INTERNATIONAL BURCH UNIVERSITY
Faculty of Economics and Social Sciences
Department of Management
2013-2014

SYLLABUS
Code Name Level Year Semester
BUS 224 Quantitative Methods in Business Undergraduate 2 Spring
Status Number of ECTS Credits Class Hours Per Week Total Hours Per Semester Language
5 30 English

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

COURSE OBJECTIVE
As an introductory course to operations research, this course aims to give the students the knowledge about modeling and solving linear programming problems, applying sensitivity analysis and economic interpretation of the results.

COURSE CONTENT
Week
Topic
  1. Linear Programming Models
  2. Graphical Solution
  3. Minimization problems
  4. Linear Programming Modeling applications
  5. Simplex Method
  6. Maximization/Minimization Problems, Surplus and Artificial Variables
  7. MIDTERM
  8. Duality
  9. Transportation Model
  10. Assignment Model
  11. Integer Programming, Goal Programming
  12. Network Models
  13. Minimal-Spanning Tree, Maximal-Flow , Shortest Route Technique
  14. Project Management , PERT/CPM

LABORATORY/PRACTICE PLAN
Week
Topic

    TEACHING/ASSESSMENT
    Description
    • Lectures
    • Presentation
    • Project
    • Case Studies
    Description (%)
    Method Quantity Percentage (%)
    Quiz20
    Homework410
    Midterm Exam(s)130
    Final Exam140
    Total: 100
    Learning outcomes
      TEXTBOOK(S)
      • 1- Render, B., Stair, M.R., Hanna, E.M.(2009), Quantitative Analysis for Management, 10th Edition, Prentice-Hall, Inc.
      • 2- Frederick S. Hillier, Gerald J. Lieberman (2001), Introduction to Operations Research, 7th Edition, McGraw-Hill.
      • 3- Taha, H. A. (2007), Operations Research: An Introduction, 8th Edition, Prentice-Hall, Inc.
      • 4- Anderson, R.D., Sweeney, J.D., Williams, A.T., Martin, K.(2008), Quantitative Methods for Business, Thomson Higher Education.

      ECTS (Allocated based on student) WORKLOAD
      Activities Quantity Duration (Hour) Total Work Load
      Lecture (14 weeks x Lecture hours per week)428
      Laboratory / Practice (14 weeks x Laboratory/Practice hours per week)14114
      Midterm Examination (1 week)144
      Final Examination(1 week)144
      Preparation for Midterm Examination 0
      Preparation for Final Examination 0
      Total Workload: 30
      ECTS Credit (Total workload/25): 1