Information and Computer Engineering

Transcription

1 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 (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 General provisions Object of study programme and qualification profile ECTS credit points Structure of the study programme Course content and semester plan a Catalogues of free electives b Free-choice subject Admission to examinations Examination regulations a Final examination before a committee b Diploma Transitional provisions Legal validity The date of approval refers to the German version of this curriculum. Curriculum 2015 Page 1 of 36

2 Annex to the curriculum of the master's degree programme in Information and Computer Engineering Subject descriptions Recognition and equivalence list Recommended free-choice courses Types of courses offered by TU Graz Admission to the study programme Balance Definitions General provisions (1) The engineering sciences master's degree programme in Information and Computer Engineering comprises four semesters. The total scope of the programme is 120 ECTS credit points. (2) The master's degree programme in Information and Computer Engineering is exclusively held in English according to 64 para. 6 UG. (3) Graduates of this programme are awarded the university degree of "Diplom- Ingenieurin"/"Diplom-Ingenieur", abbreviated: "Dipl.-Ing." or "DI". The international equivalent of this university degree is "Master of Science", abbreviated: "MSc". (4) Admission to a master's degree programme requires a subject-related bachelor's degree of a university or another equivalent degree according to 64 para. 5 UG. The master's programme in Information and Computer Engineering is based on the bachelor's degree programme in Information and Computer Engineering offered by TU Graz. Graduates of this degree programme as well as graduates of the bachelor s degree programme in Telematics offered by TU Graz to date shall be admitted to this master s degree programme without any further prerequisites. (5) Depending on the previous education of the applicant to the programme, up to 25 ECTS credit points from the courses of the above bachelor's degree programme in Information and Computer Engineering may be prescribed as part of the admission to the curriculum presented here for graduates of other bachelor's degree programmes. These prescribed courses reduce the workload outlined in the curriculum for achievements in elective subjects or minors accordingly. The details on this can be found in Part 5 of the Annex. The admission rules for selected bachelor's degree programmes are summarised in Part 5 of the Annex. However, a bachelor's degree programme that entitles the student to be admitted must comprise at least 180 ECTS credit points. In order to obtain an overall scope of 300 ECTS credit points for the graduate and postgraduate study programmes together, students shall not be assigned courses in the master's programme which they have already completed as part of their bachelor's degree and which were part of their qualification for the master's degree programme. Curriculum 2015 Page 2 of 36

3 (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 Curriculum 2015 Page 3 of 36

4 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. Curriculum 2015 Page 4 of 36

5 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. Major with at least 40 ECTS credit points min. 40 ECTS credit points Minor with at least 20 ECTS credit points min. 20 ECTS credit points Elective subject (assessed together with the minor) max. 14 ECTS credit points Seminar/project (assignable to the major or minor) 10 ECTS credit points Free-choice subject 6 ECTS credit points Total workload without master s thesis 90 ECTS credit points Master s thesis 30 ECTS credit points Total for the master s degree programme in Information and Computer Engineering 120 ECTS credit points 5a below contains a list of the individual courses of this master's programme and their allocation to the subjects. The semester allocation is a recommendation and ensures that the sequence of courses builds optimally on previous knowledge and that the workload of an academic year does not exceed 60 ECTS credit points. Courses that were used to complete the bachelor's degree programme to grant admission to this programme are not part of this master's degree programme. If compulsory courses that are provided for in this curriculum were already used as part of the bachelor's degree programme described above, they are to be replaced by 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 Curriculum 2015 Page 5 of 36

6 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. Curriculum 2015 Page 6 of 36

7 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 Semester incl. ECTS Subject Course SSt course ECTS I II III IV Seminar/project 6 SP Total for the major, minor and elective subjects according to 5a below Master's thesis Free-choice subject according to 5b below Total Abbreviation: SSt = semester hours Curriculum 2015 Page 7 of 36

8 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 ( c01 Secure and Correct Systems SSt CT ECTS 705 Advanced Computer Networks.0 Comp. elective 705 Advanced Computer Networks 1 KU 2.0 Comp. elective 705 Applied Cryptography.0 Comp. elective 705 Applied Cryptography 1 KU 2.0 Comp. elective 705 Applied Cryptography Applied Cryptography 2 1 KU Compiler Construction.0 Comp. elective 716 Compiler Construction 1 KU 2.0 Comp. elective 705 Digital System Design Digital System Design 1 KU Embedded Security 3 VU Fault-Tolerant Computing Systems Fault-Tolerant Computing Systems 1 UE Industrial Software Development and Quality Management Industrial Software Development and Quality Management 1 UE IT Security.0 Comp. elective 705 IT Security 1 KU 2.0 Comp. elective 705 Logic and Computability Logic and Computability 1 KU Logic and Logic Programming 2 VU Mathematical Foundations of Cryptography Mathematical Foundations of Cryptography 1 UE Problem Analysis and Complexity Theory 3 VU Quality Assurance in Software Development 2 VU Security Aspects in Software Development Security Aspects in Software Development 1 KU Selected Topics Design and Verification Selected Topics Design and Verification 1 UE Selected Topics IT Security Selected Topics IT Security 1 1 KU Selected Topics IT Security 2 2 SE Selected Topics Software Technology Selected Topics Software Technology 1 1 UE Selected Topics Software Technology Selected Topics Software Technology 2 1 UE Software Paradigms 3 VU Software Technology 3 VU 5.0 Comp. elective 716 Software Technology Tools 2 SE Software Technology, Seminar 2 SE Software-Maintenance 3 VU 4.5 Curriculum 2015 Page 8 of 36

9 705 Verification and Testing.0 Comp. elective 705 Verification and Testing 1 UE 2.0 Comp. elective 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). 705 Seminar Project Applied Information Processing 6 SP Seminar Project Software Technology 6 SP 10.0 c02 Computer Vision and Graphics SSt CT ECTS 710 Augmented Reality 3 VU 5.0 Compulsory 710 Computer Graphics VU 2.5 Compulsory 710 Computer Vision VU 2.5 Compulsory 711 Computer-Aided Geometric Design 3 VU Design and Analysis of Algorithm Design and Analysis of Algorithm 1 KU Discrete Differential Geometry Freeform curves and surfaces Freeform curves and surfaces 1 UE Geometric 3D-Modelling in Computer Graphics 3 VU Image-Based Measurement Image-Based Measurement, Laboratory 1 LU Image Processing and Pattern Recognition.0 Compulsory 710 Image Processing and Pattern Recognition 1 KU 2.0 Compulsory 710 Image Understanding Image Understanding 1 KU Information Visualisation 3 VU Mathematical Principles in Vision and Graphics 3 VU Medical Image Analysis Medical Image Analysis 1 KU Optimization for Computer Science Optimization for Computer Science 1 UE Pattern Recognition, Seminar 3 SE Photo Realism 3 VU Real-Time Graphics.0 Comp. elective 710 Real-Time Graphics 1 KU 2.0 Comp. elective 710 Real-Time Graphics 2 1 VO Real-Time Graphics 2 2 KU Research Seminar Virtual Reality 2 SE Robot Vision.0 Comp. elective 710 Robot Vision 1 KU 2.0 Comp. elective 710 Selected Topics Computer Graphics Selected Topics Computer Graphics 1 KU Selected Topics Computer Vision Selected Topics Computer Vision 1 KU Simulation and Animation 3 VU Virtual Reality 4 VU 7.0 Total ECTS 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 Seminar Project Image Analysis 6 SP 10.0 c03 Robotics and Computational Intelligence SSt CT ECTS 442 Adaptive Systems Adaptive Systems 1 UE Advanced Robotics.0 Curriculum 2015 Page 9 of 36

10 716 Advanced Robotics 1 LU Automation of Mechatronic Systems Automation of Mechatronic Systems, Laboratory 1 LU Computational Intelligence.0 Compulsory 708 Computational Intelligence 1 UE 1.5 Compulsory 708 Computational Intelligence Seminar A 2 SE Computational Intelligence Seminar B 2 SE Construction of Mobile Robots 2 PR Control of Electric Drives and Machines Control of Electric Drives and Machines, Laboratory 2 LU Expert Systems Expert Systems 1 KU Integrated Navigation Integrated Navigation 1 UE Introduction to Electric Drive Systems 1.5 VO Kinematics and Robotics Kinematics and Robotics 1 LU Machine Learning.0 Comp. elective 708 Machine Learning 1 KU 2.0 Comp. elective 708 Autonomously Learning Systems.0 Comp. elective 708 Autonomously Learning Systems 1 KU 2.0 Comp. elective 437 Methods of Simulation of Mechatronic Systems Methods of Simulation of Mechatronic Systems 1 UE Mobile Robots.0 Compulsory 305 Mobile Robots 1 UE 2.0 Compulsory 431 Modelling and Simulation of Electric Drive Systems and Machines Modelling and Simulation of Electric Drive Systems and Machines 2 LU Modelling Technical Systems Modelling Technical Systems 1 UE Navigation Systems 2 VU Neural Networks.0 Comp. elective 708 Neural Networks 1 KU 2.0 Comp. elective 708 Principles of Brain Computation.0 Comp. elective 708 Principles of Brain Computation 1 KU 2.0 Comp. elective 442 Nonlinear Signal Processing.0 Compulsory 442 Nonlinear Signal Processing 1 UE 2.0 Compulsory 716 Recommender Systems 2 VU Robot Vision Robot Vision 1 KU Selected Topics Robotics and Computational Intelligence 2 SE State Estimation and Filtering State Estimation and Filtering 1 UE 2.0 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 Seminar Project Robotics 6 SP Seminar Project Signal Processing 6 SP 10.0 c04 Signal Processing and Human Communication SSt CT ECTS 442 Adaptive Systems.0 Compulsory 442 Adaptive Systems 1 UE 2.0 Compulsory 442 Advanced Signal Processing 1, Seminar 2 SE Advanced Signal Processing 2, Seminar 2 SE 3.5 K17 Algorithms in Acoustics and Computer Music 01.0 K17 Algorithms in Acoustics and Computer Music 01 1 UE 1.5 Curriculum 2015 Page 10 of 36

11 717 Biosignal Processing Biosignal Processing 2 UE Cognitive Neuroscience Computational Biology 2 LU Computational Biology Digital Audio Engineering Digital Audio Engineering Digital Audio Engineering, Laboratory 2 LU Digital Signal Processing Laboratory 2 LU Information Processing in Humans Linguistic Foundations of Speech and Language Technology Methods of Functional Brain Research Mixed-Signal Processing Systems Design 2 VU Principles of Brain Computation Principles of Brain Computation 1 KU Neurocomputing, Seminar 2 SE Non-Invasive Brain-Computer Interfaces 2 KU 3.0 Comp. elective 709 Non-Invasive Brain-Computer Interfaces.0 Comp. elective 442 Nonlinear Signal Processing Nonlinear Signal Processing 1 UE 2.0 K17 Psychoacoustics 01.0 K17 Psychoacoustics Rehabilitation Engineering Selected Topics Signal, Biosignal and Speech Processing 2 SE Signal Analysis.0 Compulsory 438 Signal Analysis 1 UE 2.0 Compulsory 438 Signal Analysis, Laboratory 2 LU Signal Processors Signal Processors, Laboratory 1 LU Speech Communication 1.0 Comp. elective 442 Speech Communication Speech Communication Laboratory 2 LU 4.0 Comp. elective 442 Spoken Language in Human and Human-Computer Dialogue 2 VU Statistical Signal Processing.0 Comp. elective 438 Statistical Signal Processing 1 UE 2.0 Comp. elective Total ECTS Selection of compulsory courses For the major, students must complete all of the compulsory courses and either Non-Invasive Brain- Computer Interfaces (VO + KU), or Statistical Signal Processing (VO+UE), or Speech Communication 1 VO and Speech Communication Laboratory. For the minor, they must complete all of the compulsory courses. 709 Seminar Project Brain-Computer Interface 6 SP Seminar Project Signal Processing 6 SP Seminar Project Speech Communication 6 SP 10.0 c05 Communications and Mobile Computing SSt CT ECTS 442 Adaptive Systems Adaptive Systems 1 UE Antennas and Wave Propagation Antennas and Wave Propagation 1 UE Applied Microwave Systems Communication Systems, Laboratory 1 LU Computational Electromagnetics Context-Aware Computing.0 Comp. elective 448 Context-Aware Computing 1 UE 2.0 Comp. elective 437 Electrodynamics ICE.0 Compulsory 437 Electrodynamics ICE 1 UE 1.5 Compulsory 442 Fundamentals of Digital Communications.0 Comp. elective Curriculum 2015 Page 11 of 36

12 442 Fundamentals of Digital Communications 1 UE 2.0 Comp. elective 451 HF-Engineering HF-Engineering 1 UE HF-Engineering, Laboratory 1 LU Information Theory and Coding.0 Comp. elective 440 Information Theory and Coding 1 UE 2.0 Comp. elective 451 Introduction to Microwave Engineering.0 Comp. elective 451 Introduction to Microwave Engineering 1 UE 2.0 Comp. elective 448 Mobile Computing, Laboratory 2 LU Mobile Computing, Seminar 3 SE 5.0 Compulsory 442 Mobile Radio Systems Numerical Optimization Numerical Optimization 1 UE Optoelectronical Communication Engineering 3 VO Optoelectronical Communication Engineering 1 UE Power-Aware Computing 2 VU Power-Aware Computing, Laboratory 1 LU Radar Seminar 1.5 SE Introduction to Radar Systems Satellite Communications Satellite Communications 1 UE Selected Topics Communications and Mobile Computing 2 SE Sensor Networks 2 VU Sensor Networks, Laboratory 2 LU Simulation of Time-Dependent Fields Simulation of Time-Dependent Fields 1 UE Smart Antennas 2 VU Smart Service Development Smart Service Development 1 UE Software Defined Radio Telecommunication Systems Wireless Communication Networks and Protocols 1 VO 1.5 Total ECTS 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 Seminar Project Technical Informatics 6 SP Seminar Project Telecommunications 6 SP 10.0 c06 Embedded and Automotive Systems SSt CT ECTS 448 Selected Topics Embedded and Automotive Systems 2 SE Automotive Electronics Automotive Electronics, Laboratory 2 LU Automotive Engineering for Embedded Automotive Systems.0 Comp. elective 438 Automotive Measurement Automotive Measurement, Laboratory 1 LU Automotive Sensors and Actuators Automotive Sensors and Actuators, Laboratory 2 LU Design of Real-Time Systems, Laboratory 2 LU Design Patterns Design Patterns 1 UE Distributed Embedded Systems, Seminar 3 SE 5.0 Compulsory 261 Dynamical Systems 3 VU 5.0 Comp. elective 439 Electromagnetic Compatibility of Electronic Systems Electromagnetic Compatibility of Electronic Systems Laboratory 1 LU Embedded Automotive Software 2 VU 3.5 Comp. elective 448 Embedded Systems.0 Compulsory Curriculum 2015 Page 12 of 36

13 448 Embedded Systems, Laboratory 1 LU 2.0 Compulsory 448 Fault-Tolerant Computing Systems Fault-Tolerant Computing Systems 1 UE Industrial Software Development and Quality Management Industrial Software Development and Quality Management 1 UE Innovative Power Trains Introduction to Electric Machines Microcontroller Design, Laboratory 4 LU On-Board Diagnosis On-Board Diagnosis, Laboratory 1 LU Piston Engines, Introduction Process Automation Process Automation, Laboratory 2 LU Process Instrumentation Process Instrumentation, Laboratory 2 LU Real-Time Bus Systems 1 VO Real-Time Bus Systems, Laboratory 1 LU Real-Time Operating Systems.0 Comp. elective 448 Real-Time Operating Systems 1 LU 1.5 Comp. elective 438 Testing and Verification Methods for Distributed Software Systems Introduction to Thermodynamics Vibration Measurement Vibration Measurement, Laboratory 1 LU 2.0 Total ECTS 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 Seminar Project Measurement Techniques 6 SP Seminar Project Technical Informatics 6 SP 10.0 c07 Measurement and Control Systems SSt CT ECTS 443 Automatic Control, Supplement Basics of Nonlinear Control Systems 1 UE 2.0 Compulsory 443 Basics of Nonlinear Control Systems.0 Compulsory 443 Computer-Aided Control System Design Computer-Aided Control System Design 2 UE Computer-Aided System Modelling and Simulation Computer-Aided System Modelling and Simulation 1 UE Control Systems 2.0 Compulsory 443 Control Systems 2 1 UE 1.5 Compulsory 443 Descriptor Systems 2 VU Design of Optimal Systems Design of Optimal Systems 1 UE Mathematics for Engineers Mathematics for Engineers 1 UE Measurement Measurement Signal Processing Measurement Signal Processing, Laboratory 2 LU Mechatronic Systems Modelling Mechatronic Systems Modelling 1 UE Microcontroller 1.5 VO Microcontroller 2 UE Modelling and Simulation of Electric Drive Systems and Machines Modelling and Simulation of Electric Drive Systems and Machines 2 LU Multivariable Systems Multivariable Systems 1 UE 2.0 Curriculum 2015 Page 13 of 36

14 443 Nonlinear Control Systems Nonlinear Control Systems 1 UE Numerical Optimization Numerical Optimization 1 UE Optical Measurement Principles Physical Effects for Sensors Process Automation.0 Compulsory 443 Process Automation, Laboratory 2 LU 4.0 Compulsory 438 Process Instrumentation Process Instrumentation, Laboratory 2 LU Selected Topics Measurement and Control Design 2 SE State Estimation and Filtering State Estimation and Filtering 1 UE System Theory System Theory 1 UE 2.0 Total ECTS 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 Seminar Project Measurement Techniques 6 SP Seminar Project Modelling, Simulation, and Control 6 SP 10.0 c08 Microelectronics and IC Design SSt CT ECTS 439 Advanced Analog IC Design 1 3 VU Advanced Analog IC Design 2 3 VU Analog Circuit Laboratory 3 LU Analog IC Design 1.0 Compulsory 439 Analog IC Design 1 2 UE 3.0 Compulsory 439 Analog IC Design 2.0 Comp. elective 439 Analog IC Design 2 2 UE 3.0 Comp. elective 439 Analog IC Layout 1 2 UE Analog IC Layout 2 1 VU Basics of Microelectronics Circuit Simulation 1 VO 1.5 Comp. elective 439 Circuit Simulation 2 UE 3.0 Comp. elective 439 Compact Modelling and Robust IC Design 1 VU Development of Electronic Systems 4 VO Digital Circuit Laboratory 3 LU Digital System Design.0 Compulsory 705 Digital System Design 1 KU 2.0 Compulsory 439 Electromagnetic Compatibility of Electronic Systems Electromagnetic Compatibility of Electronic Systems Laboratory 1 LU Electromagnetic Compatibility of ICs 1 VO Evaluation of ICs Laboratory 3 LU Hardware Description Languages Hardware Description Languages 1 UE Hardware-Software-Codesign Hardware-Software-Codesign 1 UE IC Design Fundamentals.0 Comp. elective 439 IC Design Fundamentals 2 UE 3.0 Comp. elective 439 IC Design Project Management and Quality 1 VO Methods for IC Evaluation and Failure Analysis 2 VU Micro-Electromechanical Systems Microwave Measurement 2 VU Noise and Crosstalk in ICs 2 VU Physics of Semiconductor Devices Practical Analog Circuit Design 2 UE Practical Analog Circuit Design, Laboratory 2 LU 2.0 Curriculum 2015 Page 14 of 36

15 439 Production Test and Design for Test RF and Microwave Component Design 2 VU Selected Topics Advanced Analog IC Design 2 SE Selected Topics RFID System-on-Chip Architectures and Modelling 3 VU 5.0 Comp. elective Total ECTS 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). 439 Seminar Project Electronics 6 SP Seminar Project Measurement Techniques 6 SP Seminar Project Technical Informatics 6 SP 10.0 s01 Supplementary catalogue SSt CT ECTS 439 Application of Microprocessors Application of Microprocessors, Laboratory 1 LU Basic Experiments in Electrodynamics, Laboratory 2 LU Bioinformatics 2 LU Combinatorial Optimization 1 3 VO Combinatorial Optimization 1 1 UE Computational Geometry Computational Geometry 1 UE Computational Medicine Computational Medicine 2 LU Electronic Circuit Design Embedded Internet 2 VU Embedded Internet 2 LU Graph Theoretic Algorithms 3 VO Graph Theoretic Algorithms 1 UE Interdisciplinary team-taught lecture series: Trends in Neurorehabilitation Power Electronics-based Solid State Energy Converters Laboratory Information and Management Systems Mathematical Analysis of Algorithms 3 VO Mathematical Analysis of Algorithms 1 UE RFID Systems Simulation of Static Fields Simulation of Static Fields 1 UE Software Development in Distributed Environments 3 VU 5.0 Total ECTS 70.5 b01 Business, Law, and Management SSt CT ECTS 374 Business Informatics 1 VO Business Informatics 2 UE Business Sociology Company's Management of Innovation 1 VO Company's Management of Innovation 2 UE Controlling Controlling 1 UE Creativity Techniques 1 VO Creativity Techniques 1 UE Diversity Management 1: Basic Principles 2 SE Encyclopedia Business Economics 3 VO 4.5 Compulsory 373 Encyclopedia Business Economics 2 UE 3.0 Compulsory 372 Entrepreneurship and Start-Up of Corporation Entrepreneurship and Start-Up of Corporation 1 UE General Management and Organization General Management Exercises 2 UE 3.0 Curriculum 2015 Page 15 of 36

16 372 General Management, Case Studies 1 VO General Management, Case Studies 2 UE Industrial Management 3 VO Industrial Management 3 UE Information and Communication Management 1 VO Information and Communication Management 1 UE Information Management 1 VO Information Management 2 UE Intercultural Social Competence for Business 2 SE International Economic Relationship 1 VO Logistics 1 VO Logistics 1 UE Marketing Management Marketing Management 1 UE Process Management Process Management 2 UE Product Innovation Project 3 PR Production Planning & Control Production Planning & Control 2 UE Project Management Quantitative Methods for Business Quantitative Methods for Business 3 UE Selected Topics Business Informatics Selected Topics Business Informatics 1 UE Start-Ups and Small Business Management 3 VU Value Management I 1 VO Value Management I 1 UE Value Management II 1 VO Value Management II 3 UE Complexity and Dynamics in the Information- and Knowledge-Society 2 SE 2.0 U73 Concepts of Technology Assessments 2 SE Energy and Environment English for Engineers (Advanced Professional Meetings) 2 SE English for Engineers (Advanced Oral Skills) 2 SE 2.0 U73 Gender and Technology I 2 SE 5.0 U73 Gender and Technology II 2 SE Management of the Environment.0 U73 Methods of Inter- and Transdisciplinary Research 2 SE Nuclear Power and Environment.0 U40 Sustainable Innovation 2 KS 4.0 U73 Technology - Ethics - Politics 2 VO Civil Law and Law of Business Enterprises 3 VO Industrial Law (Labour Law) Insurance Law 4 VO 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.0 Total ECTS Selection of compulsory courses For the minor, students must complete all compulsory courses. Instead of the two courses "English for Engineers (Advanced Professional Meetings)" and "English for Engineers (Advanced Oral Skills)", other courses can also be Curriculum 2015 Page 16 of 36

17 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 Curriculum 2015 Page 17 of 36

18 ranked by date. d) 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. e) 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. f) 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. Curriculum 2015 Page 18 of 36

19 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 VU Advanced Analog IC Design VU Analog IC Layout VU Compact Modelling and Robust IC Design 1.0 VU Descriptor Systems 2.0 VU Dynamical Systems 3.0 VU Embedded Automotive Software 2.0 VU Embedded Internet 2.0 VU Logic and Logic Programming 2.0 VU Methods for IC Evaluation and Failure Analysis 2.0 VU Microwave Measurement 2.0 VU Mixed-Signal Processing Systems Design 2.0 VU Navigation Systems 2.0 VU Noise and Crosstalk in ICs 2.0 VU Power-Aware Computing 2.0 VU Quality Assurance in Software Development 2.0 VU Recommender Systems 2.0 VU RF and Microwave Component Design 2.0 VU Sensor Networks 2.0 VU Smart Antennas 2.0 VU Spoken Language in Human and Human-Computer Dialogue 2.0 VU Virtual Reality 4.0 VU Abbreviations: SST: semester hours; UE: exercise; VO: lecture; VU: lecture with integrated exercises SSt VO SSt UE 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. Curriculum 2015 Page 19 of 36

20 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 are entitled to continue and complete their studies until according to the previously valid curriculum as published in the University Gazette of TU Graz dated 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 Curriculum 2015 Page 20 of 36

21 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) algo- Curriculum 2015 Page 21 of 36

22 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 inde- Curriculum 2015 Page 22 of 36

23 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, Curriculum 2015 Page 23 of 36

24 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 Present curriculum for 2015 New course SSt Type EC TS Previous curriculum for 2006, version 2013 Old course SSt Type Accounting and Balancing 1 VO 1.5 Buchhaltung und Bilanzierung 1 VO 1.5 Accounting and Balancing 1 UE 1.5 Buchhaltung und Bilanzierung 1 UE 1.5 Algorithms in Acoustics and Algorithmen in Akustik und Computer Music 01 Computermusik 01 Algorithms in Acoustics and Algorithmen in Akustik und 1 UE 1.5 Computer Music 01 Computermusik 01 1 UE 1.5 Analog Circuit Laboratory 3 LU 4 Analoge Schaltungstechnik, Labor 3 LU 4 Analog IC Design 1 Analog Integrated Circuit Design and Simulation 1 Analog IC Design 1 2 UE 3 Analog Integrated Circuit Design and Simulation 1 2 UE 3 Analog IC Design 2 Analog Integrated Circuit Design and Simulation 2 Analog IC Design 2 2 UE 3 Analog Integrated Circuit Design and Simulation 2 2 UE 3 Analog IC Layout 1 2 UE 3.5 Layout Techniken 2 UE 4 Analog IC Layout 2 1 VU 1.5 Advanced Layout Techniques 1 VU 1.5 Antennas and Wave Propagation Antennen und Wellenausbreitung Antennas and Wave Propagation 1 UE 2 Antennen und Wellenausbreitung 1 UE 2 Application of Microprocessors Geräteentwurf mit Mikroprozessoren Application of Microprocessors, 1 LU 2 Geräteentwurf mit Mikroprozessoren, 1 LU 2 EC TS Curriculum 2015 Page 24 of 36

25 Laboratory Labor Applied Cryptography Angewandte Kryptografie Applied Cryptography 1 KU 2 Angewandte Kryptografie 1 KU 2 Applied Cryptography 2 Angewandte Kryptografie 2 Applied Cryptography 2 1 KU 2 Angewandte Kryptografie 2 1 KU 2 Automatic Control, Supplement Regelungstechnik, Ergänzungen Automation of Mechatronic Systems Automatisierung mechatronischer Systeme Automation of Mechatronic Systems, Automatisierung mechatronischer 1 LU 2 Laboratory Systeme, Labor 1 LU 2 Automotive Electronics Automotive Elektronik Automotive Electronics, Laboratory 2 LU 3 Automotive Elektronik, Labor 2 LU 3 Automotive Engineering for Embedded Automotive Systems Elektrotechnik und Telematik Fahrzeugtechnik Grundlagen für Automotive Measurement Kraftfahrzeugmesstechnik Automotive Measurement, Laboratory 1 LU 2 Kraftfahrzeugmesstechnik, Labor 1 LU 2 Automotive Sensors and Actuators KFZ Sensoren und Aktuatoren Automotive Sensors and Actuators, KFZ Sensoren und Aktuatoren, 2 LU 4 2 LU 4 Laboratory Labor Autonomously Learning Systems Machine Learning B Autonomously Learning Systems 1 KU 2 Machine Learning B 1 KU 2 Basics of Nonlinear Control Systems 1 UE 2 Grundlagen nichtlinearer Systeme 1 UE 2 Basic Experiments in Electrodynamics, Laboratory Labor Elektrodynamische Grundversuche, 2 LU 2 2 LU 2 Basics of Microelectronics Grundlagen der Mikroelektronik Basics of Nonlinear Control Systems Grundlagen nichtlinearer Systeme Bioinformatics 2 LU 3 Bioinformatik 2 LU 3 Biosignal Processing Biosignalverarbeitung Biosignal Processing 2 UE 2.5 Biosignalverarbeitung 2 UE 2.5 Business Economics 3 VO 4.5 Betriebswirtschaftslehre 3 VO 4.5 Business Economics 2 UE 2 Betriebswirtschaftslehre 2 UE 2 Business Sociology Betriebssoziologie Circuit Simulation 1 VO 1.5 Schaltungssimulation 1 VO 1.5 Circuit Simulation 2 UE 3 Schaltungssimulation 2 UE 3 Civil Law and Law of Business Bürgerliches Recht und 3 VO VO 4.5 Enterprises Unternehmensrecht Cognitive Neuroscience Cognitive Neuroscience Combinatorial Optimization 1 3 VO 4.5 Kombinatorische Optimierung 1 3 VO 4.5 Combinatorial Optimization 1 1 UE 2 Kombinatorische Optimierung 1 1 UE 2 Communication Systems, Laboratory 1 LU 2 Kommunikationssysteme, Labor 1 LU 2 Compact Modelling and Robust IC Compact Modelling and Statistical 1 VU 1.5 Design Simulation 1 VU 1.5 Company's Management of Innovatioment Betriebliches Innovationsmanage- 1 VO VO 1.5 Company's Management of Innovatioment Betriebliches Innovationsmanage- 2 UE 2 2 UE 2 Compiler Construction Compilerbau Compiler Construction 1 KU 2 Compilerbau 1 KU 2 Komplexität und Dynamik in der Complexity and Dynamics in the 2 SE 2 Informations- und Wissensgesellschaft 2 SE 2 Information- and Knowledge-Society Computational Electromagnetics Numerische Feldberechnung Computational Geometry Geometrische Algorithmen Computational Geometry 1 UE 1.5 Geometrische Algorithmen 1 UE 1.5 Computer-Aided System Modelling Computerunterstützte Modellbildung and Simulation und Simulation Computer-Aided System Modelling 1 UE 2 Computerunterstützte Modellbildung 1 UE 2 Curriculum 2015 Page 25 of 36

26 and Simulation und Simulation Computer Graphics VU 2.5 Computergrafik VU 2.5 Computer Vision VU 2.5 Computer Vision VU 2.5 Concepts of Technology Assessments Technikfolgenabschätzung Konzepte der 2 SE 4 2 SE 4 Construction of Mobile Robots 2 PR 5 Konstruktion Mobiler Roboter 2 PR 5 Control of Electric Drives and Machines Regelung elektrischer Antriebe Control of Electric Drives and Regelung elektrischer Antriebe, 2 LU 3 Machines, Laboratory Labor 2 LU 3 Cost Accounting 1 VO 1.5 Kosten- und Erfolgsrechnung 1 VO 1.5 Cost Accounting 2 UE 3 Kosten- und Erfolgsrechnung 2 UE 3 Descriptor Systems 2 VU 3.5 Deskriptorsysteme 2 VU 3.5 Design and Analysis of Algorithms Entwurf und Analyse von Algorithmen Design and Analysis of Algorithms 1 KU 1.5 Entwurf und Analyse von Algorithmen 1 KU 1.5 Design of Optimal Systems Entwurf optimaler Systeme Design of Optimal Systems 1 UE 2 Entwurf optimaler Systeme 1 UE 2 Design of Real-Time Systems, Laboratory 2 LU 4 Entwurf von Echtzeitsystemen, Labor 2 LU 4 Development of Electronic Systems 4 VO 6 Konstruktion elektronischer Geräte und Systeme 4 VO 6 Digital Audio Engineering 1 Digitale Audiotechnik 1 Digital Audio Engineering 2 Digitale Audiotechnik 2 Digital Audio Engineering, Laboratory 2 LU 3 Digitale Audiotechnik, Labor 2 LU 3 Digital Circuit Laboratory 3 LU 4 Digitale Schaltungstechnik, Labor 3 LU 4 Digital System Design VLSI Design Digital System Design 1 KU 2 VLSI Design 1 KU 2 Discrete Differential Geometry Diskrete Differentialgeometrie Distributed Embedded Systems, Seminar 3 SE 5 Verteilte Systeme, Seminar 3 SE 5 Diversity Management 1: Diversity Management 1: 2 SE 2 Basic Principles Grundlagen 2 SE 2 Dynamical Systems 3 VU 5 Dynamische Systeme 3 VU 5 Economics for Electrical Engineers 1 VO 1.5 Wirtschaft für ElektrotechnikerInnen 1 VO 1.5 Electrodynamics ICE Elektrodynamik TE Electrodynamics ICE 1 UE 1.5 Elektrodynamik TE 1 UE 1.5 Electromagnetic Compatibility of Elektromagnetische Verträglichkeit Electronic Systems elektronischer Systeme Electromagnetic Compatibility of Elektromagnetische Verträglichkeit 1 LU 2 Electronic Systems Laboratory elektronischer Systeme, Labor 1 LU 2 Electromagnetic Compatibility of ICs 1 VO 1.5 EMV Integrierter Schaltungen 1 VO 1.5 Electronic Circuit Design 3 Elektronische Schaltungstechnik 3 Embedded Security 3 VU 5 Hardware Security 3 VU 5 Embedded Systems, Laboratory 1 LU 2 Embedded Systems, Labor 1 LU 2 Energy and Environment Energie und Umwelt English for Engineers (Advanced - Englisch für TechnikerInnen (Perfektionsstufe - Professional Meetings) 2 SE 2 Professional Meetings) 2 SE 2 English for Engineers (Advanced Oral Englisch für TechnikerInnen (Perfektionsstufe - mündliche Kompetenz) 2 SE 2 Skills) 2 SE 2 Entrepreneurship and Start-Up of Corporation Unternehmungsgründung Entrepreneurship and Start-Up of Corporation 1 UE 1.5 Unternehmungsgründung 1 UE 1.5 Evaluation of ICs Laboratory 3 LU 4.5 Testen Integrierter Schaltungen, Labor 3 LU 4.5 Expert Systems Wissensverarbeitung (Expertensysteme) Curriculum 2015 Page 26 of 36

27 Expert Systems 1 KU 2 Wissensverarbeitung (Expertensysteme) 1 KU 2 Fault-Tolerant Computing Systems Fehlertolerante Rechnersysteme Fault-Tolerant Computing Systems 1 UE 2 Fehlertolerante Rechnersysteme 1 UE 2 Freeform Curves and Surfaces Freiformkurven/Freiformflächen Freeform Curves and Surfaces 1 UE 1.5 Freiformkurven/Freiformflächen 1 UE 1.5 Gender and Technology I 2 SE 5 Technik-Bildung und Geschlecht I 2 SE 5 Gender and Technology II 2 SE 4 Technik-Bildung und Geschlecht II 2 SE 4 General Management and Unternehmungsführung und Organization Organisation Unternehmungsführung und General Management Exercises 2 UE 3 2 UE 3 Organisation Geometric 3D-Modelling in Computer Geometrisches 3D-Modellieren in 3 VU 5 3 VU 5 Graphics der Computergrafik Graph Theoretic Algorithms 3 VO 4.5 Algorithmische Graphentheorie 3 VO 4.5 Graph Theoretic Algorithms 1 UE 2 Algorithmische Graphentheorie 1 UE 2 Hardware Description Languages Hardwarebeschreibungssprachen Hardware Description Languages 1 UE 1.5 Hardwarebeschreibungssprachen 1 UE 1.5 HF-Engineering Hochfrequenztechnik HF-Engineering 1 UE 2 Hochfrequenztechnik 1 UE 2 HF-Engineering, Laboratory 1 LU 2 Hochfrequenztechnik, Labor 1 LU 2 IC Design Fundamentals Integrierte Schaltungen IC Design Fundamentals 2 UE 3 Integrierte Schaltungen 2 UE 3 Image Based Measurement Bildgestützte Messverfahren Image Based Measurement, Laboratory 1 LU 2 Bildgestützte Messverfahren, Labor 1 LU 2 Image Processing and Pattern Bildverarbeitung und Recognition Mustererkennung Image Processing and Pattern Bildverarbeitung und 1 KU 2 Recognition Mustererkennung 1 KU 2 Image Understanding Bildverstehen Image Understanding 1 KU 2 Bildverstehen 1 KU 2 Industrial Law (Labour Law) Arbeitsrecht Industrial Management 3 VO 4.5 Industriebetriebslehre 3 VO 4.5 Industrial Management 3 UE 3 Industriebetriebslehre 3 UE 3 Information and Communication Management 1 VO 1.5 IuK-Management in der Praxis 1 VO 1.5 Information and Communication Management 1 UE 1.5 IuK-Management in der Praxis 1 UE 1.5 Information Processing in Humans Informationsverarbeitung im Menschen Innovative Power Trains Innovative Fahrzeugantriebe Insurance Law 4 VO 6 Versicherungsrecht 4 VO 6 Intensive Studies in Law of Business Enterprises Unternehmensrecht, Vertiefung Intercultural Social Competence for Intercultural Social Competence for 2 SE 2 Business Business 2 SE 2 Interdisciplinary team-taught lecture Interuniversitäre Ringvorlesung: series: Trends in Neurorehabilitation Trends in der Neurorehabilitation International Economic Relationship 1 VO 1.5 Internationale Wirtschaftsbeziehungen 1 VO 1.5 Introduction to Electric Drive Systems 1.5 VO 2 Grundlagen elektrischer Antriebe 1.5 VO 2 Introduction to Electric Machines Grundlagen elektrischer Maschinen Introduction to Microwave Engineering Hochfrequenztechnik Grundlagen der Introduction to Microwave Engineering Hochfrequenztechnik Grundlagen der 1 UE 2 1 UE 2 Power Electronics based Solid State Energy Converters Stromrichtertechnik Curriculum 2015 Page 27 of 36

28 Introduction to the Austrian Constitution Staatswissenschaften IT Security IT-Sicherheit IT Security 1 KU 2 IT-Sicherheit 1 KU 2 Kinematics and Robotics Kinematik und Robotik Kinematics and Robotics 1 LU 2 Kinematik und Robotik 1 LU 2 Laboratory Information and Management Systems -managementsysteme Laborinformations- und Law of Taxation Steuerrecht Linguistic Foundations of Speech and Linguistische Grundlagen der Language Technology Sprachtechnologie Logic and Computability Logik und Berechenbarkeit Logic and Computability 1 KU 1.5 Logik und Berechenbarkeit 1 KU 1.5 Logic and Logic Programming 2 VU 3.5 Logik und Logische Programmierung 2 VU 3.5 Logistics 1 VO 1.5 Logistik Management 1 VO 1.5 Logistics 1 UE 1.5 Logistik Management 1 UE 1.5 Machine Learning Machine Learning A Machine Learning 1 KU 2 Machine Learning A 1 KU 2 Management of the Environment Umweltmanangement Mathematical Analysis of Algorithms 3 VO 5 Mathematische Analyse von Algorithmen 3 VO 5 Mathematical Analysis of Algorithms 1 UE 2 Mathematische Analyse von Algorithmen 1 UE 2 Mathematical Foundations of Mathematische Grundlagen der Cryptography Kryptografie Mathematical Foundations of Mathematische Grundlagen der 1 UE 2 Cryptography Kryptografie 1 UE 2 Mathematical Principles in Vision and Mathematische Grundlagen in 3 VU 5 Graphics Vision & Grafik 3 VU 5 Mathematics for Engineers Mathematische Methoden für Ingenieure Mathematics for Engineers 1 UE 2 Mathematische Methoden für Ingenieure 1 UE 2 Measurement 2 Messtechnik 2 Measurement Signal Processing Messsignalverarbeitung Measurement Signal Processing, Laboratory 2 LU 4 Messsignalverarbeitung, Labor 2 LU 4 Mechatronic Systems Modelling Modellierung mechatronischer Systeme Mechatronic Systems Modelling 1 UE 2 Modellierung mechatronischer Systeme 1 UE 2 Medical Image Analysis Medizinische Bildanalyse Medical Image Analysis 1 KU 2 Medizinische Bildanalyse 1 KU 2 Methods of Functional Brain Research Gehirnforschung Methoden der funktionellen Methods of Inter- and Methoden inter- und 2 SE 4 Transdisciplinary Research transdisziplinärer Forschung 2 SE 4 Methods of Simulation of Mechatronic Simulationsverfahren für Systems mechatronische Systeme Methods of Simulation of Mechatronic Simulationsverfahren für 1 UE 1.5 Systems mechatronische Systeme 1 UE 1.5 Micro-Electromechanical Systems Mikroelektromechanische Systeme Microwave Measurement 2 VU 3 HF-Messtechnik 2 VU 3 Mobile Computing, Laboratory 2 LU 3.5 Mobile Computing, Labor 2 LU 3.5 Mobile Computing, Seminar 3 SE 5 Mobile and Nomadic Computing, Seminar 3 SE 5 Modelling and Simulation of Electric Modellierung und Simulation Drive Systems and Machines elektrischer Antriebe Modelling and Simulation of Electric Modellierung und Simulation 2 LU 3 Drive Systems and Machines elektrischer Antriebe, Labor 2 LU 3 Curriculum 2015 Page 28 of 36

29 Modelling Technical Systems Modellierung technischer Systeme Modelling Technical Systems 1 UE 2 Modellierung technischer Systeme 1 UE 2 Multivariable Systems Mehrgrößensysteme Multivariable Systems 1 UE 2 Mehrgrößensysteme 1 UE 2 Neural Networks Neural Networks A Neural Networks 1 KU 2 Neural Networks A 1 KU 2 Neurocomputing, Seminar 2 SE 3.5 Neurocomputing, Seminar 2 SE 3.5 Noise and Crosstalk in ICs 2 VU 3 Noise and Crosstalk, Modelling and Simulation 2 VU 3 Nonlinear Control Systems Nichtlineare Regelungssysteme Nonlinear Control Systems 1 UE 2 Nichtlineare Regelungssysteme 1 UE 2 Nuclear Power and Environment Kernenergie und Umwelt Numerical Optimization Numerische Optimierungsverfahren Numerical Optimization 1 UE 2 Numerische Optimierungsverfahren 1 UE 2 On-Board Diagnosis, Laboratory 1 LU 1.5 On Board Diagnose, Labor 1 LU 1.5 Optical Measurement Principles Optische Methoden in der Messtechnik Optoelectronical Communication Engineering 3 VO 4.5 Optische Nachrichtentechnik 3 VO 4.5 Optoelectronical Communication Engineering 1 UE 2 Optische Nachrichtentechnik 1 UE 2 Patent Law Patentrecht Pattern Recognition, Seminar 3 SE 5 Seminar Mustererkennung 3 SE 5 Photo Realism 3 VU 5 Fotorealismus 3 VU 5 Physical Effects for Sensors Physikalische Effekte für Sensoren Physics of Semiconductor Devices Physik der Halbleiterbauelemente Piston Engines, Introduction Einführung Kolbenmaschinen Practical Analog Circuit Design 2 UE 3 Dimensionierung elektronischer Schaltungen 2 UE 3 Practical Analog Circuit Design, Laboratory Schaltungen, Labor Dimensionierung elektronischer 2 LU 2 2 LU 2 Principles of Brain Computation Neural Networks B Principles of Brain Computation 1 KU 2 Neural Networks B 1 KU 2 Problem Analysis and Complexity Problemanalyse und 3 VU 5 3 VU 5 Theory Komplexitätstheorie Process Automation Prozessautomatisierung Process Automation, Laboratory 2 LU 4 Prozessautomatisierung, Labor 2 LU 4 Process Instrumentation Prozessinstrumentierung Process Instrumentation, Laboratory 2 LU 4 Prozessinstrumentierung, Labor 2 LU 4 Process Management Prozessmanagement Process Management 2 UE 3 Prozessmanagement 2 UE 3 Project Management Projektmanagement Psychoacoustics 01 Psychoakustik 01 Psychoacoustics 02 Psychoakustik 02 Quality Assurance in Software Qualitätssicherung in der 2 VU VU 2.5 Development Softwareentwicklung Radar Seminar 1.5 SE 2.5 Radartechnik, Seminar 1.5 SE 2.5 Introduction to Radar Systems Radartechnik Real-Time Bus Systems 1 VO 1.5 Echtzeit-Bussysteme 1 VO 1.5 Real-Time Bus Systems, Laboratory 1 LU 2 Echtzeit-Bussysteme, Labor 1 LU 2 Real-Time Graphics Echtzeit-Grafik Real-Time Graphics 1 KU 2 Echtzeit-Grafik 1 KU 2 Real-Time Graphics 2 1 VO 1.5 Echtzeit-Grafik 2 1 VO 1.5 Real-Time Graphics 2 2 KU 4 Echtzeit-Grafik 2 2 KU 4 Real-Time Operating Systems Echtzeitbetriebssysteme Curriculum 2015 Page 29 of 36

30 Real-Time Operating Systems 1 LU 2 Echtzeitbetriebssysteme 1 LU 2 Rehabilitation Engineering Rehabilitationstechnik Research Seminar Virtual Reality 2 SE 3.5 Forschungsseminar "Virtual Reality" 2 SE 3.5 Security Aspects in Software Sicherheitsaspekte in der Softwareentwicklung Development Security Aspects in Software Sicherheitsaspekte in der 1 KU 2 Development Softwareentwicklung 1 KU 2 Selected Topics Advanced Analog IC Design 2 SE 3.5 AK Advanced Analog IC Design 2 SE 3.5 Selected Topics Computer Graphics AK Computergrafik Selected Topics Computer Graphics 1 KU 2 AK Computergrafik 1 KU 2 Selected Topics Computer Vision AK Computer Vision Selected Topics Computer Vision 1 KU 2 AK Computer Vision 1 KU 2 Selected Topics Design and Verification AK Design and Verification Selected Topics Design and Verification 1 UE 2 AK Design and Verification 1 UE 2 Selected Topics AK Embedded and Automotive 2 SE 3.5 Embedded and Automotive Systems Systems 2 SE 3.5 Selected Topics Communications and AK Communications and Mobile 2 SE 3.5 Mobile Computing Computing 2 SE 3.5 Selected Topics IT Security 1 AK IT-Sicherheit 1 Selected Topics IT Security 1 1 KU 2 AK IT-Sicherheit 1 1 KU 2 Selected Topics IT Security 2 2 SE 3.5 AK IT-Sicherheit 2 2 SE 3.5 Selected Topics Measurement and AK Measurement and Control 2 SE 3.5 Control Design Design 2 SE 3.5 Selected Topics of Business Informatics AK der Business Informatics Selected Topics of Business Informatics 1 UE 1.5 AK der Business Informatics 1 UE 1.5 Selected Topics Public Law, Informatics, and Data Security AK Informatikrecht und Datenschutz Selected Topics RFID 2 SE 3.5 AK RFID 2 SE 3.5 Selected Topics Robotics and AK Robotics and Computational 2 SE 3.5 Computational Intelligence Intelligence 2 SE 3.5 Selected Topics Signal, Biosignal and AK Signal, Biosignal and Speech 2 SE 3.5 Speech Processing Processing 2 SE 3.5 Selected Topics Software Technology 1 AK Softwaretechnologie 1 Selected Topics Software Technology 1 1 UE 2 AK Softwaretechnologie 1 1 UE 2 Selected Topics Software Technology 2 AK Softwaretechnologie 2 Selected Topics Software Technology 2 1 UE 2 AK Softwaretechnologie 2 1 UE 2 Sensor Networks 2 VU 3 Location-Aware Computing 2 VU 3 Sensor Networks, Laboratory 2 LU 3.5 Location-Aware Computing 1 LU 2 Signal Analysis Signalanalyse Signal Analysis 1 UE 2 Signalanalyse 1 UE 2 Signal Analysis, Laboratory 2 LU 4 Signalanalyse, Labor 2 LU 4 Signal Processors Signalprozessoren Signal Processors, Laboratory 1 LU 2 Signalprozessoren, Labor 1 LU 2 Simulation of Static Fields Simulation statischer Felder Simulation of Static Fields 1 UE 2 Simulation statischer Felder 1 UE 2 Simulation of Time-Dependent Fields Simulation zeitabhängiger Felder Simulation of Time-Dependent Fields 1 UE 2 Simulation zeitabhängiger Felder 1 UE 2 Software Development in Distributed Softwareentwicklung in Verteilten 3 VU 5 3 VU 5 Environments Umgebungen Software Paradigms 3 VU 5 Softwareparadigmen 3 VU 5 Curriculum 2015 Page 30 of 36

31 Software Technology 3 VU 5 Softwaretechnologie 3 VU 5 Software Technology Tools 2 SE 3.5 Softwaretechnologie Tools 2 SE 3.5 Software Technology, Seminar 2 SE 3.5 Softwaretechnologie SE 2 SE 3.5 Start-Ups and Small Business Management Unternehmen Gründung und Führung von Kleinst- 3 VU 3 3 VU 3 State Estimation and Filtering Zustandsschätzung und Filterung State Estimation and Filtering 1 UE 2 Zustandsschätzung und Filterung 1 UE 2 System Theory Systemtheorie System Theory 1 UE 2 Systemtheorie 1 UE 2 System-on-Chip Architectures and System-on-Chip Architectures and 3 VU 5 3 VU 5 Modelling Modelling Technology - Ethics - Politics 2 VO 4 Technik - Ethik - Politik 2 VO 4 Telecommunication Systems Telekommunikationssysteme Testing and Verification Methods for Testmethoden und Verifikation verteilter Systeme Distributed Software Systems Introduction to Thermodynamics Einführung Thermodynamik Verification and Testing Verifikation und Testen Verification and Testing 1 UE 2 Verifikation und Testen 1 UE 2 Vibration Measurement Schwingungsmesstechnik Vibration Measurement, Laboratory 1 LU 2 Schwingungsmesstechnik, Labor 1 LU 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 ( 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). Curriculum 2015 Page 31 of 36

32 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 Curriculum 2015 Page 32 of 36

33 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 Curriculum 2015 Page 33 of 36

34 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 SSt Type ECTS Signalverarbeitung.0 Signalverarbeitung 1 UE 1.5 Control Systems 1 3 VO 4.0 Control Systems 1 1 UE 1.5 Grundlagen der Elektrotechnik TE 3 VO 4.5 Grundlagen der Elektrotechnik TE 1 UE 1.0 Grundlagen der Elektrotechnik, Labor 2 LU 3.0 Nachrichtentechnik 3 VO 4.0 Elektronische Schaltungstechnik 1.0 Total compulsory subjects 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 SSt Type ECTS Datenstrukturen und Algorithmen.0 Datenstrukturen und Algorithmen 1 UE 1.5 Datenbanken 1 2 VU 2.0 Einführung in die Informationssicherheit.0 Einführung in die Informationssicherheit 1 KU 1.5 Computergrafik VU 2.5 Computer Vision VU 2.0 Softwareentwicklung Praktikum 3 VU 5.0 Rechner- und Kommunikationsnetze.0 Rechner- und Kommunikationsnetze 1 KU 1.5 Total compulsory subjects 25.0 Curriculum 2015 Page 34 of 36

35 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 SSt Type ECTS Algorithms in Acoustics and Computer Music 01.0 Algorithms in Acoustics and Computer Music 02 1 UE 1.5 Dynamical Systems 3 VU 5.0 Piston Engines, Introduction.0 Introduction to Thermodynamics.0 Automotive Engineering for Embedded Automotive Systems.0 Mobile Robots.0 Mobile Robots 1 UE 2.0 Physics of Semiconductor Devices.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. Curriculum 2015 Page 35 of 36

36 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. Curriculum 2015 Page 36 of 36