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Artificial Intelligence Engineering-AING (English)

Artificial Intelligence (AI) Engineering (AIE) is a relatively new program established in 2023 to meet the increasing demand for qualified AI engineers. AI engineering is the practice of combining the principles of systems engineering, software engineering, computer science, and human-centered design to produce intelligent systems that can carry out certain activities or achieve specific objectives.

Students of the AIE Program have the possibility of accessing and intensively working on the most up-to-date information regarding this fast growing and widely applied field of study.

General Information

Artificial Intelligence Engineering profession is becoming a highly attractive trend in the whole world. Also, this trend and the increasing needs of the IT industry indicate that AIE graduates will find employment in production plants where Industry 4.0 or higher technologies lead to high cost-effective productivity and also in research institutions where AI studies result in new technologies with human-competitive intelligence.

The program contains compulsory courses which span almost all the current scope of the basic AI discipline. Starting with engineering foundation courses in the freshman year, program related courses start in the second year with both introductory and core AI courses. Course subjects include basic AI background, followed by programming languages for AI, data science, search strategies, neural networks, knowledge representation and machine learning which are covered in sophomore and junior years. In the senior year, students take area elective courses depending on their choice of specialization area. These courses also introduce new subjects concerning the conceptual and technological developments in the field.

Education

The main aim of the AIE Program is to equip students with the most up-to-date developments in the area of AIE and at the same time to enhance their life-long learning skills. All program related courses present both conceptual issues and the associated practice in well-equipped laboratories. Graduates of this program will have sufficient background on basic engineering subjects as well as on mathematics and physics. Fundamental courses on computer engineering and software engineering programs are also covered for maintaining hardware and software skills. Concerning the AIE subjects, a graduate will have both detailed knowledge on core AI subjects, as mentioned above, and future perspectives through area elective courses such as expert systems, information retrieval, data mining, big data analytics, human computer interaction and semantic web technologies.

Departmental Facilities

The AIE program offering education under the Computer Engineering department has internationally known distinguished full-time staff of academicians and researchers. Furthermore, a selected group of graduate students work as research and teaching assistants to help and guide practical work in laboratories. Fully equipped software and hardware labs enabling our students to combine theory and practice are available at the department. There is rich set of general-purpose and area-specific laboratories available in the department, such as graduation project laboratories, multimedia laboratories, logic design laboratories, microprocessors laboratory, circuit and electronics laboratory and, last but not least, area-specific research and development laboratories.

Career Opportunities

If you are interested in programming, data science, intelligent technologies or current research in artificial intelligence, AIE is a broad and multifaceted field of engineering that you may want to explore. You can work with contemporary breakthroughs and specialize in cutting-edge technologies such as self-driving vehicles, autonomous robots or smart homes by pursuing a career in AI. The first step is to select your ideal path and develop a realistic yet ambitious career strategy for yourself. Through our AIE program we aim to fully prepare you for such a career.

Contact

Tel: +90 392 630 1484
Fax: +90 392 365 0711
E-mail: cmpe.info@emu.edu.tr
Web: http://cmpe.emu.edu.tr


Please contact to department and/or faculty for detailed information about courses.

Ref. Course Code Course Title Lec. Lab Tut. Credit ECTS Syl.
Semester 1
2L711 AING107 Foundations of Computer Engineering 4 1 - 4 8
2L712 MATH163 Discrete Mathematics 3 - 1 3 5
2L713 ENGL191 Communication in English - I 3 1 - 3 4
2L713 ENGL181 Academic English - I 5 1 - 3 4
2L714 MATH151 Calculus - I 4 - 1 4 7
2L715 PHYS101 Physics - I 4 1 - 4 7
Semester 2
2L721 AING100 Introduction to Arificial Intelligence - 2 - - 1
2L722 AING112 Programming Fundamentals 4 1 - 4 8
2L723 ENGL192 Communication in English - II 3 - 1 3 4
2L723 ENGL182 Academic English - II 5 1 - 3 4
2L724 MATH152 Calculus - II 4 - 1 4 7
2L725 PHYS102 Physics - II 4 1 - 4 7
2L726 TUSL181 Turkish as a Second Language 2 - - 2 2
2L726 HIST280 Atatürk İlkeleri ve İnkilap Tarihi 2 - - 2 2
Semester 3
2L731 AING201 Fundamentals of Arificial Intelligence 4 1 - 4 6
2L732 AING231 Data Structures 4 1 - 4 7
2L733 AING211 Object Oriented Programming 4 1 - 4 7
2L734 MATH215 Probability for Machine Learning 3 - 1 3 5
2L735 MATH241 LINEAR ALGEBRA AND ORDINARY DIFFERENTIAL EQUATIONS 4 1 - 4 6
Semester 4
2L741 AING222 Introducation to Computer Organization 4 1 - 4 8
2L742 MATH214 Statistics for Engineers 3 - 3 3 6
2L743 ENGL201 Communication Skills in English III - Technical Report Writing 3 1 - 3 4
2L744 AING214 Programming Languages for Artifical Intelligence 4 1 4 4 7
2L745 UE-01 Uni.Elective - Arts & Humanities- I 3 - - 3 4
Semester 5
2L751 AING353 Database Management Systems 4 1 - 4 6
2L752 AING371 Analysis of Algorithms 4 1 - 4 6
2L753 AING428 Elements of Data Science 4 1 - 4 6
2L754 AING375 Basic Search Strategies 4 1 - 4 7
2L755 UE-02 Uni. Elective - Art & Humanities - II 3 - - 3 4
Semester 6
2L761 AING342 Client/Server Programming 4 1 - 4 7
2L762 AING352 Feedforward and Deep Neural Networks 4 1 - 4 7
2L763 AING354 Knowledge Representation and Reasoning 4 1 - 4 6
2L764 AING356 Machine Learning 4 1 - 4 7
2L765 UE-03 Uni. Elective - Art & Humanities - III 3 - - 3 4
Semester 7
2L771 AING400 Summer Practice - - - - 1
2L772 AING405 Graduation Project - I 1 1 - 1 1
2L773 AING471 Automata Theory 4 1 - 4 6
2L774 AING312 Software Engineering 4 1 - 4 7
2L775 AE01 Area Elective - I 3 - - 3 6
2L776 AE02 Area Elective - II 3 - - 3 6
2L777 UE-04 Uni. Elective - Social & Behavioral Sciences-II 3 - - 3 4
Semester 8
2L781 AING406 Graduation Project - II 1 4 - 3 7
2L782 AING423 Embedded System Design 4 1 - 4 6
2L783 AE03 Area Elective - III 3 - - 3 6
2L784 AE04 Area Elective - IV 3 - - 3 6
2L785 IENG355 Ethics in Engineering 3 - - 3 4

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