GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
NONLINEAR OPTIMIZATION/5401307
Course Title: NONLINEAR OPTIMIZATION
Credits 3 ECTS 7.5
Course Semester 1 Type of The Course Elective
COURSE INFORMATION
 -- (CATALOG CONTENT)
 -- (TEXTBOOK)
 -- (SUPPLEMENTARY TEXTBOOK)
 -- (PREREQUISITES AND CO-REQUISITES)
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- COURSE OBJECTIVES
 -- COURSE LEARNING OUTCOMES
An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice
The broad education necessary to understand the impact of engineering solutions in a global and societal context
 -- MODE OF DELIVERY
  The mode of delivery of this course is face to face.
 --WEEKLY SCHEDULE
1. Week  Limit of a function, continuous and discontinuous functions, derivative of functions and simple derivation rules
2. Week  Basic Nonlinear Programming Model, Local and Global maximum and minimum points, Concave and convex functions
3. Week  Modelling and solving unconstrained nonlinear problems with single variable.
4. Week  Finding the maximum or minimum point of single variable unconstrained functions by the Golden Section method
5. Week  Modelling and solving unconstrained nonlinear problems with multiple variables, steepest ascent method.
6. Week  Constrained optimization algorithms: modelling nonlinear programming problems with multiple variables and equality constraints.
7. Week  Modelling NLPs with multiple variables and inequality constraints. Modelling and solving NLP problems by using Lagrange function
8. Week  Karush Kuhn Tucker optimality conditions, solving NLPs with multiple variables and inequality constraints by using KKT conditions.
9. Week  Midterm Exam
10. Week  Quadratic programming
11. Week  Seperable programming
12. Week  Feasible region method
13. Week  Geometric programming
14. Week  Penalty-barrier method
15. Week  Penalty-barrier method
16. Week  Final exam
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
1
25
 Assignment
2
25
 Application
0
0
 Projects
0
0
 Practice
0
0
 Quiz
0
0
 Percent of In-term Studies  
50
 Percentage of Final Exam to Total Score  
50
 -- WORKLOAD
 Activity  Total Number of Weeks  Duration (weekly hour)  Total Period Work Load
 Weekly Theoretical Course Hours
14
3
42
 Weekly Tutorial Hours
0
 Reading Tasks
0
 Searching in Internet and Library
0
 Material Design and Implementation
0
 Report Preparing
5
16
80
 Preparing a Presentation
0
 Presentation
0
 Midterm Exam and Preperation for Midterm Exam
2
10
20
 Final Exam and Preperation for Final Exam
3
11
33
 Other (should be emphasized)
0
 TOTAL WORKLOAD: 
175
 TOTAL WORKLOAD / 25: 
7
 Course Credit (ECTS): 
7.5
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1Can Reach the information in width and in depth by conducting scientific research in the field, evaluate, interpret and apply the information.X
2Has comprehensive knowledge about current techniques and methods applied in engineering and their limitations.
3Completes and applies knowledge using scientific methods, using uncertain, limited or incomplete data; use information from different disciplines together.
4Aware of the new and emerging practices of the profession, examines and learns when needed.
5Defines and formulates problems related to the field, develops methods to solve them and applies innovative methods in solutions.X
6Develops new and / or original ideas and methods; design complex systems or processes and develop innovative / alternative solutions in their designs.
7Designs and applies theoretical, experimental and modeling based research; examines and solves the complex problems encountered in this process.
8Can work effectively in disciplinary and multidisciplinary teams, can lead such teams and develop solutions in complex situations; work independently and take responsibility.
9Communicate verbally and in writing by using a foreign language at least at the B2 level of European Language Portfolio.X
10Transfer the process and results of his / her studies in written and verbal form in a systematic and clear manner in national and international environments within or outside the field.
11Knows the social, environmental, health, security, legal aspects of engineering applications as well as project management and business practices and is aware of the constraints that these impose on engineering applications.
12It considers social, scientific and ethical values in the stages of data collection, interpretation and announcement and in all professional activities.X
 -- NAME OF LECTURER(S)
   (Prof. Mehmet KABAK and other relevant faculty members)
 -- WEB SITE(S) OF LECTURER(S)
   (websitem.gazi.edu.tr/mkabak)
 -- EMAIL(S) OF LECTURER(S)
   (makabak@gazi.edu.tr)