Module Handbook

  • Dynamischer Default-Fachbereich geändert auf EIT

Course of Study "European Master in Embedded Computing Systems (EMECS)" (M.Sc.)

Department [EIT] Elektro­technik und Infor­mations­technik
Degree [M.Sc.] Master (M.Sc.)
(88)
Course of Study European Master in Embedded Computing Systems (EMECS)
(A20)
Version 2021
State [NORM] Active
Short Name, Number M.Sc. European Master in Embedded Computing Systems (EMECS)
[EIT-88.A20-SG#2021]
Additional informations

Core Modules (non specialised)

Section Core Subjects

Embedded Systems Hardware Architectures
WP EIT-EIS-571-M-4 Architecture of Digital Systems I
4.0 LP
WP EIT-EMS-546-M-4 Embedded Processor Lab
3.0 LP
WP EIT-EIS-573-M-4 Architecture of Digital Systems II
4.0 LP
WP EIT-EIS-521-M-7 Embedded Systems Laboratory
5.0 LP
System Software
WP EIT-RTS-545-M-4 Operating Systems
4.0 LP
WP EIT-RTS-540-M-4 Real-Time Systems I
4.0 LP
WP INF-75-50-M-5 Machine Learning I - Theoretical Foundations
8.0 LP
SoC-Design Methodology
WP EIT-EMS-654-M-4 Microelectronic Circuit and System Design I
4.0 LP
WP EIT-EMS-657-M-7 Synthesis and Optimization of Microelectronic Systems I
4.0 LP
WP EIT-EIS-560-M-7 Verification of Digital Systems
5.0 LP
WP EIT-EIS-562-M-7 Class Project Verification of Digital Systems
3.0 LP
Free Elective Area

Section Elective Subjects

Embedded Systems Hardware Architectures
W EIT-RTS-541-M-7 Real-Time Systems II
4.0 LP
W EIT-RTS-446-M-7 Real-Time Systems Laboratory I
3.0 LP
W EIT-RTS-447-M-7 Real-Time Systems Laboratory II
3.0 LP
W EIT-EIS-560-M-7 Verification of Digital Systems
5.0 LP
W EIT-EIS-566-M-7 Robust Digital Systems
3.0 LP
W INF-61-53-M-6 Biologically Motivated Robots
6.0 LP
W INF-61-33-M-6 Autonomous Mobile Robots
8.0 LP
W INF-61-81-M-7 Service Robots and Assistance Systems (Project)
8.0 LP
W INF-31-31-M-5 Software Project and Process Management
4.0 LP
W INF-31-53-M-6 Empirical Model Formation and Methods
4.0 LP
W INF-62-54-M-5 Parallel Computing
4.0 LP
W INF-62-36-M-6 Model-based Design of Embedded Systems
8.0 LP
W INF-41-31-M-6 Protocol Engineering
4.0 LP
W INF-41-53-M-6 Algorithms in Ad-hoc Networks
4.0 LP
W INF-33-31-M-5 Safety and Reliability of Embedded Systems
4.0 LP
W INF-65-51-M-6 Power-Aware Embedded Systems
4.0 LP
W INF-64-52-M-5 Automotive Software and Systems Engineering
4.0 LP
W EIT-EMS-659-M-7 SystemC and Virtual Prototyping
4.0 LP
W EIT-EMS-653-M-6 Enterprise Data Science
3.0 LP
Communication and Signal Processing
W EIT-FUN-405-M-4 Wireless and Multimedia Systems
3.0 LP
W EIT-FUN-402-M-4 Wireless Communication
5.0 LP
W EIT-NAT-305-M-4 Communications Engineering
5.0 LP
W EIT-NAT-301-M-4 Introduction to Communication Networks
4.0 LP
W EIT-DSV-531-M-4 Digital Signal Processing
4.0 LP
W EIT-DSV-532-M-4 Digital Filters
3.0 LP
W EIT-DSV-534-M-7 Digital Signal Processing: Algorithms and their Implementation
3.0 LP
Automation and Control
W EIT-LRS-505-M-7 Nonlinear and Adaptive Control
5.0 LP
W EIT-LRS-426-M-7 Robot and Motion Control
4.0 LP
W EIT-LRS-509-M-7 Control in Power Electronics
3.0 LP
W EIT-AUT-452-M-4 Process Automation
3.0 LP
W EIT-AUT-457-M-4 Fundamentals of Automation
5.0 LP
W EIT-AUT-453-M-7 Methods of Soft Control
3.0 LP
W EIT-JEM-515-M-7 Model Predictive Control
4.0 LP
W EIT-JEM-517-M-7 Electric and Hybrid Vehicles
3.0 LP
Microelectronics / Microsystems
W EIT-ISE-110-M-7 Neurocomputing
4.0 LP
W EIT-ISE-112-M-7 Sensor Signal Processing
5.0 LP
W EIT-ISE-651-M-4 Technology and Design of Integrated Mixed-Signal Circuits and Systems (TESYS)
5.0 LP
W EIT-ISE-650-M-7 Manufacturing and Design of Integrated Sensors Systems (HEIS)
5.0 LP
W EIT-EMS-655-M-7 Microelectronic Circuit and System Design II
5.0 LP
W EIT-EMS-657-M-7 Synthesis and Optimization of Microelectronic Systems I
4.0 LP
W EIT-EIS-660-M-7 Synthesis and Optimization of Microelectronic Systems II
3.0 LP
W EIT-EMS-732-M-7 FPGA-Based Hardware Accelerators and Hybrid Systems
4.0 LP
Artificial Intelligence
W INF-75-50-M-5 Machine Learning I - Theoretical Foundations
8.0 LP
W INF-75-51-M-6 Machine Learning II - Statistical ML
8.0 LP
W INF-71-57-M-6 Very Deep Learning - Recent Methods and Technologies
4.0 LP
W INF-71-56-M-6 Applications of Machine Learning and Data Science
4.0 LP
W INF-74-51-M-6 Embedded Intelligence
4.0 LP
Thesis

Section Master's Thesis

P EIT-DEK-009-M-7 Master's Thesis EMECS
30.0 LP