Information Package
baskent.edu.tr

Program of Business Administration (Turkish)

MAN225

QUANTITATIVE BUSINESS ANALYSIS

Course Code
MAN225
Semester
Third Term (Fall)
Theory+Practice
3 + 0
ECTS
5
Course TypeCompulsory Course
Course LevelBachelor's Degree
Year of Study2
SemesterThird Term (Fall)
ECTS5
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. Acquire an analytical approach to different decision situations and interpretation of results obtained using various quantitative techniques.
  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 ComponentsMAN358
Course DescriptionThe emergence and scope of Management Science, the importance of numerical decision techniques in the field of business administration, and their usage areas will be emphasized. Linear programming models will be introduced, formulation, solution techniques, sensitivity analysis will be examined. Then, Assignment, Transportation and Integer Programming models, which are special types of linear programming; Decision Theory; Network Models; Project Planning Techniques (PERT/CPM) and Waiting Line models and Simulation will be covered. Students taking this course should be able to decide which numerical method is suitable for obtaining the optimal solution to a certain business problem, use the appropriate technique, and interpret the solution they have obtained. In order to equip students with this equipment, a large number of decision problems related to different functions of the enterprise will be studied. 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.
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.
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
  • Problem Solving
  • Lecture
Assessment Methods and Criteria
Quantity Percentage (%)
Mid-term 1 30
Quiz 1 25
Total(%) 55
Contribution of In-term Studies to Overall Grade(%) 55
Contribution of Final Examination to Overall Grade(%) 45
Total(%) 100
ECTS Allocated Based on Student Workload
Activities Quantity Duration (Hour) Total Workload (Hour)
Midterm exam 14 3 42
Preparation for Quiz 1 3 3
Individual or group work 1 3 3
Preparation for Final exam 1 4 4
Course hours 14 3 42
Preparation for Midterm exam 1 25 25
Laboratory (including preparation)
Final exam 1 30 30
Homework
Total Work Load149
Total Work Load / 30 (h)4.96
ECTS Credit of the Course5
Language of InstructionTurkish
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