GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
PROBLEM SOLUTION TECHNIQUES WITH HEURISTIC ALGORITHMS/5101324
Course Title: PROBLEM SOLUTION TECHNIQUES WITH HEURISTIC ALGORITHMS
Credits 3 ECTS 7.5
Semester 1 Compulsory/Elective Elective
COURSE INFO
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- NAME OF LECTURER(S)
  Asst.Prof.Dr. AYSUN COŞKUN
 -- WEB SITE(S) OF LECTURER(S)
  http://websitem.gazi.edu.tr/site/aysunc
 -- EMAIL(S) OF LECTURER(S)
  aysunc@gazi.edu.tr
 -- LEARNING OUTCOMES OF THE COURSE UNIT
Knows the concept of Heuristic Algorithm.
Solves the problems using Heuristic Algorithms.
 -- MODE OF DELIVERY
  The mode of delivery of this course is Face to face
 -- PREREQUISITES AND CO-REQUISITES
  There is no prerequisite or co-requisite for this course.
 -- RECOMMENDED OPTIONAL PROGRAMME COMPONENTS
  There is no recommended optional programme component for this course.
 --COURSE CONTENT
1. Week  Introduction to Heuristic Algorithms
2. Week  Restricted and Non-restricted Optimization Problems
3. Week  Continuous and Discrete Optimization Problems
4. Week  Genetic Algorithms
5. Week  Harmony Research
6. Week  Particle-Swarm Optimization
7. Week  Differential Development Algorithm
8. Week  Midterm Exam
9. Week  Heuristic Operators
10. Week  Penalty function approach
11. Week  Presentations
12. Week  Presentations
13. Week  Presentations
14. Week  Presentations
15. Week  Final Exam
16. Week  
 -- RECOMMENDED OR REQUIRED READING
  -
 -- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
  Lecture
 -- WORK PLACEMENT(S)
  Not Applicable
 -- ASSESSMENT METHODS AND CRITERIA
 
Quantity
Percentage
 Mid-terms
1
40
 Assignment
0
0
 Exercises
0
0
 Projects
0
0
 Practice
0
0
 Quiz
0
0
 Contribution of In-term Studies to Overall Grade  
40
 Contribution of Final Examination to Overall Grade  
60
 -- WORKLOAD
 Efficiency  Total Week Count  Weekly Duration (in hour)  Total Workload in Semester
 Theoretical Study Hours of Course Per Week
15
3
45
 Practising Hours of Course Per Week
0
 Reading
15
3
45
 Searching in Internet and Library
15
3
45
 Designing and Applying Materials
0
 Preparing Reports
0
 Preparing Presentation
10
3
30
 Presentation
4
3
12
 Mid-Term and Studying for Mid-Term
1
3
3
 Final and Studying for Final
1
3
3
 Other
0
 TOTAL WORKLOAD: 
183
 TOTAL WORKLOAD / 25: 
7.32
 ECTS: 
7.5
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1Improves and deepens the field knowledge at an expert level based on undergraduate proficiency.X
2Comprehends the interactions between the computer education and other related disciplines.X
3Uses expert level theoretical and practical knowledge acquired in the computer education field.X
4Creates new knowledge by integrating the computer education knowledge and the knowledge from related disciplines.X
5Defines a problem in the computer education field.X
6Analyses the problems in the computer education field by using scientific research methods.X
7Proposes solutions to the problems in the computer education field.X
8Solves problems in the computer education field.X
9Evaluates the results within perspectives of quality processes.X
10Develops new approaches and methods by taking responsibility in complex situations in the application stages.X