ARTIFICIAL INTELLIGENCE ENGINEERING
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

Course Introduction and Application Information

Course Code	Course Name	Semester	Theoretical	Practical	Credit	ECTS
EEE4932	Special Topics in Electrical and Electronics Engineering II	Spring	3	0	3	6

This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

Language of instruction:	English
Type of course:	Non-Departmental Elective
Course Level:	Bachelor’s Degree (First Cycle)
Mode of Delivery:	Face to face
Course Coordinator :	Prof. Dr. ŞEREF KALEM
Recommended Optional Program Components:	None
Course Objectives:	The aim of this course is to review the latest developments in electrical engineering. Topics may include but are not limited to image and video processing, speech processing, telecommunications, wireless networks, biomedical engineering. The students will conduct a literature survey on recent papers in a selected research topic and will present their results to the class. Students will also have an opportunity to discuss with local guest speakers.

Learning Outcomes

The students who have succeeded in this course;
1. Search for the recent papers
2. Review the recent papers
3. Identify the important articles about hot topics in the field
4. Identify the areas of controversy among research results if possible
5. Report the results of the literature review as a technical document
6. Present the results of the literature review in class
7. Discuss with local guest speakers

Course Content

Introduction to Special Topics in Electrical Engineering, guest speaker presentations, literature review, student presentations, writing a technical report

Weekly Detailed Course Contents

Week	Subject	Related Preparation
1)	Introduction to Special Topics in Electrical Engineering
2)	Guest speaker presentation
3)	Guest speaker presentation
4)	Guest speaker presentation
5)	Guest speaker presentation
6)	Guest speaker presentation
7)	Guest speaker presentation
8)	Student presentation
9)	Student presentation
10)	Student presentation
11)	Student presentation
12)	Student presentation
13)	Student presentation
14)	Student presentation

Sources

Course Notes / Textbooks:	NA
References:	NA

Evaluation System

Semester Requirements	Number of Activities	Level of Contribution
Attendance	1	% 20
Homework Assignments	1	% 30
Presentation	1	% 50
Total		% 100
PERCENTAGE OF SEMESTER WORK		% 100
PERCENTAGE OF FINAL WORK		%
Total		% 100

ECTS / Workload Table

Activities	Number of Activities	Workload
Course Hours	14	42
Study Hours Out of Class	16	84
Homework Assignments	1	25
Total Workload		151

Contribution of Learning Outcomes to Programme Outcomes

No Effect	1 Lowest	2 Low	3 Average	4 High	5 Highest

	Program Outcomes	Level of Contribution
1)	Have sufficient background in mathematics, science and artificial intelligence engineering.
2)	Use theoretical and applied knowledge in the fields of mathematics, science and artificial intelligence engineering together for engineering solutions.
3)	Identify, define, formulate and solve engineering problems, select and apply appropriate analytical methods and modeling techniques for this purpose.
4)	Analyse a system, system component or process and design it under realistic constraints to meet desired requirements; apply modern design methods in this direction.
5)	Select and use modern techniques and tools necessary for engineering applications.
6)	Design and conduct experiments, collect data, and analyse and interpret results.
7)	Work effectively both as an individual and as a multi-disciplinary team member.
8)	Access information via conducting literature research, using databases and other resources
9)	Follow the developments in science and technology and constantly update themself with an awareness of the necessity of lifelong learning.
10)	Use information and communication technologies together with computer software with at least the European Computer License Advanced Level required by their field.
11)	Communicate effectively, both verbal and written; know a foreign language at least at the European Language Portfolio B1 General Level.
12)	Have an awareness of the universal and social impacts of engineering solutions and applications; know about entrepreneurship and innovation; and have an awareness of the problems of the age.
13)	Have a sense of professional and ethical responsibility.
14)	Have an awareness of project management, workplace practices, employee health, environment and work safety; know the legal consequences of engineering practices.