Computer Engineering (DK) Doctorate Degree Program

Academic Unit Presenting the ProgramComputer Engineering (DK)
Program DirectorProf. Dr. Ercan BULUŞ
Program TypeDoctorate Degree Program
Level of Degree EarnedDoctorate
Degree EarnedGraduates who successfully complete their doctoral studies in the relevant department affiliated with the Institute of Science are awarded a doctoral diploma.
Education TypeTam Zamanlı
Registration Acceptance Conditionsa) They must have a bachelor's or thesis-based master's degree; a medical, dentistry and veterinary faculty diploma of at least ten semesters excluding preparatory classes, a bachelor's or master's degree from pharmacy and science faculties or a specialist authority gained in a laboratory branch according to the principles regulated by the Ministry of Health and have at least 55 standard points in the score type of the program they are applying for from ALES or be successful in internationally accepted exams whose equivalence is accepted by the Senate instead of the ALES result and whose success base points are determined. Those who apply with a bachelor's degree must have at least 80 standard points in the score type of the program they are applying for from ALES. Those who apply to the doctoral program with a bachelor's degree must have a bachelor's graduation grade point average of at least 3 out of 4 or an equivalent score. b) In order to apply to the doctoral program, a minimum score of 55 from YDS or an equivalent score from an exam accepted by the Interuniversity Board is required. For foreign students, a minimum score of 55 from YDS or an equivalent score from an exam accepted by the Interuniversity Board is required in a language other than their mother tongue, such as English, French or German. The Senate is authorized to increase the minimum scores in question according to the characteristics of the programs to be entered. c) In accepting students to doctoral programs, the success grade is calculated by adding 20% ​​of the weighted GPA of the undergraduate degree for applicants with a bachelor's degree, 50% of the standard score obtained from ALES, and 30% of the score obtained as a result of the interview conducted by the jury established by the institute's board of directors for each department. In order for a candidate to be considered successful, the success grade must be at least 70. Students are accepted as many as the announced quota by ranking from the highest score to the lowest.
Recognition of Prior LearningSuccessful students who have completed at least one semester in another department of the relevant university or institute of technology or in a postgraduate program of another higher education institution may apply for the horizontal transfer quota announced in the relevant department. Horizontal transfer is possible with the approval of the relevant department head and the decision of the institute's board of directors.
Degree Requirements and Rules The students studying in this Ph.D program are required:
to take a minimum of 7 courses with a minimum of 21 local credits
to pass the qualifying examination,
to prepare and defend a doctoral dissertation
to succeed in all the courses with a letter grade of at least CB/S
to have a Cumulative Grade Point Average of at least 2.50/4.00 with a minimum of 240 ECTS credits.
Program Profile
Occupational Profiles of Graduates
Access To Upper DegreeGraduates who successfully complete the master's program can apply to doctoral programs in their own field or in multi-disciplinary fields, provided that they receive a passing score from the ALES exam and have English language proficiency, and are accepted if they are successful in the interview exam.
Exams, Assessment and Grading

To be considered successful, the success grade must be at least 75 points in the doctoral program.

Grades
The student is given the letter grades specified below as a term grade for each course taken. The letter grades, coefficient and ratio equivalents are as follows.
The grading system used as the basis for evaluating students' success is expressed with the degrees and letters specified below:

 

Grade

Letter Grade

Local Grade

Status

90-100

AA

4.00

Pass

85-89

BA

3.50

Pass

80-84

BB

3.00

Pass

75-79

CB

2.50

Pass

65-74

CC

2.00

Pass

0-64

FF

1.50

Fail

 

To be considered successful in a course, the success grade must be at least 75 points in the doctoral program; in the letter system, the letter grade must be CB in the doctoral program.

Graduation Requirements
Teaching Methods

Teaching Methods

Teaching methods are determined so as to improve skills, such as teaching-learning strategies, self-discipline, life-long learning, observation, sharing knowledge, presentation, critical thinking, teamwork, effective use of informatics.

Moreover, the choice of teaching methods pays heed to supporting students with different skills. The teaching methods used in the program are listed below*:

 

TEACHING METHODS*

LEARNING ACTIVITIES

MEANS

Course

Listening and interpretation

Standard classroom technologies, multimedia devices, projector, computer, overhead projector

Discussion Course

Listening and interpretation, observation/situation handling, critical thinking, question development

Standard classroom technologies, multimedia devices, projector, computer, overhead projector

Special Support / Structural Examples

Special skills planned beforehand

 

Playing a Role / Drama

Special skills planned beforehand

Standard classroom technologies, special equipment

Problem Solving

Special skills planned beforehand

 

Case Study

Special skills planned beforehand

 

Brainstorming

Listening and interpretation, observation/situation handling, critical thinking, question development, team work

Standard classroom technologies, multimedia devices, projector, computer, overhead projector

Small Group Discussion

Listening and interpretation, observation/situation handling, critical thinking, question development

Standard classroom technologies, multimedia devices, projector, computer, overhead projector

Presentation

Listening and interpretation, observation/situation handling

Real or virtual environment suitable for observation

Simulation

Listening and interpretation, observation/situation handling, informatics skills

Real or virtual environment suitable for observation

Seminar

Research – lifelong learning, writing, reading, informatics, listening and interpretation, management skills

Standard classroom technologies, multimedia devices, projector, computer, overhead projector, special equipment

Group Study

Research – lifelong learning, writing, reading, informatics, critical thinking, question development, management skills, team work

 

Field / Land Study

Observation / situation handling, research – lifelong learning, writing, reading

 

Laboratory

Observation/situation handling, informatics, management skills, team work

Special equipment

Homework

Research – lifelong learning, writing, reading, Informatics

Internet database, library database, e-mail

Oral Exam

 

 

Survey and Questionnaire Study

Research – lifelong learning, writing, reading

 

Panel

Listening and interpretation, observation/situation handling

Standard classroom technologies, multimedia devices, projector, computer, overhead projector, special equipment

Guest Speaker

Listening and interpretation, observation/situation handling

Standard classroom technologies, multimedia devices, projector, computer, overhead projector, special equipment

Student Club Activity / Projects

Observation/situation handling, critical thinking, question development, team work, research – lifelong learning, writing, reading, management skills, special skills planned beforehand

 

 

*One or more of the listed methods can be used depending on the specificity of the course. 

Program Outcomes

1-To produce different solutions based on the theoretical foundations of analysis and design, compare them in terms of benefits and costs, and implement the most appropriate solution.
2-To be able to conduct in-depth research in the field of Computer Science and Engineering, evaluate and apply the acquired knowledge.
3-To have comprehensive knowledge of current techniques and methods used in Computer Engineering, as well as their limitations.
4-To follow scientific developments and be able to renew oneself.
5-To be able to collect, evaluate, and interpret scientific data.
6-To integrate and collaborate with teams from different disciplines to solve a problem and generate solutions.
7-To effectively express problem solutions and scientific knowledge both in written and verbal form.
8-To identify the most suitable tools for solving a problem.
9-To plan projects, manage time, and take precautions against potential risks.
10-To conduct scientific work considering social, environmental, and ethical values.
11-To work as a researcher in national or international R&D-focused institutions (universities, R&D centers of companies, research institutes, etc.), or to establish one's own business in the field of computer engineering, providing employment, and using the learned research skills in the professional field by following scientific developments in the area.

Curriculum


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Computer Engineering (DK)


Course

2024-2025 Fall Semester
Course Code Course Name Browse T A ECTS
LÜ-FBE-05 Doctoral Qualification 0 0 20
LÜ-FBE-03 Ph.D. Seminar 0 2 5
LÜ-FBE-01 Special Topics 8 0 10
LÜ-FBE-06 Thesis Proposal 0 0 20
Total ECTS: 55

2024-2025 Spring Semester
Course Code Course Name Browse T A ECTS
LÜ-FBE-05 Doctoral Qualification 0 0 20
LÜ-FBE-03 Ph.D. Seminar 0 2 5
LÜ-FBE-01 Special Topics 8 0 10
LÜ-FBE-06 Thesis Proposal 0 0 20
Total ECTS: 55
Total ECTS(Year): 110
Thesis

2024-2025 Spring Semester
Course Code Course Name Browse T A ECTS
LÜ-FBE-01 Special Topics 8 0 10
LÜ TEZ Thesis 0 0 20
Total ECTS: 30
Total ECTS(Year): 30

Matrix of Course - Program Outcomes

LÜ-FBE-05 Doctoral Qualification
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LÜ-FBE-03 Ph.D. Seminar
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55544434434
55544434434
55544434434
55544434434
LÜ-FBE-06 Thesis Proposal
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44434334433
34434334433
44434334433
44434334433
LÜ-FBE-05 Doctoral Qualification
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55555444434
55555444434
05555444434
55554444434
55555444434
LÜ-FBE-03 Ph.D. Seminar
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44444244333
44444244333
44444244333
44444244333