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Courses
1st Semester 2nd Semester 3rd Semester 4th Semester 5th Semester 6th Semester 7th Semester 8th Semester ELECTIVE COURSE
CODE
COURSE NAME
C/E
T
P
C
E
ENG101
ENGLISH I
C
3
0
2
3
MTH171
MATHEMATICS FOR BUSINESS AND ECONOMICS I
C
3
0
3
6
EAS101
PRINCIPLES OF ECONOMICS I
C
3
0
3
7
EAS103
INTRODUCTION TO BUSINESS
C
3
0
3
6
MIS101
INTRO. TO INFORMATION TECHNOLOGIES I
C
3
0
3
4
YİT101/
TUR101
TURKISH FOR INTERNATIONAL STUDENTS I
TURKISH LANGUAGE I (TURKISH STDS)
C
2
0
2
2
CAM100
CAMPUS ORIENTATION
C
2
0
0
2
Total
19
0
16
30
CODE
COURSE NAME
C/E
T
P
C
E
ENG102
ENGLISH II
C
3
0
2
3
MTH172
MATHEMATICS FOR BUSINESS AND ECONOMICS II
C
3
0
3
6
EAS102
PRINCIPLES OF ECONOMICS II
C
3
0
3
7
EAS104
PRINCIPLES OF MANAGEMENT
C
3
0
3
6
MIS132
ALGORITHMS AND PROGRAMMING TECHNIQUES
C
3
0
3
4
YİT102/
TUR102
TURKISH II (FOREIGN STDS)
TURKISH II (TURKISH STDS)
C
2
0
2
2
GEC351
21st CENTURY SKILLS
C
2
0
0
2
Total
19
0
16
30
CODE
COURSE NAME
C/E
T
P
C
E
MAN201
COMMUNICATION FOR BUSINESS I
C
3
0
3
4
MIS210
INTRODUCTION TO MIS I
C
3
0
3
6
MTH261
STATISTICS I
C
3
0
3
6
MIS202
FUNDEMANTALS OF PROGRAMMING
C
2
2
3
4
EAS203
FINANCIAL ACCOUNTING I
C
3
0
3
6
AİT103 / AİT101
PRINCIPLES OF ATATURK AND HISTORY OF TURKISH REVOLUTION I (FOR FOREIGNERS) PRINCIPLES OF ATATÜRK I (FOR TURKISH STDS)
C
2
0
2
2
CHC100
CYPRUS HISTORY AND CULTURE
C
2
0
0
2
Total
15
2
17
30
CODE
COURSE NAME
C/E
T
P
C
E
MIS246
DATABASE MANAGEMENT
C
3
0
3
6
MIS223
MANAGEMENT INFORMATION SYSTEMS II
C
2
2
3
6
MTH262
STATISTIC II
C
3
0
3
6
Elective
ELECTIVE
C
2
0
3
4
MIS202
NEW TRENDS IN BUSINESS IT
C
2
0
3
4
AİT104 / AİT102
PRINCIPLES OF ATATURK AND HISTORY OF TURKISH REVOLUTION II (FOR FOREIGNERS) PRINCIPLES OF ATATÜRK II (FOR TURKISH STDS)
C
2
0
2
2
CAR100
CAREER PLANNING
C
0
0
0
2
Total
14
0
17
30
CODE
COURSE NAME
C/E
T
P
C
E
Elective
ELECTIVE
C
2
0
3
6
MIS320
DATA SCIENCE
C
2
2
3
6
Elective
ELECTIVE
C
3
0
3
6
Elective
ELECTIVE
C
3
0
3
6
MIS322
SYSTEM ANALYSIS AND DESIGN
C
2
2
3
6
Total
13
4
15
30
CODE
COURSE NAME
C/E
T
P
C
E
MIS321
E-BUSINESS SYSTEMS
C
3
0
3
6
EAS308
OPERATIONS RES& MAN
C
2
2
3
6
Elective
ELECTIVE
C
2
0
3
6
Elective
ELECTIVE
C
2
2
3
6
Elective
ELECTIVE
C
2
2
3
6
Total
12
6
15
30
CODE
COURSE NAME
C/E
T
P
C
E
MIS403
PROJECT I
C
3
0
3
6
MIS435
E-LEARNING SYSTEMS
C
3
0
3
4
Elective
ELECTIVE
C
3
0
3
6
Elective
ELECTIVE
E
2
2
3
6
Elective
ELECTIVE
E
2
2
3
6
INTERNSHIP
C
0
2
0
2
Total
13
4
15
30
CODE
COURSE NAME
C/E
T
P
C
E
MIS400
PROJECT II
C
3
0
3
6
MIS410
DECISION SUPPORT SYSTEMS
E
2
2
3
6
MIS420
ENTERPRISE RESOURCE PLANNING SYSTEMS
E
2
2
3
6
Elective
ELECTIVE
E
2
2
3
6
Elective
ELECTIVE
E
2
2
3
6
Total
12
6
15
30
Total No. of Courses 48 Total No. of Electives 12 Total No. of Credits 126 Percentage of Electives 25 Total ECTS 240 C/E: Compulsory/Elective T: Hours of Theoretical Study P: Hours of Practice/Lab E: ECTS C: Credits
CODE
COURSE NAME
T
P
C
E
MIS242
ANIMATION TECHNOLOGIES
2
2
3
4
MIS416
COMPUTER NETWORKS
2
2
3
4
CIS420
INFORMATION SYSTEMS SECURITY
2
2
3
4
MIS430
INFORMATION SYSTEMS FOR COMMUNICATION
2
2
3
4
MIS312
INFORMATIONS SYSTEMS SECURITY
2
2
3
6
MIS436
WEB TECHNOLOGIES
2
2
3
6
MIS450
IT PROJECT MANAGEMENT
2
2
3
4
MIS460
MOBILE APPLICATION DEVELOPMENT
2
2
3
4
CIS486
DATABASE PROGRAMMING II
2
2
3
4
MIS488
WEB DEVELOPMENT
2
2
3
4
MIS401
E-GOVERNMENT
2
2
3
4
MIS412
CRYPTOGRAPHY AND CODING THEORY
2
2
3
4
MIS414
MULTIMEDIA SYSTEMS
2
2
3
4
MIS490
IT AND SUSTAINABILITY
2
2
3
6
MIS418
TELECOMMUNICATION IN BUSINESSES
2
2
3
4
MIS419
INTRODUCTION TO ARTIFICIAL INTELLIGENCE
2
2
3
4
MIS485
INFOGRAPHIC DESIGN
2
2
3
6
MIS436
SOCIAL MEDIA MANAGEMENT
2
2
3
6
MIS207
INTRODUCTION TO INFORMATION RETRIEVAL
2
2
3
6
MIS401
SUSTAINABLE FINANCE AND INVESTMENT
2
2
3
6
MIS442
ETHICAL AND SOCIAL ISSUES IN IS
2
2
3
4
MIS368
PROGRAMMING LANGUAGE III
2
2
3
4
MIS491
DIGITAL TRANSFORMATION FOR SUSTAINABLE BUSINESS
2
2
3
4
MIS313
PROGRAMMING LANGUAGE II
2
2
3
6
MIS325
DATABASE PROGRAMMING I
2
2
3
6
EAS204
FINANCIAL ACCOUNTING II
2
2
3
6
EAS403
MARKETING RESEARCH
2
2
3
6
EAS402
HUMAN RESOURCE MANAGEMENT
2
2
3
6
MAN454
INTERPERSONAL RELATIONSHIPS IN WORKING LIFE
2
2
3
6
MAN473
LEADERSHIP
2
2
3
6
GEC
SUSTAINABLE DEVELOPMENT AND EDUCATION
2
2
3
6
BANK405
RISK MANAGEMENT
2
2
2
3
EAS310
ORGANIZATIONAL BEHAVIOUR
2
2
3
6
EAS305A
PRINCIPLES OF MARKETING
3
0
3
6
EAS305B
PRINCIPLES OF MARKETING
3
0
3
6
EAS402
HUMAN RESOURCE MANAGEMENT
3
0
3
6
HRM428
RESOURCING AND TALENT MANAGEMENT
3
0
3
6
MAN425
KNOWLEDGE MANAGEMENT
3
0
3
6
MAN473
LEADERSHIP
3
0
3
6
MAN490
CORPORATE SOCIAL RESPONSIBILITY
3
0
3
6
Mission – Vision
Program Information
Qualification Awarded
The students who successfully complete the program are awarded the degree of Bachelor of Science in Artificial Intelligence 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 ÖSYS.
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 251. 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 program's goal is to equip its graduates with both the fundamental scientific principles that underpin the key artificial intelligence technologies in use today and the engineering skills that enable those principles to be applied in practice. Upon graduation, students should be equipped to pursue a career as artificial intelligence professionals or, if they so wish, to pursue further academic studies. The graduates will be professionals who can be flexible and integrate in a relatively short time into a wide-range of different sectors of the industry.
Program Outcomes
- To have adequate knowledge in Mathematics, Science and Artificial intelligence Engineering; to be able to use theoretical and applied information in these areas on complex engineering problems.
- Gains the ability to understand the basic algorithms of artificial intelligence-based systems and understand the basic concepts of artificial intelligence-based systems.
- Gain knowledge of problem solving and planning.
- To be able to design artificial intelligence based systems.
- To be able to devise, select, and use modern techniques and tools needed for analysis and solution of complex problems in Artificial Intelligence Engineering applications; to be able to use information technologies effectively.
- Intelligent agents, search methods in problem solving, informed and uninformed search methods, exploration methods, constraint supply problems, game playing, knowledge and reasoning, primary logic, knowledge representation, learning.
- To be able to solve real life problems involving large and complex data sets using mathematical computational and artificial intelligence techniques
- To have knowledge about global and social impact of Artificial Intelligence 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 Artificial Intelligence Engineering solutions.
- To be aware of ethical behaviour, professional and ethical responsibility; to have knowledge about standards utilized in engineering applications.
- To be able to represent information using different techniques
- To be able to the appropriate scanning technique to achieve the desired goals.
- To be able to collect data in the area of Artificial Intelligence Engineering, and to be able to communicate with colleagues in a foreign language. ("European Language Portfolio Global Scale", Level B1)
- To be able to communicate effectively in Turkish, 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.
Course and Program Outcomes Matrix
Occupational Profiles of Graduates
Graduates of Artificial Intelligence Engineering program may work as a AI/Machine Learning Engineer or Developer. Also they can work in the Healthcare, Customer service, Airline industry, Cybersecurity, Education, Marketing, Retail and E-Commerce, Financial Markets and Services departments.
Access to Further Studies
The students graduating from this program may apply to graduate programs.
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 251 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. Fadi AL-TURJMAN, Head of Department, Faculty of Engineering, Near East University
Evaluation Questionnaires
- Evaluation Survey
- Graduation Survey
- Satisfaction Survey