Mathematics (English) Preview
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

Course Introduction and Application Information

Course Code:

UNI083

Course Name:

Research Methods in English Literature

Semester:

Spring
Fall

Course Credits:

ECTS

Language of instruction:

English

Course Condition:

Does the Course Require Work Experience?:

Type of course:

University Elective

Course Level:

Bachelor

TR-NQF-HE:6. Master`s Degree

QF-EHEA:First Cycle

EQF-LLL:6. Master`s Degree

Mode of Delivery:

Face to face

Course Coordinator:

Araş. Gör. BURAK ASLAN

Course Lecturer(s):

Course Assistants:

Course Objective and Content

Course Objectives:	This course aims to familiarize students with the definition of research, research methods, research question, hypothesis building, data collection and data analysis, data evaluation, interpretation and reporting, sample theses, source scanning methods, sample research
Course Content:	Definition of research, research methods, research question, hypothesis building, data collection and data analysis, data evaluation, interpretation and reporting, sample theses, source scanning methods, sample research

Learning Outcomes

The students who have succeeded in this course;
1) To be able to recognize the main research tools, techniques and approaches
2) To be able to choose the best tools, techniques and approaches for conducting effective research and obtaining productive results.
3) To be able to organize research according to stages, stages and steps in order to conduct research more efficiently
4) Will be familiar with the basic elements of academic research reports and be able to create clear, well-organized and in-depth analytical reports of their research

Course Flow Plan

Week	Subject	Related Preparation
1)	INTRODUCTION
2)	How do we know what we know?
3)	Qualitative Methods
4)	Objectivity and Realism
5)	Digital Methods
6)	Annotated Bibliography: What and How
7)	MIDTERM ASSIGNMENT (Research question and annotated bibliography due)
8)	How to do Interviews
9)	Ethnography
10)	Literature Reviews: How to and Why
11)	Quantitative Methods
12)	Surveys: How To
13)	Descriptive Statistics and Graphs
14)	Ethics + Other Methods

Sources

Course Notes / Textbooks:	• Nachmias, David. Research Methods in the Social Sciences. Worth Publishers, Inc; 6th Edition 2000 edition (2000).
References:

Course - Program Learning Outcome Relationship

Course Learning Outcomes	1	2	3	4
Program Outcomes
1) Have the knowledge of the scope, history, applications, problems, methods of mathematics and knowledge that will be beneficial to humanity as both scientific and intellectual discipline.
2) Have the ability to establish a relationship between mathematics and other disciplines and develop mathematical models for interdisciplinary problems.
3) Have the ability to define, formulate and analyze real life problems with statistical and mathematical techniques.
4) Have the ability to think analytically and use the time effectively in the process of deduction.
5) Have the ability to search the literature, understand and interpret scientific articles.
6) Have the knowledge of basic software to be able to work in the related fields of computer science and have the ability to use information technologies at an advanced level of the European Computer Driving License.
7) Have the ability to work efficiently in interdisciplinary teams.
8) Have the ability to communicate effectively in oral and written form, write effective reports and comprehend the written reports, make effective presentations.
9) Have the consciousness of professional and ethical responsibility and acting ethically; have the knowledge about academic standards.
10) Have the ability to use a foreign language at least at B1 level in terms of European Language Portfolio criteria.
11) Are aware of the necessity of lifelong learning; have the ability to access information, to follow developments in science and technology and to constantly renew themselves.

Course - Learning Outcome Relationship

No Effect	1 Lowest	2 Average	3 Highest

	Program Outcomes	Level of Contribution
1)	Have the knowledge of the scope, history, applications, problems, methods of mathematics and knowledge that will be beneficial to humanity as both scientific and intellectual discipline.
2)	Have the ability to establish a relationship between mathematics and other disciplines and develop mathematical models for interdisciplinary problems.
3)	Have the ability to define, formulate and analyze real life problems with statistical and mathematical techniques.
4)	Have the ability to think analytically and use the time effectively in the process of deduction.
5)	Have the ability to search the literature, understand and interpret scientific articles.
6)	Have the knowledge of basic software to be able to work in the related fields of computer science and have the ability to use information technologies at an advanced level of the European Computer Driving License.
7)	Have the ability to work efficiently in interdisciplinary teams.
8)	Have the ability to communicate effectively in oral and written form, write effective reports and comprehend the written reports, make effective presentations.
9)	Have the consciousness of professional and ethical responsibility and acting ethically; have the knowledge about academic standards.
10)	Have the ability to use a foreign language at least at B1 level in terms of European Language Portfolio criteria.
11)	Are aware of the necessity of lifelong learning; have the ability to access information, to follow developments in science and technology and to constantly renew themselves.

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Midterms	1	% 50
Final	1	% 50
total		% 100
PERCENTAGE OF SEMESTER WORK		% 50
PERCENTAGE OF FINAL WORK		% 50
total		% 100

Workload and ECTS Credit Calculation

Activities	Number of Activities	Preparation for the Activity	Spent for the Activity Itself	Completing the Activity Requirements	Workload
Course Hours	14	0	3		42
Study Hours Out of Class	16	0	5		80
Midterms	1	0	2		2
Final	1	0	2		2
Total Workload					126