|Artificial Intelligence [2021 Sommer]|
2 SWS lecture, 2 SWS tutorial
180 h; thereof
60h lectures and tutorials
50h graded final report of mini project
70h lecture wrap-up, programming exercises and homework
B.Sc. Angewandte Informatik,
M.Sc. Angewandte Informatik,
M.Sc. Scientific Computing
|Lernziel||To be able to develop algorithms for solving problems by informed/uninformed search.
To know how to apply logical inference for finding solutions.
To have a firm command of applying inference under uncertainty.
To have gained a solid understanding of learning agents based on deep learning and neural networks.
To know how to apply the developed expertise to different application areas such as Computer Vision or text mining.
|Inhalt||Solving problems by search
Inference using logic
Planning and acting
Reasoning under uncertainty
Deep Learning and Neural Networks
Machine Learning Applications
|Voraussetzungen||recommended are: basic programming skills and knowledge of basic calculus, statistics, and linear algebra|
|exam (written report on mini research project)|
|Literatur||Russell & Norvig: Artificial Intelligence: A Modern Approach|