Information Package

Program of Industrial Engineering (English)

IND315

OPERATIONS RESEARCH II

Course Code
IND315
Semester
Fifth Term (Fall)
Theory+Practice
3 + 1
ECTS
6
Course TypeCompulsory Course
Course LevelBachelor's Degree
Year of Study3
SemesterFifth Term (Fall)
ECTS6
Name of Lecturer(s)
Learning Outcomes

At the end of this course, the students;

  1. Understand the basic concepts and principles of the nonlinear programming, integer programming and the dinamic programming
  2. are able to understand the conditions of local and global optima in the nonlinear programming
  3. are able to understand the optimality conditions of the solution in the integer programming models.
  4. can model the problems in the dinamic programming framework
  5. can generate the recursive functions in dinamic programming
  6. have the ability to solve and interpret the results of nonlinear models with single and multi variables, integer decision models and dinamic programming models
Mode of DeliveryFace to face
PrerequisitesYes(IND208)
Recommended Optional Programme ComponentsNone
Course DescriptionNonlinear decision models, local and global optima, convexity and quadratic forms. Analytic and numerical solutions of single and multi-variable nonlinear models. Integer programming, branch and bound method. Dynamic programming. Decision making under risk and uncertainty. Game theory.
Course Contents
WEEK TOPICS
1st Week Project Management: PERT
2nd Week Project Management: CPM
3rd Week Integer Programming
4th Week Integer Programming Models and Examples
5th Week Branch and Bound Algorithm
6th Week Nonlinear Models and Examples
7th Week Convexity, Concavity and Quadratic Forms
8th Week Midterm
9th Week Analytic and Numerical Solutions to the Single Variable Nonlinear Model
10th Week Nonlinear Models with Several Variables
11th Week Multi-Stage Decision Models
12th Week Dynamic Programming and Examples
13th Week Decision Making under Risk and Uncertainty
14th Week Decision Making with Multiple Objective
Recommended or Required ReadingKara, İ. (1986) Doğrusal Olmayan Modeller, Anadolu Üniversitesi Basımevi;
Winston, W.L. (1994) Operations Research: Applications and Algorithms, Duxbury Press;
Taha, H.A. (1997) Operations Research: An Introduction.
Planned Learning Activities and Teaching Methods
  • Lecture
  • Practice
  • Presentation
Assessment Methods and Criteria
Quantity Percentage (%)
Mid-term 1 30
Quiz 8 30
Practice 1 15
Attendance 1 5
Total(%) 80
Contribution of In-term Studies to Overall Grade(%) 80
Contribution of Final Examination to Overall Grade(%) 20
Total(%) 100
Language of InstructionEnglish
Work Placement(s)No
LO1 LO2 LO3 LO4 LO5 LO6
K1 X
K2 X X X
K3
K4 X X
K5 X
K6 X
K7
K8
K9
K10
K11