Semester 8


Course: Operations Research



Course Code: E36
Course Level: Undergratuate
Obligatory/Elective: Elective
Semester: 8
Division: Division of Computers
Group: Group Β
ECTS Credits: 5
Hours Per Week: 5
Website: eclass.uowm.gr
Language: Greek
Content:

Introduction to optimization, mathematical programming models, variables, objective function parameters, constraints. Linear programming theory, graphical solution, Simplex method, sensitivity analysis. Linear programming problem solving using computer software (lindo, lingo, EXCEL solver). Integer programming. Branch and Bound algorithm. Binary programming. Applications to real-world problems.

Learning Outcomes:

Understanding the basic mathematical programming (Linear and Non-linear) concepts and methods. Ability to model real-world operational problems by the development of appropriate mathematical programming models. Ability to solve mathematical programming models by employing the appropriate operations research methodologies and algorithms. The ability to handle data and solve mathematical programming models using computer software. The ability to perform sensitivity analyses on the results of operations research problems. Interpretation of the results of an operations research problem's solution.

Pre-requirements:

Statistics

Teaching Methods:

Hours of Instruction 65 (Theory: 39, Exercises: 26)

Validation:

Final written exam (compulsory) , Intermediate written exam (optional)

Suggested Books:
  • [1] Case Studies of Operations Research, Vol. Α, A. K. Georgiou, G. S. Oikonomou, G. D. Tsiotras. Benou Publ., 2006.
  • [2] Quantitative Analysis, Vol. Α and B, D. P. Psoinos. Ziti Publ., 1993.
  • [3] Operations Research, P. G. Ypsilantis. Propobos Publ., 2007.
  • [4] Quantitative Analysis for Management Decision Making, Vol. A and B, G. S. Oikonomou, A. K. Georgiou. Benou Publ., 2000.
  • [5] Introduction to Operations Research, Hamdy A. Taha, translation: A. I. Margaris. Tziola Publ., 2011
Lecturer: Kiriakidis Thomas