Department of Computer Engineering
Chairman’s Welcome Message

It is a pleasure to welcome you to the Computer Engineering website of Near East University,

The Department of Computer Engineering offers a Bachelor’s (B.Sc.) degree for undergraduate students and Master’s (M.Sc.) and Doctor of Philosophy (Ph.D.) degrees for postgraduate students  for their academic interest and the market needs. The department also offers an enriching academic environment where our dedicated staff members offer their best output, and students are encouraged to show their best performance.

Undergraduate computer engineering students are studying a wide range of subjects, including computer organization, programming languages, data communication and networking, database management systems, data structure and algorithms, software development, signal and systems, control systems, electronics, embedded systems, and artificial intelligence. Students are exposed to a broad spectrum of computer hardware and software engineering courses, with particular emphasis on embedded systems. Our students are provided with the knowledge and skills required for high-quality engineering work and are encouraged to develop a broad intellectual perspective so that they are well prepared for diverse and competitive career paths.

Our graduate programs are research-oriented and lead to the degrees of Master of Science and Doctor of Philosophy. Graduate students’ research facilities are available in embedded systems, software systems, with the application of different innovation technologies, and artificial intelligence elements. Through these core research areas, our faculty members contribute to the expansion of knowledge through numerous refereed publications.

On behalf of the faculty of the Department of Computer Engineering, I welcome you to explore the wide range of exciting educational and research opportunities offered by the Department. We welcome inquiries if you have any questions or would like additional information.

Prof. Dr. Rahib H. ABİYEV
Head of the Department
[email protected]

Courses

1st Semester

CODE COURSE NAME C/E T P C E
COM106 Introduction to Programming C 3 2 4 6
CHM101 General Chemistry C 3 2 4 5
ENG101 English I C 3 0 2 3
MTH101 Calculus I C 4 0 4 5
PHY101 General Physics I C 3 2 4 5
CAM100 Campus Orientation C 2 0 0 2
YİT101 / TUR101 Turkish for Foreigners I / Turkish Language I C 2 0 2 2
COM001 Computer Engineering Orientation C 2 0 0 2
Total 22 6 20 30

2nd Semester

CODE COURSE NAME C/E T P C E
AII104 Discrete Structures C 3 0 3 5
AII102 Programming & Problem Solving C 3 2 4 6
ENG102 English II C 3 2 2 3
MTH102 Calculus II C 4 0 4 6
PHY102 General Physics II C 3 2 4 6
YİT102 / TUR102 Turkish for Foreigners II / Turkish Language II C 2 0 2 2
GEC351 21st Century Skills E 2 0 0 2
Total 20 4 19 30

3rd Semester

CODE COURSE NAME C/E T P C E
AII001 Logic Design C 3 2 4 6
AII201 Data Structures& Algorithms C 3 2 4 6
AII204 Electrical Circuits C 3 0 3 5
MTH201 Differential Equations C 4 0 4 6
AİT103 / AİT101 Atatürk Principles & Reforms I C 2 0 2 2
MTH113 Linear Algebra C 3 0 3 5
Total 18 4 20 30

4th Semester

CODE COURSE NAME C/E T P C E
AII202 Database Management Systems C 3 2 4 5
AII203 Computer Architecture and Organization C 3 2 4 5
COM208 Electronics I C 3 2 4 5
ENG201 English Communication Skills C 3 0 3 4
AİT104 / AİT102 Atatürk Principles & Reforms II C 2 0 2 2
RE Restricted Electives E 3 0 3 4
COM200 Summer Training I C 0 0 0 5
Total 17 6 20 30

5th Semester

CODE COURSE NAME C/E T P C E
AII302 Operating Systems C 3 0 3 6
COM362 Signals and Systems for Computer Engineers C 3 2 4 6
COM339 Programming Language Concepts C 3 0 3 5
MTH251 Probability and Statistics C 3 0 3 6
COM344 Automata Theory C 3 0 3 5
CAR100 Career Planning C 2 0 0 2
Total 17 2 16 30

6th Semester

CODE COURSE NAME C/E T P C E
AII351 Embedded Systems C 3 2 4 5
AII303 Data Communications and Networking C 3 2 4 5
COM333 Operational Research E 3 0 3 5
COM382 Real Time Systems E 3 0 3 5
AII002 Systems Simulation C 3 0 3 5
COM300 Summer Training II C 0 0 0 5
Total 15 4 17 30

7th Semester

CODE COURSE NAME C/E T P C E
COM490 Engineering Design I C 2 2 3 7
AII003 Software Engineering C 3 0 3 6
TE Technical Elective E 3 0 3 5
TE Technical Elective E 3 0 3 5
TE Technical Elective E 3 0 3 5
CHC100 Cyprus: History and Culture E 2 0 0 2
Total 16 2 15 30

8th Semester

CODE COURSE NAME C/E T P C E
COM491 Engineering Design II C 2 2 3 8
AII426 Economics For Engineers E 3 0 3 5
FE Free Elective E 3 0 3 5
TE Technical Elective E 3 0 3 5
TE Technical Elective E 3 0 3 5
AII439 Occupational Health and Safety E 2 0 2 2
Total 16 2 17 30
Total No. of Courses52
Total No. of Electives13
Total No. of Credits145
Percentage of Electives25
Total ECTS240
Previous Total No. of Credits147
New Total No. of Credits144
Previous Total ECTS242
New Total ECTS240
C/E: Compulsory/ElectiveT: Hours of Theoretical Study
P: Hours of Practice/LabE: ECTS
C: Credits

ELECTIVE COURSE

CODE COURSE NAME T P C E
Technical Electives
AII401 Microprocessor Systems 3 0 3 5
AII402 Computer Graphics 3 0 3 5
COM410 Parallel Computer Architecture 3 0 3 5
COM414 Digital Control Systems 3 0 3 5
COM416 Computer Networks 3 0 3 5
AII404 Neural Networks 3 0 3 5
AII405 Computer Hardware 3 0 3 5
AII406 System Programming 3 0 3 5
COM430 Programming Languages I 3 0 3 5
AII407 Programming Languages II 3 0 3 5
AII005 İnternet Programlama 3 0 3 5
AII408 Advanced Object Oriented Programming 3 0 3 5
AII409 Object Oriented Programming II 3 0 3 5
COM447 Advanced Operating System 3 0 3 5
AII411 Digital Signal Processing 3 0 3 5
AII412 Database Applications 3 0 3 5
AII413 Introduction to Artificial Intelligence 3 0 3 5
COM452 Introduction to Parallel Computing 3 0 3 5
AII415 Decision Making 3 0 3 5
COM454 Advanced Computer Architecture and Organization 3 0 3 5
AII417 Mobile Computing 3 0 3 5
AII419 Digital Image Processing 3 0 3 5
COM471 Hardware Design using FPGAs 3 0 3 5
AII006 Web Design and Programming 3 0 3 5
AII007 Multimedia Systems 3 0 3 5
AII435 Mechatronics 3 0 3 5
AII423 Robotic Systems 3 0 3 5
AII445 Introduction to Machine Learning 3 0 3 5
AII439 Occupational Safety (Elective) 2 0 3 3
Restricted Electives
MTH323 Numerical Analysis 3 0 3 4
COM315 Algoritms 3 0 3 4
AII217 Microbiology 3 0 3 4
BME102 Biochemistry 3 0 3 4
Free Electives
AII427 Management for Engineers 3 0 3 5
BME102 One of Technical Electives 3 0 3 5

Objectives and Contents of the Course
Mission – Vision

Mission

The mission of the Computer Engineering undergraduate and graduate programs is to provide students with an understanding of the fundamental principles of computer engineering, the skills needed to solve the complex engineering problems of modern society and the ability to continue to learn and develop throughout their careers. Second, through its research programs, the department contributes to the development and progress of computer technology and transfers research results to industry through publications.

The understanding of the fundamental principles of computer engineering includes an understanding of design methodologies for digital systems, computer architecture and integrated circuits, algorithms and data structures, operating systems, and a wide variety of software applications across various computer languages. There is an excellent opportunity in laboratories to put the theory and design methods into practice by using digital components, design simulators, and microcontrollers.

Vision

The vision of the Computer Engineering BSc program is to be accredited nationally and internationally, communicate with other universities and the private sector consistently, provide quality education, such as at an international level and be one of the best computer engineering departments.

Program Information
Qualification Awarded

The students who successfully complete the program are awarded the degree of Bachelor of Science in Computer Engineering.

Level of Qualification

This is a First Cycle (Bachelor’s Degree) program.

Specific Admission Requirements

In the framework of the regulations set by Higher Education Council of Turkey (YÖK), student admission for this undergraduate program is made through a university entrance examination called YKS. Following the submission of students’ academic program preferences, Student Selection and Placement Center (ÖSYM) places the students to the relevant program according to the score they get from YKS.

International students are accepted to this undergraduate program according to the score of one of the international exams they take such as SAT, ACT and so on, or according to their high school diploma score.

Exchange student admission is made according to the requirements determined by bilateral agreements signed by NEU and the partner university.

Visiting students can enroll for the courses offered in this program upon the confirmation of the related academic unit. Additionally, they need to prove their English language level since the medium of instruction of the program is English.

Qualification Requirements and Regulations

The students studying in this undergraduate program are required to have a Cumulative Grade Points Average (CGPA) of not less than 2.00/4.00 and have completed all the courses with at least a letter grade of DD/S in the program in order to graduate. The minimum number of ECTS credits required for graduation is 240. It is also mandatory for the students to complete their compulsory internship in a specified duration and quality.

Recognition of Prior Learning

At Near East University, full-time students can be exempted from some courses within the framework of the related bylaws. If the content of the course previously taken in another institution is equivalent to the course offered at NEU, then the student can be exempted from this course with the approval of the related faculty/graduate school after the evaluation of the course content.

Profile of the Program

The aim of the program is to equip its graduates with the scientific principles that underpin today's core information technologies, as well as the engineering skills required to apply these principles in practice. Upon graduation, students will be prepared to pursue careers as computing professionals or, if they choose, continue with academic studies. Graduates will be adaptable professionals who can quickly integrate into and contribute to a wide range of industry sectors.

A broad-based engineering program that integrates hardware and software knowledge to design, analyze, and develop computer systems, networks, and intelligent technologies. It combines theoretical foundations, applied laboratory work, and engineering design to prepare graduates for professional practice and lifelong learning.

Program Learning Outcomes
1To have adequate knowledge in Mathematics, Science and Computer Engineering; to be able to use theoretical and applied information in these areas on complex engineering problems
2To be able to identify, define, formulate, and solve complex Computer Engineering problems; to be able to select and apply proper analysis and modeling methods for this purpose.
3To be able to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the requirements; to be able to apply modern design methods for this purpose.
4To be able to devise, select, and use modern techniques and tools needed for analysis and solution of complex problems in Computer Engineering applications; to be able to use information technologies effectively.
5To be able to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or Computer Engineering research topics.
6To be able to work efficiently in Computer Engineering disciplinary and multi-disciplinary teams; to be able to work individually.
7To be able to communicate effectively, both orally and in writing; to be able to author and comprehend written reports, to be able to prepare design and implementation reports, to present effectively, to be able to give and receive clear and comprehensible instructions.
8To have knowledge about global and social impact of Computer Engineering practices on health, environment, and safety; to have knowledge about contemporary issues as they pertain to engineering; to be aware of the legal ramifications of Computer Engineering solutions.
9To be aware of ethical behavior, professional and ethical responsibility; to have knowledge about standards utilized in engineering applications.
10To have knowledge about industrial practices such as project management, risk management, and change management; to have awareness of entrepreneurship and innovation; to have knowledge about sustainable development.
11To be able to collect data in the area of Computer Engineering, and to be able to communicate with colleagues in a foreign language. ("European Language Portfolio Global Scale", Level B1)
12To be able to speak a second foreign language at a medium level of fluency efficiently.
13To recognize the need for lifelong learning; to be able to access information, to be able to stay current with developments in science and technology; to be able to relate the knowledge accumulated throughout the human history to Computer Engineering.
Course and Program Outcomes Matrix
Occupational Profiles of Graduates

Computer engineers, software developers, system analysts, hardware designers, network engineers, data scientists, or researchers. Graduates of Computer Engineering program may work in the Information Technologies department of a bank, a university, a hospital, a public institution, or a private company. Additionally, they may be employed as system analyst, application programmer, data base administrator, network designer, security administrator, system evaluator, system programmer, system designer, standard and methods inspector, final user support specialist in production, marketing, financial affairs, human resources and/or research and development departments of a production company.

Access to Further Studies

The students graduating from this program may apply to graduate programs.

Course Structure Diagram with Course Credits

The undergraduate program in Computer Engineering consists of 47 courses with 240 ECTS credits in total.

There are at least 5 courses in each semester, excluding common compulsory courses and elective courses.

In each program, there are common compulsory courses identified by the Higher Education Council of Turkey (YÖK) and other common courses determined by the University Senate.

Beginning from the junior (third) year, elective courses are anticipated in each semester.

25% of the elective courses are taken from other faculties.

There are at least 7 elective courses in each undergraduate program.

Course Structure Diagram with Course Credits

Exam Regulations, Assessment and Grading
Graduation Requirements

In order to graduate from this undergraduate program, the students are required;

  • to succeed in all of the courses listed in the curriculum of the program by getting the grade of at least DD/S with a minimum of 240  ECTS
  • to have a Cumulative Grade Point Average (CGPA) of 2.00 out of 4.00
  • to complete their compulsory internship in a specified duration and quality.
Mode of Study

This is a full time program.

Program Director (or Equivalent)

Prof. Dr. Rahib H. ABİYEV, Head of the Department, Faculty of Artificial Intelligence and Informatics, Near East University

Evaluation Questionnaires
  • Evaluation Survey
  • Graduation Survey
  • Satisfaction Survey