Andreas Peter Burg

ELD 130 (Bâtiment ELD)
Station 11
1015 Lausanne

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Administrative data


Infoscience publications

Teaching & PhD


Electrical and Electronics Engineering


Digital systems design

Students will acquire basic knowledge about methodologies and tools for the design, optimization, and verification of custom digital systems/hardware. They learn how to design synchronous digital circuits on register transfer level, analyse their timing and implement them in VHDL and on FPGAs.

Systèmes de télécommunications

Learning basic knowledge on transmission of information and identify the relevant criteria for the dimensioning of a telecommunication system. Evaluate the quality of digital transmission systems (error probability) either in baseband or shifted passband.

Lab in information technologies

Get familiar with experimental aspects of the main domains of the orientation "Information and communication technologies"

Fundamentals of VLSI design

The course introduces the fundamentals of digital integrated circuits and the technology aspects from a designers perspective. It focuses mostly on transistor level, but discusses also the extension to large digital semicustom designs.

Advanced VLSI design

In this project-based course, students collect hands-on experience with designing full-custom digital VLSI circuits in dynamic logic. They learn to carry out the design and optimization on transistor level, including logic and clock tree, the verification, and the layout.

Wireless receivers: algorithms and architectures

The students will learn about the basic principles of wireless communication systems, including transmission and modulation schemes as well as the basic components and algorithms of a wireless receiver. They develop an understanding for the wireless channel and system performance and limitations.

Design and Optimization of Internet-of-Things Systems

This course provides an overview of the relevant technologies and approaches for the design and optimization of Internet-of-Things (IoT) systems. It covers architectures of edge computing platforms, wireless communication options, cloud computing backend and different machine learning applications.

Energy Autonomous Wireless Smart Systems

The course provides in depth knowledge on how to design an energy autonomous microsystem embedding sensors with wireless transmission of information. It covers the energy generation, power management, and data processing and transmission with an emphasis on low-power and energy efficient operation.