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IE 312
Operations Research II

Faculty Faculty of Engineering and Natural Sciences
Semester Summer 2025-2026
Course IE 312 - Operations Research II
Time/Place
Time
Week Day
Place
Date
15:40-18:30
Mon
FASS-G049
Jul 6-Aug 21, 2026
15:40-18:30
Tue
FASS-G049
Jul 6-Aug 21, 2026
Level of course Undergraduate
Course Credits SU Credit:3, ECTS:6, Basic:1, Engineering:5
Prerequisites IE 311
Corequisites IE 312R
Course Type Lecture

Instructor(s) Information

Ece Naz Duman

Course Information

Catalog Course Description
Develop a broad perspective on the relationships between various types of optimization problems; acquire modeling and solution skills for various methodologies: integer programming, network flows, dynamic programming, heuristics; apply these skills to problems from domains such as service, production, transportation, and energy systems.
Learning Outcomes:
1. Have a basic understanding of integer programming modeling and branch and bound algorithm as a solution method.
2. Have an understanding of basic concepts related to networks, network models including shortest path, maximum flow and minimum cost network flow problems
3. Have an understanding of dynamic programming
4. Have an understanding of heuristic approaches
5. Be able to implement developed models and/or solution methods using appropriate software
Course Objective
To teach basic ingredients of deterministic optimization including integer programming modeling and solution methods, network models, dynamic programming and heuristics
Sustainable Development Goals (SDGs) Related to This Course:
Affordable and Clean Energy
Industry, Innovation and Infrastructure
Responsible Consumption and Production

Course Materials

Resources:
Operations Research: Applications and Algorithms, 4th edition. W.L. Winston. Thomson/Brooks/Cole, 2004.
Introduction to Operations Research, 9th edition. F.S. Hillier, G.J. Lieberman. McGraw-Hill, 2010.
Operations Research: An Introduction, 7th edition. H.A. Taha. Prentice-Hall, 2003.
Technology Requirements:
Students must bring their laptops to each lecture and recitation hour. Python language and a IDE to use it (I will use vscode) and gurobi must be available and up-to-date all times.

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