Information and Computer Engineering

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Curriculum for the master's degree programme in

Information and Computer Engineering

Curriculum 2015

This curriculum was approved by the Curricula Committee of Graz University of Technology in the meeting dated 12.01.2015.¹

(Please note: the English version of this document is a courtesy translation. Only the German version is legally binding.)

On the basis of the Federal Act on the Organisation of Universities and their Studies (UG), Austrian Federal Law Gazette (BGBl.) No. 120/2002 as amended, the Senate of Graz Uni- versity of Technology issues the following curriculum for the master's degree programme in Information and Computer Engineering.

§ 1 General provisions

(1) The engineering sciences master's degree programme in Information and Computer Engineering comprises four semesters. The total scope of the programme is 120 ECTS credit points.

(2) The master's degree programme in Information and Computer Engineering is exclusively held in English according to § 64 para. 6 UG.

(3) Graduates of this programme are awarded the university degree of "Diplom- Ingenieurin"/"Diplom-Ingenieur", abbreviated: "Dipl.-Ing." or "DI". The international equivalent of this university degree is "Master of Science", abbreviated:

"MSc".

(4) Admission to a master's degree programme requires a subject-related bachelor's degree of a university or another equivalent degree according to § 64 para. 5 UG. The master's programme in Information and Computer Engineering is based on the bachelor's degree programme in Information and Computer Engineering offered by TU Graz. Graduates of this degree programme as well as graduates of the bachelor’s degree programme in Telematics offered by TU Graz to date shall be admitted to this master’s degree programme without any further prerequisites.

(5) Depending on the previous education of the applicant to the programme, up to 25 ECTS credit points from the courses of the above bachelor's degree programme in Information and Computer Engineering may be prescribed as part of the admission to the curriculum presented here for graduates of other bachelor's degree programmes. These prescribed courses reduce the workload outlined in the curriculum for achievements in elective subjects or minors accordingly. The details on this can be found in Part 5 of the Annex. The admission rules for selected bachelor's degree programmes are summarised in Part 5 of the Annex. However, a bachelor's degree programme that entitles the student to be admitted must comprise at least 180 ECTS credit points. In order to obtain an overall scope of 300 ECTS credit points for the graduate and postgraduate study programmes together, students shall not be assigned courses in the master's programme which they have already completed as part of their bachelor's degree and which were part of their qualification for the master's degree programme.

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(6) The study programme is completed by writing a master's thesis and passing an examination before a committee according to § 7a below.

§ 2 Object of study programme and qualification profile

(1) Object of study programme

Never before in the history of mankind has there been such a rapid growth of knowledge or the related change in information as has been the case in information technologies. Students of the master’s degree programme in Information and Computer Engineering learn how to handle this phenomenon and to adjust to the necessity of independently and constantly keeping their knowledge up to date.

For this reason, the curriculum aims to provide a great deal of freedom in choos- ing the teaching content, and increases students’ independence and initiative in the way they think, decide and act.

A particular objective of this education is therefore the ability to think, decide and act in an interdisciplinary way, as well as an integrative approach to systems and environmental and social issues, which are gaining in significance, especially with regard to increasing economic and social globalisation.

Information technologies are the bearers and motors of globalisation and the ex- pansion of the English language as the lingua franca of our world. This makes the use of English a natural element of the master’s degree programme in Information and Computer Engineering. Stays abroad are encouraged, international doctoral students are integrated into the field of studies, and professors from the international community enrich the degree programme considerably and contribute to the development of social competence. Projects, lecture activities, written work and teamwork further the development of the corresponding key competencies. Stra- tegic thinking is developed as an integral element of the degree programme.

(2) Qualification profile and skills

Graduates of the master’s degree programme in Information and Computer Engi- neering are prepared for a wide range of challenges and are able to familiarise themselves in a short time with all fields of information and communication technology better than graduates of other, less interdisciplinary master’s degree programmes. Students of the master’s degree programme in Information and Com- puter Engineering who have successfully completed their degree have achieved the following objectives:

Knowledge and understanding Graduates

 have developed an understanding of the relevant basics;

 are familiar with the key theories, principles and methods of information processing and information technology, and have deepened their knowledge in two particular scientific fields of information processing and information technology;

 know the working methods of these fields and are capable of applying these and the scientific basics in a practical way, and

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 know the most important strategies to solve problems.

Knowledge-based application and assessment Graduates

 are able to apply theoretical knowledge of a technical and scientific nature in a practical way;

 have developed skills for interdisciplinary analysis and assessment, and the ability to justify and defend solutions, and

 recognise ethical, social, societal and economic connections and needs.

Communicative, organisational and social competencies Graduates

 are able to acquire new knowledge and to contribute independently to research and development projects;

 have developed an awareness for the necessity of lifelong further education;

 are able to present results both in written form and orally, and to contribute to decision-making processes;

 have basic knowledge of handling projects;

 are able to integrate themselves into a team and to assume subtasks and leadership roles independently, and

 are capable of interdisciplinary cooperation.

(3) Demand for and relevance of the study programme for science and on the job market

Information and telecommunication networks and systems have rapidly and considerably gained in significance in recent decades and are an integral part of new technologies in practically all aspects of science, business and society. Persons with an education in Information and Computer Engineering are consequently ac- tive in a wide range of fields.

Graduates of the master's degree programme in Information and Computer Engi- neering work in the fields of independent modelling, design, implementation, op- eration and assessment of complex hardware and software systems in information technology and telecommunication. Graduates have a broad, detailed and critical understanding of the state of science in several specialised areas.

Career opportunities are diverse as a result of the broad field of activity in computer engineering: in industry, services, public administration, and teaching and research, predominantly in management roles.

§ 3 ECTS credit points

In accordance with the European Credit Transfer and Accumulation System, the individual courses are assigned ECTS credit points that determine the relative share of the workload. The Universities Act (UG) determines the workload for one ECTS credit point to be an average of 25 full hours.

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§ 4 Structure of the study programme

The master's degree programme in Information and Computer Engineering consists of:

1. a major with at least 40 ECTS credit points;

2. a minor with at least 20 ECTS credit points;

3. an elective subject that contains courses with a workload of up to 14 ECTS credit points; the courses are to be selected from the list in § 5a in such a way that the total for the major, minor and elective subject comprises at least 74 ECTS credit points, and a higher number of achievements from Item 1 and 2 reduces the required number of achievements from the elective subject;

4. a seminar/project with a workload of 10 ECTS credit points, which is assignable to the major or the minor;

5. a free-choice subject that contains free-choice courses with a workload of 6 ECTS credit points, and

6. a master’s thesis. The master’s thesis corresponds to 30 ECTS credit points and must be assignable to a technical subject according to § 4.5 below.

Master’s degree programme in Information and Computer Engineering

Major with at least 40 ECTS credit points min. 40 ECTS credit points Minor with at least 20 ECTS credit points min. 20 ECTS credit points Elective subject (assessed together with the minor) max. 14 ECTS credit points Seminar/project (assignable to the major or minor) 10 ECTS credit points

Free-choice subject 6 ECTS credit points

Total workload without master’s thesis 90 ECTS credit points

Master’s thesis 30 ECTS credit points

Total for the master’s degree programme in

Information and Computer Engineering 120 ECTS credit points

§ 5a below contains a list of the individual courses of this master's programme and their allocation to the subjects. The semester allocation is a recommendation and ensures that the sequence of courses builds optimally on previous knowledge and that the workload of an academic year does not exceed 60 ECTS credit points.

Courses that were used to complete the bachelor's degree programme to grant admission to this programme are not part of this master's degree programme. If compulsory courses that are provided for in this curriculum were already used as part of the bachelor's degree programme described above, they are to be replaced by addi- tional elective courses comprising the same workload.

§ 4.1 Mentor

All students must choose a competent mentor for their subject. This mentor supports and advises the student in organising and designing their degree programme, partic- ularly in the informed choice of courses.

The list of mentors is drawn up by the Information and Computer Engineering Curric- ula Committee Working Group and is published on the website of the responsible Dean's Office. If mentors are unable to take on any more students, they have the possibility to refuse supervision of a student, but a competent mentor for the pro- posed subject must always assume the supervision. Students may apply to the Dean

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of Studies for a change of tutor without stating the reasons. If possible, permission shall be given for such applications in consultation with the new mentor who has been chosen.

In the event of conflict, the Dean of Studies will make a decision.

§ 4.2 Choice of major, minor and elective subject

The degree programme in Information and Computer Engineering focuses on the design and analysis of information and communication technology systems. The major and minor constitute advantageous specialisations in Information and Computer Engineering.

During the first semester of the master's degree programme, the catalogues of electives for the major and minor must be stated. These are either catalogues of electives from the list in § 5a or a new catalogue is compiled for one or both of these subjects.

The major shall be selected from the technical catalogues of electives, the minor can be selected from all the catalogues of electives defined in § 5a (catalogues c01–c08, b01), and all courses offered according to § 5a, including the supplementary catalogue, can be selected for the elective subject.

If a new catalogue is compiled, it must be verified by a competent mentor for the subject and shall be submitted to the Dean of Studies via the responsible Dean's Office.

The compulsory courses and/or selected combinations of compulsory elective courses defined in the catalogues of electives in § 5a are always part of the respective subject.

If an individual subject is compiled, the mentor makes a decision on the proposal in consultation with the Dean of Studies and chooses a name for the subject. If there is a difference of less than 10 ECTS credit points compared to a catalogue of electives listed in § 5a, the name may remain the same. All courses selected for an individual subject compilation must be completed.

The choice of a catalogue of electives listed in § 5a can be changed if the reasons are stated. If an individual subject is compiled, the catalogue of electives can only be changed to one listed in § 5a. A change within an individual subject compilation is only possible to guarantee the feasibility of study, for example if a course that is part of the individual subject compilation is unexpectedly not held.

§ 4.3 Lecture-based and exercise-based achievements

The major, minor and elective subject must together have a total workload of at least 33 ECTS credit points from lectures and lecture components of lectures with integrated exercises, and at least 18 ECTS credit points from exercise-based achievements. To calculate these exercise-based achievements, the following shall be used:

the exercise components of lectures with integrated exercises,² exercises, design exercises, laboratory courses, projects and seminars, as well as a maximum of one completed seminar/project in addition to the prescribed seminar/project. The prescribed seminar/project does not count towards the share of exercise-based achievements.

In individual cases, an application can be made for an exception to these restrictions.

2 The lecture and exercise components can be taken from § 7 below.

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§ 4.4 Balance

Within the master's degree programme in Information and Computer Engineering, at least 18 ECTS credit points must be completed from achievements in the field of electrical and information engineering (Faculty of Electrical and Information Engineer- ing), as well as at least 18 ECTS credit points from achievements in information processing (Faculty of Computer Science and Biomedical Engineering as well as the Faculty of Mathematics, Physics and Geodesy). This allocation of ECTS credit points shall be taken from the course number and is explained in more detail in Part 6 of the Annex.

§ 4.5 Master’s thesis

Within the master's degree programme in Information and Computer Engineering, a master's thesis must be written. This must be assignable to one of the catalogues of electives named in § 5a; the catalogue of electives defined as non-technical in § 5a is excluded. When the student begins the thesis, in the case of individual subjects, he/she must make an informed decision with the mentor and the supervisor of the master's thesis to assign the master's thesis to a subject.

If the master's thesis is assigned to a subject other than the major or the minor, this implies a broad education. In this case, students must achieve at least 10 ECTS credit points from the catalogue of electives for the master's thesis. No specialisation shall be shown on the diploma.

§ 5 Course content and semester plan

Master's degree programme in Information and Computer Engineering

Type of

Semester incl.

ECTS

Subject Course SSt course ECTS I II III IV

Seminar/project 6 SP 10 10

Total for the major, minor and elective

subjects according to § 5a below 74 30 30 14 0

Master's thesis 30 30

Free-choice subject according to §

5b below 6 0 0 6 0

Total 120 30 30 30 30

Abbreviation: SSt = semester hours

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§ 5a Catalogues of free electives

The following table contains the elective subjects for the master's degree programme in Information and Com- puter Engineering. The table is structured as follows:

1st line of each subject: number, name of the subject Columns:

1st column: the number of the institute offering the course (this information is subject to change) 2nd column: name of the course

3rd column: semester hours (SSt) 4th column: type of course (CT)

5th column: ECTS credit points in the master's degree programme in Information and Computer Engineering 6th column: compulsory course (course must be completed if the subject is chosen)

compulsory elective course (at least 2 alternatives can be selected if the subject is chosen) The table contains those seminar projects that are automatically assigned to the subject; seminar projects from other institutes can be assigned to the subject after discussing them with the mentor.

The list of university teachers responsible for the subject and the corresponding list of mentors is compiled by the Information and Computer Engineering Curricula Committee Working Group and is available on the website of the Dean's Office for the Faculty of Computer Science and Biomedical Engineering (www.dinf.tugraz.at).

c01 Secure and Correct Systems SSt CT ECTS

705 Advanced Computer Networks 2 VO 3.0 Comp. elective

705 Advanced Computer Networks 1 KU 2.0 Comp. elective

705 Applied Cryptography 2 VO 3.0 Comp. elective

705 Applied Cryptography 1 KU 2.0 Comp. elective

705 Applied Cryptography 2 2 VO 3.0

705 Applied Cryptography 2 1 KU 2.0

716 Compiler Construction 2 VO 3.0 Comp. elective

716 Compiler Construction 1 KU 2.0 Comp. elective

705 Digital System Design 2 VO 3.0

705 Digital System Design 1 KU 2.0

705 Embedded Security 3 VU 5.0

448 Fault-Tolerant Computing Systems 2 VO 3.0

448 Fault-Tolerant Computing Systems 1 UE 2.0

448 Industrial Software Development and Quality Management 2 VO 3.0 448 Industrial Software Development and Quality Management 1 UE 1.5

705 IT Security 2 VO 3.0 Comp. elective

705 IT Security 1 KU 2.0 Comp. elective

705 Logic and Computability 2 VO 3.0

705 Logic and Computability 1 KU 1.5

716 Logic and Logic Programming 2 VU 3.5

501 Mathematical Foundations of Cryptography 2 VO 3.0 501 Mathematical Foundations of Cryptography 1 UE 2.0

716 Problem Analysis and Complexity Theory 3 VU 5.0

716 Quality Assurance in Software Development 2 VU 2.5 705 Security Aspects in Software Development 2 VO 3.0 705 Security Aspects in Software Development 1 KU 2.0

705 Selected Topics Design and Verification 2 VO 3.0

705 Selected Topics Design and Verification 1 UE 2.0

705 Selected Topics IT Security 1 2 VO 3.0

705 Selected Topics IT Security 1 1 KU 2.0

705 Selected Topics IT Security 2 2 SE 3.5

716 Selected Topics Software Technology 1 2 VO 3.0

716 Selected Topics Software Technology 1 1 UE 2.0

716 Selected Topics Software Technology 2 2 VO 3.0

716 Selected Topics Software Technology 2 1 UE 2.0

716 Software Paradigms 3 VU 5.0

716 Software Technology 3 VU 5.0 Comp. elective

716 Software Technology Tools 2 SE 3.5

716 Software Technology, Seminar 2 SE 3.5

716 Software-Maintenance 3 VU 4.5

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705 Verification and Testing 2 VO 3.0 Comp. elective

705 Verification and Testing 1 UE 2.0 Comp. elective

Total ECTS 120.0

Selection of compulsory courses

For the major, students must complete four of the six compulsory elective courses (VU or VO+KU/UE).

For the minor, they must complete two of the six compulsory elective courses (VU or VO+KU/UE).

705 Seminar Project Applied Information Processing 6 SP 10.0

716 Seminar Project Software Technology 6 SP 10.0

c02 Computer Vision and Graphics SSt CT ECTS

710 Augmented Reality 3 VU 5.0 Compulsory

710 Computer Graphics 2 1.5 VU 2.5 Compulsory

710 Computer Vision 2 1.5 VU 2.5 Compulsory

711 Computer-Aided Geometric Design 3 VU 5.0

716 Design and Analysis of Algorithm 2 VO 3.0

716 Design and Analysis of Algorithm 1 KU 1.5

507 Discrete Differential Geometry 2 VO 3.0

507 Freeform curves and surfaces 2 VO 3.0

507 Freeform curves and surfaces 1 UE 1.5

711 Geometric 3D-Modelling in Computer Graphics 3 VU 5.0

438 Image-Based Measurement 2 VO 3.0

438 Image-Based Measurement, Laboratory 1 LU 2.0

710 Image Processing and Pattern Recognition 2 VO 3.0 Compulsory 710 Image Processing and Pattern Recognition 1 KU 2.0 Compulsory

710 Image Understanding 2 VO 3.0

710 Image Understanding 1 KU 2.0

706 Information Visualisation 3 VU 5.0

710 Mathematical Principles in Vision and Graphics 3 VU 5.0

710 Medical Image Analysis 2 VO 3.0

710 Medical Image Analysis 1 KU 2.0

710 Optimization for Computer Science 2 VO 3.0

710 Optimization for Computer Science 1 UE 2.0

710 Pattern Recognition, Seminar 3 SE 5.0

711 Photo Realism 3 VU 5.0

710 Real-Time Graphics 2 VO 3.0 Comp. elective

710 Real-Time Graphics 1 KU 2.0 Comp. elective

710 Real-Time Graphics 2 1 VO 1.5

710 Real-Time Graphics 2 2 KU 4.0

710 Research Seminar Virtual Reality 2 SE 3.5

710 Robot Vision 2 VO 3.0 Comp. elective

710 Robot Vision 1 KU 2.0 Comp. elective

710 Selected Topics Computer Graphics 2 VO 3.0

710 Selected Topics Computer Graphics 1 KU 2.0

710 Selected Topics Computer Vision 2 VO 3.0

710 Selected Topics Computer Vision 1 KU 2.0

711 Simulation and Animation 3 VU 5.0

710 Virtual Reality 4 VU 7.0

Total ECTS 118.0

For the major, students must complete all of the compulsory courses and one of the compulsory elective courses (each VO with KU). For the minor, they must either complete the combination of Image Pro- cessing and Pattern Recognition (VO+KU), Computer Vision 2 VU, and Robot Vision VO or the combination of Augmented Reality VU, Computer Graphics 2 VU, and Real-Time Graphics VO.

711 Seminar Project Computer Graphics 6 SP 10.0

710 Seminar Project Image Analysis 6 SP 10.0

c03 Robotics and Computational Intelligence SSt CT ECTS

442 Adaptive Systems 2 VO 3.0

442 Adaptive Systems 1 UE 2.0

716 Advanced Robotics 2 VO 3.0

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716 Advanced Robotics 1 LU 2.0

443 Automation of Mechatronic Systems 2 VO 3.0

443 Automation of Mechatronic Systems, Laboratory 1 LU 2.0

442 Computational Intelligence 2 VO 3.0 Compulsory

708 Computational Intelligence 1 UE 1.5 Compulsory

708 Computational Intelligence Seminar A 2 SE 3.5

708 Computational Intelligence Seminar B 2 SE 3.5

716 Construction of Mobile Robots 2 PR 5.0

431 Control of Electric Drives and Machines 2 VO 3.0

431 Control of Electric Drives and Machines, Laboratory 2 LU 3.0

716 Expert Systems 2 VO 3.0

716 Expert Systems 1 KU 2.0

508 Integrated Navigation 2 VO 3.0

508 Integrated Navigation 1 UE 1.5

431 Introduction to Electric Drive Systems 1.5 VO 2.0

507 Kinematics and Robotics 2 VO 3.0

507 Kinematics and Robotics 1 LU 2.0

708 Machine Learning 2 VO 3.0 Comp. elective

708 Machine Learning 1 KU 2.0 Comp. elective

708 Autonomously Learning Systems 2 VO 3.0 Comp. elective

708 Autonomously Learning Systems 1 KU 2.0 Comp. elective

437 Methods of Simulation of Mechatronic Systems 2 VO 3.0 437 Methods of Simulation of Mechatronic Systems 1 UE 1.5

305 Mobile Robots 2 VO 3.0 Compulsory

305 Mobile Robots 1 UE 2.0 Compulsory

431 Modelling and Simulation of Electric Drive Systems and Machines 2 VO 3.0 431 Modelling and Simulation of Electric Drive Systems and Machines 2 LU 3.0

716 Modelling Technical Systems 2 VO 3.0

716 Modelling Technical Systems 1 UE 2.0

508 Navigation Systems 2 VU 3.0

708 Neural Networks 2 VO 3.0 Comp. elective

708 Neural Networks 1 KU 2.0 Comp. elective

708 Principles of Brain Computation 2 VO 3.0 Comp. elective

708 Principles of Brain Computation 1 KU 2.0 Comp. elective

442 Nonlinear Signal Processing 2 VO 3.0 Compulsory

442 Nonlinear Signal Processing 1 UE 2.0 Compulsory

716 Recommender Systems 2 VU 3.0

710 Robot Vision 2 VO 3.0

710 Robot Vision 1 KU 2.0

442 Selected Topics Robotics and Computational Intelligence 2 SE 3.5

443 State Estimation and Filtering 2 VO 3.0

443 State Estimation and Filtering 1 UE 2.0

Total ECTS 119.0

For the major, students must complete all of the compulsory courses and either Machine Learning or Autonomously Learning Systems, and either Neural Networks or Principles of Brain Computation (each VO with KU). For the minor, they must complete Computational Intelligence (VO+UE) and one of the other compulsory or compulsory elective courses (each VO with UE/KU).

708 Seminar Project Machine Learning and Neuroinformatics 6 SP 10.0

716 Seminar Project Robotics 6 SP 10.0

442 Seminar Project Signal Processing 6 SP 10.0

c04 Signal Processing and Human Communication SSt CT ECTS

442 Adaptive Systems 2 VO 3.0 Compulsory

442 Adaptive Systems 1 UE 2.0 Compulsory

442 Advanced Signal Processing 1, Seminar 2 SE 3.5

442 Advanced Signal Processing 2, Seminar 2 SE 3.5

K17 Algorithms in Acoustics and Computer Music 01 2 VO 3.0 K17 Algorithms in Acoustics and Computer Music 01 1 UE 1.5

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717 Biosignal Processing 2 VO 3.0

717 Biosignal Processing 2 UE 2.5

709 Cognitive Neuroscience 2 VO 3.0

709 Computational Biology 2 LU 2.0

709 Computational Biology 2 VO 3.0

442 Digital Audio Engineering 1 2 VO 3.0

442 Digital Audio Engineering 2 2 VO 3.0

442 Digital Audio Engineering, Laboratory 2 LU 3.0

442 Digital Signal Processing Laboratory 2 LU 4.0

709 Information Processing in Humans 2 VO 3.0

442 Linguistic Foundations of Speech and Language Technology 2 VO 3.0

709 Methods of Functional Brain Research 2 VO 3.0

442 Mixed-Signal Processing Systems Design 2 VU 3.5

708 Principles of Brain Computation 2 VO 3.0

708 Principles of Brain Computation 1 KU 2.0

709 Neurocomputing, Seminar 2 SE 3.5

709 Non-Invasive Brain-Computer Interfaces 2 KU 3.0 Comp. elective 709 Non-Invasive Brain-Computer Interfaces 2 VO 3.0 Comp. elective

442 Nonlinear Signal Processing 2 VO 3.0

442 Nonlinear Signal Processing 1 UE 2.0

K17 Psychoacoustics 01 2 VO 3.0

K17 Psychoacoustics 02 2 VO 3.0

709 Rehabilitation Engineering 2 VO 3.0

442 Selected Topics Signal, Biosignal and Speech Processing 2 SE 3.5

438 Signal Analysis 2 VO 3.0 Compulsory

438 Signal Analysis 1 UE 2.0 Compulsory

438 Signal Analysis, Laboratory 2 LU 4.0

448 Signal Processors 2 VO 3.0

448 Signal Processors, Laboratory 1 LU 2.0

442 Speech Communication 1 2 VO 3.0 Comp. elective

442 Speech Communication 2 2 VO 3.0

442 Speech Communication Laboratory 2 LU 4.0 Comp. elective

442 Spoken Language in Human and Human-Computer Dialogue 2 VU 3.5

438 Statistical Signal Processing 2 VO 3.0 Comp. elective

438 Statistical Signal Processing 1 UE 2.0 Comp. elective

Total ECTS 120.0

For the major, students must complete all of the compulsory courses and either Non-Invasive Brain- Computer Interfaces (VO + KU), or Statistical Signal Processing (VO+UE), or Speech Communication 1 VO and Speech Communication Laboratory. For the minor, they must complete all of the compulsory courses.

709 Seminar Project Brain-Computer Interface 6 SP 10.0

442 Seminar Project Signal Processing 6 SP 10.0

442 Seminar Project Speech Communication 6 SP 10.0

c05 Communications and Mobile Computing SSt CT ECTS

442 Adaptive Systems 2 VO 3.0

442 Adaptive Systems 1 UE 2.0

451 Antennas and Wave Propagation 2 VO 3.0

451 Antennas and Wave Propagation 1 UE 2.0

451 Applied Microwave Systems 2 VO 3.0

440 Communication Systems, Laboratory 1 LU 2.0

437 Computational Electromagnetics 2 VO 3.0

448 Context-Aware Computing 2 VO 3.0 Comp. elective

448 Context-Aware Computing 1 UE 2.0 Comp. elective

437 Electrodynamics ICE 2 VO 3.0 Compulsory

437 Electrodynamics ICE 1 UE 1.5 Compulsory

442 Fundamentals of Digital Communications 2 VO 3.0 Comp. elective

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442 Fundamentals of Digital Communications 1 UE 2.0 Comp. elective

451 HF-Engineering 2 VO 3.0

451 HF-Engineering 1 UE 2.0

451 HF-Engineering, Laboratory 1 LU 2.0

440 Information Theory and Coding 2 VO 3.0 Comp. elective

440 Information Theory and Coding 1 UE 2.0 Comp. elective

451 Introduction to Microwave Engineering 2 VO 3.0 Comp. elective 451 Introduction to Microwave Engineering 1 UE 2.0 Comp. elective

448 Mobile Computing, Laboratory 2 LU 3.5

448 Mobile Computing, Seminar 3 SE 5.0 Compulsory

442 Mobile Radio Systems 2 VO 3.0

437 Numerical Optimization 2 VO 3.0

437 Numerical Optimization 1 UE 2.0

451 Optoelectronical Communication Engineering 3 VO 4.5 451 Optoelectronical Communication Engineering 1 UE 2.0

448 Power-Aware Computing 2 VU 3.0

448 Power-Aware Computing, Laboratory 1 LU 2.0

451 Radar Seminar 1.5 SE 2.5

451 Introduction to Radar Systems 2 VO 3.0

440 Satellite Communications 2 VO 3.0

440 Satellite Communications 1 UE 2.0

448 Selected Topics Communications and Mobile Computing 2 SE 3.5

448 Sensor Networks 2 VU 3.0

448 Sensor Networks, Laboratory 2 LU 3.5

437 Simulation of Time-Dependent Fields 2 VO 3.0

437 Simulation of Time-Dependent Fields 1 UE 2.0

451 Smart Antennas 2 VU 3.5

448 Smart Service Development 2 VO 3.0

448 Smart Service Development 1 UE 1.5

440 Software Defined Radio 2 VO 3.0

440 Telecommunication Systems 2 VO 3.0

440 Wireless Communication Networks and Protocols 1 VO 1.5

Total ECTS 118.5

For the major, students must complete all of the compulsory courses and two of the four compulsory elective courses (each VO with UE). For the minor, they must complete Electrodynamics ICE (VO + UE) and either one of the four compulsory elective courses (VO+UE) or Mobile Computing, Seminar.

437 Seminar Project Computational Electrodynamics 6 SP 10.0

448 Seminar Project Technical Informatics 6 SP 10.0

440 Seminar Project Telecommunications 6 SP 10.0

c06 Embedded and Automotive Systems SSt CT ECTS

448 Selected Topics Embedded and Automotive Systems 2 SE 3.5

439 Automotive Electronics 2 VO 3.0

439 Automotive Electronics, Laboratory 2 LU 3.0

331 Automotive Engineering for Embedded Automotive Systems 2 VO 3.0 Comp. elective

438 Automotive Measurement 2 VO 3.0

438 Automotive Measurement, Laboratory 1 LU 2.0

438 Automotive Sensors and Actuators 2 VO 3.0

438 Automotive Sensors and Actuators, Laboratory 2 LU 4.0

448 Design of Real-Time Systems, Laboratory 2 LU 4.0

448 Design Patterns 2 VO 3.0

448 Design Patterns 1 UE 2.0

448 Distributed Embedded Systems, Seminar 3 SE 5.0 Compulsory

261 Dynamical Systems 3 VU 5.0 Comp. elective

439 Electromagnetic Compatibility of Electronic Systems 2 VO 3.0 439 Electromagnetic Compatibility of Electronic Systems Laboratory 1 LU 2.0

448 Embedded Automotive Software 2 VU 3.5 Comp. elective

448 Embedded Systems 2 VO 3.0 Compulsory

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448 Embedded Systems, Laboratory 1 LU 2.0 Compulsory

448 Fault-Tolerant Computing Systems 2 VO 3.0

448 Fault-Tolerant Computing Systems 1 UE 2.0

448 Industrial Software Development and Quality Management 2 VO 3.0 448 Industrial Software Development and Quality Management 1 UE 1.5

331 Innovative Power Trains 2 VO 3.0

431 Introduction to Electric Machines 2 VO 3.0

448 Microcontroller Design, Laboratory 4 LU 6.0

438 On-Board Diagnosis 2 VO 3.0

438 On-Board Diagnosis, Laboratory 1 LU 1.5

313 Piston Engines, Introduction 2 VO 3.0

443 Process Automation 2 VO 3.0

443 Process Automation, Laboratory 2 LU 4.0

438 Process Instrumentation 2 VO 3.0

438 Process Instrumentation, Laboratory 2 LU 4.0

448 Real-Time Bus Systems 1 VO 1.5

448 Real-Time Bus Systems, Laboratory 1 LU 2.0

448 Real-Time Operating Systems 2 VO 3.0 Comp. elective

448 Real-Time Operating Systems 1 LU 1.5 Comp. elective

438 Testing and Verification Methods for Distributed Software Systems 2 VO 3.0

313 Introduction to Thermodynamics 2 VO 3.0

438 Vibration Measurement 2 VO 3.0

438 Vibration Measurement, Laboratory 1 LU 2.0

Total ECTS 119.0

For the major, students must complete all of the compulsory courses and additionally at least 9 ECTS credit points from the compulsory elective courses (each VO with LU if available). For the minor, they must complete Embedded Systems (VO+LU) and additionally at least 4.5 ECTS credit points (each VO with LU if available).

439 Seminar Project Electronics 6 SP 10.0

438 Seminar Project Measurement Techniques 6 SP 10.0

448 Seminar Project Technical Informatics 6 SP 10.0

c07 Measurement and Control Systems SSt CT ECTS

443 Automatic Control, Supplement 2 VO 3.0

443 Basics of Nonlinear Control Systems 1 UE 2.0 Compulsory

443 Basics of Nonlinear Control Systems 2 VO 3.0 Compulsory

443 Computer-Aided Control System Design 2 VO 3.0

443 Computer-Aided Control System Design 2 UE 4.0

443 Computer-Aided System Modelling and Simulation 2 VO 3.0 443 Computer-Aided System Modelling and Simulation 1 UE 2.0

443 Control Systems 2 2 VO 3.0 Compulsory

443 Control Systems 2 1 UE 1.5 Compulsory

443 Descriptor Systems 2 VU 3.5

443 Design of Optimal Systems 2 VO 3.0

443 Design of Optimal Systems 1 UE 2.0

443 Mathematics for Engineers 2 VO 3.0

443 Mathematics for Engineers 1 UE 2.0

438 Measurement 2 2 VO 3.0

438 Measurement Signal Processing 2 VO 3.0

438 Measurement Signal Processing, Laboratory 2 LU 4.0

443 Mechatronic Systems Modelling 2 VO 3.0

443 Mechatronic Systems Modelling 1 UE 2.0

448 Microcontroller 1.5 VO 2.0

448 Microcontroller 2 UE 3.0

431 Modelling and Simulation of Electric Drive Systems and Machines 2 VO 3.0 431 Modelling and Simulation of Electric Drive Systems and Machines 2 LU 3.0

443 Multivariable Systems 2 VO 3.0

443 Multivariable Systems 1 UE 2.0

(14)

443 Nonlinear Control Systems 2 VO 3.0

443 Nonlinear Control Systems 1 UE 2.0

437 Numerical Optimization 2 VO 3.0

437 Numerical Optimization 1 UE 2.0

438 Optical Measurement Principles 2 VO 3.0

438 Physical Effects for Sensors 2 VO 3.0

443 Process Automation 2 VO 3.0 Compulsory

443 Process Automation, Laboratory 2 LU 4.0 Compulsory

438 Process Instrumentation 2 VO 3.0

438 Process Instrumentation, Laboratory 2 LU 4.0

443 Selected Topics Measurement and Control Design 2 SE 3.5

443 State Estimation and Filtering 2 VO 3.0

443 State Estimation and Filtering 1 UE 2.0

443 System Theory 2 VO 3.0

443 System Theory 1 UE 2.0

Total ECTS 112.5

For the major, students must complete all compulsory courses. For the minor, they must complete Control Systems 2 (VO+UE) and Basics of Nonlinear Control Systems (VO+UE).

439 Seminar Project Electronics 6 SP 10.0

438 Seminar Project Measurement Techniques 6 SP 10.0

443 Seminar Project Modelling, Simulation, and Control 6 SP 10.0

c08 Microelectronics and IC Design SSt CT ECTS

439 Advanced Analog IC Design 1 3 VU 4.5

439 Advanced Analog IC Design 2 3 VU 4.5

439 Analog Circuit Laboratory 3 LU 4.0

439 Analog IC Design 1 2 VO 3.0 Compulsory

439 Analog IC Design 1 2 UE 3.0 Compulsory

439 Analog IC Design 2 2 VO 3.0 Comp. elective

439 Analog IC Design 2 2 UE 3.0 Comp. elective

439 Analog IC Layout 1 2 UE 3.5

439 Analog IC Layout 2 1 VU 1.5

439 Basics of Microelectronics 2 VO 3.0

439 Circuit Simulation 1 VO 1.5 Comp. elective

439 Circuit Simulation 2 UE 3.0 Comp. elective

439 Compact Modelling and Robust IC Design 1 VU 1.5

439 Development of Electronic Systems 4 VO 6.0

439 Digital Circuit Laboratory 3 LU 4.0

705 Digital System Design 2 VO 3.0 Compulsory

705 Digital System Design 1 KU 2.0 Compulsory

439 Electromagnetic Compatibility of Electronic Systems 2 VO 3.0 439 Electromagnetic Compatibility of Electronic Systems Laboratory 1 LU 2.0

439 Electromagnetic Compatibility of ICs 1 VO 1.5

439 Evaluation of ICs Laboratory 3 LU 4.5

448 Hardware Description Languages 2 VO 3.0

448 Hardware Description Languages 1 UE 1.5

448 Hardware-Software-Codesign 2 VO 3.0

448 Hardware-Software-Codesign 1 UE 2.0

439 IC Design Fundamentals 2 VO 3.0 Comp. elective

439 IC Design Fundamentals 2 UE 3.0 Comp. elective

439 IC Design Project Management and Quality 1 VO 1.5 439 Methods for IC Evaluation and Failure Analysis 2 VU 3.0

438 Micro-Electromechanical Systems 2 VO 3.0

451 Microwave Measurement 2 VU 3.0

439 Noise and Crosstalk in ICs 2 VU 3.0

513 Physics of Semiconductor Devices 2 VO 3.0

439 Practical Analog Circuit Design 2 UE 3.0

439 Practical Analog Circuit Design, Laboratory 2 LU 2.0

Information and Computer Engineering

Curriculum for the master's degree programme in