INTERNATIONAL BURCH UNIVERSITY
Graduate Study  Faculty of Economics and Social Sciences
Management PhD
20142015
SYLLABUS 
Code 
Name 
Level 
Year 
Semester 
MAN 630 
Quantitative Research Methods 
Graduate 
1 
Fall 
Status 
Number of ECTS Credits 
Class Hours Per Week 
Total Hours Per Semester 
Language 
Compulsory 
6 
3 
142 
English 
Instructor 
Assistant 
Coordinator 
Ali GÖKSU, Assoc. Prof. Dr. 

Ali GÖKSU, Assoc. Prof. Dr. 
ali.goksu@ibu.edu.ba 
ali.goksu@ibu.edu.ba 
no email 
COURSE OBJECTIVE 
This course is designed to provide an introduction to statistical methods useful for analyzing data, with specific application to problems of business and economics. The methods examined, however, have general application to a wide range of data analysis. At the end of the class, you will:
(1) understand the fundamentals of uncertainty and risk management,
(2) know how to use methods for estimation and forecasting,
(3) be able combine knowledge of risk and estimation in optimization, and
(4) know how to use the tools of statistical inference.
You will also be expected to learn how to use statistics to think critically about real world issues. Statistical methodology and theory will be presented in an applications context. Ultimately, the goal is to provide you with quantitative tools that can be used in the areas of marketing, financial and managerial accounting, corporate finance, and applied operational methods. 
COURSE CONTENT 
 Introduction, Organizing and Visualizing Data
 Numerical Descriptive Measures
 Basic Probability, Discrete Probability Distributions
 The Normal Distribution and Other Continuous Distributions
 Sampling and Sampling Distributions
 Confidence Interval Estimation
 Fundamentals of Hypothesis Testing: OneSample Tests
 TwoSample Tests
 Analysis of Variance
 ChiSquare Tests and Nonparametric Tests
 Simple Linear Regression
 Multiple Regression
 TimeSeries Forecasting
 Statistical Applications in Quality Management
 A Roadmap for Analyzing Data

Description 
 Lectures
 Practical Sessions
 Excersises
 Presentation
 Seminar
 Self Evaluation
 Project
 Assignments
 Case Studies

Description (%) 
Homework   10  Project   15  Presentation   15  Term Paper   20  Final Exam  1  40 

Learning outcomes 
 To achieve an understanding of applied statistical and other quantitative methods in the solution of managerial decision making problems.
 To provide enough illustrations of wellknown models, so that a student can identify similar situations that may utilize quantitative methods.
 To develop a basic proficiency in working with the more frequent decision making models.
 To learn the mathematical language and notation, in order to facilitate communication with specialists.
 To develop sufficient quantitative preparation for appreciating work done in this area.

TEXTBOOK(S) 
 Basic Business Statistics: Concepts and Applications, 12th edition (2012), David Levine, Mark Berenson, and Tim Krehbiel, ISBN 10: 0132168383, ISBN 13: 9780132168380 Prentice Hall.

ECTS (Allocated based on student) WORKLOAD 
Lecture (14 weeks x Lecture hours per week)  14  3  42  Laboratory / Practice (14 weeks x Laboratory/Practice hours per week)    0  Midterm Examination (1 week)  1  3  3  Final Examination(1 week)  1  3  3  Preparation for Midterm Examination  1  12  12  Preparation for Final Examination  1  17  17  Assignment / Homework/ Project  10  5  50  Seminar / Presentation  1  15  15 
