Artificial Intelligence (CS 404)

2021 Fall
Faculty of Engineering and Natural Sciences
Computer Sci.& Eng.(CS)
3
6.00 / 6.00 ECTS (for students admitted in the 2013-14 Academic Year or following years)
Esra Erdem -esraerdem@sabanciuniv.edu,
English
Undergraduate
CS201
Formal lecture
Interactive,Discussion based learning
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CONTENT

This course is a broad technical introduction to fundamental concepts and techniques in artificial intelligence. Topics include expert systems, rule based systems, knowledge representation, search, planning, managing uncertainty, machine learning, and neural networks. Important current application areas of artificial intelligence, such as computer vision, robotics, natural language understanding, and intelligent agents, will be discussed.

OBJECTIVE

To give an elementary and solid understanding of the main foundations of AI.

LEARNING OUTCOME

To have an elementary understanding of various fundamental concepts and methods in AI for an intelligent agent.
To have an elementary and solid understanding of problem solving using search algorithms, and to be able to demonstrate it on various problems.
To have an elementary and solid understanding of representing knowledge in classical logic, and to apply reasoning/inference methods over logical formulae.
To have an elementary and solid understanding of reasoning and decision making under uncertainty.
To have an elementary understanding of an advanced topic in AI.
To have an understanding of the state-of-the-art AI applications/tools.

ASSESSMENT METHODS and CRITERIA

  Percentage (%)
Final 35
Exam 45
Assignment 20

RECOMENDED or REQUIRED READINGS

Textbook

Artificial Intelligence: A Modern Approach by Stuart Russell and Peter Norvig. 3rd Edition.