[IAI] - [2017/18 Winter] - [de] - [Artificial Intelligence]


Artificial Intelligence [2017/18 Winter]
Code
IAI
Name
Artificial Intelligence
LP
6 LP
Dauer
one semester
Angebotsturnus
irregular
Format
2 SWS lecture, 2 SWS tutorial
Arbeitsaufwand
180 h; thereof
60h lectures and tutorials
50h graded final report of mini project
70h lecture wrap-up, programming exercises and homework
Verwendbarkeit
B.Sc. Angewandte Informatik,
M.Sc. Angewandte Informatik,
M.Sc. Scientific Computing
Sprache
Lehrende
Prüfungsschema
Lernziele 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.
Lerninhalte Solving problems by search
Game playing
Inference using logic
Knowledge bases
Planning and acting
Reasoning under uncertainty
Deep Learning and Neural Networks
Machine Learning Applications
Teilnahme-
voraus-
setzungen
recommended are: basic programming skills and knowledge of basic calculus, statistics, and linear algebra
Vergabe der LP und Modulendnote Bestehen der Modulprüfung
Nützliche Literatur Russell & Norvig: Artificial Intelligence: A Modern Approach