MSc Signals, Networking and Sensing

Specialization courses

The EE programme offers Themes: packages of three courses (15 ECTS). By choosing a theme, you not only gain specialised knowledge but also learn to apply it directly to pressing societal needs, strengthening your preparation for the Master’s thesis. Alternatively, you can compile your own Custom programme of 3 courses from a list of suggested courses. Further, in Q4 you have to select a topic within the Deep Dive course.

For SNS, the relevant Themes are

Wireless Communications, focussing on the design and management challenges of the next-generation mobile networks:

  • EE4965 Fundamentals of Wireless Communications
  • CESE4060 Wireless IoT and Local Area Networks
  • EE4396 Mobile Networks

Control & Robotics, with courses that relate signal processing to control theory:

  • SC42025 Filtering and Identification
  • EE4910 Probabilistic Sensor Fusion
  • EE4540 Distributed Signal Processing

The EE4002-DD Deep Dive course combines a topic course with learning objectives around literature study and report writing. Among the many topics, we suggest to select one of:

  • Phased Array Antennas
  • Radar Theory and Functional Design
  • UWB Technology and Applications
  • Array Processing
  • Telecom Business Architectures and Models

Custom courses can be selected from a long list, while you could also take Discpline-related courses that you did not select before (e.g., Estimation and Detection). A nonexhaustive list is:

  • DSAIT4310 Modelling and Data Analysis in Complex Networks
  • DSAIT4315 Performance Analysis of Networks
  • CESE4045 High-Performance Data Networking
  • CS4430 Network Security
  • CESE4120 Smart Phone Sensing
  • EE4595 Wavefield Imaging
  • SC42125 Model Predictive Control
  • RO47021 Intelligent Control Systems
  • SC42075 Modeling and Control of Hybrid Systems
  • SC42015 Control Theory
  • DSAIT4305 Graph Machine Learning
  • BM41055 Anatomy and Physiology
  • AP3232 Medical Imaging Signals and Systems
  • SC42500 Tensor Networks for Green AI and Signal Processing

AP3232Medical imaging signals and systems4/4/0/06 EC details
BM41055Anatomy and physiology2/2/0/04 EC details
CESE4045High-performance data networking0/4/0/05 EC details
CESE4060Wireless IoT and local area networks0/0/4/05 EC details
CESE4120Smart phone sensing0/0/0/25 EC details
CS4430Network security0/0/4/05 EC details
DSAIT4305Graph machine learning4/0/0/05 EC details
DSAIT4310Modelling and data analysis in complex networks4/0/0/05 EC details
DSAIT4315Performance analysis of networks0/4/0/05 EC details
EE4396Mobile networks0/0/0/55 EC details
EE4540Distributed signal processing0/0/0/45 EC details
EE4595Wavefield imaging0/0/4/05 EC details
EE4715Array processing0/0/0/45 EC details
EE4740Sparse signal processing0/0/4/05 EC details
EE4750Tensor networks for green AI and signal processing3/0/0/04 EC details
EE4760Probablistic sensor fusion0/0/2/04 EC details
ET4358Fundamentals of wireless communications0/4/0/05 EC details
RO47019Intelligent control systems0/0/4/04 EC details
SC42015Control theory6/0/0/06 EC details
SC42025Filtering and identification0/4/0/06 EC details
SC42075Modeling and control of hybrid systems0/0/0/43 EC details
SC42101Networked and distributed control systems0/0/0/44 EC details
SC42125Model predictive control0/0/4/04 EC details

Contact person

dr. Raj Thilak Rajan

Track coordinator