Information Package

Program of Management Information Systems

TBS356

QUANTITATIVE METHODS

Course Code
TBS356
Semester
-
Theory+Practice
3 + 0
ECTS
5
Course TypeElective Course
Course LevelBachelor's Degree
Year of Study-
Semester-
ECTS5
Name of Lecturer(s)
Learning Outcomes

At the end of this course, the students;

  1. Recognize quantitative and qualitative approaches used in problem solving in management science.
  2. Identify, classify, and model important decision problems for businesses.
  3. Recognize appropriate solution methods for decision problems and the software to apply these methods.
  4. Have the ability to apply quantitative techniques for decision-making situations in business and interpret the results.
Mode of DeliveryFace to face
PrerequisitesNo
Recommended Optional Programme ComponentsNone
Course DescriptionThis course examines quantitative methods used in management science. Topics include approaches to decision problems, linear and integer programming models, sensitivity analyses, transportation, and assignment problems.
Course Contents
WEEK TOPICS
1st Week Introduction to management science, quantitative and qualitative approaches in decision making
2nd Week Linear programming: model formulation
3rd Week Linear programming: graphical solution
4th Week Linear programming: sensitivity analyses
5th Week Linear programming: simplex algorithm and its applications
6th Week Linear programming: example applications
7th Week Integer programming
8th Week Midterm exam
9th Week Network models
10th Week Transportation and assignment problems
11th Week Project management: critical path method (CPM)
12th Week Project management: program evaluation and review technique (PERT)
13th Week Decision analysis
14th Week Examples of decision analysis applications
Recommended or Required ReadingChapra, S. C., & Canale, R. P. (2021). Numerical methods for engineers (8th ed.). McGraw-Hill.
Planned Learning Activities and Teaching Methods
  • Lecture
  • Practice
Assessment Methods and Criteria
Quantity Percentage (%)
Mid-term 1 40
Attendance 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 1 1
Preparation for Quiz
Individual or group work 14 3 42
Preparation for Final exam 1 40 40
Course hours 13 3 39
Preparation for Midterm exam 1 20 20
Laboratory (including preparation)
Final exam 1 1 1
Homework
Total Work Load143
Total Work Load / 30 (h)4.76
ECTS Credit of the Course5
Language of InstructionTurkish
Work Placement(s)No
LO1 LO2 LO3 LO4
K1
K2 X X X X
K3
K4
K5
K6
K7
K8
K9
K10
K11