Information Package
baskent.edu.tr

Master's of Business Administration without Thesis (Distance Education)

BUSU572

QUANTITATIVE METHODS

Course Code
BUSU572
Semester
-
Theory+Practice
3 + 0
ECTS
8
Course TypeElective Course
Course LevelMaster's Degree Without Thesis
Year of Study-
Semester-
ECTS8
Name of Lecturer(s) -
Learning Outcomes

At the end of this course, the students;

  1. Understand usefulness and limitation of selected Management Science techniques tofind solutions to analytical models.
  2. Use selected software to generate computer solutions of the models.
  3. Learn, through case studies, the applications of Management Science to findsolutions to real life business problems including those in global environment.
  4. Learn not to confuse algorithm with software, and software with technique.
  5. Demonstrate skills in communicating the analysis and results of business decisionproblems and to work as a member of a team.
  6. Develop analytical skills in structuring and analysis (scientific method) of businessdecision problems which characterize the field of Management Science.
  7. Develop awareness of the complimentary nature of the rational and behavioralapproaches to decision making and planning.
  8. Use the knowledge gained from this course to continue life-long learning in decisiontechnologies to aid business decision making and planning.
Mode of DeliveryE-Learning
PrerequisitesNo
Recommended Optional Programme ComponentsNone
Course DescriptionNetwork models such as PERT/CPM technique; the shortest route, minimal spanning tree, and maximal flow problems are introduced. The nature and the solution methodology of dynamic programming problems are examined. Waiting line models such as single, multiple channel queuing systems, and simulation modeling are the other topics to be covered.
Course Contents
WEEK TOPICS
1st Week Introduction to the Course
2nd Week What is the Concept of Management Science?
3rd Week Network Modeling - 1
4th Week Network Modeling - 2
5th Week Project Management - 1
6th Week Project Management - 2
7th Week Queueing Modeling - 1
8th Week Assignment
9th Week Queueing Modeling - 2
10th Week Simulation - 1
11th Week Simulation - 2
12th Week Computer Applications of Queueing Theory and Simulation
13th Week Dynamic Programming - 1
14th Week Dynamic Programming - 2
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.
EkKaynaklar
Introduction to Management Science, 9th Edition, Prentice Hall, 2007, B. Taylor and W. Bernard, ISBN: 0131888099.
Introduction to Operations Research 8th Edition, McGraw-Hill, 2005, F.S. Hillier and G.J. Lieberman, ISBN-13 9780073211145.
Applied Management Science: Modeling, Spreadsheet Analysis, and Communication for Decision Making, 2nd Edition, John A. Lawrence, Jr. and Barry A. Pasternack, ISBN-13: 9780471391906.
YöneylemAraştırması: İşletmecilikUygulamalıbilgisayarDestekliModelleme, 2nd Edition, SiyasalKitabevi, 2007, AydınUlucan, ISBN: 9756325118.
Planned Learning Activities and Teaching Methods
  • Lecture
  • Discussion
Assessment Methods and Criteria
Quantity Percentage (%)
Assignment 1 20
Total(%) 20
Contribution of In-term Studies to Overall Grade(%) 20
Contribution of Final Examination to Overall Grade(%) 80
Total(%) 100
ECTS Allocated Based on Student Workload
Activities Quantity Duration (Hour) Total Workload (Hour)
Midterm exam
Preparation for Quiz
Individual or group work 1 60 60
Preparation for Final exam 1 80 80
Course hours 14 1 14
Preparation for Midterm exam
Laboratory (including preparation)
Final exam 1 25 25
Homework 2 30 60
Total Work Load239
Total Work Load / 30 (h)7.96
ECTS Credit of the Course8
Language of InstructionTurkish
Work Placement(s)No

Programme Qualifications / Learning Outcomes

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