COMPUTER ENGINEERING (ENGLISH, NON-THESIS) | |||||
Master | TR-NQF-HE: Level 7 | QF-EHEA: Second Cycle | EQF-LLL: Level 7 |
Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
CMP6160 | Advanced Topics in Artificial Intelligence | Fall | 3 | 0 | 3 | 8 |
The course opens with the approval of the Department at the beginning of each semester |
Language of instruction: | En |
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 |
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. |
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 |
Complexity; NP-completeness; 3-SAT; NP-compleness proofs; approximation algorithms; randomization; undecidability; halting problem; Rice's theorem. |
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: | NA |
References: | Yok - None |
Semester Requirements | Number of Activities | Level of Contribution |
Attendance | % 0 | |
Laboratory | % 0 | |
Application | % 0 | |
Field Work | % 0 | |
Special Course Internship (Work Placement) | % 0 | |
Quizzes | % 0 | |
Homework Assignments | 2 | % 20 |
Presentation | 1 | % 10 |
Project | 1 | % 30 |
Seminar | % 0 | |
Midterms | % 0 | |
Preliminary Jury | % 0 | |
Final | 1 | % 40 |
Paper Submission | % 0 | |
Jury | % 0 | |
Bütünleme | % 0 | |
Total | % 100 | |
PERCENTAGE OF SEMESTER WORK | % 30 | |
PERCENTAGE OF FINAL WORK | % 70 | |
Total | % 100 |
Activities | Number of Activities | Duration (Hours) | Workload |
Course Hours | 3 | 14 | 42 |
Laboratory | 0 | 0 | 0 |
Application | 0 | 0 | 0 |
Special Course Internship (Work Placement) | 0 | 0 | 0 |
Field Work | 0 | 0 | 0 |
Study Hours Out of Class | 0 | 0 | 0 |
Presentations / Seminar | 14 | 5 | 70 |
Project | 14 | 5 | 70 |
Homework Assignments | 0 | 0 | 0 |
Quizzes | 0 | 0 | 0 |
Preliminary Jury | 0 | ||
Midterms | 0 | 0 | 0 |
Paper Submission | 0 | ||
Jury | 0 | ||
Final | 1 | 12 | 12 |
Total Workload | 194 |
No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
Program Outcomes | Level of Contribution | |
1) | Define and manipulate advanced concepts of Computer Engineering | |
2) | Use math, science, and modern engineering tools to formulate and solve advenced engineering problems | |
3) | Notice, detect, formulate and solve new engineering problems. | |
4) | Review the literature critically pertaining to his/her research projects, and connect the earlier literature to his/her own results | |
5) | Follow, interpret and analyze scientific researches in the field of engineering and use the knowledge in his/her field of study | |
6) | Work effectively in multi-disciplinary research teams | |
7) | Acquire scientific knowledge | |
8) | Find out new methods to improve his/her knowledge. | |
9) | Effectively express his/her research ideas and findings both orally and in writing | |
10) | Defend research outcomes at seminars and conferences. | |
11) | Prepare master thesis and articles about thesis subject clearly on the basis of published documents, thesis, etc. | |
12) | Demonstrate professional and ethical responsibility. | |
13) | Develop awareness for new professional applications and ability to interpret them. |