Computer Engineering (YL) Master Degree With a Thesis Program

Academic Unit Presenting the ProgramComputer Engineering (YL)
Program Director..
Program TypeMaster Degree With a Thesis Program
Level of Degree EarnedGraduate (Master’s Degree).
Degree EarnedPost graduate diploma is given to the graduates who successfully complete the post graduate study at the concerning department depending upon the graduate school of natural and applied sciences.
Education Type Tam Zamanlı
Registration Acceptance Conditions(1) Candidates who apply for admission to a master programme should hold a valid bachelor’s degree and, except the applicants to the Department of Music, a minimum score of 55 from the Selection Examination for Academic Personnel and Graduate Studies (ALES) administered by the Student Selection and Placement Centre (ÖSYM). Instead of ALES score, candidates may choose to submit the scores of other internationally accepted examinations whose validity and equivalency are determined by the University Senate. (2) The final admission score is determined as the total sum of %10 of the undergraduate GPA, %50 of ALES score and %40 of the grade received in the entrance examination which is conducted by a jury determined by and representing the Department. The final admission score should be at least 65. The number of accepted students is decided prior to the admission and the successful applicants are shortlisted according to the scores starting with the highest ones.   
Recognition of Prior LearningA student who has successfully completed at least one semester in a comparable master programme at another accredited institution is eligible as a lateral transfer. Lateral transfers are generally admitted after being evaluated on a case by case basis and upon the decision of the administration of the Department and the Graduate School. 
Degree Requirements and Rules to take a minimum of 7 courses with a minimum of 21 local credits.
to succeed in all the courses with a letter grade of at least CC/S
to prepare and defend a master's dissertation
to have a Cumulative Grade Point Average of at least 2.00/4.00 with a minimum of 120 ECTS credits.
Program Profile
Occupational Profiles of Graduates
Access To Upper DegreeUpon successful completion of their master programme, the students are encouraged to embark on further academic studies on the graduate level (doctoral programme) on condition of having received the required score in ALES exam, possessing sufficient knowledge of English or another foreign language, and being successful in the entrance examination.
Exams, Assessment and Grading

For a student to have successfully completed the master programme, the GPA should be at least 65.

Grades

The grading system to evaluate the student performance is signified by the values in the chart below. For each course students are graded by letters. Letter grades, coefficients and ratios are as follows:

 

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

 

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-The ability to generate different solutions based on theoretical foundations of analysis and design, and compare them in terms of their benefits and costs, and implement the most appropriate solution
2-The ability to conduct in-depth research on the topic of study in the field of Computer Science and Engineering, evaluate the acquired knowledge, and apply it effectively
3-Comprehensive knowledge about current techniques and limitations used in computer engineering.
4-The ability to follow scientific developments and renew oneself.
5-The ability to collect scientific data, evaluate it, and interpret it.
6-Ability to integrate and collaborate with teams from different disciplines to solve a problem and generate a solution
7-Effective verbal and written communication of problem-solving skills and scientific knowledge
8-Ability to identify the most suitable tools for a given problem
9-Ability to plan projects and manage time effectively, and take precautions against potential risks.
10-Ability to conduct scientific work with consideration for societal, environmental, and ethical values
11-Ability to work as a researcher in national or international R&D-focused institutions (universities, companies' R&D centers and research institutes, etc.) or establish their own business in the field of computer engineering, use their acquired research skills and knowledge of scientific advancements in the field.

Curriculum

Computer Engineering (YL)


Course

2025-2026 Fall Semester
Course Code Course Name Browse T A ECTS
LÜ-FBE-04 Scientific Research Techniques and Scientific Ethics 3 0 5
LÜ-FBE-01 Special Topics 8 0 10
Elective 2025-2026 Güz Dönemi Bilgisayar Mühendisliği Seçmeli Dersler() 45
LÜ-BMB-10 Advanced Data Mining and Big Data 3 0 5
LÜ-BMB-20 Advanced Topies in İmage Processing and Applications 3 0 5
LÜ-BMB-25 Artificial Intelligence-Based Time Series and Data Analytics 3 0 5
LÜ-BMB-01 Introduction to Cryptology and Computer Network Security 3 0 5
LÜ-BMB-04 Metaheuristic Algorithms 3 0 5
LÜ-BMB-08 Programming Methodology in Python 3 0 5
Total ECTS: 60

2025-2026 Spring Semester
Course Code Course Name Browse T A ECTS
LÜ-FBE-02 MSc. Seminar 0 2 5
LÜ-FBE-04 Scientific Research Techniques and Scientific Ethics 3 0 5
LÜ-FBE-01 Special Topics 8 0 10
Elective 2025-2026 Bahar Dönemi Bilgisayar Mühendisliği Seçmeli Dersler() 0
LÜ-BMB-11 Artificial Intelligence Techniques and Machine Learning 3 0 5
LÜ-BMB-05 Compressed Pattern Matching 3 0 5
LÜ-BMB-02 Cryptology and Computer Network Security 3 0 5
LÜ-BMB-12 High Performance Computing 3 0 5
LÜ-BMB-09 Information Retrieval and Web Search 3 0 5
Total ECTS: 20
Total ECTS(Year): 80
Thesis

2025-2026 Fall 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

2025-2026 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): 60