School of Chemical and Environmental Engineering

Now offering two distinct diplomas: Chemical Engineering and Environmental Engineering

# Optimization of Environmental and Energy Systems

1. COURSE INFORMATION:

 School Chemical and Environmental Engineering Course Level Undergraduate Direction Environmental Engineering Course ID ENVE 335 Semester 6th Course Category Required Course Modules Instruction Hours per Week ECTS Lectures and Tutorials 4 T=3, E=1, L=0 4 Course Type General Background Prerequisites Instruction/Exam Language Greek The course is offered to Erasmus students No Course URL https//www.eclass.tuc.gr/courses/MHPER216/  (in Greek)

2. LEARNING OUTCOMES

 Learning Outcomes Upon successful completion of the course the student will be able to:Recall optimization methodologies, linear, non-linear, dynamic programming and advanced optimization methodologies.Recognize the mathematical expression of optimization for an environmental problem and which methodology is most suitable for solving any kind of problem.Select the appropriate solution method and determine the optimal solutionΑpply the taught methodologies to environmental problems. General Competencies/Skills Work AutonomouslyDecision makingProject planning and management

3. COURSE SYLLABUS

 INTRODUCTION TO THE THEORY OF OPTIMIZATION: Introduction.Optimization Model Classification, Nonlinear Optimization, Hollow Sets and Functions.Mathematical Optimization Theorems.Geometry of the Mathematical Optimization Problem.CLASSIC OPTIMIZATION: Unlimited Optimization Problems, Lagrange Multipliers.LINEAR PROGRAMMING: Optimization in Linear Programming ProblemsLINEAR PROGRAMMING: Simplex Method.NON-LINEAR PROGRAMMING: Introduction, Unlimited Optimization Methods,NON-LINEAR PROGRAMMING Optimization Methods with Constraints, Dynamic Programming.DYNAMIC PROGRAMMING: Introduction and basic concepts.ADVANCED METHODS OF OPTIMIZATION: Genetic algorithms,ADVANCED METHODS OF OPTIMIZATION: Fuzzy Logic, Neural Networks.Matlab applications.

4. INSTRUCTION and LEARNING METHODS - ASSESSMENT

 Lecture Method Direct (face to face) in classrooms Use of Information and Communication Technology Specialized software; E-class support Instruction Organisation Activity Workload per Semester (hours) - Lectures 39 -Study and literature review 18 - Projects 30 - Problem solving 13 Course Total 100 Assessment Method Ι. Written final examination (80%). - Theoretical problems with data to be resolved.ΙΙ. Project 20(%).