Artificial Intelligence Engineering (Master) (With Thesis) (English)
Master	TR-NQF-HE: Level 7	QF-EHEA: Second Cycle	EQF-LLL: Level 7

General course introduction information

Course Code:

AIE501

Course Name:

Seminar

Course Semester:

Fall

Course Credits:

Theoretical	Practical	Credit	ECTS
0	0	0	10

Language of instruction:

Course Requisites:

Does the Course Require Work Experience?:

Type of course:

Compulsory

Course Level:

Master

TR-NQF-HE:7. Master`s Degree

QF-EHEA:Second Cycle

EQF-LLL:7. Master`s Degree

Mode of Delivery:

Face to face

Course Coordinator :

Prof. Dr. PINAR YILDIRIM

Course Lecturer(s):

Prof. Dr. PINAR YILDIRIM

Course Assistants:

Course Objective and Content

Course Objectives:	The aim of this course is to enable students to define problems in the field of informatics in accordance with a specific subject and to carry out studies in order to solve the problem. As a result, Students prepare a seminar for the solution of the defined problem.
Course Content:	Students choose and prepare the seminar together own academic consultant.

Learning Outcomes

The students who have succeeded in this course;

Learning Outcomes

1 - Knowledge
Theoretical - Conceptual
2 - Skills
Cognitive - Practical
3 - Competences
Communication and Social Competence
Learning Competence
1) To Make master's degree thesis studies for the solution of problems in the field of informatics.
Field Specific Competence
1) To be able to define problems in the field of informatics.
Competence to Work Independently and Take Responsibility

Lesson Plan

Week	Subject	Related Preparation
1)	Fundamentals of Scientific Research. Knowledge, Science and Scientific Method.
2)	Defining the Subject of the Research, Purpose, Literature Review, Importance, Aim, Methods (Modelling), Limitations, Definitions, Plagiarism
3)	Deciding on the Research Subject and Problem, Starting the Work Actually.
4)	Thesis Individual Study
5)	Individual Thesis Work
6)	Evaluation of the Literature Review of the Students Performed in the Individual Thesis Study.
7)	Individual Thesis Work
8)	Interim Evaluation of Student Thesis Studies.
9)	Individual Thesis Work
10)	Individual Thesis Work
11)	Interim Evaluation of the Developed Model
12)	Individual Thesis Work
13)	Individual Thesis Work
14)	Thesis Defense and Final Evaluation

Sources

Course Notes / Textbooks:	yoktur
References:	There isn't

Course-Program Learning Outcome Relationship

Learning Outcomes	1	2
Program Outcomes
1) Information on project management and practices in business life such as risk management and change management; awareness about entrepreneurship, innovation and sustainable development.
2) Sufficient knowledge in mathematics, science and engineering related to their branches; the ability to apply theoretical and practical knowledge in these areas to model and solve engineering problems.
3) The ability to identify, define, formulate and solve complex engineering problems; selecting and applying appropriate analysis and modeling methods for this purpose.
4) The ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; the ability to apply modern design methods for this purpose. (Realistic constraints and conditions include such issues as economy, environmental issues, sustainability, manufacturability, ethics, health, safety, social and political issues, according to the nature of design.)
5) Ability to develop, select and use modern techniques and tools necessary for engineering applications; ability to use information technologies effectively.
6) Ability to design experiments, conduct experiments, collect data, analyze and interpret results for the examination of engineering problems.
7) The ability to communicate effectively both verbally and in writing; at least one foreign language knowledge.
8) Knowledge of the necessity of lifelong learning; access to knowledge, ability to follow developments in science and technology, and constant self-renewal.
9) Professional and ethical responsibility.
10) Information on the effects of engineering applications on health, environment and safety in the universal and social dimensions and the problems of the times; awareness of the legal consequences of engineering solutions.
11) The ability to work effectively in disciplinary and multidisciplinary teams; individual work skill.

Course - Learning Outcome Relationship

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

	Program Outcomes	Level of Contribution
1)	Information on project management and practices in business life such as risk management and change management; awareness about entrepreneurship, innovation and sustainable development.
2)	Sufficient knowledge in mathematics, science and engineering related to their branches; the ability to apply theoretical and practical knowledge in these areas to model and solve engineering problems.
3)	The ability to identify, define, formulate and solve complex engineering problems; selecting and applying appropriate analysis and modeling methods for this purpose.
4)	The ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; the ability to apply modern design methods for this purpose. (Realistic constraints and conditions include such issues as economy, environmental issues, sustainability, manufacturability, ethics, health, safety, social and political issues, according to the nature of design.)
5)	Ability to develop, select and use modern techniques and tools necessary for engineering applications; ability to use information technologies effectively.
6)	Ability to design experiments, conduct experiments, collect data, analyze and interpret results for the examination of engineering problems.
7)	The ability to communicate effectively both verbally and in writing; at least one foreign language knowledge.
8)	Knowledge of the necessity of lifelong learning; access to knowledge, ability to follow developments in science and technology, and constant self-renewal.
9)	Professional and ethical responsibility.
10)	Information on the effects of engineering applications on health, environment and safety in the universal and social dimensions and the problems of the times; awareness of the legal consequences of engineering solutions.
11)	The ability to work effectively in disciplinary and multidisciplinary teams; individual work skill.

Learning Activity and Teaching Methods

Individual study and homework
Lesson
Problem Solving
Project preparation
Report Writing

Assessment & Grading Methods and Criteria

Application
Individual Project
Reporting
Tez Sunma

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Attendance	42	% 5
Final	1	% 95
total		% 100
PERCENTAGE OF SEMESTER WORK		% 5
PERCENTAGE OF FINAL WORK		% 95
total		% 100

Workload and ECTS Credit Grading

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	15	3	45
Laboratory	12	2	24
Application	12	3	36
Presentations / Seminar	2	2	4
Project	1	70	70
Preliminary Jury	1	1	1
Midterms	1	50	50
Paper Submission	1	20	20
Jury	1	2	2
Final	1	50	50
Total Workload			302