Optimization Techniques

Course Information
TitleΤΕΧΝΙΚΕΣ ΒΕΛΤΙΣΤΟΠΟΙΗΣΗΣ / Optimization Techniques
CodeΗΥ3202
FacultyEngineering
SchoolElectrical and Computer Engineering
Cycle / Level1st / Undergraduate
Teaching PeriodSpring
CoordinatorGeorgios Rovithakis
CommonNo
StatusActive
Course ID20000607

Class Information
Academic Year2017 – 2018
Class PeriodSpring
Faculty Instructors
Weekly Hours3
Class ID
600111447
Course Type 2016-2020
  • Scientific Area
Course Type 2011-2015
Specific Foundation / Core
Mode of Delivery
  • Face to face
Digital Course Content
Language of Instruction
  • Greek (Instruction, Examination)
  • English (Examination)
Learning Outcomes
The purpose of the course is for the course participant to develop basic knowledge and skills in optimization methods. On the completion of the course, the student will be able to: 1. Construct optimization problems; 2. Determine if an optimization problem can be solved; 3. Construct and analyze optimization algorithms for nonlinear problems, with or without constraints.
Course Content (Syllabus)
Basic principles (convex sets and functions, optimality conditions, duality); Unconstrained optimization (line search with and without using derivatives, gradient methods, the Levenberg-Marquardt modification, quasi-newton and conjugate gradient methods); Constrained optimization (penalty function methods, barrier function methods, methods of feasible directions, augmented Lagrangian methods); Convergence and speed of convergence analysis; Global optimization (simulated annealing, evolutionary algorithms).
Educational Material Types
  • Notes
  • Slide presentations
  • Book
Use of Information and Communication Technologies
Use of ICT
  • Use of ICT in Course Teaching
  • Use of ICT in Laboratory Teaching
  • Use of ICT in Communication with Students
Course Organization
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Lectures391.3
Total391.3
Student Assessment
Student Assessment methods
  • Written Exam with Short Answer Questions (Summative)
  • Written Assignment (Summative)
  • Performance / Staging (Summative)
  • Written Exam with Problem Solving (Summative)
  • Labortatory Assignment (Summative)
Bibliography
Course Bibliography (Eudoxus)
«Τεχνικές Βελτιστοποίησης» του Γεωργίου Ροβιθάκη, Εκδόσεις ΤΖΙΟΛΑ, 2007.
Last Update
16-07-2013