COMPUTER ENGINEERING (ENGLISH, THESIS) | |||||
Master | TR-NQF-HE: Level 7 | QF-EHEA: Second Cycle | EQF-LLL: Level 7 |
Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
CMP5887 | Seminar | Spring | 0 | 0 | 0 | 10 |
Prerequisites: |
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The course opens with the approval of the Department at the beginning of each semester |
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 Lecturer(s): |
Dr. Öğr. Üyesi TARKAN AYDIN |
Course Objectives: | This course aims providing students an opportunity to individually research, analyze, evaluate and present an academic study. |
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. |
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 |
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 |
Course Notes: | |
References: |
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 |
Activities | Number of Activities | Duration (Hours) | Workload |
Course Hours | 14 | 3 | 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 | 14 | 8 | 112 |
Presentations / Seminar | 1 | 5 | 5 |
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 | 159 |
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 | 1 |
2) | Use math, science, and modern engineering tools to formulate and solve advenced engineering problems | 1 |
3) | Notice, detect, formulate and solve new engineering problems. | 1 |
4) | Review the literature critically pertaining to his/her research projects, and connect the earlier literature to his/her own results | 4 |
5) | Follow, interpret and analyze scientific researches in the field of engineering and use the knowledge in his/her field of study | 3 |
6) | Work effectively in multi-disciplinary research teams | 2 |
7) | Acquire scientific knowledge | 5 |
8) | Find out new methods to improve his/her knowledge. | 5 |
9) | Effectively express his/her research ideas and findings both orally and in writing | 5 |
10) | Defend research outcomes at seminars and conferences. | 5 |
11) | Prepare master thesis and articles about thesis subject clearly on the basis of published documents, thesis, etc. | 5 |
12) | Demonstrate professional and ethical responsibility. | 3 |
13) | Develop awareness for new professional applications and ability to interpret them. | 1 |