In this course the student will learn how to identify the data structures used in management, sales, marketing, production management, finance, and accounting, how to collect data from primary sources, hot to organize the collected data, how to describe, and how to analyse them according to the aim of the reaearch. at the end of the course the students will be able to analyse the problems which could arise in any business analytical, to offer the needed solutions, to forecast the future of the business and to determine the causality relatios in the businesses. Besides they will be able to use SPSS, MPlus and Eviews.
Prerequisite(s)
.
Corequisite(s)
.
Special Requisite(s)
None
Instructor(s)
Assist. Prof. Dr. Burçin Ataseven
Course Assistant(s)
Schedule
Tuesday, 18:00-21:00 (Ataköy, 4B 07091113)
Office Hour(s)
Ataköy, Tuesday, 18.00-21.00 4B 07091113)
Teaching Methods and Techniques
-Lectures, application sampling.
Principle Sources
· Maxwell, S. E., & Delaney, H. D. (2004). Designing experiments and analyzing data: A model comparison perspective (2nd ed.). Mahwah, NJ, US: Lawrence Erlbaum Associates Publishers.
· Fernandes, Marcelo. (2009). Statistics for Business and Economics.
· Statistics for Business & Economics, Revised 13th Edition by David R. Anderson; Dennis J. Sweeney; Thomas A. Williams and Publisher Cengage Learning.
· SPSS, Eviews, Mplus.
Other Sources
-
Course Schedules
Week
Contents
Learning Methods
1. Week
The definitons of research and data analyses. The selection of suitable technique to analyse the data
Lecture
2. Week
Descriptive statistics
Lecture
3. Week
Hypothesis Testing, parametric techniques
Lecture
4. Week
Hypothesis Testing, parametric techniques
Lecture
5. Week
Nonparametric techniques
Lecture
6. Week
Relationship analysis
Lecture
7. Week
Relationship analysis
Lecture
8. Week
Midterm
Exam
9. Week
Multivariate analysis techniques
Lecture
10. Week
Multivariate analysis techniques
Lecture
11. Week
SPSS Applications
Application
12. Week
SPSS Applications
Application
13. Week
Eviews Applications
Application
14. Week
Mplus Applications
Application
15. Week
Final Exams
Exam
16. Week
17. Week
Assessments
Evaluation tools
Quantity
Weight(%)
Midterm(s)
1
40
Final Exam
1
60
Program Outcomes
PO-1
A student who successfully completes the program will be able
To expand and deepen his/her international economics and finance knowledge at the level of expertise with the undergraduate qualifications he/she has acquired and to follow current issues.
PO-2
To use the knowledge gained in the field theoretically and practically.
PO-3
To evaluate information regarding the fields of International Economics and Finance from a critical perspective and to work independently in these fields.
PO-4
To understand the interaction between different disciplines related to the fields of International Economics and Finance, to make connections and to use them in academic studies.
PO-5
To have sufficient social responsibility and awareness about social needs, to have the experience and ability to organize activities that can affect social dynamics.
PO-6
To gain model development, technical analysis and policy making skills in the field of economics and finance.
PO-7
To independently comprehend and evaluate any event or problem in his/her field and produce solutions to the problems that arise.
PO-8
To evaluate the problems related to the field analytically and to suggest economic and financial policies suitable for solving the problems.
PO-9
To have the ability to adapt the theoretical knowledge acquired to working life.
PO-10
To develop original approaches and to take responsibility in extraordinary situations encountered in his/her field.
PO-11
To act in accordance with social, rational, scientific and ethical values during the collection, interpretation and announcement of data related to the field of International Economics and Finance and to carry out the thesis within the framework of these principles.
Learning Outcomes
LO-1
The students will be able to collect the data, to prepare the data to be analysed, and to analyze the data by using statistical programs.
LO-2
The students will be able to use statistical techniques to visualize and analyze the data
LO-3
The students will be able to use statisticak and quantitative techniques to provide information from the data and to forecast
LO-4
The students will gain knowledge about contemporary, theoretical and practical informations in the field of statistics.
LO-5
The students will be able to analyze the contemporary problems with statistical techniques.
