practice, 14th edition, 2014
  • Pablo Fernandez, Company Valuation Methods, 2014
  • Graham Friend, Stefan Zehle, Guide to Business Planning, The Economist Newspaper Ltd., 2014, ISBN 1 86197 474 4 (Kapitel 14 und 17)
  • Karl Knezourek, Folienskriptum zur Lehrveranstaltung, 2017 (wird vor Beginn der 1. LV elektronisch zur Verfügung gestellt)

Assessment methods

  • Seminar paper (30%)
  • Written exam (70%)

Anmerkungen

Classes start on time. Students are reminded to arrive on time. Students who arrive late for a lecture or leave early will receive 0% attendance for that class.

EU-Law (EUL)
English / VO
1.00
1.00

Course description

The European Union is since the accession of Austria on 1st of January 1995 one of the most important institutions for all citizens in the country. The influence is marked in all areas of the daily life: economics, social affairs, budget, research and development, legislature. That’s why it’s necessary to know, where the new rules come from, how they have been elaborated and in which tasks the European Union have, in this way we all can prepare us for the future. This course will give an overview over the institutions, their structure, their tasks and influence, but also give examples and exercises including their solutions. It will also introduce the different kind of rules of the EU, so the student can work at the end autonomously with European law.

Learning outcomes

After passing this course successfully students are able to ...

  • explain the institutions of the EU
  • identify types of cases (Failure to fulfil obligations, action for failure to act, action for annulment, procedure for preliminary ruling) and to provide suggestions for decisions of the court
  • select and apply appropriate legal instruments

Course contents

  • Directives have to be transposed into national law. The student must learn to deal with the legal system to know which law is valid for him. However, also other legal aspects are dealt: the student will elaborate the reasoning for a legal case to get a feeling what is legally allowed in the EU and will also draft a directive because of given issues.

Prerequisites

The course is elaborated for students with no knowledge about the European institutions and European law

Literature

  • Treaty of the Functioning of the European Union
  • Teaching material in the campus system

Assessment methods

  • Written final exam, which contains both theory questions and case exercises.
Elective Module 1 (K4)
English / kMod
8.00
-
Applications for Crowdsourced Healthcare (ACH)
English / ILV
4.00
2.00

Course description

This course gives a practical introduction into IHE Technical Frameworks (TF). We will start by examining the IHE landscape of technical frameworks (Focused on IT-Infrastructure TF). Tools are presented and applied, which are needed in order to fulfill requirements defined by the different IHE profiles. The single assignments will sum up to a project showing a real-world implementation of communicating/storing/accessing medical information in the growing field of eHealth.

Methodology

Short-Presentations (lecturer)Project work (in groups)

Learning outcomes

After passing this course successfully students are able to ...

  • plan and implement a basic Client – Server Architecture
  • analyse and implement IHE PCD Profile and the use of HL7 v2
  • analyse and implement IHE XDS Document Source
  • establish and integrate and CDA document within an XDS Environment
  • develop an ATNA client to send audit messages to an open source ATNA

Course contents

  • Continua Health Alliance Architecture for including medical device data in Electronic Health RecordsStandards/Basic Technologies:
  • HL7 v2, v3 (CDA)
  • Web Services: Http, Soap, WSDL
  • XML: XSD, XML-Parser, O/X - Mapper

Prerequisites

Fundamentals and Understanding of object-oriented programming (used OOP-language and IDE: Java, Eclipse)

Literature

  • Teaching materials in the campus system
  • IHE ITI-Technical Frameworks Vol 1-4
  • IHE DEC-Technical Frameworks Vol 1-2
  • Moodle links

Assessment methods

  • Continuous assessment
  • Project presentations and project report
Engineering for Therapy & Rehabilitation (ETR)
English / ILV
4.00
2.00

Course description

The course provides knowledge of different rehabilitation issues in different areas of application.

Methodology

Lectures and group discussions, Laboratory Course Rehabilitation Engineering, Workshops

Learning outcomes

After passing this course successfully students are able to ...

  • define rehabilitation
  • describe the roles of the different members of rehabilitation teams and the processes within the teams
  • explain rehabilitation within different medical fields
  • describe active and passive methods of rehabilitation and physical medicine
  • describe the role of biomedical engineers within rehabilitation teams
  • know the basics of prostethics and orthotics.

Course contents

  • Physical Medicine
  • Rehabilitation
  • Rehabilitation team
  • Telerehabilitation
  • Biofeedback
  • Orthopedics
  • Prosthetics
  • Orthotics
  • Gait Analysis
  • Reha@home

Prerequisites

- Physiology- Anatomy

Literature

  • See course material in the campus system

Assessment methods

  • Multiple Choice Moodle Exam, presentation
Medical Information Systems (MIS)
English / ILV
4.00
2.00

Course description

The course focuses on IHE Technical Frameworks (Used in ELGA) and touches Continua Healthy Alliance Guidelines for establishing standardized, interoperable and future proof medical information systems.

Methodology

Lectures, discussions and group work, self organised work on given topics

Learning outcomes

After passing this course successfully students are able to ...

  • use the basic terminologies of IHE
  • explain the processes of the IHE Connectathon and the requirements
  • describe the difference between all XDR, XDM and XDS and their interrelation
  • describe the IHE Cross-Community Profiles work (based on XCA, XCPD)
  • describe Identity Management in IHE (based on PIX, PDQ)
  • describe the basics of IT-Security according IHE Security Profiles (CT, ATNA, XUA, BPPC)
  • describe the Architecture and Security Requirements of ELGA

Course contents

  • IHE/HL7/IEEE/Continua terminologies
  • General understanding of IHE
  • Document Exchange Profiles
  • IT-Security Profiles
  • PHR/EHR Integration
  • Clinical Document Architecture

Prerequisites

- Basic programming skills - Basic concepts of healthcare

Literature

  • Teaching materials in the campus system
  • http://ihe.net/Technical_Frameworks/
  • http://www.continuaalliance.org/
  • http://elga.gv.at/
  • Moodle Links

Assessment methods

  • exercises in groups
  • Final Exam
Modelling in Cardiovascular Systems (MCVS)
English / ILV
4.00
2.00

Course description

This course provides basic knowledge of cardiovascular system dynamics, in particular focusing on the numerical modeling of cardiac pathophysiology and mechanical circulatory assistance.

Learning outcomes

After passing this course successfully students are able to ...

  • explain the basics of cardiovascular system dynamics
  • explain the basics of modeling of dynamical systems using analogies
  • solve (numerically) differential equations that model cardiovascular systems using Simulink
  • autonomously build numerical models of the cardiovascular system

Course contents

  • Selection from:
  • Introduction to blood flow hydrodynamics
  • Introduction to cardiac and vascular biomechanics
  • Introduction into compartmental models modeling through analogies
  • Modeling of cardiac mechanics
  • Modeling of vascular mechanics
  • Modeling of lung mechanics
  • Modeling of ventricular assist devices and cardiovascular interaction

Prerequisites

- Basic knowledge of Matlab and Simulink- Basic understanding of first and second order linear ordinary differential equations- Basics of cardiovascular anatomy and physiology

Literature

  • BOOKS (comprehensive references marked with *):
  • Guyton AC, Hall JE. (2006) Textbook of medical physiology. 11th ed. Elsevier Saunders. *
  • Milnor WR. (1989) Hemodynamics. 2nd ed. Williams & Wilkins.
  • Nichols WW, O’Rourke MF. (2005) McDonald’s blood flow in arteries. 5th ed. Hodder Arnold.
  • Sagawa K, Maughan L, Suga H, Sunagawa K. (1988) Cardiac Contraction and the Pressure-Volume Relationship. Oxford Univ. Press.
  • Scherf HE. Modellbildung und Simulation dynamischer Systeme (2007). 3. Auflage. Oldenburg Verlag. *
  • Werner J (2014) Biomedizinische Techink - Automatisierte Therapiesysteme. Band 9. De Gruyter. *
  • West JB. (2008) Respiratory physiology: the essentials. 8th ed. Lippincott Williams & Wilkins.
  • Zipes DP, Libby P, Bonow R, Braunwald E. (2004) Braunwald's Heart Disease: A Textbook of Cardiovascular Medicine. 7th ed. Saunders.PAPERS:
  • Carabello BA. Evolution of the study of left ventricular function: Everything old is new again. 2002 Circulation 105(23):2701-3.
  • Westerhof N, Lankhaar JW, Westerhof BE. The arterial Windkessel. Med Biol Eng Comput. 2009;47(2):131-41.ONLINE DOCUMENTS (very informative about the key concepts of cardiovascular dynamics):
  • Burkhoff D. 2002. Mechanical Properties Of The Heart And Its Interaction With The Vascular System. Columbia University, NY (www.columbia.edu/itc/hs/medical/heartsim/review.pdf)
  • Mark RG. 2004. CARDIOVASCULAR MECHANICS I, II, III. MASSACHUSETTS INSTITUTE OF TECHNOLOGY (http://ocw.mit.edu/courses/health-sciences-and-technology/hst-542j-quantitative-physiology-organ-transport-systems-spring-2004/readings/cardio_mech.pdf)

Assessment methods

  • Intermediate assignments requiring a written report of the student work
  • Final written exam
Engineering in Medicine (K3)
English / kMod
8.00
-
Cellular Electrophysiology and Bioimpedance (CEBI)
English / ILV
4.00
2.00

Course description

Electric behaviour of cells and tissues under the influence of electromagnetic fields and their possible application in medicine.

Methodology

Lecture

Learning outcomes

After passing this course successfully students are able to ...

  • explain the electric behaviour of cells and tissues under the influence of electromagnetic fields
  • explain applications of electrophysiology and bioimpedance in medicine on examples
  • point out potentials for innovation using electrophysiology and bioimpedance methodology

Course contents

  • Electrolytes
  • Dielectrics
  • Electrical properties of molecules & tissues
  • Instrumentation and measurement, data
  • Models and some selected applications

Prerequisites

Basics of:- Physics/Chemistry- Electronic- Cellular physiology

Literature

  • S. GRIMNES / O.G. Marinsen, Bioimpedance and Bioelectricity Basics, Academic Press 2000 ISBN: 0-12-3003260-1
  • P.J. RITT et al (eds.) Electrical Bioimpedance methodes: Application to Medicine and Biotechnology, Annals of the N.Y. Academy of Siences, Volume 873, 1999,ISBN: 1-57331-190-1

Assessment methods

  • written final exam
Microprocessor Applications in Medicine (MAM)
English / ILV
4.00
2.00

Course description

This course focuses on pratical application of microcontroller basics and programming techniques in a biomedical engineering context. The utilisation of microcontroller peripheral units via the C programming language and the design of the OpenEEG amplifier will be shown and the firmware to measure bioelectric signals using a microcontroller and this data to a PC will be programmed in small groups. A basic mode (using 8-bit microcontrollers) is offered with indeep teaching of the basics - alternatively, the "advanced mode" is offered where students implement projects autonomously using a 32-bit microcontroller.

Methodology

Lecture slides Practical exercises Programming tasks Project works

Learning outcomes

After passing this course successfully students are able to ...

  • choose a suitable microcontroller for specific project requirements
  • utilize peripheral units like GPIO, UART and ADC
  • implement register-based programs in C programming language
  • explain SW- and HW-components of an EEG acquisition device

Course contents

  • AVR (resp. TI ARM Cortex-M4) microcontrollers, peripheral units (GPIO, ADC, UART), Interrupts
  • C-programming using GCC, AVRStudio, resp. Code Composer Studio
  • Embedded biomedical devices, sensors and actuators, implants

Prerequisites

- C-Programmierung

Literature

  • Richard H. Barnett, Sarah Cox, Larry O'Cull:Embedded C Programming and the Atmel AVR Paperback – June 5, 20062nd edition, ISBN-13: 978-1418039592 ISBN-10: 1418039594

Assessment methods

  • Programming tasks
  • Theroretical test
  • group projects

2. Semester

Name ECTS
SWS
Applied Research & Development 2 (K6)
English / kMod
7.00
-
Project Management and Leadership Skills (PMLS)
English / SE
1.00
1.00

Course description

This course provides an overview of both the latest practical and the current theoretical leadership theories. One of the course’s fundamental components will be the reflection of own behaviour regarding particular issues concerning leadership in project management.

Methodology

Theory inputTeamworkRole play

Learning outcomes

After passing this course successfully students are able to ...

  • identify and to explain tasks and instruments of leadership (for example delegation, agreement on objectives).
  • explain classical management models (for example leading continuum, Maturity Model) and to apply to practical examples.
  • describe different assumptions about human nature (for example McGregor) and to derive the consequences for the leading of co-workers.

Course contents

  • Leadership styles and instruments (for example staff appraisal)
  • Motivation, promotion and development of employees
  • Leadership functions versus professional tasks
  • Consequence of “not leading”
  • Role of the leader in a change process
  • Dealing with crises, success and failures

Prerequisites

Team Management Skills

Literature

  • Daft, R. (2008): New Era of Management, Mason/Ohio:Thomson
  • Pettinger, R. (2007): Introduction to Management, Houndmills/Hampshire: Palgrave Macmillan
  • Schermerhorn, J. (2008): Management, Hoboken/New Jersey: John Wiley

Assessment methods

  • An individual reflection paper about the leadership issues encountered in the semester and how the knowledge about leadership was applied.

Anmerkungen

This course may reflect team experiences from elsewhere, e.g from the Project Related Teamwork course.

Project Related Teamwork 2 (PA2)
English / PRJ
6.00
2.00

Course description

- The students finalise their one-year project together with the external project sponsors- The results will be presented and documented

Learning outcomes

After passing this course successfully students are able to ...

  • plan and manage a project for a team
  • handle the project autonomously
  • agitate and solve a scientific task and to document the results
  • implement a project for an external project sponsor
  • [WIAM04] plan the phases of a scientic study, conduct it precisely, document it comprehensibly, and to ensure the comprehensibility, dependability, plausibility and transferability other problems areas and contexts

Course contents

  • Knowledge, skills and methods necessary for the specific project
  • Problem analysis, developing concepts, evaluating problem solution approaches
  • Project management and documentation
  • Scientific working

Prerequisites

This course further elaborates the project activities from the first semester course Project Related Teamwork 1

Literature

  • Templates
  • topic specific literature

Assessment methods

  • Repetitive project meetings with the responsible supervisor
  • Project documentation (Documentation)*
  • 2 pages paper (Paper)*
  • Final presentation
  • Scientific poster*The documents of the first semester are to be used as basis and to be adapted
Elective Module 2 (K9)
English / kMod
8.00
-
Advanced Optics (AO)
English / ILV
4.00
2.00

Course description

Optics in medicine

Methodology

The course is splitted into theoretical and practical part. Pratical part will be hold in cooperation with renowned partners from medicine and industry.

Learning outcomes

After passing this course successfully students are able to ...

  • perform basic calculations with Maxwell equations (Derivation of wave equation, continuum equation and plane waves as solution of wave equation, Snells law, Fresnel equations and Brewsters law)
  • define basic properties and interactions of electromagnetic waves (polarization)
  • analyse simple optical systems based on thin element approximation (thin lenses, image generation with lenses, thick lenses, optical FFT)
  • define optical aberrations
  • explain setup and functionality of lasers
  • explain most important interactions of light and tissue
  • list and explain important applications in medical engineering (electron microscopy, phase contrast microscopy, SNOM, optical measurement of blood sugar, OCT, endoscopy, optical tweezers, laser surgery)
  • draw the basic components of the human eye and list typical methods to correct ametropia
  • depict basic principles of OCT and explain the functionality of different data acquisition systems in OCT

Course contents

  • Introduction, overview on trends in modern optics of recent years (lasers, metameterials, diffractive optics)
  • mathematical basics, Maxwell equations, Followings of Maxwell equations, derivation of wave equation, deviation of continuum equation, deviation of plane waves as solutions of wave equation, Snells law, Fresnel equations, Brewsters law
  • basic properties and interactions of electomagneticl waves (polarization)
  • thin element approximation (thin lenses, image generation with lenses, thick lenses, optical FFT
  • optical aberrations (spherical aberration, chromatical aberration, astigmatism, coma, distortions)
  • setup and functionality of lasers
  • most important interactions of light and tissue
  • Important optical applications in medical engineering (electron microscopy, phase contrast microscopy, SNOM, optical measurement of blood sugar, OCT, endoscopy, optical tweezers, laser surgery)
  • basic setup of the human eye and correction methods of ametropia
  • basic principles of OCT and functionality of different data acquisition systems in OCT

Prerequisites

- Vector analysis- vector fields- Ordinary differential equations

Literature

  • MAX BORN & EMIL WOLF (1991) Principles of Optics, PERGAMON PRESS
  • MILES V. KLEIN & THOMAS E. FURTAK (1986) Optics, WILEY & SONS
  • EUGENE HECHT (1988) Optics, ADDISON-WESELY
  • BERGMANN SCHÄFER, Editor: HEINZ NIEDRIG (1993) Lehrbuch der Experimentalphysik, OPTIK, Part 3, 9th. edition
  • THE VIRTUAL JOURNAL FOR BIOMEDICAL OPTICS
  • PHYSICS IN MEDICINE AND BIOLOGY

Assessment methods

  • written exam
Artificial Intelligence (AI)
English / ILV
4.00
2.00

Course description

This Lecture builds up knowledge about the algorithms and the basics of artificial intelligence (AI) and soft computing

Methodology

TheoryExamplesExcercises

Learning outcomes

After passing this course successfully students are able to ...

  • describe agents and environments. - name the concept of rational behavior. - destinguish between different problem environments. - distinguish between agent structures.
  • name problem-solving agents - design a kind of goal-based agent - distinguish between problem types - do a graph search with partial information - find a defined problem formulation - name the basic search algorithms including: - uninformed search strategies - constraint satisfactory search
  • informed search strategies
  • define the first heuristic functions for the informed search
  • know, how to apply simulated annealing techniques - know how to apply evolutionary algorithms

Course contents

  • Basic algorithms of artificial Intelligence
  • Agents
  • Problem Solving strategies
  • Informed Search
  • Constrain Satisfactory Problems
  • Games

Prerequisites

- C/C++/C# are essential ! - Algorithms (Sedgewick)

Literature

  • Künstliche IntelligenzAutor: Stuart Russell / Peter NorvigSeiten: 1312 ISBN: 978-3-8689-4098-5 https://www.amazon.de/Artificial-Intelligence-Modern-Approach-Global/dp/1292153962/ref=pd_lpo_sbs_14_img_0?_encoding=UTF8&psc=1&refRID=1WA7RHABEMAZ07M38C26

Assessment methods

  • Homework (20% moodle) and project (80%)

Anmerkungen

Good programming skills are essential to pass this course. Please visit the warmup Programming course if needed!

Bioinformatics (BI)
English / ILV
4.00
2.00
Electromagnetic Compatibility (EMC)
English / ILV
4.00
2.00

Course description

The course is subdivided in two parts:- Part 1 covers physical fundamentals of Electromagnetic Compatibility (EMC) related to electrical appliances including regulatory basics for product conformity- Part 2 focuses on effects of electromagnetic fields (EMF) on the human body, including regulatory basics for limiting personal exposure against EMFs, as well as electromagnetic influences on implants

Methodology

Lessons and practical homework (1 assignment, chosen from several proposals)The course will be held in 10 units (6:35 - 9:00 p.m. each)One of these units will be held as an excursion to the EMC labs in Seibersdorf (approx. 35 km southeast of Vienna)For a detailed schedule of the units, please see semester planDetails about the excursion will be negotiated in the course between lecturer and students

Learning outcomes

After passing this course successfully students are able to ...

  • identify potential problems of electromagnetic compatibility during product development
  • apply the fundamental EMC design rules in practice
  • name the most important directives, standards and guidelines relevant for EMC comformity assessment of medical equipment and use them to assess the properties of a device in view of the underlying legal requirements
  • estimate the relevance of exposure situations in practice
  • name the technical possibilities of exposure assessment, their advantages and drawbacks and their limitations
  • identify potentially harzardous situations regarding electromagnetic interference with electronic implants in practice
  • name the most important directives, standards and guidelines relevant for limiting personal exposure against electromagnetic fields

Course contents

  • Part 1 (Lamedschwandner):
  • Introduction to Electromagnetic Compatibility (EMC)
  • EMC conformity assessment
  • European Union directives and CE marking of products
  • The EMC directive
  • EMC standards
  • EMC test methods
  • Functional safety and EMC
  • Development of electrical appliances with respect to EMC
  • Design basics
  • Printed circuit board design
  • Cabling, grounding and shielded cables
  • EMC filters, ferrites and box shielding
  • Economic EMC design principle
  • Part 2 (Schmid):
  • Biophysical basics
  • Effects of electromagnetic fields on the human body
  • Excitation of cells by induced currents (low frequency fields)
  • Tissue heating by power absorption (radio frequency and microwave fields)
  • Other reported, but not yet established effects
  • Safety limits and regulatory basics
  • Exposure assessment methods
  • Electromagnetic interference with implants
  • Malfunction of electronic implants
  • Concentration of currents by metallic implants
  • Movement of ferromagnetic implants in strong magnetic fields

Prerequisites

Fundamentals of electrical engineering

Literature

  • Lamedschwandner K. EMC for MBE – Part 1, Chapter 1-3. Presentation Slides. Available in download section of the course
  • Paul CR. 2006. Introduction to Electromagnetic Compatibility, 2nd Edition, Wiley, New York, ISBN: 978-0-471-75500-5
  • Schmid G. EMC for MBE. Part 2, EMF Safety. Presentation Slides. Available in download section of the course

Assessment methods

  • Solution and Presentation of homework (50%)
  • Written exam (50%)
Quality and Policies for Healthcare (I8)
English / iMod
8.00
-
Quality and Regulatory Affairs Management (QRAM)
English / ILV
4.00
2.00
eHealth Applications (EH)
English / ILV
4.00
2.00
Scientific Methodology in Healthcare (K7)
English / kMod
7.00
-
English Writing Skills (EWS)
English / SE
1.50
1.00

Course description

The students acquire skills required for their master’s studies such as the language and techniques for a successful technical project presentation in English, as well as for participation in current discussions of new forms of economy and business in a global professional context

Methodology

Seminar

Learning outcomes

After passing this course successfully students are able to ...

  • present and defend technical projects and papers such as their master’s thesis in English before an exam committee;
  • convey information, initiate and participate in discussions on emerging economic and corporate forms such as “The Economy for the Common Good”; Benefit Corporations/B-Corporations; Social Entrepreneurship Projects etc. in the students’ global professional context

Course contents

  • Structure of a technical project presentation
  • Presentation techniques and relevant language
  • Presentation of a recent or current technical project
  • Team presentation/discussion on the theory and practice of one of the following topic areas: “The Economy for the Common Good”; Benefit Corporations/B-Corporations; Social Entrepreneurship Projects etc., in relation to your professional context

Prerequisites

Completion of previous semester course

Literature

  • Shooman, D. / (2015): Abstract and Presentation Guidelines, Skriptum
  • Additional current handouts

Assessment methods

  • active participation in class activities and timely completion of assignments
Ethics (E)
English / VO
1.00
1.00

Course description

The course imparts basic knowledge of ethics in medicine to the students. The focus is on raising the awareness of the relevance of ethical questions in engineering and medicine and their ethical impacts on society and the training of ethical decision-making and argumentation.

Methodology

Seminar: Theory InputsCase StudiesGroup workEthical arguingDiscussions

Learning outcomes

After passing this course successfully students are able to ...

  • outline selected basic terms and principles of medical ethics (for example moral status, allocation ethics, concepts of health and disease/disabilities) by the means of simple examples.
  • apply ethical standards to latest research developments in selected actual case studies in medicine and engineering.
  • describe the steps of ethical decision-making and argumentation and to apply them in selected case studies for ethical assessment of conflicting issues in the field of research and medicine.

Course contents

  • Fundamental positions of ethical decision-making and argumentation
  • Experiments with human subjects and animals
  • Ethics issues of resource allocation
  • Ethical concepts to health-disease/illness-disabilities
  • Intercultural ethical aspects of medicine and engineering
  • Medical information systems (eHealth, data security, privacy, confidentiality)

Literature

  • Literature at the beginning of the course

Assessment methods

  • Course with an immanent character (grade):
  • Introduction into a chosen topic by the student
  • Hand out
  • The student is leading a discourse about the chosen in the group
Scientific Publishing (SP)
English / SE
1.50
1.00
Study Design and Biostatistics (SDBS)
English / SE
3.00
2.00

Course description

A collection of mathmatical methods in the field of non-parametric statistics are presented. These can be used for planning experiments. Obtaining , organizing, summarizing presenting and analysing this data will be followed up by interpreting it and drawing conclusions based on this data sets.

Methodology

Lecture & Examples

Learning outcomes

After passing this course successfully students are able to ...

  • justify a research question in the field of non-parametric statistics after identifying the current state of the art with regard to scientific considerations, formulate the question comprehensibly and to define verifiable target criteria
  • plan the phases of a scientic study, conduct it precisely, document it comprehensibly, and to ensure the comprehensibility, dependability, plausibility and transferability to other problems areas and contexts
  • [WIAM05] chose and apply relevant methods for the research question and compose the structure, a proposal and the Master thesis, especially engineering modelling, development and test methods, experimental research methods, empirical methods of data collection
  • relate research questions and results to a medical environment

Course contents

  • Testing methods for frequencies
  • Testing methods for rank-data
  • Tesing methods for cardinal data
  • Relationship metrics and their tests
  • Agreement metric

Prerequisites

The only mathematical prerequisite needed for the material found in the outline is arithmetic and some basic algebra.

Literature

  • Elementary Statistics, Mario F. TriolaPublication Date: January 6, 2011 | ISBN-10: 0321694503 | ISBN-13: 978-0321694508 | Edition: 11
  • Nonparametric Statistics for Health Care Research Statistics for Small Samples and Unusual Distributions Second Edition ISBN 978 - 1 - 4522 - 8196 - 4 (pbk.: alk. paper) Medicine — Statistical methods. Nonparametric statistics.

Assessment methods

  • Written exam 80% (but positive)
  • Moolde exercises 20% (but positive)

3. Semester

Name ECTS
SWS
Advanced Clinical and Data Engineering (K12)
English / kMod
8.00
-
Advanced Analysis of Medical Data (AAMD)
English / ILV
4.00
2.00
Clinical Engineering (CE)
English / ILV
4.00
2.00

Course description

This lecture gives an overview on the wide field of medical equipment installed and used in hospitals, the special focus is laid upon - how is the equipment used- what is required for its proper installation and application.

Methodology

Presentations, Excursions,

Learning outcomes

After passing this course successfully students are able to ...

  • explain the function and application of the most important medical equipment
  • explain the key parameters for a technical evaluation of the most important medical equipment
  • explain the pre-installation - requirements of the most important medical equipment for a functional and proper installation of the equipment
  • explain the processes of hospital planning using examples

Course contents

  • Project Phases in Hospital Project
  • Basics of functional Hospital Planning (Zoning, Layout)
  • special requirements for electrical installations in a hospital (UPS, line impedance, ...)
  • Medical Equipment from A to Z

Prerequisites

Basics of Anatomy, Physiology, Physics, Electrical engineering and Mechanics

Literature

  • See material in the campus system

Assessment methods

  • Multiple choice exam (Computer) at the end of the semester
Elective Module 3 (K13)
English / kMod
8.00
-
Applied Optics in Medical Devices (AOMD)
English / ILV
4.00
2.00

Course description

Basics of applied optics for medical devices

Methodology

Presentation of contentSolution of ExamplesExcursion

Learning outcomes

After passing this course successfully students are able to ...

  • analyze paraxial optical systems based on matrix method (incl. Matlab and comparison with Zemax performed analysis)
  • explain different methods of electromagnetic wave propagation (thin element approximation, local plane interface approximation, plane wave decomposition, local plane wave approximation)
  • explain basic properties of human eye (Cornea, iris, lens, anterior and posterior chamber, retina)
  • explain the general interactions of electromagnetic waves with materials (refraction, diffraction, reflection, absorption, scattering, Plasmon-polaritons, surface plasmons, extinction)
  • Explaining of optical aberrations with Zernike polynomials and measuring them within the mechanical eye model.

Course contents

  • see learning outcomes

Prerequisites

Advanced optics course

Assessment methods

  • Lab protocol and final exam
Biosignal Processing (BSP)
English / ILV
4.00
2.00
Image Analysis (IA)
English / ILV
4.00
2.00

Course description

Methods for Image processing for medical image technologies, e.g. CT, PET

Learning outcomes

After passing this course successfully students are able to ...

  • list and explain the usage of file formats
  • perform simple operations of image processing in intensity, image and spatial space
  • visualize and render image data for display
  • describe the basics of the fusion of multimodal image data

Course contents

  • Image representation, file formats, and simple operations
  • Operations in intensity space
  • Filters and image transforms
  • Spatial Transformations
  • Registration
  • Visualization and Rendering

Literature

  • See course material in the campus system

Assessment methods

  • Course immanent assessment method and end exam
Respiration Technologies (RT)
English / ILV
4.00
2.00
Exploring the Health Ecosystems (K11)
English / kMod
4.00
-
Economics and Marketing (EAM)
English / SE
3.00
2.00

Course description

The objective of this class is to provide an understanding how healthcare markets work and how market participants behave there. Students will learn how companies can use marketing tools to successfully conduct analyses, develop strategies and place products in the healthcare market.

Methodology

Lectures with Powerpoint charts, discussions and case studies of marketing- and businessplanning. In addition students will prepare a marketing plan for a new product.

Learning outcomes

After passing this course successfully students are able to ...

  • explain the economic behavior of supply and demand on markets
  • describe and evaluate the various types of markets
  • explain and evaluate various marketing strategies, particularly in connection with the product life cycle
  • evaluate the instruments of the “Marketing Mix” to achieve specific marketing goals
  • develop an understanding of the medical market processes
  • prepare a marketing plan for a health care product

Course contents

  • Healthcare markets, essential elements of microeconomic theory (Demand and supply, market types based on competition etc.), basics of healthcare marketing (Mix of marketing tools, strategies, marketing plan, sales call)

Literature

  • Walter J. Wessels – Economics, Barrons 2012, 5th Edition, ISBN 13: 978-0764147609Recommended for Marketing:
  • Philip Kotler, Kevin Lane Keller, Friedhelm Bliemel - Marketing Management
  • Fred Harms, Dorothee Gänshirt - Gesundheitsmarketing
  • Nils Bickhoff, Svend Hollensen, Marc Opresnik - The Quintessence of Marketing

Assessment methods

  • Marketing Plan, oral exam

Anmerkungen

This class will partly be conducted for both students of MTE and MBE in the 3rd semester.

Selected Problems in Medical Engineering & eHealth (SPME)
English / VO
1.00
1.00
Methods of Scientific Research (I10)
English / iMod
10.00
-
Research and Development Seminar (RDS)
English / SE
10.00
1.00

4. Semester

Name ECTS
SWS
Masters Thesis (K14)
English / kMod
30.00
-
Seminar for Degree Candidates 2 (SDC2)
English / SE
2.00
1.00

Course description

The course will help groups of students to prepare their masters thesis by providing a platform for exchange and feedback.

Methodology

Students will present and discuss their diploma theses in small groups under the guidance of a lecturerThe groups will provide feedback on the content and on the presentation

Learning outcomes

After passing this course successfully students are able to ...

  • Practical experience in presentations of own work and science writingProviding constructive feedback on the work of others
  • [WIAM06] relate research results to industry, society, the economy or the environment

Anmerkungen

Use this course to polish your presentation for the final panel exam.

Writing the Master´s Thesis (MT)
English / SO
28.00
1.00