INTERNATIONAL BURCH UNIVERSITY
Faculty of Economics and Social Sciences
Department of Management
2012-2013

SYLLABUS
Code Name Level Year Semester
BUS 201 Statistics I Undergraduate 2 Fall
Status Number of ECTS Credits Class Hours Per Week Total Hours Per Semester Language
5 128 English

Instructor Assistant Coordinator
Zafer KONAKLI, Assist. Prof. Dr. U─čur ERGUN, Assoc. Prof. Dr.
[email protected] no email

COURSE OBJECTIVE
This is an introductory course to statistics. The aim of the course is to give the necessary tools to analyze data, descriptive statistics and parameter estimation methods to create a background for the future studies.

COURSE CONTENT
Week
Topic
  1. Introduction to statistics; Data collection
  2. Presenting Data in Tables and Charts
  3. Presenting Data in Tables and Charts Graphs (cont.)
  4. Descriptive measures
  5. Applications and case studies
  6. Random variables; Mean and variance
  7. Random variables
  8. Basic probability and discrete probability distributions
  9. Mid-term
  10. Normal distribution and other continuous distributions
  11. Parameter estimation techniques
  12. Parameter estimation techniques
  13. Computer applications
  14. Introduction to sampling distributions

LABORATORY/PRACTICE PLAN
Week
Topic

    TEACHING/ASSESSMENT
    Description
    • Lectures
    • Practical Sessions
    • Excersises
    • Presentation
    • Self Evaluation
    • Project
    • Assignments
    • Case Studies
    • Recitation
    Description (%)
    Method Quantity Percentage (%)
    Homework615
    Midterm Exam(s)345
    Final Exam140
    Total: 100
    Learning outcomes
    • Students will be able to collect data and present them.
    • Students will be able to know descriptive measures of statistics mean, median, and variance.
    • Students willl be able to to use binomial, poisson and normal distributions.
    • Students will be able to use the computer for statistical calculations.
    • Student will be able to defien the sampling distributions.
    TEXTBOOK(S)
    • Even You Can Learn Statistics: A Guide for Everyone Who Has Ever Been Afraid of Statistics, Second Edition, David M. Levine,David F. Stephan, ISBN-10: 0-13-701059-1,FT Press, 2009

    ECTS (Allocated based on student) WORKLOAD
    Activities Quantity Duration (Hour) Total Work Load
    Lecture (14 weeks x Lecture hours per week)41664
    Laboratory / Practice (14 weeks x Laboratory/Practice hours per week)16116
    Midterm Examination (1 week)21224
    Final Examination(1 week)11616
    Preparation for Midterm Examination188
    Preparation for Final Examination 0
    Total Workload: 128
    ECTS Credit (Total workload/25): 5