ARTIFICIAL INTELLIGENCE (ENGLISH, THESIS)
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
CMP5888-2 Master Thesis Spring 0 0 0 30
Prerequisites:
The course opens with the approval of the Department at the beginning of each semester

Basic information

Language of instruction: En
Type of course: Must Course
Course Level:
Mode of Delivery: Face to face
Course Coordinator : Dr. Öğr. Üyesi TARKAN AYDIN
Course Objectives: The objective of the master thesis is to teach students how to carry out an independent piece of research on a development issue. Working on the master thesis should enable students to address a specific theme in a scientifically sound, thorough and precise manner. Students gains insight into the different stages of the research process and enhance Students’ ability to see the relationship between choice of research question, theoretical perspective, research design and choice of method.

Learning Outputs

The students who have succeeded in this course;
Upon completion of the course, the student is expected to be able to:
1. show considerable knowledge of a specific theoretical and empirical issue area.

2. compose, present and defend a scientific inquiry in the form of a master’s thesis.

3. critically scrutinize different theories and methods in engineering science as well as to apply these in the composition of a master’s thesis.

Course Content

Week 1 - Literature research
Week 2 - Article analysis and methodology
Week 3 - Evaluation
Week 4 - Report and presentation
Week 5 - Literature research
Week 6 - Article analysis
Week 7 - Evaluation
Week 8 - Report and presentation
Week 9 - Literature research
Week 10 - Article analysis
Week 11 - Evaluation
Week 12 - Report and presentation
Week 13 - Article analysis
Week 14 - Report and presentation

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Research related to Master's thesis subject
2) Research related to Master's thesis subject
3) Research related to Master's thesis subject
4) Research related to Master's thesis subject
5) Research related to Master's thesis subject
6) Research related to Master's thesis subject
7) Research related to Master's thesis subject
8) Research related to Master's thesis subject
9) Research related to Master's thesis subject
10) Research related to Master's thesis subject
11) Research related to Master's thesis subject
12) Research related to Master's thesis subject
13) Research related to Master's thesis subject
14) Research related to Master's thesis subject
15) Review of semestre
16) Review of semestre

Sources

Course Notes:
References:

Evaluation System

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 % 0
Presentation 1 % 100
Project % 0
Seminar % 0
Midterms % 0
Preliminary Jury % 0
Final % 0
Paper Submission % 0
Jury % 0
Bütünleme % 0
Total % 100
PERCENTAGE OF SEMESTER WORK % 100
PERCENTAGE OF FINAL WORK % 0
Total % 100

ECTS / Workload Table

Activities Number of Activities Duration (Hours) Workload
Course Hours 16 3 48
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 16 25 400
Presentations / Seminar 1 300 300
Project 0 0 0
Homework Assignments 0 0 0
Quizzes 0 0 0
Preliminary Jury 0
Midterms 0 0 0
Paper Submission 0
Jury 0
Final 0 0 0
Total Workload 748

Contribution of Learning Outcomes to Programme Outcomes

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