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Module Handbook M.Sc. Biomedical Engineering Medical Faculty Mannheim Heidelberg University

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Page 1: M.Sc. Biomedical Engineering Medical Faculty Mannheim › md › studium › interesse › ... · This programme focuses on biomedical research and has a strong bias towards computational

Module Handbook

M.Sc. Biomedical Engineering

Medical Faculty Mannheim

Heidelberg University

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General Information

Latest revision: December 2015

Module description for full time study.

Regular study duration: 2 years

1 ECTS1 is equivalent to 30 study hours.

Module catalogue

1. Qualification objectives at Heidelberg University

2. General requirements of the study

3. Aims of the MSc. programme in Biomedical Engineering

4. Specializations included in the programme

5. Curriculum

6. Overview of the courses

7. Courses in detail

1. Qualification objectives at Heidelberg University

In accordance with its mission statement and constitution, Heidelberg University’s degree courses have subject-related, transdisciplinary and occupational objectives. They aim to provide a comprehensive academic education equipping graduates for the world of work. The main points of the competence profile are the following: • developing subject-related skills with a pronounced research orientation • developing the ability to engage in transdisciplinary dialogue • developing practice-related problem-solving skills • developing personal and social skills • promoting the willingness to assume social responsibility on the basis of the skills

acquired

1 European Credit Transfer System

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2. General requirements of the study

Students Profile

The Master programme in Biomedical Engineering (MSc: Master of Science) is an

interdisciplinary course open for candidates with undergraduate or higher education in:

Physics (BSc2 or higher)

Engineering (with basic knowledge in physics)

Mathematics

This programme focuses on biomedical research and has a strong bias towards

computational science. This reflects the ever-increasing demand for IT competence in this

field, in conjunction with knowledge of biomedical devices and their usage. Graduates from

this program are well-prepared for positions in hospitals, academia and industry.

Courses Locations

The master courses are located mostly at Mannheim Medical Campus. However some

courses are located at Heidelberg University Campus in Heidelberg and the Institute of

Molecular Biology in Mainz.

Course Material

The learning material of all courses is accessible at the learning platform Moodle of the

Medical Faculty Mannheim. The access to the platform is enabled for the students enrolled in

the MSc. programme. Over this platform all administrative documents for students are

managed as well, including the lecture schedule, the rules and regulations, the course

selection and registration, the grades reports, etc.

moodle.medma.uni-heidelberg.de

2 Bachelor of Science

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Master Thesis

The Master in Biomedical Engineering programme is nationally and internationally connected

to leading institutions in research and education for radiotherapy and medical imaging.

The master thesis can be done in any of the internal research groups in the University

Medical Center Mannheim or by any of the cooperation partners in a topic related with

biomedical engineering. The option to perform the master thesis in other external institution

is possible provided that all the requirements stipulated by the Academic Committee are

fulfilled. More information about this topic is found in the guideline available in Moodle.

3. Aims of the MSc. Programme in Biomedical Engineering

The program aims at enabling students to work and/or carry out independent research in the

field of biomedical engineering, notably those aspects related to computer science and

medical physics.

After completing this course, students will have

acquired basic knowledge of anatomy, physiology, genetics

acquired basic knowledge of biophysics and engineering mathematics (numerically

oriented), including programming

found out how to use computational concepts in life sciences related to image

analysis, scientific visualization, inverse problems and simulation systems

acquired detailed knowledge of radiotherapy, nuclear medicine, medical imaging

performed a scientific (life-science related) project

successfully tackled technical issues related to Biomedical Engineering

acquired expert competence in the critical assessment of technical systems in

medicine

Graduates career prospects are best in health-care/life-science sectors, research

organizations and the medical technology industry (producers of biomedical

instruments/imaging systems, health-care-oriented software companies, the pharmaceutical

industry, etc.).

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Joint Degree with Shanghai Jiao Tong University, China

The MSc. in Biomedical Engineering offers to students the possibility of a double degree

through the exchange program with Shanghai Jiao Tong University in China. The contents of

the programme cover all aspects of the innovative field of computational bio-photonics, i.e. all

aspects of the diagnostic and therapeutic use of photons in medicine supported by advanced

computing.

The students, who decided to participate in the joint degree, should stay in Mannheim during

the first year of studies. The second year gives two options:

Option 1 is to carry out the 3rd and 4th semester (elective taught modules or Master

thesis, respectively) in Shanghai.

Option 2 is to only perform the 3rd semester (elective taught modules) in Shanghai

and complete the Master Thesis in Mannheim/Heidelberg.

To receive a joint degree diploma, students have to be at least half a year in any of both

institutions.

4. Specializations included in the program

1. Radiotherapy

The specialization in Radiotherapy is focused on basic and advanced knowledge

related to planning and treatment methods (3D, IMRT, VMAT, IORT, IGRT) of cancer

in radiation therapy, to radiotherapy equipment (linear accelerators, computed

tomography, intraoperative system), to give basic insight for clinical tasks as well as

for advanced research work.

2. Imaging

Imaging specialization is focused on oncological radiotherapy treatment planning and

monitoring by using physiological and functional imaging of CT, MRI and PET. The

courses are oriented to provide the student with the fundamental knowledge in

processing, analysis and quantification of medical images. Special attention is laid on

the interdisciplinary approach to radiotherapeutic cancer treatment.

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3. Computational Medical Physics

Computational medical physics is focused on the fields of mathematics, computer

engineering, computer science, and physics. The aim of the advanced modules in

this specialization is the knowledge in modern computational physics with application

in life sciences. The courses are focused on inverse problems for image

reconstruction, restoration, analysis, simulation, modeling and instrumentation.

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4 Curriculum

General Timetable:

1

st Semester 2

nd Semester 3

rd Semester 4

th Semester

Taught Courses/ Workshops:

- Basic courses

- Mandatory courses

- Elective courses

- Workshops (min. 30 ECT)

Taught Courses/ Labs/ Seminars:

- Lab rotations

- Seminars

- Lectures + Exercises

(min. 30 ECT)

Taught Courses/ Labs/ Seminars:

- Specialized Lab Project

- General Science Skills

- Elective Courses

- Workshops (min. 30 ECT)

Master Thesis

(30 ECT)

Specializations:

- Radiotherapy

- Imaging

- Computational Medical Physics

Specializations:

- Radiotherapy

- Imaging

- Computational Medical

Physics

Specializations:

- Radiotherapy

- Imaging

- Computational

Medical Physics

Specializations:

- Neurosciences

- Imaging/

Biomedical Optics

- Computer

Engineering

Specializations:

- Radiotherapy

- Imaging

- Computational

Medical Physics

Specializations:

- Neurosciences

- Imaging/

Biomedical Optics

- Computer

Engineering

Venue:

Heidelberg University, Germany

Venue:

Heidelberg University, Germany

Venue:

Heidelberg

University, Germany

Venue:

Shanghai Jiao Tong

University, Shanghai,

China

Venue:

Heidelberg

University, Germany

Venue:

Shanghai Jiao Tong

University, Shanghai,

China

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Courses Overview:

Radiotherapy Imaging Computational Medical Physics

1st Semester Winter Term (Mannheim/ Heidelberg)

Basic course (7.5 ECTS) Module 1

1.1 Biophysics (1.0) 1.2 Engineering Mathematics (3.5) 1.3 Genetics (1.0) 1.4 Basic Medical Science (2.0)

Advanced courses (4.0 ECTS) Module 2

2.1 Radiation Protection (1) 2.2 Radiation Physics and Instrumentation (3)

Module 3

Mandatory courses (13.5 ECTS) Mandatory courses (9.5 ECTS) Mandatory courses (6.5 ECTS)

3.1 Physics of Imaging Systems (2.0) 3.2 Radiotherapy Treatment Planning Dosimetry/Quality Assurance (4.5) 3.3 Special Radiotherapy Techniques (3.0) 3.4 Image Guided Radiotherapy (1.0) 3.5 Radiobiology (1.0) 3.10 Basic Optics (2.0)

3.1 Physics of Imaging Systems (2.0) 3.7 Diagnostic Radiology (1.5) 3.8 Nuclear Medicine (2.0) 3.10 Basic Optics (2.0) 3.14 Biomedical Engineering (2.0)

3.1 Physics of Imaging Systems (2.0) 3.6 Image Analysis (4.5) 3.10 Basic Optics (2.0)

Module 4

Elective courses (4.5 ECTS)* Elective courses (5.0 ECTS)* Elective courses (6.0 ECTS)*

3.6 Image Analysis (4.5) 3.7 Diagnostic Radiology (1.5) 3.8 Nuclear Medicine (2.0) 3.9 Biomedical Optics (1.0)

3.14 Biomedical Engineering (2.0)

3.1a Medical Devices and Imaging Systems (4.0) 3.1b MRT Basics (2.0) 3.1c X-Ray Diagnostics and Sonography (2.0) 3.2 Radiotherapy Treatment Planning Dosimetry/ Quality Assurance (4.5) 3.3 Special Radiotherapy Techniques (3.0) 3.4 Image Guided Radiotherapy (1.0) 3.5 Radiobiology (1.0) 3.6 Image Analysis (4.5) 3.9 Biomedical Optics (1.0) 3.29 Seminar MR Methods and Technology (2.0)

3.2 Radiotherapy Treatment Planning Dosimetry/Quality Assurance (4.5) 3.3 Special Radiotherapy Techniques (3.0) 3.4 Image Guided Radiotherapy (1.0) 3.5 Radiobiology (1.0) 3.7 Diagnostic Radiology (1.5) 3.8 Nuclear Medicine (2.0) 3.9 Biomedical Optics (1.0) 3.10 Basic Optics (2.0) 3.13 Novel Diagnostic Methods in Ophthalmology (1.0) 3.14 Biomedical Engineering (2.0)

Module 5

Workshops (4.0 ECTS)* Workshops (5.0 ECTS)* Workshops (6.0 ECTS)*

4.1 Basic Cellular Biology/Radiobiology (1.0) 4.10 Eye Clinics (1.0) 4.2 MR-Radiology (1)4.9Adaptive Optics Lab (1.0) 4.11 Nanoscopy Lab (2.0) 4.3 Radiation Protection and Quality Assurance (1.0) 4.12 Matlab Programming Exercise (4.0)

4.4 Diagnostic Radiology/Image Management (1.0) 4.13 C++ Introductory Course (4.0) 7.0 Shanghai Workshop (1.0)

*number of ECTS are maximum allowed values. All courses which are in each respective specialization not listed as mandatory courses can be chosen as elective courses.

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Radiotherapy Imaging Computational Medical Physics

2sd

Semester Summer Term (Mannheim/ Heidelberg)

Module 6

Mandatory courses (24.0 ECTS) Mandatory courses (24.0 ECTS) Mandatory courses (28.0 ECTS)

3.20 Radiation Therapy Lab: Quality Assurance & Treatment Planning (8.0) 3.21 Imaging Lab: MR Technology (8.0) 3.22 Nuclear Medicine Lab: PET Experiments & Data Analysis (8.0)

3.16 Scientific Programming in Physics and Engineering + Exercises (4.0) 3.18 Volume Visualization + Exercises (8.0) 3.19 Inverse Problems + Exercises (8.0) 3.24 Computational Medical Physics Lab (8.0)

Module7

Elective courses (6.0-8.0 ECTS)* Elective courses (6.0-8.0 ECTS)* Elective courses (8.0 ECTS)*

3.1a Medical Devices and Imaging Systems (4.0) 3.1b MRT Basics (2.0) 3.1c X-Ray Diagnostics and Sonography (2.0)

3.15 Computational Medical Physics and Bioinformatics (1.0) 3.17 Simulators in Games and Medicine + Exercises (8.0) 3.20 Radiation Therapy Lab: QA & Treatment Planning (8.0) 3.21 Imaging Lab: MR Technology (8.0) 3.22 Nuclear Medicine Lab: PET Experiments & Data Analysis (8.0) 3.25 Radiobiology Lab: Cell Biology & Modelling (8.0) 3.26 Seminar Radiation Therapy (2.0) 3.27 Seminar Nuclear Medicine (2.0) 3.28 Seminar Radiobiology (2.0) 3.29 Seminar MR Methods and Technology (2.0) 3.31 Seminar Computational Medical Physics (2.0)

3.15 Computational Medical Physics and Bioinformatics (1.0) 3.16 Scientific Programming in Physics and Engineering + Exercises (4.0) 3.17 Simulators in Games and Medicine + Exercises (8.0) 3.18 Scientific Visualization + Exercises (8.0) 3.19 Inverse Problems + Exercises (8.0) 3.24 Computational Medical Physics Lab (8.0) 3.25 Radiobiology Lab: Cell Biology & Modelling (8.0) 3.26 Seminar Radiation Therapy (2.0) 3.27 Seminar Nuclear Medicine (2.0) 3.28 Seminar Radiobiology (2.0) 3.29 Seminar MR Methods and Technology (2.0) 3.31 Seminar Computational Medical Physics (2.0)

*number of ECTS are minimum/maximum allowed values.

All courses which are in each respective specialization not listed as mandatory courses can be chosen as elective courses.

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Radiotherapy Imaging Computational Medical Physics

3rd Semester Winter Term

(Mannheim/ Heidelberg)

Mandatory courses (19.0 ECTS) Module 8

6.6 General Science Skills (3.0) 8.1 Specialized Lab Project (16.0)

Module 3/4

Elective courses (6.0 ECTS)* Elective courses (6.0 ECTS)* Elective courses (6.0 ECTS)

3.6 Image Analysis (4.5) 3.7 Diagnostic Radiology (1.5) 3.8 Nuclear Medicine (2.0) 3.9 Biomedical Optics (1.0)

3.14 Biomedical Engineering (2.0)

3.1a Medical Devices and Imaging Systems (4.0) 3.1b MRT Basics (2.0) 3.1c X-Ray Diagnostics and Sonography (2.0) 3.2 Radiotherapy Treatment Planning Dosimetry/ Quality Assurance (4.5) 3.3 Special Radiotherapy Techniques (3.0) 3.4 Image Guided Radiotherapy (1.0) 3.5 Radiobiology (1.0) 3.6 Image Analysis (4.5) 3.9 Biomedical Optics (1.0) 3.13 Novel Diagnostic Methods in Opthalmology (1.0) 3.29 Seminar MR Methods and Technology (2.0)

3.2 Radiotherapy Treatment Planning Dosimetry/ Quality Assurance (4.5) 3.3 Special Radiotherapy Techniques (3.0) 3.4 Image Guided Radiotherapy (1.0) 3.5 Radiobiology (1.0) 3.7 Diagnostic Radiology (1.5) 3.8 Nuclear Medicine (2.0) 3.9 Biomedical Optics (1.0) 3.13 Novel Diagnostic Methods in Opthalmology (1.0) 3.14 Biomedical Engineering (2.0)

Module 5

Workshops (5.0 ECTS)* Workshops (5.0 ECTS)* Workshops (5.0 ECTS)*

4.1 Basic Cellular Biology/Radiobiology (1.0) 4.2 MR-Radiology (1.0) 4.3 Radiation Protection and Quality Assurance (1.0) 4.4 Diagnostic Radiology/Image Management (1.0) 4.10 Eye Clinics (1.0) 4.11 Nanoscopy Lab (2.0) 4.12 Matlab Programming Exercise: Preparation for Master Thesis (4.0) 4.13 C++ Introductory Course (4.0) 7.0 Shanghai Workshop (1.0)

*number of ECTS are minimum/maximum allowed values.

All courses which are in each respective specialization not listed as mandatory courses can be chosen as elective courses.

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Neurosciences Imaging/ Biomedical Optics Computer Engineering

3rd

Semester (Shanghai)

Elective courses (max. 30 ECTS) Elective courses (max. 30 ECTS) Elective courses (max. 30 ECTS)

Nanotechnology (3.0)

BioMEMS (3.0)

Biomaterials (3.0)

Neurobiology (3.0)

Structure & Function of Biomacromolecules (4.5)

Theoretical Neurosciences (4.5)

Experiments of modern lab animal science (1.5)

Bioheat & Mass Transfer (4.5)

Neuroinformatics (3.0)

Physical therapy technology (4.5)

Biomedical ultrasound (4.5)

Medical imaging (3.75)

New Technology in Medical Imaging (3.0)

Biomedical Sensors (4.5)

Laser medicine & biophotonics (3.0)

Frontier problems of optics (4.5)

Non-linear optics of optical fibers (4.5)

Modern optics (4.5)

Optoelectronics (3.0)

Semiconductor devices (3.0)

Processing of optical information (3.0)

Principle & technology of laser (4.5)

Non-linear optics (4.5)

Engineering optics (4.5)

Application of Computers in Life Sciences (3.0)

Signal processing (4.5)

Digital signal processing (3.0)

Bioinfomatics (3.0)

3D image processing & volume visualization (3.0)

Adaptive filtration (3.0)

Biomedical image processing (4.5)

TMS320 digital signal processor (3.75)

Random signal processing (4.5)

Opt. estimation theory & system identification (4.5)

Computer graphics (4.5)

Wireless communication & sensor networks (3.0)

Mobile & wireless networking (4.5)

Module 9

Radiotherapy Imaging Computational Medical Physics 4

th Semester

Summer Term (Mannheim/ Heidelberg or Shanghai)

Mandatory courses (30.0 ECTS)

5.0 Master Thesis (30.0)

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5. Overview of the Courses

Module Part Course Nr. Title ECTS

1 Basics courses

1.1 Biophysics 1 1.2 Engineering Mathematics 3.5 1.3 Genetics 1 1.4 Basic Medical Science 2

Total 7.5

2 Advanced courses

2.1 Radiation Protection 1 2.2 Radiation Physics and Instrumentation 3

Total 4

3 / 4

Specialization Winter term

3.1 Physics of Imaging Systems 2

3.1a Medical Devices and Imaging Systems (Advanced)

3.1b MRT Basics (Advanced)

3.1c X-Ray Diagnostic and Sonography (Advanced) 3.2 Radiotherapy Treatment Planning/ Dosimetry/ QA 4.5 3.3 Special Radiotherapy Techniques 3 3.4 Image Guided Radiotherapy 1 3.5 Radiobiology 1 3.6 Image Analysis 4.5 3.7 Diagnostic Radiology 1.5 3.8 Nuclear Medicine 2 3.9 Biomedical Optics 1

3.10 Basic Optics 2 3.13 Novel Diagnostic Methods in Ophthalmology 1 3.14 Biomedical Engineering 2

6 / 7

Specialization Summer term

3.15 Computational Medical Physics and Bioinformatics 1

3.16 Scientific Programming in Physics and Engineering + Exercises 4

3.17 Simulators in Games and Medicine + Exercises 8 3.18 Volume Visualization + Exercises 8 3.19 Inverse Problems + Exercises 8

3.20 Radiation Therapy Lab: Quality Assurance & Treatment Planning (6 weeks) 8

3.21 Imaging Lab: MR Technology (6 weeks) 8

3.22 Nuclear Medicine Lab: Experiments & Data Analysis (6 weeks) 8

3.24 Computational Medical Physics Lab (6 weeks) 8

3.25 Radiobiology Lab: Cell Biology & Modelling (6 weeks) 8

3.26 Seminar Radiation Therapy: Journal Club + Presentation 2

3.27 Seminar Nuclear Medicine: Journal Club + Presentation 2

3.28 Seminar Radiobiology: Journal Club + Presentation 2

3.29 Seminar MR Methods and Technology: Journal Club + Presentation 2

3.31 Seminar Computational Med. Physics: Journal Club + Presentation 2

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5 Workshops (elective)

4.1 Basic Cellular Biology/Radiobiology 1 4.2 MR – Radiology 1 4.3 Radiation Protection and Quality Assurance 1 4.4 Diagnostic Radiology/ Image Management 1

4.10 Eye Clinics (Mannheim) 1 4.11 Nanoscopy Lab (Mainz) 2

4.12 Matlab Programming Exercise: Preparation for Master Thesis 4

4.13 C++ Introductory Course 4 7.0 Shanghai Workshop 1

8

Academic Skills

6.6 General Science Skills 3

Lab Project 8.1

Specialized Lab Project 16

Total 18

9 Master thesis

5.0 Masters project and thesis writing; Public presentation of the thesis and final examination 30

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1

6. Modules in Detail

Course Nr. 1.1

Module Title Biophysics

Credit Points

1.0

Lecture 25 h Self-Study 3 h Preparation for Exam 2 h

Type of Course Lecture

Turn Yearly

Language English

Contents of Module:

Biophysics of DNA/sequencing, Protein/Protein structure determination and prediction

Biophysical electrophysiology

Learning Objectives: Students should have the competence to read and understand papers in this field. They should be able to apply the knowledge to concrete applications. They should further be able to solve typical questions in this field of biophysical processes. In particular, they are able to develop programs for sequence alignment, protein structure classification, and prediction, find native conformations using force-fields, and be able to correctly perform electrophysiological measurements.

Requirements of Participation/ Required Previous Knowledge: None Useful Previous Knowledge: None

Exam Regulations: yes Exam (written/ oral/ exercises/ report): Basics in Physics Formalities Required: no Max. Number of Participants: 40 Other Comments: Block Course

Coordinator: Prof. Dr. J. W. Hesser Recommended Literature: Will be given at the beginning of the lecture.

Module 1. Basic courses (Mandatory)

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2

Course Nr. 1.2

Module Title Engineering Mathematics

Credit Points

3

Lecture 30 h Self-Study 25 h Preparation for Exam 5 h

Type of Course

Lecture

Turn

Yearly

Language

English

Contents of Module:

System modelling and description (numerical methods for solution of linear systems, approximation/integration, solving differential equations, optimization, Fourier transforms, and systems theory)

Matlab exercises (basic programming) Learning Objectives: Students should be able to solve typical numerical problems in computational physics. They should also be able to program the solutions and use the pre-existing Matlab functions for this purpose. Further, they should be select the most appropriate techniques and be able to perform simple mathematical proofs.

Requirements of Participation/ Required Previous Knowledge: None Useful Previous Knowledge: None

Exam Regulations: yes Exam (written/ oral/ exercises/ report): Basics in Physics Formalities Required: no Max. Number of Participants: 40 Other Comments: Block Course

Coordinator: Prof. Dr. J. W. Hesser Recommended Literature: Will be given at the beginning of the lecture.

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3

Course Nr. 1.3

Module Title Genetics

Credit Points

1.0

Lecture 15 h Self-Study 10 h Preparation for Exam 5 h

Type of Course

Lecture

Turn

Yearly

Language

English

Contents of Module:

Genetics

DNA, genome, chromosomes

Physical and chemical properties of DNA

Cell division, cell cycle

Genetic diseases Learning Objectives: Knowledge in genetics and the genome.

Requirements of Participation/ Required Previous Knowledge: None Useful Previous Knowledge: None

Exam Regulations: Written Exam: Basics in Medicine Formalities Required: no Max. Number of Participants: 40 Other Comments: Block Course

Coordinator: Prof. Dr. Veldwijk , PD Dr. P. Maier Recommended Literature: Will be given at the beginning of the lecture.

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4

Course Nr. 1.4

Module Title Basic Medical Science

Credit Points

2.0

Lecture 40 h Self-Study 10 h Preparation for Exam 10 h

Type of Course

Lecture

Turn

Yearly

Language

English

Contents of Module:

Medical terminology

Macroscopic anatomy of the human body as required for physicists (anatomical relations, organ motion, differences in tissue properties and their consequences)

Focus on anatomical relations of truncus and CNS.

Preparation of slice-imaging techniques (CT, US, MRI, PET) and their interpretation

Physiology of cardiovascular system, CNS and Metabolic organs (Liver, Kidney)

Modelling of physiology

Contouring of structures in radiation planning

Radiation response Learning Objectives: Competence in anatomy and physiology.

Requirements of Participation/ Required Previous Knowledge: None Useful Previous Knowledge: None

Exam Regulations: Written Exam: Basics in Medicine Formalities Required: no Max. Number of Participants: 40 Other Comments: Block Course

Coordinator: Prof. Dr. W. Kriz, Prof. Dr. U. Böcker, Prof. Dr. F. Lohr, Prof. Dr. J. Maurer, Dr. T. Gloe Recommended Literature:

Netter’s Anatomy, Thieme Verlag

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5

Course Nr. 2.1

Module Title Radiation Protection

Credit Points

1.0

Lecture 8 h Self-Study 14 h Preparation for Exam 8 h

Type of Course

Lecture

Turn

Yearly

Language

English

Contents of Module:

Basics of biological radiation effects

Estimation of risk of stochastic radiation damage on basis of epidemiological data

Consideration of development of tumors, risk of damage in germline and risk of embryo damage

Discussion of legal regulations about diagnostic and therapeutic radiation Learning Objectives: Risk of radiation, radiation protection, estimate risk of radiation, legal regulations for radiation

Requirements of Participation/ Required Previous Knowledge: None Useful Previous Knowledge: General Knowledge Nuclear Physics, Radiation Physics

Exam Regulations: Written Exam: Basics in Radiotherapy Formalities Required: no Max. Number of Participants: 40 Other Comments: Block Course

Coordinator: Prof. Dr. F. Wenz, Mr. V. Steil, PD Dr. C. Herskind Recommended Literature:

www.icrp.org, especially:

http://www.icrp.org/docs/Summary_B-scan_ICRP_60_Ann_ICRP_1990_Recs.pdf resp. complete ICRP Report 60

Module 2. Advanced Courses (Mandatory)

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6

Course Nr. 2.2

Module Title Radiation Physics and Instrumentation

Credit Points

3.0

Lecture 26 h Self-Study 26 h Preparation for Exam 12 h

Type of Course

Lecture

Turn

Yearly

Language

English

Contents of Module:

Technical and clinical development of radiation therapy

Application of radiation therapy to malicious, benign tumors

Technical foundation of radiation therapy (planning, simulator dose calculation, tele-therapy, brachytherapy)

Chain of radiation oncology: CT, simulation, virtual simulation

Foundations of radiation physics Learning Objectives: Basics of radiation oncology, medical indication, different modalities of treatment, treatment chain, and physical background.

Requirements of Participation/ Required Previous Knowledge: None Useful Previous Knowledge: General Knowledge Nuclear Physics, Radiation Physics and Radiation Protection

Exam Regulations: Written Exam: Basics in Radiotherapy Formalities Required: no Max. Number of Participants: 40 Other Comments: Block Course

Coordinator: Prof. Dr. F. Lohr, Mr. V. Steil, PD Dr. H. Wertz, Dr. M. Polednik, Prof. Dr. A. Zakaria Recommended Literature:

A century in Radiology: http://www.xray.hmc.psu.edu/rci/

Radiotherapy Physics: in Practice, Williams/Thwaites, Oxford University Press, 2000

The Physics of Radiation Therapy, Faiz M. Khan, Lippincott, 2003

Radiation Oncology – Management Decisions, Chao, Lippincott, 2002

Practical Radiotherapy Planning, Dobbs/Barrett/Ash, Edwar Arnold, 1999

Radiation Therapy Planning, Bentel, McGraw-Hill, 1995

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Course Nr. 3.1

Module Title Physics of Imaging Systems

Credit Points

2.0

Lecture 24 h Self-Study 30 h Preparation for Exam 10 h

Type of Course

Lecture

Turn

Yearly

Language

English

Contents of Module: physical basics of imaging systems:

conventional X-ray

Computer Tomography CT

Magnetic Resonance Imaging MRI

Sonography/ Ultrasound

Medical Equipment

Learning Objectives: Students should learn about the physical basics of different imaging systems: X-ray, CT, MRI and Sonography.

Requirements of Participation/ Required Previous Knowledge: None Useful Previous Knowledge: General basics in physics.

Exam Regulations: Written Exam: Physics of Imaging Systems Formalities Required: no Max. Number of Participants: 40 Other Comments: Block Course

Coordinator: Prof. Dr. L. Schad Recommended Literature:

Medical Imaging Physics, Hendee/Ritenour, Wiley-Liss, 2002

Bildgebende Systeme für die medizinische Diagnostik, Morneburg, 1995

Computertomographie. Grundlagen, Gerätetechnologie, Bildqualität, Anwendungen, Kalender, 2006

Magnetic Resonance Imaging Theory and Practice, Vlaardingerbroek/den Boer, 2003

Module 3 / 4. Mandatory & elective courses in winter term

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Course Nr. 3.1a

Module Title Medical Devices and Imaging Systems (Advanced)

Credit Points 4

Lecture 56 h Self-Study 30 h Preparation for Exam 10 h

Type of Course Lecture

Turn Yearly

Contents of Module: Technical basics to the following imaging systems:

Conventional X-ray

Computer Tomography CT

Magnetic Resonance Imaging MRI Learning Objectives: Students should learn about the physical basics of different imaging systems

Requirements of Participation/ Required Previous Knowledge: successful attendance in module 3.1 Useful Previous Knowledge: General basics in physics.

Exam Regulations: Written Exam: Physics of Imaging Systems Formalities Required: no Max. Number of Participants: 40 Other Comments: Block Course

Lecturers: Prof. Dr. L. Schad Recommended Literature: Medical Physics and Biomedical Engineering, Brown et al., 1999

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Course Nr. 3.1b

Module Title MRT Basics (Advanced)

Credit Points 2

Lecture 24 h Self-Study 30 h Preparation for Exam 10 h

Type of Course Lecture

Turn Yearly

Contents of Module:

Advanced techniques of Imaging in MRI Learning Objectives: Students should learn about the physical basics of the MRI techniques

Requirements of Participation/ Required Previous Knowledge: successful attendance in module 3.1 Useful Previous Knowledge: General basics in physics.

Exam Regulations: Written Exam: Physics of Imaging Systems Formalities Required: no Max. Number of Participants: 40 Other Comments: Block Course

Lecturers: Prof. Dr. L. Schad Recommended Literature: Magnetic Resonance Imaging Theory and Practice, Vlaardingerbroek/ den Boer, 2003

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Course Nr. 3.1c

Module Title X-Ray Diagnostic and Sonography (Advanced)

Credit Points 2

Lecture 24 h Self-Study 30 h Preparation for Exam 10 h

Type of Course Lecture

Turn Yearly

Contents of Module: Advanced techniques of Imaging Systems/ Diagnostics

Conventional X-ray

Sonography/ Ultrasound Learning Objectives: Students should learn about the physical basics of Conventional X-ray and Sonography

Requirements of Participation/ Required Previous Knowledge: successful attendance in module 3.1 Useful Previous Knowledge: General basics in physics.

Exam Regulations: Written Exam: Physics of Imaging Systems Formalities Required: no Max. Number of Participants: 40 Other Comments: Block Course

Lecturers: Prof. Dr. L. Schad Recommended Literature:

Medical Imaging Physics, Hendee/Ritenour, Wiley-Liss, 2002

Bildgebende Systeme für die medizinische Diagnostik, Morneburg, 1995

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Course Nr. 3.2

Module Title Radiotherapy Treatment Planning/ Dosimetry/ Quality Assurance

Credit Points

4.5

Lecture 26 h Lecture 26 h Practical Course 6h Self-Study 69 h Preparation for Exam 14 h

Type of Course

Lecture/ Practical Course

Turn

Yearly

Language

English

Contents of Module:

Basics of treatment planning and computation of monitor units for radiation oncology with linear accelerators

Methods for dose measurement (Ionization chambers, semi-conductor detectors, TLDs, film dosimetry)

Algorithms for dose computation: Pencil Beam, Collapsed Cone, Monte Carlo

Quality assurance of treatment planning/workflow in radio-oncology (imaging systems, computers, simulator, accelerator) focusing on geometric and dosimetric parameters

Learning Objectives: Basic and detailed knowledge of relevant techniques in treatment planning, dosimetry, and quality assurance, current workflow and theoretical basis for measurement and experiments with radiation systems

Requirements of Participation/ Required Previous Knowledge: Successful Participation in Modules 1.1, 1.2, 2.1 and 2.2 Useful Previous Knowledge: Modules 3.7 & 2.2 (Diagnostic Radiology & Radiation Oncology/ Radiation Physics)

Exam Regulations: Written Exam: Advanced Radiotherapy Formalities Required: no Max. Number of Participants: 40 Other Comments: Block Course

Coordinator: PD Dr. H. Wertz, Dr. M. Polednik, Prof. Dr. J. Hesser Recommended Literature:

A century in Radiology: http://www.xray.hmc.psu.edu/rci/

Radiotherapy Physics: in Practice, Williams/Thwaites, Oxford University Press, 2000

The Physics of Radiation Therapy, Faiz M. Khan, Lippincott, 2003

Practical Radiotherapy Planning, Dobbs/Barrett/Ash, Edwar Arnold, 1999

Radiation Therapy Planning, Bentel, McGraw-Hill, 1995

ESTRO Publications: 1. Monitor Unit Calculation for High Energy Photon Beams 2. Recommendations for a Quality Assurance Programme in External Radiotherapy 3. Practical Guidelines for the Implementation of a Quality System in Radiotherapy

AAPM Radiation Therapy Committee Task Group 53: Quality assurance for clinical radiotherapy treatment planning, Fraas et al., Med Phys Vol. 25, No. 10, October 1998

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Course Nr. 3.3

Module Title Special Radiotherapy Techniques

Credit Points 3.0

Lecture 16 h Self-Study 38 h Preparation for Exam 16 h

Type of Course Lecture

Turn Yearly

Language English

Contents of Module:

Foundations of brachytherapy 1. used dose rates: Low dose rate, Intermediate dose rate, High dose rate, Pulsed Dose Rate) 2. dosimetry systems (Paris System, Manchester System), principles of brachytherapeutic applications 3. computer based and image based treatment planning

Stereotactic-based precision radiation therapy

Intensity modulated radiotherapy (IMRT): special technical foundations/ quality assurance

Particle therapy. Learning Objectives: Innovative radio-oncologic methods and how they are practically used.

Requirements of Participation/ Required Previous Knowledge: Successful Participation in Modules 1.1, 1.2, 2.1, 2.2 and 3.2 Useful Previous Knowledge: General Knowledge Nuclear Physics, Radiation Physics, radiation planning, Dosimetry and quality assurance in radiology and radiotherapy

Exam Regulations: Written Exam: Advanced Radiotherapy Formalities Required: no Max. Number of Participants: 40 Other Comments: Block Course

Coordinator: Dr. F. Stieler, tbd Recommended Literature:

The GEC/ESTRO Handbook of Brachytherapy, Gerbaulet, ESTRO Publishing, 2002

Intensity-Modulated Radiation Therapy, Webb, Institute of Physics Publishing, 2001

Inverse planning algorithms for external beam radiation therapy, Chui, Med. Dosim, 2001

AAPM Report on IMRT, Ezzell et al., Med. Phys. 30, 2003

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Course Nr. 3.4

Module Title Image Guided Radiotherapy

Credit Points 1.0

Lecture 8 h Self-Study 12 h Preparation for Exam 10 h

Type of Course Lecture

Turn Yearly

Language English

Contents of Module:

Techniques of patient positioning and target location in radiation therapy (simulation, portal imaging, positioning support systems/mask systems), inaccuracies herein concerning positioning accuracy and dosimetry

Localization by ultrasound

Localization by 2D X-ray (portal imaging, Fiducial markers)

3D-CT (Cone Beam CT, Gantry Mounted Volume Imaging)

Adaptive radiation therapy

Learning Objectives: Medical foundations of image guided radiotherapy and their physical principles.

Requirements of Participation/ Required Previous Knowledge: Successful attendance in Modules 1.1, 1.2, 2.1, 2.2 and 3.2 Useful Previous Knowledge: General Knowledge Nuclear Physics, Radiation Physics, imaging systems, radiation therapy

Exam Regulations: Written Exam: Advanced Radiotherapy Formalities Required: no Max. Number of Participants: 40 Other Comments: Block Course

Coordinator: PD Dr. H. Wertz Recommended Literature: will be given at the beginning of the lecture.

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Course Nr. 3.5

Module Title Radiobiology

Credit Points 1.0

Lecture/ Workshop 10 h Preparation for Presentation 6h Self-Study 10 h Preparation for Exam 4 h

Type of Course Lecture/ Workshop

Turn Yearly

Language English

Contents of Module:

Basics of biological radiation effect (physical interaction of different radiation qualities with matter, chemical reactions following, biological consequences)

Cell cycle, proliferation, signal chain gene-protein

DNA-defects and their consequences, DNA repair

Different radiation sensitivity on cellular and tissue level

Biological consequences of different fractionation protocols

Learning Objectives: Describe the biological basis of radiation effects.

Requirements of Participation/ Required Previous Knowledge: Successful attendance in Modules 1.1, 1.3 and 1.4 Useful Previous Knowledge: General Knowledge Nuclear Physics, Radiation Physics, knowledge of cell biology

Exam Regulations: Presentation/ Written Exam/ Report: Advanced Radiotherapy Formalities Required: no Max. Number of Participants: 40 Other Comments: Block Course

Coordinator: PD Dr. C. Herskind, Prof. Dr. M. Veldwijk Recommended Literature:

Hall, E. J. and Giaccia, A. J. "Radiobiology for the Radiologist" 7th Edition. Lippincott Williams & Wilkins (Philadelphia) 2012. ISBN-13: 978-1-60831-193-4

Joiner, M. and van der Kogel A. (Eds) "Basic Clinical Radiobiology" 4th Edition. Hodder Arnold (London) 2009. ISBN: 978 0 340 929 667

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Course Nr. 3.6

Module Title Image Analysis

Credit Points 4

Lecture 20 h Exercise 50 h Self-Study 50 h Preparation for Exam 10 h

Type of Course Lecture/ Exercise

Turn Yearly

Language English

Contents of Module:

Digitalization of image information/ relevant data formats

Mathematical methods of image transformation, digital filtering (linear, non-linear), Fourier- transform, segmentation, registration and pattern recognition

Learning Objectives: Students should be able to perform all steps of the image processing workflow. They should have the competence to select the most appropriate methods, program them and evaluate the achieved results.

Requirements of Participation/ Required Previous Knowledge: Successful attendance in modules 1.2 and 3.7 Useful Previous Knowledge: None

Exam Regulations: yes Exam (written/oral/exercises/report) Formalities Required: no Max. Number of Participants: 40 Other Comments: Block Course

Coordinator: Prof. Dr. J. W. Hesser Recommended Literature:

Medical Image Processing, Gonzalez/Woods/Eddin, Pearson, 2004

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Course Nr. 3.7

Module Title Diagnostic Radiology

Credit Points 1.5

Lecture 12 h Self-Study 24 h Preparation for Exam 9 h

Type of Course Lecture

Turn Yearly

Language English

Contents of Module:

Physical foundations of imaging systems: a) X-ray (fluoroscopy, angiography, mammography) b) CT c) MRI, MRS d) US especially: radiation quality, imaging parameters, future developments

Properties of imaging systems for therapy planning

Image transfer, image storage, typical data formats Learning Objectives: Physical basis of different radio-diagnostic systems and the main aspects of their clinical usage.

Requirements of Participation/ Required Previous Knowledge: Successful attendance in module 1.4 Useful Previous Knowledge: General Knowledge Nuclear Physics, Radiation Physics

Exam Regulations: Written Exam: Advanced Radiotherapy Formalities Required: no Max. Number of Participants: 40 Other Comments: Block Course

Coordinator: PD Dr. G. Weisser, Prof. Dr. K. Büsing, Dr. S. Haneder Recommended Literature:

Medical Imaging Physics, Hendee/Ritenour, Wiley-Liss, 2002

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Course Nr. 3.8

Module Title Nuclear Medicine (advanced)

Credit Points 2.0

Lecture 20 h Self-Study 28 h Preparation for Exam 12 h

Type of Course Lecture

Turn Yearly

Language English

Contents of Module:

Basic physics of imaging with radioactive substances

Nuclear Medicine instrumentation (e.g. gamma camera/SPECT/PET)

Radionuclide production

Evaluation of diagnostic systems

Modelling in nuclear medicine

Radiochemistry / radiopharmacy

Clinical nuclear medicine (scintigraphy / immunoscintigraphy / PET)

Molecular radiotherapy (radioiodine therapy, radioimmunotherapy, peptide receptor radionuclide therapy)

Combination of nuclear medical methods with other imaging techniques (Fusion PET/CT, SPECT/CT)

Learning Objectives: Main nuclear medical imaging and therapy techniques, their physical basics and usage in the clinic.

Requirements of Participation/ Required Previous Knowledge: None Useful Previous Knowledge: m2.1: Radiation Protection m2.2: Basic Radiation Oncology/Radiation Physics m3.7: Diagnostic Radiology

Exam Regulations: Written Exam: Advanced Radiotherapy Formalities Required: no Max. Number of Participants: 40 Other Comments: Block Course

Coordinator: Prof. Dr. G. Glatting, Prof. Dr. D. Dinter, Prof. Dr. B. Wängler, Prof. Dr. K. Büsing Recommended Literature:

Physics in Nuclear Medicine. SR Cherry, JA Sorenson, ME Phelps. 4th ed. Philadelphia,

Pennsylvania: Saunders/Elsevier 2012.

Medical Imaging Physics, Hendee/Ritenour, Wiley-Liss, 2002

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Course Nr. 3.9

Module Title Biomedical Optics (Basic Optics and Lasers)

Credit Points 1.0

Lecture 12 h Self-Study 10 h Preparation for Exam 8 h

Type of Course Lecture

Turn Yearly

Language English

Contents of Module: physical basics of biomedical optics

basics of geometrical optics: reflection- and refraction law, dispersion, polarization

physical basics of optics: particle/wave dualism, Maxwell laws

basics of laser physics: principals, interaction with matter, laser-properties and –systems

biomedical applications: lasers in medicine, microscopy, etc. Learning Objectives: students should learn about the physical basics in optics and lasers

Requirements of Participation/ Required Previous Knowledge: Successful attendance in module 3.10 Useful Previous Knowledge: general basics in physics and optics

Exam Regulations: Written Exam: Basics in Optics and Laser Physics Formalities Required: no Max. Number of Participants: 40 Other Comments: Block Course

Coordinator: Prof. Dr. L. Schad Recommended Literature:

E. Hecht and A. Zajac, Optics, Addison Wesley, International 4th ed., 2003

M. Born and E. Wolf, Principles of optics: Electromagnetic theory of propagation, Cambridge University Press, 2002

M.H. Niemz, Laser-Tissue Interactions: Fundamentals and Applications (Biomedical and Medical Physics, Biomedical Engineering), Springer, 3

rd enlarged ed., 2003

L.O. Björn, Photobiology, Springer, 2008

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Course Nr. 3.10

Module Title Basic Optics

Credit Points 2.0

Lecture 16 h Self-Study 32 h Preparation for Exam 12 h

Type of Course Lecture

Turn Yearly

Language English

Contents of Module:

Geometric optics: reflection, refraction, dispersion, polarization

Optical aberration

Gauss-optics

Diffraction optics

Interferometry

Optical resolution, human eye, optical instruments

Learning Objectives: Geometric optics, lens equations for optical systems, diffraction theory and interfereometrical measurement methods.

Requirements of Participation/ Required Previous Knowledge: Successful Participation in Introductory Courses 1.1 – 1.4 Useful Previous Knowledge: General knowledge in optics

Exam Regulations: Written Exam: Basic Optics Formalities Required: no Max. Number of Participants: 40 Other Comments: Block Course

Coordinator: Prof. Dr. J. Bille Recommended Literature:

E. Hecht, Physics, Brooks/Cole Publishing Company,1994

P. Tipler, Physics, Worth Publishers Inc., 1982

M. Born and E. Wolf, Principles of optics: Electromagnetic theory of propagation, Cambridge University Press, 2002

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Course Nr. 3.13

Module Title Novel Diagnostic Methods in Ophthalmology

Credit Points 1.0

Lecture 12 h Self-Study 24h

Type of Course Lecture

Turn Yearly

Language English

Contents of Module:

Light scatter in cornea, measurement of thickness of cornea

Concepts of laser scanning tomography, three-dimensional pailla analysis, nerve fiber layer measurements

Principles of angiography Learning Objectives: Recent diagnostic methods in ophthalmology.

Requirements of Participation/ Required Previous Knowledge: Successful attendance in module 3.10 Useful Previous Knowledge: None

Exam Regulations: no Formalities Required: no Max. Number of Participants: 40 Other Comments: Block Course

Coordinator: Prof. Dr. H. Krastel, Prof. Dr. S. Beutelsbacher, Prof. Dr. F. Schlichtenbrede Recommended Literature: will be given at the beginning of the lecture.

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Course Nr. 3.14

Module Title Biomedical Engineering

Credit Points 2.0

Lecture 24 h Self-Study 30 h Preparation for Exam 10 h

Type of Course Lecture

Turn Yearly

Language English

Contents of Module: Basic Physics of biomedical engineering:

Blood Pressure

Blood Flow

ECG

EEG

MEG

MRS

Learning Objectives: Basic knowledge in biomedical engineering.

Requirements of Participation/ Required Previous Knowledge: Successful attendance in module 1.4 Useful Previous Knowledge: Basics in Physics

Exam Regulations: Written Exam: Basics in Biomedical Engineering Formalities Required: no Max. Number of Participants: 40 Other Comments: Block Course

Coordinator: Prof. Dr. L. Schad Recommended Literature:

Medical Physics and Biomedical Engineering, Brown et al., 1999

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Course Nr. 3.16

Module Title Scientific Programming in Physics and Engineering + Exercises (advanced)

Credit Points: 4 1.5 (Lecture) 2.5 (Exercises)

Lecture 15 h Exercise 70 h Self-Study 30 h Preparation for Exam 5 h

Type of Course Lecture and Exercises

Turn Yearly

Language English

Contents of Module: Introduction and Exercises to basic techniques of software development on basis of C++/Phyton.

Programming environment

Test strategies

Documentation

Software architecture

Software libraries

Efficient programming, parallel programming

Generic and object oriented programming

Learning Objectives: Basic knowledge in software engineering for developing programs in science disciplines like physics and engineering.

Requirements of Participation/ Required Previous Knowledge: Successful attendance in module 4.13 or previously gained background in C++ Useful Previous Knowledge: None

Exam Regulations: yes Exam (written/oral/exercises/report) Formalities Required: Registration to this lecture, C++ introduction course required Max. Number of Participants: 40 Other Comments: -

Lecturers: Prof. Dr. J. Hesser Recommended Literature: tba

Module 6 / 7. Mandatory & Elective course in summer term

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Course Nr. 3.17

Module Title Simulators in Games and Medicine + Exercises (advanced)

Credit Points: 8.0 3 (Lecture) 5 (Exercises)

Lecture 42 h Exercise 100 h Self-Study 63 h Preparation for Exam 15 h

Type of Course Lecture and Exercise

Turn Yearly

Language English

Contents of Module:

Basic components of simulation engine (games)

Architecture of games engines

Introduction of OGRE as an open-source game engine

Overview: graphics and computer games

Collision engine

Animation and physics engine (open-source library Bullet)

Path planning engine

AI (artificial intelligence) engine

Learning Objectives: Basic knowledge of concept of computer games and its challenges. Introduction to development of architecture engines and how to deal with typical problems in graphics, collision, animation, physics, path planning, artificial intelligence. Exercises, how to develop games and realize game engines. Basic knowledge in basics of medical simulation systems.

Requirements of Participation/ Required Previous Knowledge: Successful attendance in module 4.13 or previously gained background in C++ Successful attendance in module 3.16 Useful Previous Knowledge: None

Exam Regulations: yes Exam (written/oral/exercises/report) Formalities Required: Registration to this lecture, C++ introduction course required, attendance in module 3.16 Max. Number of Participants: 40 Other Comments: -

Lecturers: Prof. Dr. J. Hesser Recommended Literature:

Gregory et al: Game Engine Architecture

Ericson: Real-Time Collision Detection

Eberly: Game Physics

Millington: Artificial Intelligence for Games

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Course Nr. 3.18

Module Title Volume Visualization + Exercises (advanced)

Credit Points: 8.0 2 (Lecture) 6 (Exercises)

Lecture 28 h Exercise 42 h Self-Study 155 h Preparation for Exam 15 h

Type of Course Lecture and Exercise

Turn Yearly

Language English

Contents of Module:

Computer Graphics basics

Conversion into surface and volume grids

Sampling and approximation theory

Volume rendering

Vector and information visualization Programming technique: GPU- programming

Learning Objectives: Basic knowledge in the fundamental methods of representing complex scientific information.

Requirements of Participation/ Required Previous Knowledge: Successful attendance in module 4.13 or previously gained background in C++ Useful Previous Knowledge: None

Exam Regulations: yes Exam (written/oral/exercises/report) Formalities Required: Registration to this lecture, C++ introduction course required Max. Number of Participants: 40 Other Comments: -

Lecturers: Prof. Dr. J. Hesser Recommended Literature:

Engel et al: Real-Time Volume Graphics: www.real-time-volume-graphics.org,

Schroeder et al: VTK Textbook: http://www.kitware.com/products/books/vtkbook.html

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Course Nr. 3.19

Module Title Inverse Problems + Exercises (advanced)

Credit Points: 8.0 2 (Lecture) 6 (Exercises)

Lecture 28 h Exercise 42 h Self-Study 155 h Preparation for Exam 15 h

Type of Course Lecture and Exercise

Turn Yearly

Language English

Contents of Module:

Examples of inverse problems, especially tomography and deblurring

Deterministic approaches, Tikhonov regularization

Stochastic methods (Bayesian techniques)

Estimating the regularization parameter

Compressed sensing

Learning Objectives: Basic knowledge in solving inverse problems.

Requirements of Participation/ Required Previous Knowledge: None Useful Previous Knowledge: None

Exam Regulations: yes Exam (written/oral/exercises/report) Formalities Required: Registration to this lecture Max. Number of Participants: 40 Other Comments: -

Lecturers: Prof. Dr. J. Hesser Recommended Literature: Vogel: Computational Methods for Inverse Problems http://www.math.montana.edu/~vogel/Book/

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Course Nr. 3.20

Module Title Radiation Therapy Lab: Quality Assurance & Treatment Planning (advanced)

Credit Points: 8.0

Lab 40 h Self-Study 176 h Written Report 24 h

Type of Course Lab

Turn Yearly

Language English

Contents of Module:

Practical exercises for quality assurance of workflow and treatment planning system (system geometry, dosimetry) – “end-to-end”-test.

Dosimetry with different detector systems (ionization chamber, solid state detector, film dosimeter) in different measurement systems (water phantom, water equivalent solid phantom etc.)

Patient Treatment planning (different tumor sites).

Learning Objectives: Practical application of theoretical knowledge by measuring in phantoms for dosimetry and quality assurance as well as basic knowledge in treatment planning.

Requirements of Participation/ Required Previous Knowledge: Successful attendance in module 2.1, 2.2, 3.2 and 3.4 Useful Previous Knowledge: Basic Knowledge in Radiation Physics

Exam Regulations: Presentation/Short Report/Exercises/Exam Formalities Required: no Max. Number of Participants: 12 Other Comments: Block Lab

Lecturers: Mr. V. Steil, PD Dr. H. Wertz, Dr. M. Polednik Recommended Literature:

tba

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Course Nr. 3.21

Module Title Imaging Lab: MR Technology (advanced)

Credit Points 8.0

Lab 40 h Self-Study 176 h Written Report 24 h

Type of Course Lab

Turn Yearly

Language English

Contents of Module:

Practical exercises for image acquisition with MR (phantom experiments)

Characteristics of conventional image sequences regarding tissue contrast, artefacts …

Characteristics of fast image sequences

Application of special sequences (angiography, diffusion tensor imaging, functional MRI)

Exercises for MR- spectroscopy

Learning Objectives: In-depth exercises in MRI following the theoretical knowledge of module 3.1. The students learn the important applications of MR in medicine. They learn to handle imaging sequences and gain knowledge in MR- spectroscopy.

Requirements of Participation/ Required Previous Knowledge: Successful attendance in courses 3.1 and 4.2 Useful Previous Knowledge: Basic Knowledge in Physics

Exam Regulations: Presentation/ Short Report/ Exercises/ Exam Formalities Required: no Max. Number of Participants: 12 Other Comments: Block Lab

Lecturers: Prof. Dr. L. Schad Recommended Literature:

tba

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Course Nr. 3.22

Module Title Nuclear Medicine Lab: Experiments & Data Analysis (advanced)

Credit Points 8.0

Lab 40 h Self-Study 176 h Written Report 24 h

Type of Course Lab

Turn Yearly

Language English

Contents of Module:

Radioactivity

Calibration Factor

Positron-Emission-Tomography

Emphasis:

Image reconstruction and/or

Evaluation of dynamic PET-studies and/or

Solution of optimization problem in radionuclide- therapy

Learning Objectives: The students repeat and deepen their knowledge in nuclear medicine, e.g. radioactivity and PET. Additionally, they get to know and apply easy examples of image reconstruction and evaluation of dynamic PET data with compartmental models. The students understand how experimental data are obtained in nuclear medicine and how to interpret these. An optimization problem in radionuclide therapy will be evaluated and solved. They learn how to work scientifically, including literature research, protocol writing of experiments. At the end, the students will write a short report about their results.

Requirements of Participation/ Required Previous Knowledge: Successful attendance of module 3.8 Useful Previous Knowledge: Basics in Mathematical Modelling and MATLAB

Exam Regulations: Presentation/Short Report/Exercises/Exam Formalities Required: no Max. Number of Participants: 12 Other Comments: Block Lab

Lecturers: Prof. Dr. G. Glatting, PD Dr. K.-A. Büsing, Prof. Dr. B. Wängler Recommended Literature:

tba

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Course Nr. 3.24

Module Title Computational Medical Physics Lab (advanced)

Credit Points 8.0

Lecture: 4 h Lab 180 h Self-Study 40 h (for report) Preparation for Presentation 16 h

Type of Course Lab

Turn Yearly

Language English

Contents of Module:

Methods of non-linear numerical analysis – eLearning-course

GPU programming – hands-on-course with examples

Mathematical models in medical physics and biomedical optics such as – eLearning course

Learning Objectives: The students learn to deal with research topics related to computational medical physics. They learn special techniques to prepare themselves for the master thesis. They will work on a small lab project, write a short report about the workflow and the results and give a short presentation in the seminar (elective, module 3.30). They gain experience in scientific work and evaluation.

Requirements of Participation/ Required Previous Knowledge: None Useful Previous Knowledge: None

Exam Regulations: Presentation/Short Report/Exercises/Exam Formalities Required: no Max. Number of Participants: 12 Other Comments: Block Lab

Lecturers: Prof. Dr. J. Hesser Recommended Literature:

tba

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Course Nr. 3.25

Module Title Radiobiology Lab (advanced)

Credit Points 8.0

Lab 40 h Self-Study 176 h Written Report 24 h

Type of Course Lab

Turn Yearly

Language English

Contents of Module:

Basics of cell culture

Techniques in micro biology

Basics of molecular biology techniques (Flowcytometry, PCR, Genetransfer, gene expression analysis)

Learning Objectives: In depth theoretical and practical knowledge about cell culture, sterile working, molecular biology methods.

Requirements of Participation/ Required Previous Knowledge: None Useful Previous Knowledge: Basics in Biology and Chemistry

Exam Regulations: Presentation/Short Report/Exercises/Exam Formalities Required: no Max. Number of Participants: 4 Other Comments: Block Lab

Lecturers: PD Dr. C. Herskind, Prof. Dr. M. Veldwijk Recommended Literature:

tba

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Course Nr. 3.26

Module Title Seminar Radiation Therapy: Journal Club + Presentation (advanced)

Credit Points 2.0

Journal Club: 15 h Preparation for Presentation and report: 30 h

Type of Course Seminar

Turn Yearly

Language English

Contents of Module: The topic depends on the current state of the art and the supervising lab (module 3.20). Workflow:

Attendance in the Journal Club Radiation Therapy (min. 5 times)

Presentation in Journal Club (1 time)

Report submission

Learning Objectives: The students learn to take part in scientific discussions, formulate a topic related to current state of the art and present it. They learn to work on and present scientific problems, including i.e. literature research.

Requirements of Participation/ Required Previous Knowledge: Successful attendance in courses 2.1, 2.2, 3.2 Useful Previous Knowledge: None

Exam Regulations: Presentation, min. 5 times presence in seminar Formalities Required: no Max. Number of Participants: 12 Other Comments: Seminar, every Tuesday

Lecturers: PD Dr. H. Wertz Recommended Literature:

tba

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Course Nr. 3.27

Module Title Seminar Nuclear Medicine: Journal Club + Presentation (advanced)

Credit Points 2.0

Journal Club: 15 h Preparation for Presentation and report: 30 h

Type of Course Seminar

Turn Yearly

Language English

Contents of Module: The topic depends on the current state of the art . Workflow:

Attendance in the Journal Club Radiation Therapy (min. 5 times)

Presentation in Journal Club (1 time)

Report submission

Learning Objectives: The students learn to take part in scientific discussions, formulate a topic related to current state of the art and present it. They learn to work on and present scientific problems, including literature research.

Requirements of Participation/ Required Previous Knowledge: Successful attendance in courses 3.8 Useful Previous Knowledge: None

Exam Regulations: Presentation, min. 5 times presence in seminar Formalities Required: no Max. Number of Participants: 12 Other Comments: Seminar, every Tuesday

Lecturers: Prof. Dr. G. Glatting Recommended Literature:

tba

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Course Nr. 3.28

Module Title Seminar Radiobiology: Journal Club + Presentation (advanced)

Credit Points 2.0

Journal Club: 15 h Preparation for Presentation and report: 30 h

Type of Course Seminar

Turn Yearly

Language English

Contents of Module: The topic depends on the current state of the art. Workflow:

Attendance in the Journal Club Radiobiology (min. 5times)

Presentation in Journal Club (1 time)

Report submission

Learning Objectives: The students learn to take part in scientific discussions, formulate a topic related to current state of the art and present it. They learn to work on and present scientific problems, including i.e. literature research.

Requirements of Participation/ Required Previous Knowledge: Successful attendance in courses 3.5 Useful Previous Knowledge: None

Exam Regulations: Presentation, min. 5 times presence in seminar / protocol Formalities Required: no Max. Number of Participants: 4 Other Comments: Seminar, every second Wednesday

Lecturers: PD Dr. C. Herskind, Prof. Dr. M. Veldwijk Recommended Literature:

tba

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Course Nr. 3.29

Module Title Seminar MR Methods and Technology: Journal Club + Presentation (advanced)

Credit Points 2.0

Journal Club: 15 h Preparation for Presentation and report: 30 h (whole year seminar: total 96 h)

Type of Course Seminar

Turn Yearly

Language English

Contents of Module: The topic depends on the current state of the art and the supervising lab (module 3.21).

Physical basics of imaging and/or diagnostic techniques:

MRI

CT Workflow:

Attendance in the Journal Club Imaging (min. 5 times)

Presentation in Journal Club (1 time)

Report submission.

Learning Objectives: The students learn to take part in scientific discussions, formulate a topic related to current state of the art and present it. They learn to work on and present scientific problems, including i.e. literature research.

Requirements of Participation/ Required Previous Knowledge: Successful attendance in courses 3.1 and 3.21 Useful Previous Knowledge: None

Exam Regulations: Presentation, min. 5 times presence in seminar Formalities Required: no Max. Number of Participants: 6 Other Comments: Seminar, every Wednesday

Lecturers: Prof. Dr. L. Schad Recommended Literature:

Medical Imaging Physics, Hendee/Ritenour, Wiley-Liss, 2002.0

Bildgebende Systeme für die medizinische Diagnostik, Morneburg, 1995

Computertomographie. Grundlagen, Gerätetechnologie, Bildqualität, Anwendungen, Kalender, 2006 Magnetic Resonance Imaging Theory and Practice, Vlaardingerbroek/den Boer, 2003

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Course Nr. 3.31

Module Title Seminar Computational Medical Physics: Journal Club + Presentation (advanced)

Credit Points 2.0

Journal Club: 15 h Preparation for Presentation and report: 30 h

Type of Course Seminar

Turn Yearly

Language English

Contents of Module: The topic depends on the current state of the art and the supervising lab (module 3.21). Workflow:

Attendance in the Journal Club Image Analysis (min. 5 times)

Presentation in Journal Club (1 time)

Report submission

Learning Objectives: The students learn to take part in scientific discussions, formulate a topic related to current state of the art and present it. They learn to work on and present scientific problems, including i.e. literature research.

Requirements of Participation/ Required Previous Knowledge: Successful attendance in courses 3.24 Useful Previous Knowledge: None

Exam Regulations: Presentation, min. 5 times presence in seminar Formalities Required: no Max. Number of Participants: 6 Other Comments: Seminar, every Thursday

Lecturers: Prof. Dr. J. Hesser Recommended Literature:

tba

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Course Nr. 4.1

Module Title Basic Cellular Biology/ Radiobiology

Credit Points 1.0

Practical Course 16 h Self-Study 14 h

Type of Course Practical Course/ Lab

Turn Yearly

Language English

Contents of Module:

Basics of cell culture Techniques in micro biology Basics of molecular biology techniques (Flowcytometry, PCR, Genetransfer, gene expression

analysis) Learning Objectives: Theoretical and practical basics about cell culture, sterile working, molecular biology methods.

Requirements of Participation/ Required Previous Knowledge: None Useful Previous Knowledge: Basics in Biology and Chemistry

Exam Regulations: data evaluation / presentation / report Formalities Required: no Max. Number of Participants: 40 Other Comments: Block Practical Course

Lecturers: PD Dr. C. Herskind, Prof. Dr. M. Veldwijk, PD Dr. P. Maier Recommended Literature:

Hall, E. J. and Giaccia, A. J. "Radiobiology for the Radiologist" 7th Edition. Lippincott Williams & Wilkins (Philadelphia) 2012. ISBN-13: 978-1-60831-193-4

Joiner, M. and van der Kogel A. (Eds) "Basic Clinical Radiobiology" 4th Edition. Hodder Arnold (London) 2009. ISBN: 978 0 340 929 667

Module 4. Workshops

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Course Nr. 4.2

Module Title MR-Radiology

Credit Points 1.0

Practical Course 16 h Self-Study 14 h

Type of Course Practical Course/ Lab

Turn Yearly

Language English

Contents of Module:

Practical training in image acquisition with MRI (phantom experiments) Characteristics of conventional imaging sequences regarding tissue contrast, artefacts …

(T1, T2) Characteristics of fast imaging sequences

Application of special sequences (angiography, diffusion tensor imaging, functional MRI)

Practical training in MR- spectroscopy Learning Objectives: In-depth exercises in MRI following the theoretical knowledge of module 3.1. The students learn the important applications of MR in medicine. They learn to handle imaging techniques and different contrast modalities as well as gain knowledge in MR- spectroscopy.

Requirements of Participation/ Required Previous Knowledge: successful attendance in module 3.1 Useful Previous Knowledge: general basics in physics and MRI

Exam Regulations: presentation and data evaluation Formalities Required: no Max. Number of Participants: 40 Other Comments: Block Practical Course

Lecturers: Prof. Dr. L. Schad Recommended Literature:

Medical Imaging Physics, Hendee/Ritenour, Wiley-Liss, 2002

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Course Nr. 4.3

Module Title Radiation Protection and Quality Assurance

Credit Points 1.0

Practical Course 16 h Self-Study 14 h

Type of Course Practical Course/ Lab

Turn Yearly

Language English

Contents of Module:

Person dosimetry, radiation protection from architectural side

Practical exercises for quality assurance of workflow and treatment planning system (system geometry, dosimetry)

Dosimetry with different detector systems (ionization chamber, solid state detector, film dosimeter) in different measurement systems (water phantom, water equivalent solid phantom etc.)

Learning Objectives: Practical application of theoretical knowledge by measuring in phantoms for dosimetry and quality assurance.

Requirements of Participation/ Required Previous Knowledge: Participation in courses 2.1, 2.2 and 3.2 Useful Previous Knowledge: Basics in radiation protection / treatment planning / dosimetry / quality assurance

Exam Regulations: data evaluation /report Formalities Required: no Max. Number of Participants: 40 Other Comments: Block Practical Course

Lecturers: Mr. V. Steil, Dr. M. Polednik, Dr. S. Clausen Recommended Literature:

A century in Radiology: http://www.xray.hmc.psu.edu/rci/

Radiotherapy Physics in Practice, Williams/Thwaites, Oxford University Press, 2000

The Physics of Radiation Therapy, Faiz M. Khan, Lippincott, 2003

Practical Radiotherapy Planning, Dobbs/Barrett/Ash, Edwar Arnold, 1999

Radiation Therapy Planning, Bentel, McGraw-Hill, 1995

ESTRO Publications: 1. Monitor Unit Calculation for High Energy Photon Beams 2. Recommendations for a Quality Assurance Programme in External Radiotherapy 3. Practical Guidelines for the Implementation of a Quality System in Radiotherapy

AAPM Radiation Therapy Committee Task Group 53: Quality assurance for clinical radiotherapy treatment planning, Fraas et al., Med Phys Vol. 25, No. 10, October 1998

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Course Nr. 4.4

Module Title Diagnostic Radiology / Image Management

Credit Points 1.0

Practical Course 16 h Self-Study 14 h

Type of Course Practical Course/ Lab

Turn Yearly

Language English

Contents of Module:

Workflow in radiology department

Working with different imaging systems (x-ray and non-x-ray devices)

Practical exercises for a system architecture of image storage and handling

Image transfer techniques, networking, tele-radiology Learning Objectives: Working with imaging systems (CT, MRI), data storage/ management and transfer.

Requirements of Participation/ Required Previous Knowledge: None Useful Previous Knowledge: module 3.7 (Diagnostic Radiology)

Exam Regulations: no Formalities Required: no Max. Number of Participants: 40 Other Comments: Block Practical Course

Lecturers: PD Dr. G. Weisser, Prof. Dr. C. Groden Recommended Literature: Medical Imaging Physics, Hendee/Ritenour, Wiley-Liss, 2002

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Course Nr. 4.10

Module Title Eye Clinics (Mannheim)

Credit Points 1.0

Practical Course 16 h Self-Study 14 h

Type of Course Practical Course/ Lab

Turn Yearly

Language English

Contents of Module:

Practical exercises in SLO, OCT and cornea angiography Learning Objectives: Application of ophthalmologic systems and practical experience in ophthalmologic diagnostic systems.

Requirements of Participation/ Required Previous Knowledge: None Useful Previous Knowledge: None

Exam Regulations: written protocol Formalities Required: no Max. Number of Participants: 40 Other Comments: Block Course

Lecturers: Prof. Dr. H. Krastel, Prof. Dr. S. Beutelsbacher, Prof. Dr. F. Schlichtenbrede Recommended Literature: will be given at the beginning of the lab.

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Course Nr. 4.11

Module Title Nanoscopy Lab (Mainz)

Credit Points 2.0

Practical Course 24 h Self-Study 36 h

Type of Course Practical Course/

Lab

Turn Yearly

Language English

Contents of Module:

Confocal laser scanning microscopy

Spectral precision microscopy

Wavefield microscopy

Signal processing and biological application Learning Objectives: Knowledge about different light-optical microscopes for structure imaging beyond conventional optical resolution.

Requirements of Participation/ Required Previous Knowledge: None Useful Previous Knowledge: None

Exam Regulations: written protocol Formalities Required: no Max. Number of Participants: 40 Other Comments: Block Course

Lecturers: Prof. Dr. C. Cremer, Dr. U. Birk (IMB, University Mainz) Recommended Literature: will be given at the beginning of the lab.

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Course Nr. 4.12

Module Title Matlab Programming Exercise: Preparation for Master Thesis

Credit Points 4.0

Lecture 10 h Self-Study 90 h Preparation for Exam 20 h

Type of Course Lecture /

Practical Course

Turn Yearly

Language English

Contents of Module:

User interfaces

Advanced Matlab programming skills

Typical applications where Matlab is applied in the master thesis Learning Objectives: Advanced programming concepts, should obtain the required programming knowledge required to realize a programming-oriented master thesis.

Requirements of Participation/ Required Previous Knowledge: Basic knowledge of programming in Matlab Useful Previous Knowledge: None

Exam Regulations: yes Exam (written/oral/exercises/report) Formalities Required: no Max. Number of Participants: 40 Other Comments: Block Course

Instructor: Supervisor or co-supervisor for master topic Recommended Literature:

http://www.lmsc.ethz.ch/Teaching/ipss_2010/advancedProgramming.pdf

http://jagger.berkeley.edu/~pack/e177/

http://www.mathworks.cn/programs/downloads/presentations/MasterClassA_AdvancedProgramming.pdf

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Course Nr. 4.13

Module Title C++ Introductory Course

Credit Points 4.0

Lecture 10 h Self-Study 90 h Preparation for Exam 20 h

Type of Course Lecture / Practical Course

Turn Yearly

Language English

Contents of Module:

Simple programming tools (editor, compiler, shell)

Types, variables, operators, combined types

Flow control

Pointer, references, dynamic variables

Classes, methods, attributes, inheritage

IO

STL Learning Objectives: Programming concepts, competence to write simple programs.

Requirements of Participation/ Required Previous Knowledge: Basic knowledge of programming in Matlab Useful Previous Knowledge: C or Java knowledge

Exam Regulations: yes Exam (written/oral/exercises/report) Formalities Required: no Max. Number of Participants: 40 Other Comments: Block Course

Instructor: tbd Recommended Literature:

http://wiki.kip.uni-heidelberg.de/ti/Informatik-Vorkurs/index.php/Main_Page

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Course Nr. 7

Module Title Shanghai Workshop

Credit Points 1.0

Workshop 16 h Self-Study 14 h

Type of Course Workshop

Turn Yearly

Language English

Contents of Module: The schedule of the workshop in Shanghai covers one week. Both Shanghai Jiao Tong University and Mannheim Faculty, University of Heidelberg, provide about 8-hour lectures. The lectures cover the topics:

Radiotherapy, Nuclear Medicine:

Modern Radiation Oncology (Shanghai Jiao Tong University)

Image Guided Radiotherapy (University of Heidelberg)

Hyperthermia (University of Heidelberg)

Biomedical Optics (Shanghai Jiao Tong University) Additionally, the students join the “Annual Sino-German Radiation Oncology Symposium”. Learning Objectives: Inter-institutional interaction on the recent developments and current research activities in Radiotherapy and Biomedical Optics.

Requirements of Participation/ Required Previous Knowledge: None Useful Previous Knowledge: None

Exam Regulations: presentation / oral exam Formalities Required: no Max. Number of Participants: 20 Other Comments: Block Course

Lecturers: Prof. Dr. F. Wenz, Prof. Dr. J. Bille, Prof. Dr. J. Hesser, Prof. Dr. L. Schad, Prof. Dr. G. Glatting Recommended Literature: will be given at the beginning of the workshop.

Module 8.

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Course Nr. 6.6

Module Title General Science Skills

Credit Points 3.0

Workshop 4 h Self-Study 86 h

Type of Course Workshop

Turn Yearly

Language English

Contents of Module: The students receive a topic/theme (i.e. future master thesis topic).

Following the theme, the students work on the state of the art, write a short report and present it.

The students learn how to get new ideas through special techniques like brainstorming. They have to structure these ideas and develop a research plan/proposal. A report has to be written.

A tutor will introduce the students to each task and will guide them through their work. Learning Objectives: The students learn how to plan a scientific work, how to gain information about the state of the art, how to write and review grant proposals and how to gain new ideas in a research field.

Requirements of Participation/ Required Previous Knowledge: None Useful Previous Knowledge: None

Exam Regulations: Presentation / report /protocol Formalities Required: no Max. Number of Participants: 15 Other Comments: Block Workshop

Lecturers: Prof. Dr. G. Glatting, Prof. Dr. J. Sleeman Recommended Literature: Will be given at the beginning of the workshop.

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Module Number

8.1

Module Title

Specialized Lab Project

Credit Points 16.0

Lab 480h Type of Course Scientific Lab Project

Turn Yearly

Language English

Contents of Module The topic depends on the supervising department. Learning Objectives The students learn to work on a scientific project, including e.g. the scientific approach, protocol writing of experiments. Thereafter, they have the knowledge and experience to perform a scientifically oriented master thesis.

Requirements of Participation/Required Previous Knowledge Successful attendance in General Science Skills (module 6.1/2/3 or 6.5) as well as, if possible, another specialized seminar in order to know the basics of planning and control of scientific lab projects. Useful Previous Knowledge None

Exam Regulations: protocol to Practical Course Formalities Required None Max. Number of Participants: 20 Other Comments independent scientific lab project (supervised)

Recommended Literature: Depending on the theme of the project.

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Course Nr. 5

Module Title Master Thesis

Credit Points 30.0

4 months (daily) Type of Course Thesis

Turn Yearly

Language English

Contents of Module: The topic and contents depend on the supervising department. Learning Objectives: The students can work independently on a scientific topic, guided by a tutor. They can search and analyse literature as well as formulate/ organize and perform an experiment.

Requirements of Participation/ Required Previous Knowledge: Successful attendance in all courses 1, 2 and specialized courses from 3 (related to the individual specialization of the student) Useful Previous Knowledge: None

Exam Regulations: Written Thesis, colloquium (public oral presentation with discussion), final oral examination about thesis and whole content of the attended lectures Formalities Required: no Max. Number of Participants: 40 Other Comments: Independent scientific work (supervised)

Recommended Literature: Topic-related.

Module 9.