Syllabus Application
ENS 511
Engineering Optimization
Faculty
Faculty of Engineering and Natural Sciences
Semester
Spring 2025-2026
Course
ENS 511 -
Engineering Optimization
Time/Place
Time
Week Day
Place
Date
09:40-10:30
Tue
FENS-L029
Feb 16-May 22, 2026
11:40-13:30
Wed
FENS-L029
Feb 16-May 22, 2026
Level of course
Masters
Course Credits
SU Credit:3, ECTS:10, Basic:2, Engineering:4
Prerequisites
-
Corequisites
-
Course Type
Lecture
Instructor(s) Information
Nikolaos Koltsaklis
Course Information
Catalog Course Description
This course will cover optimization methods for solving engineering problems. The methods will include linear and nonlinear programming, integer programming, dynamic programming, network models and an introduction to metaheuristic algorithms. Special emphasis will be given to practical aspects.
Course Learning Outcomes:
| 1. | At the end of the course, the student is expected to have the ability to construct mathematical models of real life problems and to use appropriate methods/software to solve the constructed models. |
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Course Objective
This course will expose students to operations research modeling and basic tools for optimization. It is designed for engineering students who do not have an industrial engineering background but would like to learn about modeling and optimization concepts. This course will be particularly useful for those who are likely to use these methods in their research and projects.
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