Module Number

INF3156 		Module Title

Artificial Intelligence 		Type of Module

Elective Compulsory
ECTS 6
Work load
- Contact time
- Self study
Workload:
180 h
Class time:
60 h / 4 SWS
Self study:
120 h
Duration 1 Semester
Frequency In the winter semester
Language of instruction English
Type of Exam

Written Test
Lecture type(s) Lecture
Content

The module covers approximately the first half of the book by Stuart Russel, Peter Norvig: Artificial Intelligence, A Modern Approach, 3rd. Edition. This includes: Introduction, Foundations and History of AI, Intelligent Agents, Problem Solving by Search, Heuristic Search Methods, Local Search Methods, Searches with Nondeterministic Actions and Partial Observations, Search Methods with Adversaries (Adversarial Search), Search Methods for Games, Alpha Beta Pruning, Stochastic Games, Constraint satisfaction problems, Backtracking search, Logical agents, Agents based on propositional logic, Predicate logic and knowledge representation in it, Unification and lifting, Forward chaining, Backward chaining, Prolog, Classical planning, Hierarchical planning and multiagent planning, Knowledge representation. The concepts of the lecture are deepened in exercises and programming tasks with Lisp or Java . Students learn to solve problems with AI techniques independently. solve problems.
Objectives

Students will have basic knowledge of artificial intelligence based on the most internationally known AI textbook by Russel/Norvig.
Allocation of credits / grading
Type of Class
Status
SWS
Credits
Type of Exam
Exam duration
Evaluation
Calculation
of Module (%)
Prerequisite for participation There are no specific prerequisites.
Lecturer / Other Zell
Literature

Skriptum zur Vorlesung, und Lehrbuch S. Russel, P. Norvig: Artifi- cial Intelligence: A Modern Approach, 3rd Edition, Pearson
Last offered Wintersemester 2022
Planned for Wintersemester 2024
Assigned Study Areas BIOINFM2510, INFM2510, INFM3110, INFM3410, MDZINFM2510, MEINFM3210