Information Package

Ph.D. on Industrial Engineering

END623

DYNAMIC PROGRAMMING

Course Code
END623
Semester
-
Theory+Practice
3 + 0
ECTS
10
Course TypeElective Course
Course LevelDoctorate Of Science
Year of Study-
Semester-
ECTS10
Name of Lecturer(s)
Learning Outcomes

At the end of this course, the students;

  1. knows the basics of dynamic programming
  2. knows the solution methods of dynamic programming models
  3. Gain an ability of knowing the applications of integer programming and having ability to develop dynamic programming models and to solve them
Mode of DeliveryFace to face
PrerequisitesNo
Recommended Optional Programme ComponentsNone
Course DescriptionMulti-stage problem solving, multiple state variables. Decomposition and uncertainty in dynamic programming. Non-serial systems and decision processes.
Course Contents
WEEK TOPICS
1st Week Multi-level problem solution
2nd Week uncertainty in dynamic programming
3rd Week Non-serial systems
4th Week Decision process
5th Week Project Presentation
6th Week Project Presentation
7th Week Project Presentation
8th Week Midterm
9th Week Project Presentation
10th Week Project Presentation
11th Week Project Presentation
12th Week Project Presentation
13th Week Project Presentation
14th Week Project Presentation
Recommended or Required Reading1. Richard Bellman, Princeton Landmarks in Mathematics, Dynamic Programming, 1999
2. Nemhauser, G., Integer and combinatorial optimization, Awiley-Interscience Publication New York, 1999
3. )Hillier F.S., Lieberman G.J., 2001, Introduction to Operations Research (7th ed.), Mc Graw-Hill
Planned Learning Activities and Teaching Methods
  • Lecture
  • Questions/Answers
  • Problem Solving
  • Practice
  • Presentation
Assessment Methods and Criteria
Quantity Percentage (%)
Mid-term 1 25
Assignment 4 20
Project 1 20
Attendance 1 5
Total(%) 70
Contribution of In-term Studies to Overall Grade(%) 70
Contribution of Final Examination to Overall Grade(%) 30
Total(%) 100
ECTS Allocated Based on Student Workload
Activities Quantity Duration (Hour) Total Workload (Hour)
Midterm exam 1 2 2
Preparation for Quiz
Individual or group work 14 11 154
Preparation for Final exam 1 20 20
Course hours 14 3 42
Preparation for Midterm exam 1 20 20
Laboratory (including preparation)
Final exam 1 2 2
Homework 5 14 70
Total Work Load310
Total Work Load / 30 (h)10.33
ECTS Credit of the Course10
Language of InstructionTurkish
Work Placement(s)No
LO1 LO2 LO3
K1 X X X
K2 X X
K3 X X
K4 X X
K5 X
K6
K7
K8
K9
K10
K11