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
POL6001	Advanced Research Methods	Spring	3	0	3	9

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 :	Assoc. Prof. ESRA ALBAYRAKOĞLU
Course Lecturer(s):	Prof. Dr. YILMAZ ESMER
Recommended Optional Program Components:	none
Course Objectives:	The course will attempt to answer the questions on the neutrality and the difficulties of research. Attempting to answer those questions and the various issues underlying them is the primary objective of the course. This will be achieved through combining a theoretical and practical approach to the study of qualitative methodology. The second objective of the course is to explore both the “hows” or research and, at the same time, examine the underlying assumptions and values of qualitative research practices. The third and overarching objective of this course is to examine not only how one goes about “doing” those aspects of one’s work but also delve into a variety of ethical, epistemological, ontological and methodological issues, as well as improving critical thinking and increasing methodological knowledge inherent in that “doing.”

Learning Outcomes

The students who have succeeded in this course;
Increased awareness of ethnographic work, including conceptualizing a study, observations, interviewing, analysis, and textualization.
 To learn to attend to the politics of what we do and do not do (as researchers).
 Increase critical thinking skills. Demonstrate this by seriously considering multiple viewpoints and perspectives in class discussions, in-class writing, group work, and the
final paper.
 Apply course material to your own research. Demonstrate this through participation in in-class discussions and activities, and in applying course concepts to class assignments.
 Become active in the process of seeking, analyzing, and synthesizing information.

Course Content

In the last two decades, emerging theories in qualitative research have drawn attention to the complexities inherent in research.
In light of these theories, research can no longer be regarded unproblematic, objective, or value free, where data is neutrally and naturally collected, interpreted and textualized by disinterested researchers. Rather, research methodology has become a problematized and contested terrain depicting a double crisis of representation and legitimation. What is (and why) this double crisis? And what implications might it have for the field of qualitative research and for the researcher working (in) that field?

Weekly Detailed Course Contents

Week	Subject	Related Preparation
1)	An Introduction to Inquiry	Academic Articles and related books
2)	Measurement of Abstract Concepts	Academic Articles and related books
3)	Measurement of Abstract Concepts	Academic Articles and related books
4)	Observation, Sampling	Academic Articles and related books
5)	Observation, Sampling	Academic Articles and related books
6)	Observation, Sampling	Academic Articles and related books
7)	Quantitative Design and Analysis	Academic Articles and related books
8)	Quantitative Design and Analysis	Academic Articles and related books
9)	Quantitative Design and Analysis	Academic Articles and related books
10)	Qualitative Design and Analysis	Academic Articles and related books
11)	Qualitative Design and Analysis	Academic Articles and related books
12)	Qualitative Design and Analysis	Academic Articles and related books
13)	Review of the course	Academic Articles and related books
14)	Review of the course	Academic Articles and related books

Sources

Course Notes / Textbooks:	Van Maanen, John. 1899. Tales of the Field: On Writing Ethnography. Chicago: University of Chicago Press. Becker, Howard. 1998. Tricks of the Trade. How to Think About Your Research While Doing It. Chicago: University of Chicago Press.
References:	Mark M. Lanier (Editor), Catherine A. Ford (Editor), Jonathan C. Reid (Editor). 2013, Advanced Research Methods for the Social Sciences. San Diego: Cognella Academic Publishing

Evaluation System

Semester Requirements	Number of Activities	Level of Contribution
Attendance	14	% 20
Homework Assignments	5	% 30
Final	1	% 50
Total		% 100
PERCENTAGE OF SEMESTER WORK		% 50
PERCENTAGE OF FINAL WORK		% 50
Total		% 100

ECTS / Workload Table

Activities	Number of Activities	Workload
Course Hours	14	42
Application	14	56
Study Hours Out of Class	14	98
Paper Submission	1	1
Final	1	3
Total Workload		200

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.