Information Package
baskent.edu.tr

Program of Business Administration (English)

BUS252

QUANTITATIVE BUSINESS ANALYSIS

Course Code
BUS252
Semester
Fourth Term (Spring)
Theory+Practice
3 + 0
ECTS
7
Course TypeCompulsory Course
Course LevelBachelor's Degree
Year of Study2
SemesterFourth Term (Spring)
ECTS7
Name of Lecturer(s)
Learning Outcomes

At the end of this course, the students;

  1. Have the infrastructure to distinguish and formulate the most suitable model for a certain decision situation.
  2. Recognize solution methods and special software that can be used to solve models.
  3. Gain the ability to analyze and interpret the results obtained in order to be able to suggest appropriate action styles in the face of various problems.
  4. Acquire analytical approach to different decision situations and interpretation of results obtained using various quantitative techniques
  5. Learn the applications of Management Science through case studies for real business problems, including a global perspective.
  6. Develop analytical skills for structuring and analyzing business decision problems that represent the field of Management Science.
Mode of DeliveryFace to face
PrerequisitesNo
Recommended Optional Programme ComponentsNo
Course DescriptionIn this course, the emergence of Science in Management, the scope, and importance of the field of management quantitative decision techniques and applications will be covered. Linear Programming Models will be introduced and solution techniques, sensitivity analysis will be discussed. In addition, the special types of linear programming: Assignment, Transportation and Integer Programming models, Decision Theory, Network Models, Project Planning Techniques (PERT / CPM) and the waiting line models and simulation will be examined. Students who miss more than 30% of total class hours receive an F2 grade.
Course Contents
WEEK TOPICS
1st Week Linear Programming: Model Formulation
2nd Week Linear Programming: Graphical Solution
3rd Week Linear Programming:Sensitivity Analysis of Objective Function Values
4th Week Linear Programming Computer Applications
5th Week Transportation Problem
6th Week Assignment Problem
7th Week Midterm
8th Week Integer Linear Programming
9th Week Decision Analysis
10th Week Network Modeling
11th Week Project Management
12th Week Queueing Modeling
13th Week Simulation
14th Week Computer Applications of Queueing Theory and Simulation
Recommended or Required ReadingBalakrishnan, N., B. Render, and R. M. Stair Jr. 2007. Managerial Decision Modeling with Spreadsheets. Upper Saddle River, New Jersey: Prentice-Hall, Incorporated. ISBN: 013226806X.

Additional Resources:
Taylor, Bernard W. 2001. Introduction to Management Science 7th Ed., Prentice Hall.
Hillier, F.S., Lieberman, G.J. 1995. Introduction to Operations Research 6th Ed., McGraw-Hill.
Acar, A. 1998. Linear Programming For Managerial Decisions 3rd Ed., METU.
Anderson, D. R., D. J. Sweeney ve T. W. Williams. 2000. In Introduction to Management Science: Quantitative Approaches to Decision Making. South Western Collage Publishing.
Taha, Hamdy, A. 1997. Operations Research, An Introduction 6th Ed. Prentice-Hall.
Winston, W. L. 1994. Operations Research: Applications and Algorithms 3rd Ed. Duxbury Press.
Lawrence, Jr. J.A and B.A Posternock, 1998. Applied Management Science A Computer Integrated Approach for Decision Making, John Wiley and Sons, New York.
Planned Learning Activities and Teaching Methods
  • Questions/Answers
  • Discussion
  • Lecture
  • Problem Solving
Assessment Methods and Criteria
Quantity Percentage (%)
Mid-term 1 40
Quiz 1 10
Total(%) 50
Contribution of In-term Studies to Overall Grade(%) 50
Contribution of Final Examination to Overall Grade(%) 50
Total(%) 100
ECTS Allocated Based on Student Workload
Activities Quantity Duration (Hour) Total Workload (Hour)
Midterm exam 1 4 4
Preparation for Quiz
Individual or group work 14 6 84
Preparation for Final exam 1 40 40
Course hours 14 3 42
Preparation for Midterm exam 1 35 35
Laboratory (including preparation)
Final exam 1 4 4
Homework
Total Work Load209
Total Work Load / 30 (h)6.96
ECTS Credit of the Course7
Language of InstructionEnglish
Work Placement(s)No

Programme Qualifications / Learning Outcomes

LO1 LO2 LO3 LO4 LO5 LO6
K1 X
K2 X
K3 X X
K4 X
K5 X
K6
K7
K8
K9
K10
K11
K12
K13