Syllabus Application
CS 404
Artificial Intelligence
Faculty
Faculty of Engineering and Natural Sciences
Semester
Fall 2025-2026
Course
CS 404 -
Artificial Intelligence
Time/Place
Time
Week Day
Place
Date
11:40-12:30
Tue
SBS-G071
Sep 29, 2025-Jan 3, 2026
15:40-17:30
Fri
SBS-G071
Sep 29, 2025-Jan 3, 2026
Level of course
Undergraduate
Course Credits
SU Credit:3, ECTS:6, Basic:2, Engineering:4
Prerequisites
CS 201 or DSA 201
Corequisites
Course Type
Lecture
Instructor(s) Information
Ayşe Berrin Yanıkoğlu
- Email: berrin@sabanciuniv.edu
Course Information
Catalog Course Description
This course is a broad technical introduction to fundamental concepts and techniques in artificial intelligence. Topics include problem solving, search, knowledge representation and reasoning, reasoning and decision making under uncertainty. Other important topics and current application areas of artificial intelligence, such as automated planning, machine learning, computer vision, robotics, natural language understanding, and intelligent agents, will be discussed.
Course Learning Outcomes:
| 1. | To have an elementary understanding of various fundamental concepts and methods in AI for an intelligent agent. |
|---|---|
| 2. | To have an elementary and solid understanding of problem solving using search algorithms, and to be able to demonstrate it on various problems. |
| 3. | To have an elementary and solid understanding of representing knowledge in classical logic, and to apply reasoning/inference methods over logical formulae. |
| 4. | To have an elementary and solid understanding of reasoning and decision making under uncertainty. |
| 5. | To have an elementary understanding of an advanced topic in AI. |
| 6. | To have an understanding of the state-of-the-art AI applications/tools. |
Course Objective
Course Materials
Resources:
Artificial Intelligence: A Modern Approach, Russell & Norvig, 4th ed.