CMP5887 SeminarBahçeşehir UniversityDegree Programs ARTIFICIAL INTELLIGENCE (ENGLISH, THESIS)General Information For StudentsDiploma SupplementErasmus Policy StatementNational QualificationsBologna Commission
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
CMP5887 Seminar Spring 0 0 0 10
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:
Course Level:
Prerequisites: CMP5888-1 - Master Thesis
Mode of Delivery: Face to face
Course Coordinator : Dr. Öğr. Üyesi TARKAN AYDIN
Course Lecturer(s): Dr. Öğr. Üyesi TARKAN AYDIN
Recommended Optional Program Components: None
Course Objectives: This course aims providing students an opportunity to individually research, analyze, evaluate and present an academic study.

Learning Outcomes

The students who have succeeded in this course;
I. Identifying research methods.
II. Identifying literature review methods.
III. Analyzing existing studies.
IV. Defining research plans.
V. Constructing an academic report.

Course Content

1st week: Problem definition
2nd week: Literature review about selected topic
3rd week: Literature review about selected topic
4th week: Literature review about selected topic
5th week: Literature review about selected topic
6th week: Literature review about selected topic
7th week: Gathering data for selected topic
8th week: Gathering data for selected topic
9th week: Gathering data for selected topic
10th week: Gathering data for selected topic
11th week: Analysis and evaluation of data
12th week: Analysis and evaluation of data
13th week: Analysis and evaluation of data
14th week: Constructing report

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Problem definition
2) Literature review about selected topic
3) Literature review about selected topic
4) Literature review about selected topic
5) Literature review about selected topic
6) Literature review about selected topic
7) Gathering data for selected topic
8) Gathering data for selected topic
9) Gathering data for selected topic
10) Gathering data for selected topic
11) Analysis and evaluation of data
12) Analysis and evaluation of data
13) Analysis and evaluation of data
14) Preparing Report

Sources

Course Notes / Textbooks:
References:

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Presentation 1 % 100
Total % 100
PERCENTAGE OF SEMESTER WORK % 100
PERCENTAGE OF FINAL WORK %
Total % 100

ECTS / Workload Table

Activities Number of Activities Duration (Hours) Workload
Course Hours 14 3 42
Study Hours Out of Class 14 8 112
Presentations / Seminar 1 5 5
Total Workload 159

Contribution of Learning Outcomes to Programme Outcomes

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