Course catalog

19303701

Artificial Intelligence

Grégoire Montavon

Additional information / Pre-requisites

Prerequisites:

Basic knowledge in Mathematics and Algorithms & Datastructures.

Comments

Short description:

The course is an introduction to the area of Artificial Intelligence and will introduce the basic ideas and techniques underlying the design of intelligent machines. By the end of this course, you will have learned how to build autonomous (software) agents that efficiently make decisions in fully informed, partially observable and adversarial settings as well as how to optimize actions in uncertain sequential decision making environments to maximize expected reward.

Syllabus:

Informed search
Uninformed search
Adversarial search
Local search and Optimization
Constraint Satisfaction Problems
Markov Decision Processes
Reinforcement Learning

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Suggested reading

Stuart Russell and Peter Norvig, Artificial Intelligence: A Modern Approach (http://aima.cs.berkeley.edu/)
Richard Sutton and Andrew Barto, Reinforcement Learning: An Introduction (https://mitpress.mit.edu/books/reinforcement-learning-second-edition)

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14 Class schedule

Additional appointments

Mon, 2024-08-19 14:00 - 16:00

Nachklausur KI

Lecturers:
Prof. Dr.-Ing. Grégoire Montavon

Location:
T9/Gr. Hörsaal (Takustr. 9)

Regular appointments

Tue, 16:00 - 18:00 Künstliche Intelligenz 14 Class schedule

Tue, 2024-04-16 16:00 - 18:00

Künstliche Intelligenz

Lecturers:
Prof. Dr.-Ing. Grégoire Montavon

Location:
T9/Gr. Hörsaal (Takustr. 9)

Tue, 2024-04-23 16:00 - 18:00

Künstliche Intelligenz

Lecturers:
Prof. Dr.-Ing. Grégoire Montavon

Location:
T9/Gr. Hörsaal (Takustr. 9)

Tue, 2024-04-30 16:00 - 18:00

Künstliche Intelligenz

Lecturers:
Prof. Dr.-Ing. Grégoire Montavon

Location:
T9/Gr. Hörsaal (Takustr. 9)

Tue, 2024-05-07 16:00 - 18:00

Künstliche Intelligenz

Lecturers:
Prof. Dr.-Ing. Grégoire Montavon

Location:
T9/Gr. Hörsaal (Takustr. 9)

Tue, 2024-05-14 16:00 - 18:00

Künstliche Intelligenz

Lecturers:
Prof. Dr.-Ing. Grégoire Montavon

Location:
T9/Gr. Hörsaal (Takustr. 9)

Tue, 2024-05-21 16:00 - 18:00

Künstliche Intelligenz

Lecturers:
Prof. Dr.-Ing. Grégoire Montavon

Location:
T9/Gr. Hörsaal (Takustr. 9)

Tue, 2024-05-28 16:00 - 18:00

Künstliche Intelligenz

Lecturers:
Prof. Dr.-Ing. Grégoire Montavon

Location:
T9/Gr. Hörsaal (Takustr. 9)

Tue, 2024-06-04 16:00 - 18:00

Künstliche Intelligenz

Lecturers:
Prof. Dr.-Ing. Grégoire Montavon

Location:
T9/Gr. Hörsaal (Takustr. 9)

Tue, 2024-06-11 16:00 - 18:00

Künstliche Intelligenz

Lecturers:
Prof. Dr.-Ing. Grégoire Montavon

Location:
T9/Gr. Hörsaal (Takustr. 9)

Tue, 2024-06-18 16:00 - 18:00

Künstliche Intelligenz

Lecturers:
Prof. Dr.-Ing. Grégoire Montavon

Location:
T9/Gr. Hörsaal (Takustr. 9)

Tue, 2024-06-25 16:00 - 18:00

Künstliche Intelligenz

Lecturers:
Prof. Dr.-Ing. Grégoire Montavon

Location:
T9/Gr. Hörsaal (Takustr. 9)

Tue, 2024-07-02 16:00 - 18:00

Künstliche Intelligenz

Lecturers:
Prof. Dr.-Ing. Grégoire Montavon

Location:
T9/Gr. Hörsaal (Takustr. 9)

Tue, 2024-07-09 16:00 - 18:00

Künstliche Intelligenz

Lecturers:
Prof. Dr.-Ing. Grégoire Montavon

Location:
T9/Gr. Hörsaal (Takustr. 9)

Tue, 2024-07-16 16:00 - 18:00

Künstliche Intelligenz

Lecturers:
Prof. Dr.-Ing. Grégoire Montavon

Location:
T9/Gr. Hörsaal (Takustr. 9)

Back to list of modules

Location: T9/Gr. Hörsaal (Takustr. 9)

Schedule: Di 16:00-18:00, zusätzliche Termine siehe LV-Details

Class starts on: 2024-04-16

Course language: English

Contact hours: 2

Limited attendance: No

Attendance required: No

Relevant semester: 0

Modules where this course belongs

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