INTERNATIONAL BURCH UNIVERSITY
Graduate Study - Faculty of Economics and Social Sciences
(3+2) Management Master With Thesis
2014-2015

SYLLABUS
Code Name Level Year Semester
MAN 525 Statistics Graduate 1 Fall
Status Number of ECTS Credits Class Hours Per Week Total Hours Per Semester Language
Area Elective 6 3 150 English

Instructor Assistant Coordinator
Zafer KONAKLI, Assist. Prof. Dr. Zafer KONAKLI, Assist. Prof. Dr.
[email protected] no email

COURSE OBJECTIVE
To make some important statistical tests and evaluate the results.

COURSE CONTENT
Week
Topic
  1. Statistics and statistical research
  2. The definition of statistics, scientific approach to research
  3. Statistical institutions, collecting, processing and presentation of data
  4. Statistical institutions, collecting, processing and presentation of data
  5. Software for statistical analysis of data and models
  6. Software for statistical analysis of data and models
  7. The analysis of empirical frequency distribution
  8. Measures of central tendencies and dispersion
  9. Regression and correlation analysis
  10. Simple linear regression, a simple curvilinear regression, multiple regressions, method of least squares
  11. Simple linear regression, a simple curvilinear regression, multiple regressions, method of least squares
  12. Likelihood and distribution of probability theory
  13. Determination of confidence interval
  14. Testing hypotheses
  15. Testing hypotheses

LABORATORY/PRACTICE PLAN
Week
Topic

    TEACHING/ASSESSMENT
    Description
    • Lectures
    • Practical Sessions
    • Excersises
    • Presentation
    • Excurtion
    • Self Evaluation
    • Project
    • Assignments
    • Case Studies
    Description (%)
    Method Quantity Percentage (%)
    Project140
    Midterm Exam(s)120
    Final Exam140
    Total: 100
    Learning outcomes
      TEXTBOOK(S)
      • Handbook of Univariate and Multivariate Data Analysis with IBM SPSS , 2nd edition(2013), Ho, R., CRC Press , ISBN-13: 978-1-4398-9022-6

      ECTS (Allocated based on student) WORKLOAD
      Activities Quantity Duration (Hour) Total Work Load
      Lecture (14 weeks x Lecture hours per week)14342
      Laboratory / Practice (14 weeks x Laboratory/Practice hours per week) 0
      Midterm Examination (1 week)122
      Final Examination(1 week)122
      Preparation for Midterm Examination11414
      Preparation for Final Examination11515
      Assignment / Homework/ Project13030
      Seminar / Presentation14545
      Total Workload: 150
      ECTS Credit (Total workload/25): 6