Simulation and Οptimization Μethods for Environmental Systems


(Code: 245KEY, Course outline)

Semester:  5 Teaching Credits: 3 ECTS: 5 Type: Compulsory
Prerequisite Courses: Course type: Skills development Instructor: Lekkas Demetris

Upon successful completion of  the course students should have acquired the following:

  • Comprehend the simulation and optimisation concepts and the related constrains in environmental applications
  • An ability to analyse and simulate environmental systems
  • An ability to implement methods and tools for Linear Programming, Nonlinear Programming, Dynamic Programming
Topics pr week: The course introduces undergraduate students to basic concepts and methodological tools needed for simulation and optimization. Weekly lectures and assignments cover the following topics:

  • Introduction, Classification of the optimization models,
  • Mathematical simulation
  • Theorems of Mathematical Optimization
  • Linear Programming Problems
  • Nonlinear Programming Problems
  • Dynamic Programming,
  • Applications of optimization methods to Environmental problems
  • Sustainable water resources management.
Theory – Lectures
(hours / week):
3
Exercises – Laboratories
(hours / week):
Other Activities:  –
Grading: Problem solving: 40%

Final Exam: 60%

Notes:
Basic Textbook:
  • Karatzas G., Papadopoulou M., 2016 Methods of optimisation of Environmental Systems, ISBN13 – 978-960-9495-01-1 (in Greek)
Bibliography:
Language:  The course is taught in Greek. For exchange students, English literature is proposed and examinations are given in English.
Internet Links: