182.763 Stochastic Foundations of Cyber-Physical Systems
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2020W, VU, 4.0h, 6.0EC
TUWEL

Properties

  • Semester hours: 4.0
  • Credits: 6.0
  • Type: VU Lecture and Exercise
  • Format: Distance Learning

Learning outcomes

After successful completion of the course, students are able to master the following competences.

Fachliche und methodische Kompetenzen: Stochastic foundations of cyber-physical systems, artificial intelligence, and robotics. 

 Kognitive und praktische Kompetenzen:

  • Ability to learn stochastic models of CPS. 
  • Ability to perform stochastic analysis of CPS 
  • Ability to design optimal controllers for CPS. 

Soziale Kompetenzen und Selbstkompetenzen: Apprehension of and experience in applying theory for solving practical problems.

Subject of course

  • Probabilistic interpretation of uncertainty.
  • Rational agents as smart cyber-physical systems (CPS).
  • Static (sBN) and dynamic (dBN) Bayesian networks (BN).
  • Uncertain environments as sBN and dBN.
  • Exact and approximate inference in BN.
  • Machine learning (supervised) of sBN and dBN.
  • Decision making and optimal control for Markov Decision Processes.
  • Supervised (sML) and reinforcement (rML) learning.
  • Machine learning (sML and rML) with deep neural networks.
  • Speech-recognition and robotics.

Didactic concept: Topics are tought in the lectures and practiced in exercises including programming exercises, simulation and application on real-world mobile robots.

Teaching methods

Weekly lecture with continually accompanying home-work assignments, deepening the understanding of the module content and increasing the individual problem-solving competence in CPS modelling, analysis, and control. Hand-written or Latex solutions, possibly their mutual peer reviewing, accompanying reading of a book

Mode of examination

Written and oral

Additional information


Lectures start s.t.

ECTS-Breakdown 3 ECTS = 150 hours:

Lecture part:

  • 0.5h  lecture introduction
  • 54h (18 lectures, 2h per lecture + 1h pre/postprocessing)
  • 20h exam preparation
  • 0.5h  oral exam
    ----
    75h

Exercise part:

  • 75h exercises

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Tue10:00 - 12:0006.10.2020 - 26.01.2021 ZOOM link see TUWEL (LIVE)CPS Stochastic Foundation Class
Thu10:00 - 12:0008.10.2020 - 28.01.2021 ZOOM link see TUWEL (LIVE)CPS Stochastic Foundation Class
Stochastic Foundations of Cyber-Physical Systems - Single appointments
DayDateTimeLocationDescription
Tue06.10.202010:00 - 12:00 ZOOM link see TUWELCPS Stochastic Foundation Class
Thu08.10.202010:00 - 12:00 ZOOM link see TUWELCPS Stochastic Foundation Class
Tue13.10.202010:00 - 12:00 ZOOM link see TUWELCPS Stochastic Foundation Class
Thu15.10.202010:00 - 12:00 ZOOM link see TUWELCPS Stochastic Foundation Class
Tue20.10.202010:00 - 12:00 ZOOM link see TUWELCPS Stochastic Foundation Class
Thu22.10.202010:00 - 12:00 ZOOM link see TUWELCPS Stochastic Foundation Class
Tue27.10.202010:00 - 12:00 ZOOM link see TUWELCPS Stochastic Foundation Class
Thu29.10.202010:00 - 12:00 ZOOM link see TUWELCPS Stochastic Foundation Class
Tue03.11.202010:00 - 12:00 ZOOM link see TUWELCPS Stochastic Foundation Class
Thu05.11.202010:00 - 12:00 ZOOM link see TUWELCPS Stochastic Foundation Class
Tue10.11.202010:00 - 12:00 ZOOM link see TUWELCPS Stochastic Foundation Class
Thu12.11.202010:00 - 12:00 ZOOM link see TUWELCPS Stochastic Foundation Class
Tue17.11.202010:00 - 12:00 ZOOM link see TUWELCPS Stochastic Foundation Class
Thu19.11.202010:00 - 12:00 ZOOM link see TUWELCPS Stochastic Foundation Class
Tue24.11.202010:00 - 12:00 ZOOM link see TUWELCPS Stochastic Foundation Class
Thu26.11.202010:00 - 12:00 ZOOM link see TUWELCPS Stochastic Foundation Class
Tue01.12.202010:00 - 12:00 ZOOM link see TUWELCPS Stochastic Foundation Class
Thu03.12.202010:00 - 12:00 ZOOM link see TUWELCPS Stochastic Foundation Class
Thu10.12.202010:00 - 12:00 ZOOM link see TUWELCPS Stochastic Foundation Class
Tue15.12.202010:00 - 12:00 ZOOM link see TUWELCPS Stochastic Foundation Class

Examination modalities

Homework/project assignments and oral examination.

Course registration

Begin End Deregistration end
21.09.2020 23:59 12.10.2020 23:59 12.10.2020 23:59

Registration modalities

Registration to the course via TISS. You will be added to the TUWEL course, where the rest of the course will be organized.

Curricula

Study CodeSemesterPrecon.Info
066 938 Computer Engineering

Literature

S. Russel and P. Norvig, Artificial Intelligence - A Modern Approach, 3rd ed., Upper Saddle River, New Jersey: Pearson Education, 2010.

R.S. Sutton and A.G. Barto - Reinforcement Learning An Introduction second edition. The MIT Press Cambridge, Massachusetts London,  England, 2018.

Previous knowledge

Mandatory prerequisites: None. The following prerequisites are helpful but not mandatory.

Fachliche und methodische Kompetenzen: Probability theory, stochastic signals, control theory, discrete mathematics.

Kognitive und praktische Kompetenzen: Mathematical reasoning and implementation skills. 

Soziale Kompetenzen und Selbstkompetenzen: Independent work, interest in combining theory and practice. 

These prerequisites are provided in the following modules: Wahrscheinlichkeitstheorie und Stochastische Prozesse, Signale und Systeme, Modellbildung und Regelungstechnik, Discrete Mathematics

Continuative courses

Language

English