COURSE INFORMATION Course Title: ADVANCED RESEARCH METHODS

Code	Course Type	Regular Semester	Theory	Practice	Lab	Credits	ECTS
ECO 801	C	1	3	0	0	3	10

Academic staff member responsible for the design of the course syllabus (name, surname, academic title/scientific degree, email address and signature)	NA
Lecturer (name, surname, academic title/scientific degree, email address and signature) and Office Hours:	Naqeeb Ur Rehman , Monday 11.00 - 14.00 Tuesday 11.00 - 14.00
Second Lecturer(s) (name, surname, academic title/scientific degree, email address and signature) and Office Hours:	NA
Teaching Assistant(s) and Office Hours:	NA
Language:	English
Compulsory/Elective:	Compulsory
Classroom and Meeting Time:	Friday 9.00 - 12.00
Course Description:	The course includes: - Theory, logic, and practice of fieldwork, specific methodological & ethical issues associated with studying people at first-hand, and current developments about research methodologies. the framing of research questions; the selection of appropriate research methods and designs; the selection of appropriate statistics for data analysis; the principles of analysis; interpretation of findings; and the presentation of results.
Course Objectives:	The purpose of this course is to introduce students with advanced research methodology concepts in social sciences. Concepts such as construct development, model construction and testing will be covered during the course.

COURSE OUTLINE

Week	Topics
1	Quantitative methods
2	model building
3	survey design
4	sample size
5	causal inference
6	observation methods
7	estimation
8	Mid Term
9	robust standard error
10	using STATA
11	Running regression
12	Intrepretation
13	Paper presentation
14	paper presentation

Prerequisite(s):	BUS 501 Research Methods in Business BUS 201 Statistics 1 BUS 202 Statistics 2
Textbook:	Little T. D. (2013). Oxford Handbook of Quantitative Methods. Oxford University Press: Oxford, UK.
Other References:
Laboratory Work:
Computer Usage:	SPSS;AMOS; MS Office Programs
Others:	No

COURSE LEARNING OUTCOMES

1	Writing paper
2	To understand the critical review of the literature
3	Data analysis
4	Regression analysis in STATA

COURSE CONTRIBUTION TO... PROGRAM COMPETENCIES (Blank : no contribution, 1: least contribution ... 5: highest contribution)

No	Program Competencies	Cont.
Doctorate (PhD) in Economics: Banking and Finance profile Program
1	The students are gained the ability to look at the problems of daily life from a broader perspective. They gain the needed skills not only to understand economic problems but also to construct a model and defend in meaningful way.	5
2	To comprehend the interaction between economics and related fields; to achieve original results by using expert knowledge in analysis, synthesis and evaluation of new and complex ideas.	5
3	To be able to obtain new knowledge in economics systematically and to acquire high level skills in research methods in economics.	5
4	To be able to develop new methods that make a contribution to science or to be able to apply existing techniques to an original research idea.	5
5	They have ability to use mathematical and statistical methods in international economics.	5
6	They know how to use computer programs in both daily office usage and statistical data evaluations in economics department.	5
7	They have necessary economics skills that needed in private and public sector.	5
8	They are intended to be specialist in one of departmental fields that they choose from the list of general economics, finance economics, public finance, corporate finance, finance management, international finance markets and institutions, banking and central banking, international finance and banking, money and banking, international trade and banking.	5
9	They have ability to utilize fundamental economic theories and tools to solve economic problems in international level.	5
10	They are aware of the fact that international economics is a social science and they respect the social perspectives and social values of the society’s ethics.	5

COURSE EVALUATION METHOD

Method	Quantity	Percentage
Project	1	30
Quiz	1	30
Final Exam	1	40
	Total Percent:	100%

ECTS (ALLOCATED BASED ON STUDENT WORKLOAD)

Activities	Quantity	Duration(Hours)	Total Workload(Hours)
Course Duration (Including the exam week: 16x Total course hours)	14	3	42
Hours for off-the-classroom study (Pre-study, practice)	14	10	140
Mid-terms	1	20	20
Assignments	1	28	28
Final examination	1	20	20
Other			0
Total Work Load:			250
Total Work Load/25(h):			10
ECTS Credit of the Course:			10