Master of Science in Industrial Engineering

Linear Optimization(IND 501)

Course Code Course Name Semester Theory Practice Lab Credit ECTS
IND 501 Linear Optimization 1 3 0 0 3 6
Prerequisites
Admission Requirements
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Course Type
Course Level Masters Degree
Course Instructor(s) EBRU ANGÜN ebru.angun@gmail.com (Email)
Assistant
Objective
Content
Course Learning Outcomes
Teaching and Learning Methods
References
Print the course contents
Theory Topics
Week Weekly Contents
1 Modeling of optimization problems (Bazaraa, Jarvis & Sherali, Chapter 1, Bertsimas & Tsitsiklis, Chapter 1)
2 Modeling of optimization problems (Bazaraa & Sherali, Chapter 1, Wolsey, Chapter 1) and solution through GAMS and MATLAB+CPLEX
3 Basic concepts in linear algebra (Bazaraa, Jarvis & Sherali, Chapter 2)
4 Basic concepts in convex analysis (Bazaraa, Jarvis & Sherali, Chapter 2)
5 The simplex and big-M algorithms (Bazaraa, Jarvis & Sherali, Chapter 3)
6 The two-phase algorithm, degeneration, cycling, and cycling prevention rules (Bazaraa, Jarvis & Sherali, Chapter 4)
7 Farkas’ lemma, Karush-Kuhn-Tucker optimality conditions (Bazaraa, Jarvis & Sherali, Chapter 5)
8 Midterm I
9 Duality and sensitivity analysis (Bazaraa, Jarvis & Sherali, Chapter 6, Bertsimas & Tsitsiklis, Chapter 4)
Practice Topics
Week Weekly Contents
Contribution to Overall Grade
  Number Contribution
Contribution of in-term studies to overall grade 0 0
Contribution of final exam to overall grade 0 0
Toplam 0 0
In-Term Studies
  Number Contribution
Assignments 0 0
Presentation 0 0
Midterm Examinations (including preparation) 0 0
Project 0 0
Laboratory 0 0
Other Applications 0 0
Quiz 0 0
Term Paper/ Project 0 0
Portfolio Study 0 0
Reports 0 0
Learning Diary 0 0
Thesis/ Project 0 0
Seminar 0 0
Other 0 0
Toplam 0 0
No Program Learning Outcomes Contribution
1 2 3 4 5
1
2
3
4 X
5 X
6 X
7 X
8
9 X
10 X
11 X
12
Activities Number Period Total Workload
Total Workload 0
Total Workload / 25 0.00
Credits ECTS 0
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