ΔΕΑL0102 OPTIMIZATION METHODS AND TOOLS (Core)

ΔΕΑL0102 OPTIMIZATION METHODS AND TOOLS (Core)

Course Information

Course Outline

Course Category
Course Type
Course Code
Semester
Contact Hours
ECTS Units
Division
Instructor

Graduate
Core/Compulsory
ΔΕΑL102
1st (Fall)
3 hours/week
7.5
Production Management & Industrial Administration
George Kozanidis

Course Category: Graduate
Course Type: Core/Compulsory
Course Code: ΔΕΑL0102
Semester: 1st (Fall)
Contact Hours: 3 hours/week
ECTS Units: 7.5
Division: Production Management and Industrial Administration
Instructor: George Kozanidis

Scope

Introduction to the basic concepts of optimization theory, familiarization with fundamental information technology tools (programming languages, software, etc.) for solving optimization problems, and application of acquired knowledge to solve problems encountered in realistic environments.

Contents
  • Introduction to optimization theory, categorization and formulation of problems.
  • Modeling techniques, solution methods, and sensitivity analysis.
  • Commercial software and programming languages (CPLEX, LINGO, MATLAB, EXCEL, C/C++).
  • Real-world applications and case studies.
Bibliography
  • Vasileiou P.X., Georgiou A. (1996). Non-Linear Optimization Methods. Zitis Publications. 
  • Taha H., (2011). Introduction to Operations Research. Greek translation, A. Tziolas & Sons O.E. Publications. 
  • Hillier F.S., Lieberman G.J., (2001). Introduction to Operations Research. McGraw-Hill.
Educational Material

Lectures, software and programming languages (CPLEX, LINGO, MATLAB, EXCEL, C/C++).

Language of Instruction

Greek or English.

Teaching Method

Lectures and Assignments.

Assessment
  • Written Final Examination (50%). 
  • Assignments (30%). 
  • Exercises (20%).
Workload (in hours)

190.