CMP6160 Advanced Topics in Artificial IntelligenceBahçeşehir UniversityDegree Programs ELECTRIC-ELECTRONIC ENGINEERING (ENGLISH, NONTHESIS)General Information For StudentsDiploma SupplementErasmus Policy StatementNational Qualifications
Master TR-NQF-HE: Level 7 QF-EHEA: Second Cycle EQF-LLL: Level 7

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
CMP6160 Advanced Topics in Artificial Intelligence Fall 3 0 3 9
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

Language of instruction: English
Type of course: Departmental Elective
Course Level:
Mode of Delivery: Face to face
Course Coordinator : Dr. Öğr. Üyesi TEVFİK AYTEKİN
Course Lecturer(s): Prof. Dr. NAFİZ ARICA
Recommended Optional Program Components: None
Course Objectives: This is a research oriented course. Topics vary from one offering to the next. Selected state of the art research papers from various fields of artificial intelligence (such as searching, knowledge representation, learning, probabilistic reasoning, and natural
language processing) will be read. Students are required to write paper reviews and do a final project.

Learning Outcomes

The students who have succeeded in this course;
I. Become familiar with current research topics in artificial intelligence
II. Be able to critically read a scientific paper
III. Be able to write a paper review
IV. Be able to present scientific papers
V. Be able to conduct a research in artificial intelligence

Course Content

Complexity; NP-completeness; 3-SAT; NP-compleness proofs; approximation algorithms; randomization; undecidability; halting problem; Rice's theorem.

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Introduction
2) Paper assignments
3) Review of current literature
4) Review of current literature
5) Paper presentations and discussion.
6) Paper presentations and discussion.
7) Paper presentations and discussion.
8) Paper presentations and discussion.
9) Paper presentations and discussion.
10) Paper presentations and discussion.
11) Paper presentations and discussion.
12) Paper presentations and discussion.
13) Project presentations
14) Project presentations


Course Notes / Textbooks: NA
References: Yok - None

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Homework Assignments 2 % 20
Presentation 1 % 10
Project 1 % 30
Final 1 % 40
Total % 100
Total % 100

ECTS / Workload Table

Activities Number of Activities Duration (Hours) Workload
Course Hours 3 14 42
Presentations / Seminar 14 5 70
Project 14 5 70
Final 1 12 12
Total Workload 194

Contribution of Learning Outcomes to Programme Outcomes

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
Program Outcomes Level of Contribution