M.SC. in Computer Engineering (With Thesis)

GS 599 | Course Introduction and Application Information

Course Name

Master Thesis

Code	Semester	Theory (hour/week)	Application/Lab (hour/week)	Local Credits	ECTS
GS 599	Fall	0	0	0	30

Prerequisites	None
Course Language	English
Course Type	Required
Course Level	Second Cycle
Mode of Delivery	-
Teaching Methods and Techniques of the Course	-
National Occupation Classification	-
Course Coordinator	-
Course Lecturer(s)	-
Assistant(s)	-

Course Objectives

The aim of this course is to make the student conduct a research supervised by a thesis advisor from the beginning to the very end starting from the statement of a research question to data collection and analysis, using technical, theoretical and applied knowledge and skills obtained from the program courses and write a thesis from this research, as well as equip the student with skills and competencies required as a postgraduate applicant and researcher.

Learning Outcomes

The students who succeeded in this course;

will be able to possess in depth and comprehensive knowledge in the area in which thesis studies is conducted.
will be able to independently formulate an original research question and specify how it can be studied.
will be able to independently pursue studies in a selected field.
will be able to effectively communicate (oral and written) a research and research results.
will be able to obtain the competence to use required methods for studying a research problem.
will be able to critically and scientifically evaluate reviewed research, detect its limitations and what can be done to overcome these limitations.
will be able to analyze, grasp, integrate and make the synthesis of different theoretical perspectives in explaining a specific scientific problem.

Course Description

This course is designed to independently conduct a research and acquire the necessary competencies. Accordingly, a proper research question is identified under the guidance of an advisor, an extensive literature review is made, and a unique hypothesis and research design are determined by taking into consideration the methodologies and gaps in the literature. Within the framework of the research design, the relevant data is collected and a thesis including the theoretical basis, method, results and discussion of the research is written.

Course Category	Core Courses
	Major Area Courses
	Supportive Courses
	Media and Management Skills Courses
	Transferable Skill Courses

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week	Subjects	Related Preparation	Learning Outcome
1	Meeting with advisor
2	Independent study
3	Independent study
4	Meeting with advisor
5	Independent study
6	Independent study
7	Independent study
8	Meeting with advisor
9	Independent study
10	Independent study
11	Independent study
12	Meeting with advisor
13	Independent study
14	Independent study
15	Meeting with advisor
16	Review of the semester

Course Notes/Textbooks
Suggested Readings/Materials

EVALUATION SYSTEM

Semester Activities	Number	Weigthing
Participation
Laboratory / Application
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
Presentation / Jury
Project	1	100
Seminar / Workshop
Oral Exams
Midterm
Final Exam
Total

Weighting of Semester Activities on the Final Grade
Weighting of End-of-Semester Activities on the Final Grade
Total

ECTS / WORKLOAD TABLE

Semester Activities	Number	Duration (Hours)	Workload
Theoretical Course Hours (Including exam week: 16 x total hours)	16		0
Laboratory / Application Hours (Including exam week: '.16.' x total hours)	16		0
Study Hours Out of Class			0
Field Work			0
Quizzes / Studio Critiques			0
Portfolio			0
Homework / Assignments			0
Presentation / Jury			0
Project	1	900	900
Seminar / Workshop			0
Oral Exam			0
Midterms			0
Final Exam			0
		Total	900

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#	PC Sub	Program Competencies/Outcomes	* Contribution Level
#	PC Sub	Program Competencies/Outcomes	1	2	3	4	5
1	Accesses information in breadth and depth by conducting scientific research in Computer Engineering; evaluates, interprets and applies information.		-	-	-	-	-
2	Is well-informed about contemporary techniques and methods used in Computer Engineering and their limitations.		-	-	-	-	-
3	Uses scientific methods to complete and apply information from uncertain, limited or incomplete data; can combine and use information from different disciplines.		-	-	-	-	-
4	Is informed about new and upcoming applications in the field and learns them whenever necessary.		-	-	-	-	-
5	Defines and formulates problems related to Computer Engineering, develops methods to solve them and uses progressive methods in solutions.		-	-	-	-	-
6	Develops novel and/or original methods, designs complex systems or processes and develops progressive/alternative solutions in designs		-	-	-	-	-
7	Designs and implements studies based on theory, experiments and modelling; analyses and resolves the complex problems that arise in this process.		-	-	-	-	-
8	Can work effectively in interdisciplinary teams as well as teams of the same discipline, can lead such teams and can develop approaches for resolving complex situations; can work independently and takes responsibility.		-	-	-	-	-
9	Engages in written and oral communication at least in Level B2 of the European Language Portfolio Global Scale.		-	-	-	-	-
10	Communicates the process and the results of his/her studies in national and international venues systematically, clearly and in written or oral form.		-	-	-	-	-
11	Is knowledgeable about the social, environmental, health, security and law implications of Computer Engineering applications, knows their project management and business applications, and is aware of their limitations in Computer Engineering applications.		-	-	-	-	-
12	Highly regards scientific and ethical values in data collection, interpretation, communication and in every professional activity.		-	-	-	-	-

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest

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