Graz University of Technology
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 University of Technology issues the following curriculum for the master's degree programme in
Information and Computer Engineering.
Table of contents
Master's degree programme in Information and Computer Engineering .................... 1
§ 1 General provisions ............................................................................................ 2
§ 2 Object of study programme and qualification profile ......................................... 3
§ 3 ECTS credit points ............................................................................................ 4
§ 4 Structure of the study programme ..................................................................... 5
§ 5 Course content and semester plan ................................................................... 7
§ 5a Catalogues of free electives ............................................................................ 8
§ 5b Free-choice subject ....................................................................................... 17
§ 6 Admission to examinations ............................................................................. 17
§ 7 Examination regulations .................................................................................. 18
§ 7a Final examination before a committee .......................................................... 19
§ 7b Diploma ......................................................................................................... 20
§ 8 Transitional provisions .................................................................................... 20
§ 9 Legal validity ................................................................................................... 20
1
The date of approval refers to the German version of this curriculum.
Master’s degree programme in Information and Computer Engineering
Curriculum 2015
Page 1 of 36
Graz University of Technology
Annex to the curriculum of the master's degree programme in Information and
Computer Engineering .............................................................................................. 21
Subject descriptions ............................................................................................. 21
Recognition and equivalence list........................................................................... 24
Recommended free-choice courses ..................................................................... 31
Types of courses offered by TU Graz .................................................................. 32
Admission to the study programme ....................................................................... 33
Balance ................................................................................................................ 35
Definitions ............................................................................................................ 35
§ 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 "DiplomIngenieurin"/"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.
Master’s degree programme in Information and Computer Engineering
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Graz University of Technology
(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 choosing 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 expansion 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. Strategic 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 Engineering 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 Computer 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
Master’s degree programme in Information and Computer Engineering
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Graz University of Technology

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 active in a wide range of fields.
Graduates of the master's degree programme in Information and Computer Engineering work in the fields of independent modelling, design, implementation, operation 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.
Master’s degree programme in Information and Computer Engineering
Curriculum 2015
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Graz University of Technology
§ 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
120 ECTS credit points
Information and Computer Engineering
§ 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 additional 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, particularly in the informed choice of courses.
The list of mentors is drawn up by the Information and Computer Engineering Curricula 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 proposed subject must always assume the supervision. Students may apply to the Dean
Master’s degree programme in Information and Computer Engineering
Curriculum 2015
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Graz University of Technology
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.
Master’s degree programme in Information and Computer Engineering
Curriculum 2015
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Graz University of Technology
§ 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 Engineering), 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
Subject
Course
Seminar/project
Total for the major, minor and elective
subjects according to § 5a below
Master's thesis
Free-choice subject according to §
5b below
Total
SSt
6
course
SP
ECTS
10
I
74
30
Semester incl.
ECTS
II
III
10
30
14
30
IV
0
30
6
0
0
6
0
120
30
30
30
30
Abbreviation: SSt = semester hours
Master’s degree programme in Information and Computer Engineering
Curriculum 2015
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Graz University of Technology
§ 5a Catalogues of free electives
The following table contains the elective subjects for the master's degree programme in Information and Computer 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
705
705
705
705
705
705
716
716
705
705
705
448
448
448
448
705
705
705
705
716
501
501
716
716
705
705
705
705
705
705
705
716
716
716
716
716
716
716
716
716
Secure and Correct Systems
Advanced Computer Networks
Advanced Computer Networks
Applied Cryptography
Applied Cryptography
Applied Cryptography 2
Applied Cryptography 2
Compiler Construction
Compiler Construction
Digital System Design
Digital System Design
Embedded Security
Fault-Tolerant Computing Systems
Fault-Tolerant Computing Systems
Industrial Software Development and Quality Management
Industrial Software Development and Quality Management
IT Security
IT Security
Logic and Computability
Logic and Computability
Logic and Logic Programming
Mathematical Foundations of Cryptography
Mathematical Foundations of Cryptography
Problem Analysis and Complexity Theory
Quality Assurance in Software Development
Security Aspects in Software Development
Security Aspects in Software Development
Selected Topics Design and Verification
Selected Topics Design and Verification
Selected Topics IT Security 1
Selected Topics IT Security 1
Selected Topics IT Security 2
Selected Topics Software Technology 1
Selected Topics Software Technology 1
Selected Topics Software Technology 2
Selected Topics Software Technology 2
Software Paradigms
Software Technology
Software Technology Tools
Software Technology, Seminar
Software-Maintenance
Master’s degree programme in Information and Computer Engineering
Curriculum 2015
SSt
2
1
2
1
2
1
2
1
2
1
3
2
1
2
1
2
1
2
1
2
2
1
3
2
2
1
2
1
2
1
2
2
1
2
1
3
3
2
2
3
CT
VO
KU
VO
KU
VO
KU
VO
KU
VO
KU
VU
VO
UE
VO
UE
VO
KU
VO
KU
VU
VO
UE
VU
VU
VO
KU
VO
UE
VO
KU
SE
VO
UE
VO
UE
VU
VU
SE
SE
VU
ECTS
3.0
2.0
3.0
2.0
3.0
2.0
3.0
2.0
3.0
2.0
5.0
3.0
2.0
3.0
1.5
3.0
2.0
3.0
1.5
3.5
3.0
2.0
5.0
2.5
3.0
2.0
3.0
2.0
3.0
2.0
3.5
3.0
2.0
3.0
2.0
5.0
5.0
3.5
3.5
4.5
Comp. elective
Comp. elective
Comp. elective
Comp. elective
Comp. elective
Comp. elective
Comp. elective
Comp. elective
Comp. elective
Page 8 of 36
Graz University of Technology
705 Verification and Testing
705 Verification and Testing
2
1
VO
UE
3.0
2.0
Comp. elective
Comp. elective
120.0
Total ECTS
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).
6
SP 10.0
705 Seminar Project Applied Information Processing
716 Seminar Project Software Technology
6
SP 10.0
c02
710
710
710
711
716
716
507
507
507
711
438
438
710
710
710
710
706
710
710
710
710
710
710
711
710
710
710
710
710
710
710
710
710
710
710
711
710
Computer Vision and Graphics
Augmented Reality
Computer Graphics 2
Computer Vision 2
Computer-Aided Geometric Design
Design and Analysis of Algorithm
Design and Analysis of Algorithm
Discrete Differential Geometry
Freeform curves and surfaces
Freeform curves and surfaces
Geometric 3D-Modelling in Computer Graphics
Image-Based Measurement
Image-Based Measurement, Laboratory
Image Processing and Pattern Recognition
Image Processing and Pattern Recognition
Image Understanding
Image Understanding
Information Visualisation
Mathematical Principles in Vision and Graphics
Medical Image Analysis
Medical Image Analysis
Optimization for Computer Science
Optimization for Computer Science
Pattern Recognition, Seminar
Photo Realism
Real-Time Graphics
Real-Time Graphics
Real-Time Graphics 2
Real-Time Graphics 2
Research Seminar Virtual Reality
Robot Vision
Robot Vision
Selected Topics Computer Graphics
Selected Topics Computer Graphics
Selected Topics Computer Vision
Selected Topics Computer Vision
Simulation and Animation
Virtual Reality
SSt
3
1.5
1.5
3
2
1
2
2
1
3
2
1
2
1
2
1
3
3
2
1
2
1
3
3
2
1
1
2
2
2
1
2
1
2
1
3
4
CT
VU
VU
VU
VU
VO
KU
VO
VO
UE
VU
VO
LU
VO
KU
VO
KU
VU
VU
VO
KU
VO
UE
SE
VU
VO
KU
VO
KU
SE
VO
KU
VO
KU
VO
KU
VU
VU
ECTS
5.0
2.5
2.5
5.0
3.0
1.5
3.0
3.0
1.5
5.0
3.0
2.0
3.0
2.0
3.0
2.0
5.0
5.0
3.0
2.0
3.0
2.0
5.0
5.0
3.0
2.0
1.5
4.0
3.5
3.0
2.0
3.0
2.0
3.0
2.0
5.0
7.0
Compulsory
Compulsory
Compulsory
Compulsory
Compulsory
Comp. elective
Comp. elective
Comp. elective
Comp. elective
Total ECTS
118.0
Selection of compulsory courses
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 Processing 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
442
442
716
Robotics and Computational Intelligence
Adaptive Systems
Adaptive Systems
Advanced Robotics
Master’s degree programme in Information and Computer Engineering
Curriculum 2015
SSt
2
1
2
CT
VO
UE
VO
ECTS
3.0
2.0
3.0
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Graz University of Technology
716
443
443
442
708
708
708
716
431
431
716
716
508
508
431
507
507
708
708
708
708
437
437
305
305
431
431
716
716
508
708
708
708
708
442
442
716
710
710
442
443
443
1
LU
2.0
Advanced Robotics
2
VO
3.0
Automation of Mechatronic Systems
1
LU
2.0
Automation of Mechatronic Systems, Laboratory
2
VO
3.0 Compulsory
Computational Intelligence
1
UE
1.5 Compulsory
Computational Intelligence
2
SE
3.5
Computational Intelligence Seminar A
2
SE
3.5
Computational Intelligence Seminar B
2
PR
5.0
Construction of Mobile Robots
2
VO
3.0
Control of Electric Drives and Machines
2
LU
3.0
Control of Electric Drives and Machines, Laboratory
2
VO
3.0
Expert Systems
1
KU
2.0
Expert Systems
2
VO
3.0
Integrated Navigation
1
UE
1.5
Integrated Navigation
1.5 VO
2.0
Introduction to Electric Drive Systems
2
VO
3.0
Kinematics and Robotics
1
LU
2.0
Kinematics and Robotics
2
VO
3.0 Comp. elective
Machine Learning
1
KU
2.0 Comp. elective
Machine Learning
2
VO
3.0 Comp. elective
Autonomously Learning Systems
1
KU
2.0 Comp. elective
Autonomously Learning Systems
2
VO
3.0
Methods of Simulation of Mechatronic Systems
1
UE
1.5
Methods of Simulation of Mechatronic Systems
2
VO
3.0 Compulsory
Mobile Robots
1
UE
2.0 Compulsory
Mobile Robots
2
VO
3.0
Modelling and Simulation of Electric Drive Systems and Machines
2
LU
3.0
Modelling and Simulation of Electric Drive Systems and Machines
2
VO
3.0
Modelling Technical Systems
1
UE
2.0
Modelling Technical Systems
2
VU
3.0
Navigation Systems
2
VO
3.0 Comp. elective
Neural Networks
1
KU
2.0 Comp. elective
Neural Networks
2
VO
3.0 Comp. elective
Principles of Brain Computation
1
KU
2.0 Comp. elective
Principles of Brain Computation
2
VO
3.0 Compulsory
Nonlinear Signal Processing
1
UE
2.0 Compulsory
Nonlinear Signal Processing
2
VU
3.0
Recommender Systems
2
VO
3.0
Robot Vision
1
KU
2.0
Robot Vision
2
SE
3.5
Selected Topics Robotics and Computational Intelligence
2
VO
3.0
State Estimation and Filtering
1
UE
2.0
State Estimation and Filtering
119.0
Total ECTS
Selection of compulsory courses
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
442
442
442
442
K17
K17
Signal Processing and Human Communication
Adaptive Systems
Adaptive Systems
Advanced Signal Processing 1, Seminar
Advanced Signal Processing 2, Seminar
Algorithms in Acoustics and Computer Music 01
Algorithms in Acoustics and Computer Music 01
Master’s degree programme in Information and Computer Engineering
Curriculum 2015
SSt
2
1
2
2
2
1
CT
VO
UE
SE
SE
VO
UE
ECTS
3.0 Compulsory
2.0 Compulsory
3.5
3.5
3.0
1.5
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Graz University of Technology
717
717
709
709
709
442
442
442
442
709
442
709
442
708
708
709
709
709
442
442
K17
K17
709
442
438
438
438
448
448
442
442
442
442
438
438
2
VO
3.0
Biosignal Processing
2
UE
2.5
Biosignal Processing
2
VO
3.0
Cognitive Neuroscience
2
LU
2.0
Computational Biology
2
VO
3.0
Computational Biology
2
VO
3.0
Digital Audio Engineering 1
2
VO
3.0
Digital Audio Engineering 2
2
LU
3.0
Digital Audio Engineering, Laboratory
2
LU
4.0
Digital Signal Processing Laboratory
2
VO
3.0
Information Processing in Humans
2
VO
3.0
Linguistic Foundations of Speech and Language Technology
2
VO
3.0
Methods of Functional Brain Research
2
VU
3.5
Mixed-Signal Processing Systems Design
2
VO
3.0
Principles of Brain Computation
1
KU
2.0
Principles of Brain Computation
2
SE
3.5
Neurocomputing, Seminar
2
KU
3.0 Comp. elective
Non-Invasive Brain-Computer Interfaces
2
VO
3.0 Comp. elective
Non-Invasive Brain-Computer Interfaces
2
VO
3.0
Nonlinear Signal Processing
1
UE
2.0
Nonlinear Signal Processing
2
VO
3.0
Psychoacoustics 01
2
VO
3.0
Psychoacoustics 02
2
VO
3.0
Rehabilitation Engineering
2
SE
3.5
Selected Topics Signal, Biosignal and Speech Processing
2
VO
3.0 Compulsory
Signal Analysis
1
UE
2.0 Compulsory
Signal Analysis
2
LU
4.0
Signal Analysis, Laboratory
2
VO
3.0
Signal Processors
1
LU
2.0
Signal Processors, Laboratory
2
VO
3.0 Comp. elective
Speech Communication 1
2
VO
3.0
Speech Communication 2
2
LU
4.0 Comp. elective
Speech Communication Laboratory
2
VU
3.5
Spoken Language in Human and Human-Computer Dialogue
2
VO
3.0 Comp. elective
Statistical Signal Processing
1
UE
2.0 Comp. elective
Statistical Signal Processing
Total ECTS
120.0
Selection of compulsory courses
For the major, students must complete all of the compulsory courses and either Non-Invasive BrainComputer 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
442
442
451
451
451
440
437
448
448
437
437
442
Communications and Mobile Computing
Adaptive Systems
Adaptive Systems
Antennas and Wave Propagation
Antennas and Wave Propagation
Applied Microwave Systems
Communication Systems, Laboratory
Computational Electromagnetics
Context-Aware Computing
Context-Aware Computing
Electrodynamics ICE
Electrodynamics ICE
Fundamentals of Digital Communications
Master’s degree programme in Information and Computer Engineering
Curriculum 2015
SSt
2
1
2
1
2
1
2
2
1
2
1
2
CT
VO
UE
VO
UE
VO
LU
VO
VO
UE
VO
UE
VO
ECTS
3.0
2.0
3.0
2.0
3.0
2.0
3.0
3.0
2.0
3.0
1.5
3.0
Comp. elective
Comp. elective
Compulsory
Compulsory
Comp. elective
Page 11 of 36
Graz University of Technology
442
451
451
451
440
440
451
451
448
448
442
437
437
451
451
448
448
451
451
440
440
448
448
448
437
437
451
448
448
440
440
440
Fundamentals of Digital Communications
HF-Engineering
HF-Engineering
HF-Engineering, Laboratory
Information Theory and Coding
Information Theory and Coding
Introduction to Microwave Engineering
Introduction to Microwave Engineering
Mobile Computing, Laboratory
Mobile Computing, Seminar
Mobile Radio Systems
Numerical Optimization
Numerical Optimization
Optoelectronical Communication Engineering
Optoelectronical Communication Engineering
Power-Aware Computing
Power-Aware Computing, Laboratory
Radar Seminar
Introduction to Radar Systems
Satellite Communications
Satellite Communications
Selected Topics Communications and Mobile Computing
Sensor Networks
Sensor Networks, Laboratory
Simulation of Time-Dependent Fields
Simulation of Time-Dependent Fields
Smart Antennas
Smart Service Development
Smart Service Development
Software Defined Radio
Telecommunication Systems
Wireless Communication Networks and Protocols
1
2
1
1
2
1
2
1
2
3
2
2
1
3
1
2
1
1.5
2
2
1
2
2
2
2
1
2
2
1
2
2
1
UE
VO
UE
LU
VO
UE
VO
UE
LU
SE
VO
VO
UE
VO
UE
VU
LU
SE
VO
VO
UE
SE
VU
LU
VO
UE
VU
VO
UE
VO
VO
VO
2.0
3.0
2.0
2.0
3.0
2.0
3.0
2.0
3.5
5.0
3.0
3.0
2.0
4.5
2.0
3.0
2.0
2.5
3.0
3.0
2.0
3.5
3.0
3.5
3.0
2.0
3.5
3.0
1.5
3.0
3.0
1.5
Comp. elective
Comp. elective
Comp. elective
Comp. elective
Comp. elective
Compulsory
Total ECTS
118.5
Selection of compulsory courses
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
448
439
439
331
438
438
438
438
448
448
448
448
261
439
439
448
448
Embedded and Automotive Systems
Selected Topics Embedded and Automotive Systems
Automotive Electronics
Automotive Electronics, Laboratory
Automotive Engineering for Embedded Automotive Systems
Automotive Measurement
Automotive Measurement, Laboratory
Automotive Sensors and Actuators
Automotive Sensors and Actuators, Laboratory
Design of Real-Time Systems, Laboratory
Design Patterns
Design Patterns
Distributed Embedded Systems, Seminar
Dynamical Systems
Electromagnetic Compatibility of Electronic Systems
Electromagnetic Compatibility of Electronic Systems Laboratory
Embedded Automotive Software
Embedded Systems
Master’s degree programme in Information and Computer Engineering
Curriculum 2015
SSt
2
2
2
2
2
1
2
2
2
2
1
3
3
2
1
2
2
CT
SE
VO
LU
VO
VO
LU
VO
LU
LU
VO
UE
SE
VU
VO
LU
VU
VO
ECTS
3.5
3.0
3.0
3.0
3.0
2.0
3.0
4.0
4.0
3.0
2.0
5.0
5.0
3.0
2.0
3.5
3.0
Comp. elective
Compulsory
Comp. elective
Comp. elective
Compulsory
Page 12 of 36
Graz University of Technology
448
448
448
448
448
331
431
448
438
438
313
443
443
438
438
448
448
448
448
438
313
438
438
1
LU
2.0 Compulsory
Embedded Systems, Laboratory
2
VO
3.0
Fault-Tolerant Computing Systems
1
UE
2.0
Fault-Tolerant Computing Systems
2
VO
3.0
Industrial Software Development and Quality Management
1
UE
1.5
Industrial Software Development and Quality Management
2
VO
3.0
Innovative Power Trains
2
VO
3.0
Introduction to Electric Machines
4
LU
6.0
Microcontroller Design, Laboratory
2
VO
3.0
On-Board Diagnosis
1
LU
1.5
On-Board Diagnosis, Laboratory
2
VO
3.0
Piston Engines, Introduction
2
VO
3.0
Process Automation
2
LU
4.0
Process Automation, Laboratory
2
VO
3.0
Process Instrumentation
2
LU
4.0
Process Instrumentation, Laboratory
1
VO
1.5
Real-Time Bus Systems
1
LU
2.0
Real-Time Bus Systems, Laboratory
2
VO
3.0 Comp. elective
Real-Time Operating Systems
1
LU
1.5 Comp. elective
Real-Time Operating Systems
2
VO
3.0
Testing and Verification Methods for Distributed Software Systems
2
VO
3.0
Introduction to Thermodynamics
2
VO
3.0
Vibration Measurement
1
LU
2.0
Vibration Measurement, Laboratory
Total ECTS
119.0
Selection of compulsory courses
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
443
443
443
443
443
443
443
443
443
443
443
443
443
443
438
438
438
443
443
448
448
431
431
443
443
Measurement and Control Systems
Automatic Control, Supplement
Basics of Nonlinear Control Systems
Basics of Nonlinear Control Systems
Computer-Aided Control System Design
Computer-Aided Control System Design
Computer-Aided System Modelling and Simulation
Computer-Aided System Modelling and Simulation
Control Systems 2
Control Systems 2
Descriptor Systems
Design of Optimal Systems
Design of Optimal Systems
Mathematics for Engineers
Mathematics for Engineers
Measurement 2
Measurement Signal Processing
Measurement Signal Processing, Laboratory
Mechatronic Systems Modelling
Mechatronic Systems Modelling
Microcontroller
Microcontroller
Modelling and Simulation of Electric Drive Systems and Machines
Modelling and Simulation of Electric Drive Systems and Machines
Multivariable Systems
Multivariable Systems
Master’s degree programme in Information and Computer Engineering
Curriculum 2015
SSt
2
1
2
2
2
2
1
2
1
2
2
1
2
1
2
2
2
2
1
1.5
2
2
2
2
1
CT
VO
UE
VO
VO
UE
VO
UE
VO
UE
VU
VO
UE
VO
UE
VO
VO
LU
VO
UE
VO
UE
VO
LU
VO
UE
ECTS
3.0
2.0
3.0
3.0
4.0
3.0
2.0
3.0
1.5
3.5
3.0
2.0
3.0
2.0
3.0
3.0
4.0
3.0
2.0
2.0
3.0
3.0
3.0
3.0
2.0
Compulsory
Compulsory
Compulsory
Compulsory
Page 13 of 36
Graz University of Technology
443
443
437
437
438
438
443
443
438
438
443
443
443
443
443
Nonlinear Control Systems
Nonlinear Control Systems
Numerical Optimization
Numerical Optimization
Optical Measurement Principles
Physical Effects for Sensors
Process Automation
Process Automation, Laboratory
Process Instrumentation
Process Instrumentation, Laboratory
Selected Topics Measurement and Control Design
State Estimation and Filtering
State Estimation and Filtering
System Theory
System Theory
2
1
2
1
2
2
2
2
2
2
2
2
1
2
1
VO
UE
VO
UE
VO
VO
VO
LU
VO
LU
SE
VO
UE
VO
UE
3.0
2.0
3.0
2.0
3.0
3.0
3.0
4.0
3.0
4.0
3.5
3.0
2.0
3.0
2.0
Compulsory
Compulsory
Total ECTS
112.5
Selection of compulsory courses
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
439
439
439
439
439
439
439
439
439
439
439
439
439
439
439
705
705
439
439
439
439
448
448
448
448
439
439
439
439
438
451
439
513
439
439
Microelectronics and IC Design
Advanced Analog IC Design 1
Advanced Analog IC Design 2
Analog Circuit Laboratory
Analog IC Design 1
Analog IC Design 1
Analog IC Design 2
Analog IC Design 2
Analog IC Layout 1
Analog IC Layout 2
Basics of Microelectronics
Circuit Simulation
Circuit Simulation
Compact Modelling and Robust IC Design
Development of Electronic Systems
Digital Circuit Laboratory
Digital System Design
Digital System Design
Electromagnetic Compatibility of Electronic Systems
Electromagnetic Compatibility of Electronic Systems Laboratory
Electromagnetic Compatibility of ICs
Evaluation of ICs Laboratory
Hardware Description Languages
Hardware Description Languages
Hardware-Software-Codesign
Hardware-Software-Codesign
IC Design Fundamentals
IC Design Fundamentals
IC Design Project Management and Quality
Methods for IC Evaluation and Failure Analysis
Micro-Electromechanical Systems
Microwave Measurement
Noise and Crosstalk in ICs
Physics of Semiconductor Devices
Practical Analog Circuit Design
Practical Analog Circuit Design, Laboratory
Master’s degree programme in Information and Computer Engineering
Curriculum 2015
SSt
3
3
3
2
2
2
2
2
1
2
1
2
1
4
3
2
1
2
1
1
3
2
1
2
1
2
2
1
2
2
2
2
2
2
2
CT
VU
VU
LU
VO
UE
VO
UE
UE
VU
VO
VO
UE
VU
VO
LU
VO
KU
VO
LU
VO
LU
VO
UE
VO
UE
VO
UE
VO
VU
VO
VU
VU
VO
UE
LU
ECTS
4.5
4.5
4.0
3.0
3.0
3.0
3.0
3.5
1.5
3.0
1.5
3.0
1.5
6.0
4.0
3.0
2.0
3.0
2.0
1.5
4.5
3.0
1.5
3.0
2.0
3.0
3.0
1.5
3.0
3.0
3.0
3.0
3.0
3.0
2.0
Compulsory
Compulsory
Comp. elective
Comp. elective
Comp. elective
Comp. elective
Compulsory
Compulsory
Comp. elective
Comp. elective
Page 14 of 36
Graz University of Technology
439
451
439
451
705
2
2
2
2
3
Production Test and Design for Test
RF and Microwave Component Design
Selected Topics Advanced Analog IC Design
Selected Topics RFID
System-on-Chip Architectures and Modelling
VO
VU
SE
VO
VU
3.0
3.0
3.5
3.0
5.0
Total ECTS
Comp. elective
119.5
Selection of compulsory courses
For the major, students must complete all compulsory courses and one of the compulsory elective courses (VU or VO+UE/KU). For the minor, they must complete one of the compulsory courses (VO+UE/KU)
and one of the compulsory elective courses (VU or VO+UE/KU).
6
SP 10.0
439 Seminar Project Electronics
438 Seminar Project Measurement Techniques
6
SP 10.0
448 Seminar Project Technical Informatics
6
SP 10.0
s01
439
439
437
709
502
502
708
708
709
709
439
448
448
502
502
709
431
655
501
501
440
437
437
710
b01
374
374
373
371
371
373
373
371
371
940
373
373
372
372
372
372
Supplementary catalogue
SSt
2
Application of Microprocessors
1
Application of Microprocessors, Laboratory
2
Basic Experiments in Electrodynamics, Laboratory
2
Bioinformatics
3
Combinatorial Optimization 1
1
Combinatorial Optimization 1
2
Computational Geometry
1
Computational Geometry
2
Computational Medicine
2
Computational Medicine
2
Electronic Circuit Design 3
2
Embedded Internet
2
Embedded Internet
3
Graph Theoretic Algorithms
1
Graph Theoretic Algorithms
Interdisciplinary team-taught lecture series: Trends in Neurorehabili2
tation
2
Power Electronics-based Solid State Energy Converters
2
Laboratory Information and Management Systems
3
Mathematical Analysis of Algorithms
1
Mathematical Analysis of Algorithms
2
RFID Systems
2
Simulation of Static Fields
1
Simulation of Static Fields
3
Software Development in Distributed Environments
Total ECTS
CT
VO
LU
LU
LU
VO
UE
VO
UE
VO
LU
VO
VU
LU
VO
UE
ECTS
3.0
2.0
2.0
3.0
4.5
2.0
3.0
1.5
3.0
2.0
3.0
3.0
3.0
4.5
2.0
VO
3.0
VO
VO
VO
UE
VO
VO
UE
VU
3.0
3.0
5.0
2.0
3.0
3.0
2.0
5.0
Business, Law, and Management
Business Informatics
Business Informatics
Business Sociology
Company's Management of Innovation
Company's Management of Innovation
Controlling
Controlling
Creativity Techniques
Creativity Techniques
Diversity Management 1: Basic Principles
Encyclopedia Business Economics
Encyclopedia Business Economics
Entrepreneurship and Start-Up of Corporation
Entrepreneurship and Start-Up of Corporation
General Management and Organization
General Management Exercises
CT
VO
UE
VO
VO
UE
VO
UE
VO
UE
SE
VO
UE
VO
UE
VO
UE
Master’s degree programme in Information and Computer Engineering
Curriculum 2015
SSt
1
2
2
1
2
2
1
1
1
2
3
2
2
1
2
2
70.5
ECTS
1.5
3.0
3.0
1.5
2.0
3.0
1.5
1.5
1.5
2.0
4.5
3.0
3.0
1.5
3.0
3.0
Compulsory
Compulsory
Page 15 of 36
Graz University of Technology
372
372
371
371
374
374
372
372
940
373
371
371
373
373
372
372
371
374
374
372
374
374
374
374
710
371
371
371
371
General Management, Case Studies
General Management, Case Studies
Industrial Management
Industrial Management
Information and Communication Management
Information and Communication Management
Information Management
Information Management
Intercultural Social Competence for Business
International Economic Relationship
Logistics
Logistics
Marketing Management
Marketing Management
Process Management
Process Management
Product Innovation Project
Production Planning & Control
Production Planning & Control
Project Management
Quantitative Methods for Business
Quantitative Methods for Business
Selected Topics Business Informatics
Selected Topics Business Informatics
Start-Ups and Small Business Management
Value Management I
Value Management I
Value Management II
Value Management II
1
2
3
3
1
1
1
2
2
1
1
1
2
1
2
2
3
2
2
2
2
3
2
1
3
1
1
1
3
VO
UE
VO
UE
VO
UE
VO
UE
SE
VO
VO
UE
VO
UE
VO
UE
PR
VO
UE
VO
VO
UE
VO
UE
VU
VO
UE
VO
UE
1.5
3.0
4.5
3.0
1.5
1.5
1.5
3.0
2.0
1.5
1.5
1.5
3.0
1.5
3.0
3.0
5.0
3.0
3.0
3.0
3.0
4.5
3.0
1.5
3.0
1.5
1.5
1.5
4.5
433
U73
434
940
940
U73
U73
433
U73
432
U40
U73
Complexity and Dynamics in the Information- and Knowledge-Society
Concepts of Technology Assessments
Energy and Environment
English for Engineers (Advanced – Professional Meetings)
English for Engineers (Advanced Oral Skills)
Gender and Technology I
Gender and Technology II
Management of the Environment
Methods of Inter- and Transdisciplinary Research
Nuclear Power and Environment
Sustainable Innovation
Technology - Ethics - Politics
2
2
2
2
2
2
2
2
2
2
2
2
SE
SE
VO
SE
SE
SE
SE
VO
SE
VO
KS
VO
2.0
4.0
3.0
2.0
2.0
5.0
4.0
3.0
4.0
3.0
4.0
4.0
373
373
501
373
218
373
373
710
Civil Law and Law of Business Enterprises
Industrial Law (Labour Law)
Insurance Law
Intensive Studies in Law of Business Enterprises
Introduction to the Austrian Constitution
Law of Taxation
Patent Law
Selected Topics Public Law, Informatics, and Data Security
3
2
4
2
2
2
2
2
VO
VO
VO
VO
VO
VO
VO
VO
4.5
3.0
6.0
3.0
3.0
3.0
3.0
3.0
Total ECTS
Selection of compulsory courses
For the minor, students must complete all compulsory courses.
181.5
Instead of the two courses "English for Engineers (Advanced – Professional Meetings)" and "English for Engineers (Advanced Oral Skills)", other courses can also be
Master’s degree programme in Information and Computer Engineering
Curriculum 2015
Page 16 of 36
Graz University of Technology
completed as part of the elective subject to improve knowledge of a foreign language
(English or German) with a total scope of up to 3 ECTS credit points.
Note: Possible amendments to the catalogue of electives are published in the University Gazette of TU Graz.
§ 5b Free-choice subject
The courses to be completed as part of the free-choice subject are designed to provide students' individual emphasis and further development. They can be freely selected from the courses offered by any recognised Austrian or foreign university, as
well as universities of applied sciences and university colleges for education.
Students are recommended to spread free-choice courses over the entire length of
the programme.
If a course is assigned the same number of ECTS credit points in all curricula in
which it is a compulsory or an elective course, it shall be allocated the same number
of ECTS credit points when taken as a free-choice subject. If a course has been allocated varying numbers of ECTS credit points, the minimum number of assigned
ECTS credit points is to be allocated to the course when taken as a free-choice subject.
Courses that are not intended either as a compulsory course or as an elective course
are assigned 1 ECTS credit point for each semester hour (SSt). However, if such
courses are lecture-type courses (VO), they are assigned 1.5 ECTS credit points for
each semester hour.
§ 6 Admission to examinations
Admission to examinations is not subject to any prerequisites.
In order to assist students in completing their degrees in a timely manner, courses
with continual assessment must allow students to submit, supplement or repeat partial course requirements no later than two weeks after commencement of the semester following the course.
§ 6a Guidelines for the allocation of places on courses
(1) If the number of students registered for a course exceeds the number of available
places, parallel courses are to be provided. If necessary, these parallel courses
may also be provided during the semester break.
(2) If it is not possible to offer a sufficient number of parallel courses (groups), the
students are to be admitted to the course according to the following priority ranking:
a)
Students who are required to complete the course according to their curriculum have priority.
b)
Further students are to be ranked according to the sum of the successfully
completed courses of the respective study programme (total ECTS credit
points).
c)
Students who have met the participation requirement at an earlier date are
Master’s degree programme in Information and Computer Engineering
Curriculum 2015
Page 17 of 36
Graz University of Technology
d)
e)
f)
ranked by date.
Students who have already been placed on a waiting list or who have to
repeat the course are to be given priority on the next course.
The further ranking is made according to the grade of the examination or
the average grade of the examinations (weighted on the basis of the ECTS
credit points) of the respective course(s) that are specified as the participation requirement.
Students who do not need to complete such courses in order to fulfil their
curriculum are only considered based on the number of free places. It is
possible to be included on a separate waiting list. The above-mentioned
provisions shall apply accordingly.
(3) Students who complete a part of their studies at TU Graz in the context of mobility
programmes are given priority for up to 10% of the available places.
§ 7 Examination regulations
Courses are evaluated individually.
1. Examinations for courses held as lectures (VO) cover the complete content of
the course.
2. For courses held as lectures with integrated exercises (VU), exercises (UE),
design exercises (KU), laboratory courses (LU), projects (PR) and seminars
(SE), seminars/projects (SP), and excursions (EX), a student’s performance is
continually assessed on the basis of that student’s contributions and/or
through accompanying tests. The assessment must always consist of at least
two examinations.
3. Examinations with positive results are to be assessed as "very good" (1),
"good" (2), "satisfactory" (3) or "sufficient" (4); those with negative results are
to be assessed as "insufficient" (5). Specially indicated courses and excursiontype courses are assessed as "successful participation" or as "unsuccessful
participation".
4. If a subject includes separate examinations for the relevant courses, the overall subject grade is to be determined by
a) multiplying the grade of each examination result in connection with the
subject with the ECTS credit points of the corresponding course;
b) adding the values calculated according to lit. a);
c) dividing the result of the addition by the sum of the ECTS credit points of
the courses, and
d) rounding the result of the division to a whole-numbered grade if required.
The grade must be rounded up if the decimal place exceeds 0.5. Otherwise, the grade must be rounded down.
The types of courses are explained in Part 4 of the Annex.
In addition to the types of courses, the following maximum group sizes are set forth:
1. The maximum group size for exercises (UE), exercise components of lectures
with integrated exercises (VU) and for design exercises (KU) is 30 students.
2. The maximum group size for projects (PR), seminars (SE) and excursions
(EX) is 15 students.
3. The maximum group size for laboratory courses (LU) is 6 students.
Master’s degree programme in Information and Computer Engineering
Curriculum 2015
Page 18 of 36
Graz University of Technology
4. The maximum group size for projects (PR) and seminars/projects (SP) is 8
students. Alternatively, the Dean of Studies can commission the seminar/project with individual mentoring. In this case, the seminar/project corresponds to 0.75 project hours.
Lectures with integrated exercises (VU) are divided into lecture and exercise components, with 2/3 of the semester hours (SSt) being allocated to lecture components
and 1/3 being allocated to exercise components The following courses are excluded
from the above and are allocated as follows:
Course
SSt
Type
of
course
ECTS
Advanced Analog IC Design 1
Advanced Analog IC Design 2
Analog IC Layout 2
Compact Modelling and Robust IC Design
Descriptor Systems
Dynamical Systems
Embedded Automotive Software
Embedded Internet
Logic and Logic Programming
Methods for IC Evaluation and Failure Analysis
Microwave Measurement
Mixed-Signal Processing Systems Design
Navigation Systems
Noise and Crosstalk in ICs
Power-Aware Computing
Quality Assurance in Software Development
Recommender Systems
RF and Microwave Component Design
Sensor Networks
Smart Antennas
Spoken Language in Human and Human-Computer Dialogue
Virtual Reality
3.0
3.0
1.0
1.0
2.0
3.0
2.0
2.0
2.0
2.0
2.0
2.0
2.0
2.0
2.0
2.0
2.0
2.0
2.0
2.0
2.0
4.0
VU
VU
VU
VU
VU
VU
VU
VU
VU
VU
VU
VU
VU
VU
VU
VU
VU
VU
VU
VU
VU
VU
4.5
4.5
1.5
1.5
3.5
5.0
3.5
3.0
3.5
3.0
3.0
3.5
3.0
3.0
3.0
2.5
3.0
3.0
3.0
3.5
3.5
7.0
SSt SSt
VO UE
1.5
1.5
0.5
0.5
1.0
1.5
1.5
1.5
1.0
1.0
1.0
1.0
1.0
1.0
1.5
1.0
1.0
1.0
1.5
1.0
1.0
2.0
1.5
1.5
0.5
0.5
1.0
1.5
0.5
0.5
1.0
1.0
1.0
1.0
1.0
1.0
0.5
1.0
1.0
1.0
0.5
1.0
1.0
2.0
Abbreviations: SST: semester hours; UE: exercise; VO: lecture; VU: lecture with integrated exercises
§ 7a Final examination before a committee
Admission to the master's degree examination before a committee requires proof of
the positive assessment of all examination results according to § 4 and § 5 above as
well as proof of the positive assessment of the master's thesis.
The final examination before a committee takes places before an examination senate
composed of three persons who are appointed by the Dean of Studies. The supervisor of the master's thesis must be part of the examination senate. If the supervisor is
unavailable, they can suggest a substitute.
During the master's degree examination before a committee, students must present
their master's thesis written in accordance with the regulations, and must defend the
thesis before the members of the examination senate in the subsequent oral examination. The final examination before a committee may not last longer than one hour.
Master’s degree programme in Information and Computer Engineering
Curriculum 2015
Page 19 of 36
Graz University of Technology
§ 7b Diploma
The master's degree diploma is composed of:
a) the major according to § 5 above and its assessment;
b) the minor incl. the elective subject according to § 5 above and their assessment;
c) the title and the assessment of the master's thesis;
d) the assessment of the final examination before a committee;
e) the entirety of the ECTS credit points for successfully completed free-choice
courses from the free-choice subject, as defined in § 5b above, and
f) the overall assessment according to § 73 para. 3 UG.
§ 8 Transitional provisions
Regular students who started their study programme in Telematics before 1.10.2015
are entitled to continue and complete their studies until 30.09.2018 according to the
previously valid curriculum as published in the University Gazette of TU Graz dated
16.05.2013. If the study programme is not completed within this period of time, students are subject to this curriculum for the rest of the study period. Students are entitled to voluntarily opt for the new curriculum at any time within the admission periods.
To this end, a written irrevocable declaration must be sent to the Registration Office.
The ECTS credit points will be determined according to the current state at the point
at which the diploma is issued or during recognition for the study programme in Information and Computer Engineering.
All courses that were completed when they were included in the curriculum for the
master's degree programme in Telematics may be credited in the master's degree
programme in Information and Computer Engineering. The Dean of Studies defines
the catalogue of electives to which the courses are assigned on the suggestion of the
student with the mentor's agreement.
§ 9 Legal validity
This curriculum shall come into effect on 1 October 2015.
Master’s degree programme in Information and Computer Engineering
Curriculum 2015
Page 20 of 36
Graz University of Technology
Annex to the curriculum of the master's degree
programme in Information and Computer Engineering
Part 1 of the Annex
Subject descriptions
Elective subject: c01 Secure and Correct Systems
Subject content: This subject focuses on the challenge of designing information and
communication technology in a secure and reliable way. It includes aspects such as
secure and reliable software development, security architecture in hardware and
software, cryptography, compiler construction and formal verification. In addition,
content is offered on functional safety.
Learning outcomes: After completing the subject, students are familiar with the various aspects of information security and formal verification and able to apply these in
theory and practice.
Prerequisites: There are no formal prerequisites, but basic knowledge of information
security is an advantage.
Elective subject: c02 Computer Vision and Graphics
Subject content: This subject provides students with a deeper knowledge of computer graphics, geometric modelling, virtual and augmented reality, image processing
and information visualisation. In addition to mastering the theoretical basics of the
subject, particular emphasis is placed on practical application.
Learning outcomes: After completing the subject, students are able to independently develop imaging and image-processing procedures in various fields of application,
and to suggest and realise solutions.
Prerequisites: There are no formal prerequisites, but basic knowledge of computer
graphics and computer vision is an advantage.
Elective subject: c03 Robotics and Computational Intelligence
Subject content: This subject provides students with access to the most important
currently known methods of making machines "intelligent", as well as practical experience with state-of-the-art software from the fields of machine learning, biological
neural networks, simulation and modelling of technical systems, navigation and robot
vision. Since the subject is of an interdisciplinary nature, it contains courses from the
fields of mechanical engineering, electrical engineering and computer science. The
subject focuses on the practical implementation of the learnt content.
Learning outcomes: After completing the subject, students are familiar with the essential algorithms and technologies as well as the construction of "intelligent" machines. They know the advantages and disadvantages of the various (learning) algoMaster’s degree programme in Information and Computer Engineering
Curriculum 2015
Page 21 of 36
Graz University of Technology
rithms and are able to independently solve practical and theoretical problems and to
design a robot for an assigned task and program it accordingly.
Prerequisites: There are no formal prerequisites, but basic knowledge of knowledge
processing, computational intelligence, modelling and simulation is an advantage.
Elective subject: c04 Signal Processing and Human Communication
Subject content: This subject focuses on hearing, seeing, speaking and thinking as
essential life processes. Capturing and processing the associated signals requires
knowledge of the physics of sound wave propagation, the analysis, synthesis and
coding of signals, automatic pattern recognition incorporating models of human perception, and the understanding and generation of spoken or written language in automatic dialogue management.
Learning outcomes: After completing the subject, students are familiar with the essential algorithms and technologies for capturing speech signals and biosignals, as
well as algorithms for processing and are able to develop highly integrated systems
in the field of information and communication technology.
Prerequisites: There are no formal prerequisites, but basic knowledge of signal processing is an advantage.
Elective subject: c05 Communications and Mobile Computing
Subject content: This subject provides students with the knowledge necessary to
develop mobile and portable computer systems and the communication required. On
the one hand, this field focuses on mobile, wireless communication procedures and
ad hoc networks and, on the other hand, on the design of mobile systems with applications related to context, location and performance.
Learning outcomes: After completing the subject, students are familiar with the
physics, simulation and implementation of wireless communication as well as with
the concepts of context-based and location-based applications. They are able to create and implement optimised concepts of mobile, wireless communication for the relevant application.
Prerequisites: There are no formal prerequisites, but basic knowledge of electrodynamics and software development is an advantage.
Elective subject: c06 Embedded and Automotive Systems
Subject content: This subject provides students with the knowledge necessary to
analyse, design and synthesise distributed, ubiquitous and embedded (computer)
systems. The key areas of this field include the joint design of hardware/software
systems, procedures related to context, location and performance, and embedded
systems. In addition, the requirements and given constraints of motor vehicle design
are handled from the perspective of both electrical engineering and mechanical engineering.
Learning outcomes: After completing the subject, students are able to understand
embedded systems with their complex possibilities for interaction and to indeMaster’s degree programme in Information and Computer Engineering
Curriculum 2015
Page 22 of 36
Graz University of Technology
pendently develop suitable solutions for the requirements with procedures related to
context, location and performance.
Prerequisites: There are no formal prerequisites, but basic knowledge of hardware
and software systems and interprocess communication is an advantage.
Elective subject: c07 Measurement and Control Systems
Subject content: This subject provides students with a basic theoretical and practical framework for recording physical measured parameters, taking into account the
electronics with regard to increased measurement accuracy, self-diagnostic abilities
and lower susceptibility to faults, as well as for analysis, the creation of models and
the simulation of technical systems, and the design and optimisation of linear and
non-linear regulations.
Learning outcomes: After completing the subject, students are able to analyse and
model processes, to select or develop suitable sensors and to design developed controllers by means of modern mathematical methods.
Prerequisites: There are no formal prerequisites, but basic knowledge of linear algebra and signal analysis is an advantage.
Elective subject: c08 Microelectronics and IC Design
Subject content: This subject provides students with the essential knowledge and
skills of semiconductor physics and integrated circuit technology for designing analogue and digital integrated circuits, for which a good understanding of the basics of
physics is essential. Despite the increasing complexity of digital circuits, this subject
remains important since the interfaces with the environment remain analogue and
there is an increasing demand for hybrid circuits with analogue components.
Learning outcomes: After completing the subject, students have acquired the necessary knowledge to independently develop integrated analogue and/or digital circuits.
Prerequisites: There are no formal prerequisites, but basic knowledge of semiconductor physics and electronics is an advantage.
s01 Supplementary catalogue
Subject content: On the one hand, the supplementary catalogue offers courses to
deepen students' knowledge of mathematical basics, and on the other hand, it offers
supplementary topics that are of interest in several subjects and can be completed as
part of the elective subject.
Prerequisites: There are no formal prerequisites.
Non-technical elective subject: b01 Business, Law, and Management
Subject content: This subject cannot be chosen as a major. If it is chosen as a minor, the basics of starting up and managing businesses remain the focus. In addition,
Master’s degree programme in Information and Computer Engineering
Curriculum 2015
Page 23 of 36
Graz University of Technology
management tools, ethical aspects, the environment and sustainability, legal issues
and improving language skills are also offered as supplementary options.
Learning outcomes: After completing the minor, students have acquired the necessary basics to be able to successfully assume management roles in companies.
Prerequisites: There are no formal prerequisites.
Part 2 of the Annex
Recognition and equivalence list
Courses for which the equivalence or recognition is defined in this part of the Annex
to the curriculum do not require separate recognition by the Dean of Studies. Individual recognition awarded by means of an official decision made by the Dean of Studies according to § 78 UG is also possible.
An equivalence list defines the equivalence of successfully completed courses of this
curriculum and of the previous curriculum. This equivalence applies in both directions, that is, successfully completed courses of the previous curriculum may be
credited in this curriculum and successfully completed courses of this curriculum may
be credited in the previous curriculum.
Courses that are the same with regard to name and type, number of ECTS credit
points and the number of semester hours are considered to be equivalent, and are
thus not explicitly listed in the equivalence list.
Equivalence list for courses in English and German
Previous curriculum for 2006,
version 2013
Present curriculum for 2015
New course
SSt
Type
Accounting and Balancing
Accounting and Balancing
Algorithms in Acoustics and
Computer Music 01
Algorithms in Acoustics and
Computer Music 01
Analog Circuit Laboratory
1
1
VO
UE
2
VO
1
UE
3
LU
Analog IC Design 1
2
VO
Analog IC Design 1
2
UE
Analog IC Design 2
2
VO
Analog IC Design 2
2
UE
Analog IC Layout 1
Analog IC Layout 2
Antennas and Wave Propagation
Antennas and Wave Propagation
Application of Microprocessors
Application of Microprocessors,
2
1
2
1
2
1
UE
VU
VO
UE
VO
LU
EC
Old course
TS
1.5 Buchhaltung und Bilanzierung
1.5 Buchhaltung und Bilanzierung
Algorithmen in Akustik und
3
Computermusik 01
Algorithmen in Akustik und
1.5
Computermusik 01
4 Analoge Schaltungstechnik, Labor
Analog Integrated Circuit Design and
3
Simulation 1
Analog Integrated Circuit Design and
3
Simulation 1
Analog Integrated Circuit Design and
3
Simulation 2
Analog Integrated Circuit Design and
3
Simulation 2
3.5 Layout Techniken
1.5 Advanced Layout Techniques
3 Antennen und Wellenausbreitung
2 Antennen und Wellenausbreitung
3 Geräteentwurf mit Mikroprozessoren
2 Geräteentwurf mit Mikroprozessoren,
Master’s degree programme in Information and Computer Engineering
Curriculum 2015
SSt
Type
EC
TS
1
1
VO
UE
1.5
1.5
2
VO
3
1
UE
1.5
3
LU
4
2
VO
3
2
UE
3
2
VO
3
2
UE
3
2
1
2
1
2
1
UE
VU
VO
UE
VO
LU
4
1.5
3
2
3
2
Page 24 of 36
Graz University of Technology
Laboratory
Labor
Applied Cryptography
Applied Cryptography
Applied Cryptography 2
Applied Cryptography 2
Automatic Control, Supplement
2
1
2
1
2
VO
KU
VO
KU
VO
3
2
3
2
3
Automation of Mechatronic Systems
2
VO
3
1
LU
2
2
2
VO
LU
3
3
2
VO
3
2
1
2
VO
LU
VO
3
2
3
2
LU
4
2
1
1
VO
KU
UE
3
2
2
2
LU
2
2
2
2
2
2
3
2
2
1
2
VO
VO
LU
VO
UE
VO
UE
VO
VO
UE
3
3
3
3
2.5
4.5
2
3
1.5
3
3
VO
4.5
2
3
1
1
VO
VO
UE
LU
3
4.5
2
2
1
VU
1.5
1
VO
1.5
2
UE
2
2
1
VO
KU
3
2
2
SE
2
2
2
1
VO
VO
UE
3
3
1.5
2
VO
3
1
UE
2
Automation of Mechatronic Systems,
Laboratory
Automotive Electronics
Automotive Electronics, Laboratory
Automotive Engineering for Embedded Automotive Systems
Automotive Measurement
Automotive Measurement, Laboratory
Automotive Sensors and Actuators
Automotive Sensors and Actuators,
Laboratory
Autonomously Learning Systems
Autonomously Learning Systems
Basics of Nonlinear Control Systems
Basic Experiments in Electrodynamics, Laboratory
Basics of Microelectronics
Basics of Nonlinear Control Systems
Bioinformatics
Biosignal Processing
Biosignal Processing
Business Economics
Business Economics
Business Sociology
Circuit Simulation
Circuit Simulation
Civil Law and Law of Business
Enterprises
Cognitive Neuroscience
Combinatorial Optimization 1
Combinatorial Optimization 1
Communication Systems, Laboratory
Compact Modelling and Robust IC
Design
Company's Management of Innovation
Company's Management of Innovation
Compiler Construction
Compiler Construction
Complexity and Dynamics in the
Information- and Knowledge-Society
Computational Electromagnetics
Computational Geometry
Computational Geometry
Computer-Aided System Modelling
and Simulation
Computer-Aided System Modelling
Angewandte Kryptografie
Angewandte Kryptografie
Angewandte Kryptografie 2
Angewandte Kryptografie 2
Regelungstechnik, Ergänzungen
Automatisierung mechatronischer
Systeme
Automatisierung mechatronischer
Systeme, Labor
Automotive Elektronik
Automotive Elektronik, Labor
Fahrzeugtechnik Grundlagen für
Elektrotechnik und Telematik
Kraftfahrzeugmesstechnik
Kraftfahrzeugmesstechnik, Labor
KFZ Sensoren und Aktuatoren
KFZ Sensoren und Aktuatoren,
Labor
Machine Learning B
Machine Learning B
Grundlagen nichtlinearer Systeme
Elektrodynamische Grundversuche,
Labor
Grundlagen der Mikroelektronik
Grundlagen nichtlinearer Systeme
Bioinformatik
Biosignalverarbeitung
Biosignalverarbeitung
Betriebswirtschaftslehre
Betriebswirtschaftslehre
Betriebssoziologie
Schaltungssimulation
Schaltungssimulation
Bürgerliches Recht und
Unternehmensrecht
Cognitive Neuroscience
Kombinatorische Optimierung 1
Kombinatorische Optimierung 1
Kommunikationssysteme, Labor
Compact Modelling and Statistical
Simulation
Betriebliches Innovationsmanagement
Betriebliches Innovationsmanagement
Compilerbau
Compilerbau
Komplexität und Dynamik in der
Informations- und Wissensgesellschaft
Numerische Feldberechnung
Geometrische Algorithmen
Geometrische Algorithmen
Computerunterstützte Modellbildung
und Simulation
Computerunterstützte Modellbildung
Master’s degree programme in Information and Computer Engineering
Curriculum 2015
2
1
2
1
2
VO
KU
VO
KU
VO
3
2
3
2
3
2
VO
3
1
LU
2
2
2
VO
LU
3
3
2
VO
3
2
1
2
VO
LU
VO
3
2
3
2
LU
4
2
1
1
VO
KU
UE
3
2
2
2
LU
2
2
2
2
2
2
3
2
2
1
2
VO
VO
LU
VO
UE
VO
UE
VO
VO
UE
3
3
3
3
2.5
4.5
2
3
1.5
3
3
VO
4.5
2
3
1
1
VO
VO
UE
LU
3
4.5
2
2
1
VU
1.5
1
VO
1.5
2
UE
2
2
1
VO
KU
3
2
2
SE
2
2
2
1
VO
VO
UE
3
3
1.5
2
VO
3
1
UE
2
Page 25 of 36
Graz University of Technology
and Simulation
und Simulation
Computer Graphics 2
Computer Vision 2
Concepts of Technology Assessments
Construction of Mobile Robots
Control of Electric Drives and
Machines
Control of Electric Drives and
Machines, Laboratory
Cost Accounting
Cost Accounting
Descriptor Systems
1.5
1.5
VU
VU
2.5 Computergrafik 2
2.5 Computer Vision 2
Konzepte der
4
Technikfolgenabschätzung
5 Konstruktion Mobiler Roboter
2
SE
2
PR
2
VO
2
LU
1
2
2
VO
UE
VU
Design and Analysis of Algorithms
2
VO
Design and Analysis of Algorithms
1
KU
Design of Optimal Systems
Design of Optimal Systems
Design of Real-Time Systems,
Laboratory
2
1
VO
UE
2
LU
4
Development of Electronic Systems
4
VO
6
Digital Audio Engineering 1
Digital Audio Engineering 2
Digital Audio Engineering, Laboratory
Digital Circuit Laboratory
Digital System Design
Digital System Design
Discrete Differential Geometry
Distributed Embedded Systems,
Seminar
Diversity Management 1:
Basic Principles
Dynamical Systems
Economics for Electrical Engineers
Electrodynamics ICE
Electrodynamics ICE
Electromagnetic Compatibility of
Electronic Systems
Electromagnetic Compatibility of
Electronic Systems Laboratory
Electromagnetic Compatibility of ICs
Electronic Circuit Design 3
Embedded Security
Embedded Systems, Laboratory
Energy and Environment
English for Engineers (Advanced Professional Meetings)
English for Engineers (Advanced Oral
Skills)
Entrepreneurship and Start-Up of
Corporation
Entrepreneurship and Start-Up of
Corporation
2
2
2
3
2
1
2
VO
VO
LU
LU
VO
KU
VO
3
SE
2
SE
3
1
2
1
VU
VO
VO
UE
2
VO
1
LU
1
2
3
1
2
VO
VO
VU
LU
VO
2
SE
2
SE
2
VO
1
Evaluation of ICs Laboratory
Expert Systems
3
Regelung elektrischer Antriebe
Regelung elektrischer Antriebe,
Labor
1.5 Kosten- und Erfolgsrechnung
3 Kosten- und Erfolgsrechnung
3.5 Deskriptorsysteme
Entwurf und Analyse von
3
Algorithmen
Entwurf und Analyse von
1.5
Algorithmen
3 Entwurf optimaler Systeme
2 Entwurf optimaler Systeme
3
Entwurf von Echtzeitsystemen, Labor
1.5
1.5
VU
VU
2.5
2.5
2
SE
4
2
PR
5
2
VO
3
2
LU
3
1
2
2
VO
UE
VU
1.5
3
3.5
2
VO
3
1
KU
1.5
2
1
VO
UE
3
2
2
LU
4
4
VO
6
3
3
3
4
3
2
3
Konstruktion elektronischer Geräte
und Systeme
Digitale Audiotechnik 1
Digitale Audiotechnik 2
Digitale Audiotechnik, Labor
Digitale Schaltungstechnik, Labor
VLSI Design
VLSI Design
Diskrete Differentialgeometrie
2
2
2
3
2
1
2
VO
VO
LU
LU
VO
KU
VO
3
3
3
4
3
2
3
5
Verteilte Systeme, Seminar
3
SE
5
2
SE
2
3
1
2
1
VU
VO
VO
UE
5
1.5
3
1.5
2
VO
3
1
LU
2
1
2
3
1
2
VO
VO
VU
LU
VO
1.5
3
5
2
3
2
SE
2
2
SE
2
Unternehmungsgründung
2
VO
3
UE
1.5 Unternehmungsgründung
1
UE
1.5
3
LU
4.5
3
LU
4.5
2
VO
3
2
VO
3
Diversity Management 1:
Grundlagen
5 Dynamische Systeme
1.5 Wirtschaft für ElektrotechnikerInnen
3 Elektrodynamik TE
1.5 Elektrodynamik TE
Elektromagnetische Verträglichkeit
3
elektronischer Systeme
Elektromagnetische Verträglichkeit
2
elektronischer Systeme, Labor
1.5 EMV Integrierter Schaltungen
3 Elektronische Schaltungstechnik 3
5 Hardware Security
2 Embedded Systems, Labor
3 Energie und Umwelt
Englisch für TechnikerInnen (Perfek2
tionsstufe - Professional Meetings)
Englisch für TechnikerInnen (Perfek2
tionsstufe - mündliche Kompetenz)
2
3
Testen Integrierter Schaltungen,
Labor
Wissensverarbeitung
(Expertensysteme)
Master’s degree programme in Information and Computer Engineering
Curriculum 2015
Page 26 of 36
Graz University of Technology
Expert Systems
1
KU
Fault-Tolerant Computing Systems
Fault-Tolerant Computing Systems
Freeform Curves and Surfaces
Freeform Curves and Surfaces
Gender and Technology I
Gender and Technology II
General Management and
Organization
2
1
2
1
2
2
VO
UE
VO
UE
SE
SE
2
VO
General Management Exercises
2
UE
3
VU
3
1
2
1
2
1
1
2
2
2
VO
UE
VO
UE
VO
UE
LU
VO
UE
VO
1
LU
2
VO
1
KU
2
1
2
3
3
Geometric 3D-Modelling in Computer
Graphics
Graph Theoretic Algorithms
Graph Theoretic Algorithms
Hardware Description Languages
Hardware Description Languages
HF-Engineering
HF-Engineering
HF-Engineering, Laboratory
IC Design Fundamentals
IC Design Fundamentals
Image Based Measurement
Image Based Measurement,
Laboratory
Image Processing and Pattern
Recognition
Image Processing and Pattern
Recognition
Image Understanding
Image Understanding
Industrial Law (Labour Law)
Industrial Management
Industrial Management
Information and Communication
Management
Information and Communication
Management
Wissensverarbeitung
(Expertensysteme)
3 Fehlertolerante Rechnersysteme
2 Fehlertolerante Rechnersysteme
3 Freiformkurven/Freiformflächen
1.5 Freiformkurven/Freiformflächen
5 Technik-Bildung und Geschlecht I
4 Technik-Bildung und Geschlecht II
Unternehmungsführung und
3
Organisation
Unternehmungsführung und
3
Organisation
Geometrisches 3D-Modellieren in
5
der Computergrafik
4.5 Algorithmische Graphentheorie
2 Algorithmische Graphentheorie
3 Hardwarebeschreibungssprachen
1.5 Hardwarebeschreibungssprachen
3 Hochfrequenztechnik
2 Hochfrequenztechnik
2 Hochfrequenztechnik, Labor
3 Integrierte Schaltungen
3 Integrierte Schaltungen
3 Bildgestützte Messverfahren
2
2
Bildgestützte Messverfahren, Labor
1
KU
2
2
1
2
1
2
2
VO
UE
VO
UE
SE
SE
3
2
3
1.5
5
4
2
VO
3
2
UE
3
3
VU
5
3
1
2
1
2
1
1
2
2
2
VO
UE
VO
UE
VO
UE
LU
VO
UE
VO
4.5
2
3
1.5
3
2
2
3
3
3
1
LU
2
2
VO
3
1
KU
2
VO
KU
VO
VO
UE
Bildverarbeitung und
Mustererkennung
Bildverarbeitung und
2
Mustererkennung
3 Bildverstehen
2 Bildverstehen
3 Arbeitsrecht
4.5 Industriebetriebslehre
3 Industriebetriebslehre
2
1
2
3
3
VO
KU
VO
VO
UE
3
2
3
4.5
3
1
VO
1.5 IuK-Management in der Praxis
1
VO
1.5
1
UE
1.5 IuK-Management in der Praxis
1
UE
1.5
Information Processing in Humans
2
VO
3
Innovative Power Trains
Insurance Law
Intensive Studies in Law of Business
Enterprises
Intercultural Social Competence for
Business
Interdisciplinary team-taught lecture
series: Trends in Neurorehabilitation
2
4
VO
VO
2
VO
2
SE
2
VO
1
VO
1.5
2
VO
VO
2
VO
1
UE
2
VO
International Economic Relationship
Introduction to Electric Drive Systems
Introduction to Electric Machines
Introduction to Microwave Engineering
Introduction to Microwave Engineering
Power Electronics based Solid State
Energy Converters
3
2
VO
3
3
6
Informationsverarbeitung im
Menschen
Innovative Fahrzeugantriebe
Versicherungsrecht
2
4
VO
VO
3
6
3
Unternehmensrecht, Vertiefung
2
VO
3
2
SE
2
2
VO
3
1
VO
1.5
1.5
2
VO
VO
2
3
2
VO
3
1
UE
2
2
VO
3
Intercultural Social Competence for
Business
Interuniversitäre Ringvorlesung:
3
Trends in der Neurorehabilitation
Internationale
1.5
Wirtschaftsbeziehungen
2 Grundlagen elektrischer Antriebe
3 Grundlagen elektrischer Maschinen
Grundlagen der
3
Hochfrequenztechnik
Grundlagen der
2
Hochfrequenztechnik
2
3
Stromrichtertechnik
Master’s degree programme in Information and Computer Engineering
Curriculum 2015
Page 27 of 36
Graz University of Technology
Introduction to the Austrian Constitution
IT Security
IT Security
Kinematics and Robotics
Kinematics and Robotics
Laboratory Information and Management Systems
Law of Taxation
Linguistic Foundations of Speech and
Language Technology
Logic and Computability
Logic and Computability
Logic and Logic Programming
Logistics
Logistics
Machine Learning
Machine Learning
Management of the Environment
2
VO
3
Staatswissenschaften
2
VO
3
2
1
2
1
VO
KU
VO
LU
3
2
3
2
2
1
2
1
VO
KU
VO
LU
3
2
3
2
2
VO
3
2
VO
3
2
VO
3
2
VO
3
2
VO
3
2
VO
3
2
1
2
1
1
2
1
2
VO
KU
VU
VO
UE
VO
KU
VO
3
1.5
3.5
1.5
1.5
3
2
3
2
1
2
1
1
2
1
2
VO
KU
VU
VO
UE
VO
KU
VO
3
1.5
3.5
1.5
1.5
3
2
3
Mathematical Analysis of Algorithms
3
VO
5
3
VO
5
Mathematical Analysis of Algorithms
1
UE
2
1
UE
2
2
VO
3
2
VO
3
1
UE
2
1
UE
2
3
VU
5
3
VU
5
Mathematics for Engineers
2
VO
3
2
VO
3
Mathematics for Engineers
1
UE
2
1
UE
2
Measurement 2
Measurement Signal Processing
Measurement Signal Processing,
Laboratory
2
2
VO
VO
3
3
IT-Sicherheit
IT-Sicherheit
Kinematik und Robotik
Kinematik und Robotik
Laborinformations- und
-managementsysteme
Steuerrecht
Linguistische Grundlagen der
Sprachtechnologie
Logik und Berechenbarkeit
Logik und Berechenbarkeit
Logik und Logische Programmierung
Logistik Management
Logistik Management
Machine Learning A
Machine Learning A
Umweltmanangement
Mathematische Analyse von
Algorithmen
Mathematische Analyse von
Algorithmen
Mathematische Grundlagen der
Kryptografie
Mathematische Grundlagen der
Kryptografie
Mathematische Grundlagen in
Vision & Grafik
Mathematische Methoden für
Ingenieure
Mathematische Methoden für
Ingenieure
Messtechnik 2
Messsignalverarbeitung
2
2
VO
VO
3
3
2
LU
4
Messsignalverarbeitung, Labor
2
LU
4
Mechatronic Systems Modelling
2
VO
2
VO
3
Mechatronic Systems Modelling
1
UE
1
UE
2
Medical Image Analysis
Medical Image Analysis
Methods of Functional Brain Research
Methods of Inter- and
Transdisciplinary Research
Methods of Simulation of Mechatronic
Systems
Methods of Simulation of Mechatronic
Systems
Micro-Electromechanical Systems
Microwave Measurement
Mobile Computing, Laboratory
2
1
VO
KU
2
1
VO
KU
3
2
2
VO
2
VO
3
2
SE
2
SE
4
2
VO
2
VO
3
1
UE
1
UE
1.5
2
2
2
VO
VU
LU
2
2
2
VO
VU
LU
3
3
3.5
Mobile Computing, Seminar
3
SE
3
SE
5
2
VO
2
VO
3
2
LU
2
LU
3
Mathematical Foundations of
Cryptography
Mathematical Foundations of
Cryptography
Mathematical Principles in Vision and
Graphics
Modelling and Simulation of Electric
Drive Systems and Machines
Modelling and Simulation of Electric
Drive Systems and Machines
Modellierung mechatronischer
Systeme
Modellierung mechatronischer
2
Systeme
3 Medizinische Bildanalyse
2 Medizinische Bildanalyse
Methoden der funktionellen
3
Gehirnforschung
Methoden inter- und
4
transdisziplinärer Forschung
Simulationsverfahren für
3
mechatronische Systeme
Simulationsverfahren für
1.5
mechatronische Systeme
3 Mikroelektromechanische Systeme
3 HF-Messtechnik
3.5 Mobile Computing, Labor
Mobile and Nomadic Computing,
5
Seminar
Modellierung und Simulation
3
elektrischer Antriebe
Modellierung und Simulation
3
elektrischer Antriebe, Labor
3
Master’s degree programme in Information and Computer Engineering
Curriculum 2015
Page 28 of 36
Graz University of Technology
Modelling Technical Systems
Modelling Technical Systems
Multivariable Systems
Multivariable Systems
Neural Networks
Neural Networks
Neurocomputing, Seminar
2
1
2
1
2
1
2
VO
UE
VO
UE
VO
KU
SE
Noise and Crosstalk in ICs
2
VU
Nonlinear Control Systems
Nonlinear Control Systems
Nuclear Power and Environment
Numerical Optimization
Numerical Optimization
On-Board Diagnosis, Laboratory
2
1
2
2
1
1
VO
UE
VO
VO
UE
LU
Optical Measurement Principles
2
VO
3
VO
3
2
3
2
3
2
3.5
Modellierung technischer Systeme
Modellierung technischer Systeme
Mehrgrößensysteme
Mehrgrößensysteme
Neural Networks A
Neural Networks A
Neurocomputing, Seminar
Noise and Crosstalk, Modelling and
3
Simulation
3 Nichtlineare Regelungssysteme
2 Nichtlineare Regelungssysteme
3 Kernenergie und Umwelt
3 Numerische Optimierungsverfahren
2 Numerische Optimierungsverfahren
1.5 On Board Diagnose, Labor
Optische Methoden in der
3
Messtechnik
2
1
2
1
2
1
2
VO
UE
VO
UE
VO
KU
SE
3
2
3
2
3
2
3.5
2
VU
3
2
1
2
2
1
1
VO
UE
VO
VO
UE
LU
3
2
3
3
2
1.5
2
VO
3
4.5 Optische Nachrichtentechnik
3
VO
4.5
Optoelectronical Communication
Engineering
Optoelectronical Communication
Engineering
Patent Law
Pattern Recognition, Seminar
Photo Realism
Physical Effects for Sensors
Physics of Semiconductor Devices
Piston Engines, Introduction
1
UE
2
Optische Nachrichtentechnik
1
UE
2
2
3
3
2
2
2
VO
SE
VU
VO
VO
VO
3
5
5
3
3
3
2
3
3
2
2
2
VO
SE
VU
VO
VO
VO
3
5
5
3
3
3
Practical Analog Circuit Design
2
UE
3
2
UE
3
2
LU
2
2
LU
2
2
1
VO
KU
3
2
2
1
VO
KU
3
2
3
VU
5
3
VU
5
2
2
2
2
2
2
2
2
2
VO
LU
VO
LU
VO
UE
VO
VO
VO
3
4
3
4
3
3
3
3
3
2
2
2
2
2
2
2
2
2
VO
LU
VO
LU
VO
UE
VO
VO
VO
3
4
3
4
3
3
3
3
3
2
VU
2.5
2
VU
2.5
1.5
2
1
1
2
1
1
2
2
SE
VO
VO
LU
VO
KU
VO
KU
VO
2.5
3
1.5
2
3
2
1.5
4
3
Patentrecht
Seminar Mustererkennung
Fotorealismus
Physikalische Effekte für Sensoren
Physik der Halbleiterbauelemente
Einführung Kolbenmaschinen
Dimensionierung elektronischer
Schaltungen
Dimensionierung elektronischer
Schaltungen, Labor
Neural Networks B
Neural Networks B
Problemanalyse und
Komplexitätstheorie
Prozessautomatisierung
Prozessautomatisierung, Labor
Prozessinstrumentierung
Prozessinstrumentierung, Labor
Prozessmanagement
Prozessmanagement
Projektmanagement
Psychoakustik 01
Psychoakustik 02
Qualitätssicherung in der
Softwareentwicklung
Radartechnik, Seminar
Radartechnik
Echtzeit-Bussysteme
Echtzeit-Bussysteme, Labor
Echtzeit-Grafik
Echtzeit-Grafik
Echtzeit-Grafik 2
Echtzeit-Grafik 2
Echtzeitbetriebssysteme
1.5
2
1
1
2
1
1
2
2
SE
VO
VO
LU
VO
KU
VO
KU
VO
2.5
3
1.5
2
3
2
1.5
4
3
Practical Analog Circuit Design, Laboratory
Principles of Brain Computation
Principles of Brain Computation
Problem Analysis and Complexity
Theory
Process Automation
Process Automation, Laboratory
Process Instrumentation
Process Instrumentation, Laboratory
Process Management
Process Management
Project Management
Psychoacoustics 01
Psychoacoustics 02
Quality Assurance in Software
Development
Radar Seminar
Introduction to Radar Systems
Real-Time Bus Systems
Real-Time Bus Systems, Laboratory
Real-Time Graphics
Real-Time Graphics
Real-Time Graphics 2
Real-Time Graphics 2
Real-Time Operating Systems
Master’s degree programme in Information and Computer Engineering
Curriculum 2015
Page 29 of 36
Graz University of Technology
Real-Time Operating Systems
Rehabilitation Engineering
Research Seminar Virtual Reality
Security Aspects in Software
Development
Security Aspects in Software
Development
Selected Topics Advanced Analog IC
Design
Selected Topics Computer Graphics
Selected Topics Computer Graphics
Selected Topics Computer Vision
Selected Topics Computer Vision
Selected Topics
Design and Verification
Selected Topics
Design and Verification
Selected Topics
Embedded and Automotive Systems
Selected Topics Communications and
Mobile Computing
Selected Topics IT Security 1
Selected Topics IT Security 1
Selected Topics IT Security 2
Selected Topics Measurement and
Control Design
Selected Topics of
Business Informatics
Selected Topics of
Business Informatics
Selected Topics Public Law,
Informatics, and Data Security
Selected Topics RFID
Selected Topics Robotics and
Computational Intelligence
Selected Topics Signal, Biosignal and
Speech Processing
Selected Topics
Software Technology 1
Selected Topics
Software Technology 1
Selected Topics
Software Technology 2
Selected Topics
Software Technology 2
Sensor Networks
Sensor Networks, Laboratory
Signal Analysis
Signal Analysis
Signal Analysis, Laboratory
Signal Processors
Signal Processors, Laboratory
Simulation of Static Fields
Simulation of Static Fields
Simulation of Time-Dependent Fields
Simulation of Time-Dependent Fields
Software Development in Distributed
Environments
Software Paradigms
1
2
2
LU
VO
SE
2 Echtzeitbetriebssysteme
3 Rehabilitationstechnik
3.5 Forschungsseminar "Virtual Reality"
Sicherheitsaspekte in der Soft3
wareentwicklung
Sicherheitsaspekte in der
2
Softwareentwicklung
1
2
2
LU
VO
SE
2
3
3.5
2
VO
2
VO
3
1
KU
1
KU
2
2
SE
3.5 AK Advanced Analog IC Design
2
SE
3.5
2
1
2
1
VO
KU
VO
KU
3
2
3
2
AK Computergrafik
AK Computergrafik
AK Computer Vision
AK Computer Vision
2
1
2
1
VO
KU
VO
KU
3
2
3
2
2
VO
3
AK Design and Verification
2
VO
3
1
UE
2
AK Design and Verification
1
UE
2
2
SE
2
SE
3.5
2
SE
2
SE
3.5
2
1
2
VO
KU
SE
2
1
2
VO
KU
SE
3
2
3.5
2
SE
2
SE
3.5
2
VO
AK der Business Informatics
2
VO
3
1
UE
1.5 AK der Business Informatics
1
UE
1.5
2
VO
2
VO
3
2
SE
2
SE
3.5
2
SE
2
SE
3.5
2
SE
2
SE
3.5
2
VO
3
AK Softwaretechnologie 1
2
VO
3
1
UE
2
AK Softwaretechnologie 1
1
UE
2
2
VO
3
AK Softwaretechnologie 2
2
VO
3
1
UE
2
AK Softwaretechnologie 2
1
UE
2
2
2
2
1
2
2
1
2
1
2
1
VU
LU
VO
UE
LU
VO
LU
VO
UE
VO
UE
3
3.5
3
2
4
3
2
3
2
3
2
2
1
2
1
2
2
1
2
1
2
1
VU
LU
VO
UE
LU
VO
LU
VO
UE
VO
UE
3
2
3
2
4
3
2
3
2
3
2
3
VU
5
3
VU
5
3
VU
5
Location-Aware Computing
Location-Aware Computing
Signalanalyse
Signalanalyse
Signalanalyse, Labor
Signalprozessoren
Signalprozessoren, Labor
Simulation statischer Felder
Simulation statischer Felder
Simulation zeitabhängiger Felder
Simulation zeitabhängiger Felder
Softwareentwicklung in Verteilten
Umgebungen
Softwareparadigmen
3
VU
5
AK Embedded and Automotive
Systems
AK Communications and Mobile
3.5
Computing
3 AK IT-Sicherheit 1
2 AK IT-Sicherheit 1
3.5 AK IT-Sicherheit 2
AK Measurement and Control
3.5
Design
3.5
3
3
AK Informatikrecht und Datenschutz
3.5 AK RFID
AK Robotics and Computational
3.5
Intelligence
AK Signal, Biosignal and Speech
3.5
Processing
Master’s degree programme in Information and Computer Engineering
Curriculum 2015
Page 30 of 36
Graz University of Technology
Software Technology
Software Technology Tools
Software Technology, Seminar
Start-Ups and Small Business Management
State Estimation and Filtering
State Estimation and Filtering
System Theory
System Theory
System-on-Chip Architectures and
Modelling
Technology - Ethics - Politics
Telecommunication Systems
Testing and Verification Methods for
Distributed Software Systems
Introduction to Thermodynamics
Verification and Testing
Verification and Testing
Vibration Measurement
Vibration Measurement, Laboratory
3
2
2
VU
SE
SE
3
VU
2
1
2
1
VO
UE
VO
UE
3
VU
2
2
VO
VO
2
VO
2
2
1
2
1
VO
VO
UE
VO
LU
5 Softwaretechnologie
3.5 Softwaretechnologie Tools
3.5 Softwaretechnologie SE
Gründung und Führung von Kleinst3
Unternehmen
3 Zustandsschätzung und Filterung
2 Zustandsschätzung und Filterung
3 Systemtheorie
2 Systemtheorie
System-on-Chip Architectures and
5
Modelling
4 Technik - Ethik - Politik
3 Telekommunikationssysteme
Testmethoden und Verifikation ver3
teilter Systeme
3 Einführung Thermodynamik
3 Verifikation und Testen
2 Verifikation und Testen
3 Schwingungsmesstechnik
2 Schwingungsmesstechnik, Labor
3
2
2
VU
SE
SE
5
3.5
3.5
3
VU
3
2
1
2
1
VO
UE
VO
UE
3
2
3
2
3
VU
5
2
2
VO
VO
4
3
2
VO
3
2
2
1
2
1
VO
VO
UE
VO
LU
3
3
2
3
2
Abbreviations: KU: design exercise; LU: laboratory course; PR: project; SE: seminar;
SSt: semester hours/contact hours; UE: exercise; VO: lecture; VU: lecture with integrated exercises
The equivalence list in the curriculum for the master’s degree programme in Telematics from 2006 in the version 2013 remains valid.
By contrast, a recognition list defines when successfully completed courses of the
previous curriculum are recognised as successfully completed courses of this curriculum, with no automatic crediting being provided in the opposite direction.
A complete overview of all equivalences and recognitions is available on the website
of the Dean’s Office for Computer Science and Biomedical Engineering
(www.dinf.tugraz.at) and is always kept up to date.
Part 3 of the Annex
Recommended free-choice courses
Free-choice courses can be freely chosen from the courses offered at any recognised Austrian and foreign university, universities of applied sciences and university
colleges for education according to § 5b of this curriculum.
In order to broaden students' basic knowledge in the subjects of this study programme, courses in foreign languages, social competence, technology assessment
and women's and gender studies are recommended. In particular, we would like to
refer students to the courses offered by the TU Graz service department Languages,
Key Competencies and In-House Training, the Centre for Social Competence of the
University of Graz as well as the Inter-University Research Centre for Technology,
Work and Culture (IFZ).
Master’s degree programme in Information and Computer Engineering
Curriculum 2015
Page 31 of 36
Graz University of Technology
Part 4 of the Annex
Types of courses offered by TU Graz
The types of courses are defined in the relevant regulations of the standard curriculum (decision of the Senate of Graz University of Technology dated 6 October 2008,
announced in the University Gazette No. 5 dated 3 December 2008), as follows.
1.
Lectures (VO)
In lecture-type courses, students are given a didactically well-structured introduction to the sub-areas of the subject and its methods. In lectures, the content and
methods of a subject are presented.
2. Exercise-based courses (UE, KU, PR, EX)
In exercises, abilities and skills are taught as part of a scientific pre-vocational
education to deepen or broaden the subject matter of the respective lectures.
These exercises may comprise practical, experimental, theoretical or design
work. The curriculum may specify that the successful completion of the exercise
is a requirement to register for the examination of the respective lecture.
a) UE
In exercises, students develop the ability to apply their subject knowledge to
solve specific problems.
b) KU
In design exercises, abilities and skills are taught as part of a scientific prevocational education to deepen or broaden the subject matter of the respective lectures by means of design work. Special equipment or a specially
equipped room is required.
c) PR
In projects, experimental, theoretical or design applied work is carried out, or
small research papers are written, taking into account all necessary steps.
Projects are completed with a written paper that is part of the assessment.
Projects can be carried out as teamwork or individual work; in the case of
teamwork, it must still be possible to assess individual performance within the
team.
d) EX
Excursion-type courses help to illustrate and consolidate the content of this
type of course. Due to their practical relevance outside the place of study,
excursions help to illustrate the content developed in other types of courses.
3. Lecture with integrated exercises (VU)
In addition to the introduction in sub-areas of the subject and its methods, lectures with integrated exercises (VU) also offer guidance on independent acquisition of knowledge or independent application using examples. The percentage of
lectures and exercises is specified in the curriculum. These courses are courses
with continual assessment.
4. Laboratory courses (LU)
Laboratory courses (LU) deepen and/or broaden the subject matter of the respective lectures by means of practical, experimental or design work. Students
Master’s degree programme in Information and Computer Engineering
Curriculum 2015
Page 32 of 36
Graz University of Technology
are taught abilities and skills as part of a scientific pre-vocational education and
training with particularly intensive tutoring. An essential component of the laboratory courses is the drawing up of short logs on the work carried out.
5. Seminar-type courses (SE, SP)
Seminar-type courses enhance scientific work and discussion, and are intended
to introduce students to expert-level discourse and argumentation. In this context, students have to write papers or give an oral presentation and take part in
critical discussions. Seminars are courses with continual assessment.
e) SE
Seminars introduce students to scientific methods, to the development and
critical assessment of their own work results, to special topics in scientific literature and provide them with exercises in technical discussions.
f) SP
In seminar projects, students apply scientific methods to work on experimental, theoretical or design applied problems; or they carry out short research assignments, taking into account all the necessary steps. Seminar
projects are completed with a written paper and an oral presentation that are
part of the assessment. Seminar projects can be carried out as teamwork or
individual work; in the case of teamwork, it must still be possible to assess
individual performance within the team.
The regulations referred to at the beginning also encompass provisions concerning
the implementation and assessment of the different types of courses. In particular,
they stipulate the following:
In lectures (type of course VO), the assessment takes place by way of a final examination that – at the discretion of the examiner – may be a written examination, an oral
examination, a written and an oral examination, as well as a written or an oral examination. The examination procedure must be announced in the course description.
Courses of the type VU, SE, SP, UE, KU, PR, EX and LU are courses with continual
assessment.
Part 5 of the Annex
5.1 Admission to the study programme
According to § 1 of this curriculum, graduates of the bachelor's degree programme in
Information and Computer Engineering are admitted to this programme without any
further prerequisites.
Graduates of the following bachelor's degree programmes are admitted to the master's degree programme in Information and Computer Engineering, but have to complete a list of prescribed courses of the bachelor's degree programme in Information
and Computer Engineering as part of the elective subject; these courses become
compulsory subjects due to the admission to the master’s degree programme. They
replace a corresponding scope of achievements from the elective subject. If the
scope of courses exceeds the intended scope of the elective subject of 14 ECTS
credit points, the scope of elective courses in the minor is reduced. The total scope of
Master’s degree programme in Information and Computer Engineering
Curriculum 2015
Page 33 of 36
Graz University of Technology
the major, compulsory subject and elective subject is always at least 74 ECTS credit
points.
If the prescribed courses were already completed as part of the bachelor's degree
programme that grants admission to the master's degree programme, § 4 of this curriculum shall apply accordingly.
5.2 Admission to the bachelor's degree programmes in Computer Science and
Software Development and Business Management
Graduates of the bachelor's degree programme in Computer Science and Software
Development and Business Management at Graz University of Technology according
to the curriculum 2014 are admitted to this master's degree programme, with the following courses of the bachelor's degree programme in Information and Computer
Engineering being stipulated as compulsory subjects according to § 1 above:
Course
Signalverarbeitung
Signalverarbeitung
Control Systems 1
Control Systems 1
Grundlagen der Elektrotechnik TE
Grundlagen der Elektrotechnik TE
Grundlagen der Elektrotechnik, Labor
Nachrichtentechnik
Elektronische Schaltungstechnik 1
Total compulsory subjects
SSt
2
1
3
1
3
1
2
3
2
Type
VO
UE
VO
UE
VO
UE
LU
VO
VO
ECTS
3.0
1.5
4.0
1.5
4.5
1.0
3.0
4.0
3.0
25.5
Abbreviations: LU: laboratory course; SSt: semester hours/contact hours; UE: exercise; VO: lecture
5.3 Admission to the bachelor's degree programmes in Electrical Engineering,
Electrical Engineering and Audio Engineering and Biomedical Engineering
Graduates of the bachelor's degree programmes in Electrical Engineering, Electrical Engineering and Audio Engineering and Biomedical Engineering at Graz
University of Technology according to the curriculum 2011 or 2012 are admitted
to this master's degree programme, with the following courses of the bachelor's
degree programme in Information and Computer Engineering being stipulated as
compulsory subjects according to § 1 above:
Course
Datenstrukturen und Algorithmen
Datenstrukturen und Algorithmen
Datenbanken 1
Einführung in die Informationssicherheit
Einführung in die Informationssicherheit
Computergrafik 1
Computer Vision 1
Softwareentwicklung Praktikum
Rechner- und Kommunikationsnetze
Rechner- und Kommunikationsnetze
Total compulsory subjects
SSt
2
1
2
2
1
1.5
1.5
3
2
1
Master’s degree programme in Information and Computer Engineering
Curriculum 2015
Type
VO
UE
VU
VO
KU
VU
VU
VU
VO
KU
ECTS
3.0
1.5
2.0
3.0
1.5
2.5
2.0
5.0
3.0
1.5
25.0
Page 34 of 36
Graz University of Technology
Abbreviations: KU: design exercise; SSt: semester hours/contact hours; UE: exercise; VO: lecture; VU: lecture with integrated exercises
Part 6 of the Annex
Supplement to Balance according to § 4.4 above
The achievements in information processing include courses whose number begins
with 5 or 7. The achievements in the field of electrical and information engineering
include courses whose number begins with 4. In addition, the courses in the table
below are included in this field.
Course
Algorithms in Acoustics and Computer Music 01
Algorithms in Acoustics and Computer Music 02
Dynamical Systems
Piston Engines, Introduction
Introduction to Thermodynamics
Automotive Engineering for Embedded Automotive Systems
Mobile Robots
Mobile Robots
Physics of Semiconductor Devices
SSt Type ECTS
2
1
3
2
2
2
2
1
2
VO
UE
VU
VO
VO
VO
VO
UE
VO
3.0
1.5
5.0
3.0
3.0
3.0
3.0
2.0
3.0
Abbreviations: SSt: semester hours/contact hours; UE: exercise; VO: lecture; VU:
lecture with integrated exercises.
Part 7 of the Annex
Definitions
Major: The major has a workload of at least 40 ECTS credit points from one of the
technical catalogues of electives (c01–c08).
Minor: The minor has a workload of at least 20 ECTS credit points from one of the
catalogues of electives (c01–c08, b01), but the catalogue for the major may not be
chosen for this.
Elective subject: The elective subject is composed freely of courses for the master’s
degree programme in Information and Computer Engineering (c01–c08, s01, b01).
Compulsory subject: As part of admission to the master's degree programme in Information and Computer Engineering, courses from the bachelor's degree programme in Computer Engineering can be prescribed as a compulsory subject in the
master's degree programme in Information and Computer Engineering, the compulsory subject replacing the elective subject and possibly parts of the minor.
Free-choice subject: The free-choice subject is composed of free-choice courses offered by any recognised Austrian and foreign universities, universities of applied sciences and university colleges for education.
Master’s degree programme in Information and Computer Engineering
Curriculum 2015
Page 35 of 36
Graz University of Technology
Compulsory elective subject: A compulsory elective subject is a combination of related courses that can be individually determined or chosen from a catalogue of electives and then bears the name of the relevant catalogue of electives. The major or
minor can be replaced by a compulsory elective subject.
Catalogue of electives: The group of related courses determined in the curriculum,
from which subjects can be selected.
Supplementary catalogue: The group of supplementary courses determined in the
curriculum, which can be selected in the elective subject.
Compulsory course: A compulsory course is a course determined in the catalogue of
electives, which must be completed if this catalogue of electives is chosen.
Compulsory elective course: Regulations for compulsory elective courses can be determined in a catalogue of electives, requiring that courses must be completed if this
catalogue of electives is chosen.
Mentor: A mentor supports the student in his/her degree programme and has tasks
and rights that are defined in the curriculum in more detail.
Master’s degree programme in Information and Computer Engineering
Curriculum 2015
Page 36 of 36

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