Intelligent Systems

2019-2020

Course Objective

Knowledge and understanding: at the end of the course, the students will
be familiar with basic knowledge of some of the core aspects of AI:
state-space representations, search, adversarial search, logic,
automated reasoning, reasoning with uncertainty and vagueness and
machine learning.

Applying knowledge and understanding: students will be able to implement
basic (adversarial) search algorithms, as well as knowledge based and
adaptive methods to build Intelligent Agents.

Making judgements: the students will have a basic understanding of the
ethical and societal implications of the developements in AI.

Communication skills: students will be able to write a scientific
reports about an original research question in a group of students.

Learning skills: students will be trained in acquiring a set of complex
AI related topics in a restricted period of time, come up with an
original research question and perform the necessary (empirical)
research.

Course Content

The course will provide an introduction to some of the basic concepts of
Artificial Intelligence, such as search, adversarial search, knowledge
representation and machine learning.

Teaching Methods

2 lectures of 2 hours per week.
Working groups to practice the theoretical material.
Practical groups to apply the acquired knowledge.

Method of Assessment

The grade will be determined via a (digital) exam (100%), but there are
also 3 mandatory practical assignments (pass/fail), and all three need
to be passed.

Target Audience

BSc Artificial Intelligence (year 1)

General Information

Course Code XB_0031
Credits 6 EC
Period P2
Course Level 100
Language of Tuition English
Faculty Faculty of Science
Course Coordinator dr. K.S. Schlobach
Examiner dr. K.S. Schlobach
Teaching Staff dr. K.S. Schlobach
dr. M. Cochez

Practical Information

You need to register for this course yourself

Last-minute registration is available for this course.

Teaching Methods Seminar, Lecture, Practical
Target audiences

This course is also available as: