Cyber Security (Master) (without Thesis) (English)
Master TR-NQF-HE: Level 7 QF-EHEA: Second Cycle EQF-LLL: Level 7

Course Introduction and Application Information

Course Code: AO5015
Course Name: Optimization Algorithms
Semester: Fall
Spring
Course Credits:
ECTS
6
Language of instruction: English
Course Condition:
Does the Course Require Work Experience?: No
Type of course: Departmental Elective
Course Level:
Master TR-NQF-HE:7. Master`s Degree QF-EHEA:Second Cycle EQF-LLL:7. Master`s Degree
Mode of Delivery: E-Learning
Course Coordinator: Doç. Dr. AMIR SEYYEDABBASI
Course Lecturer(s): Dr.Handan Kulan
Course Assistants:

Course Objective and Content

Course Objectives: Metaheuristic methods are algorithms based on intuitive behaviors developed by living things on their ability to maintain processes such as movement, migration, nutrition in the most appropriate way possible and used for optimization purposes developed as a result of mathematical expressions. The aim of the course is to understand the meaning of optimization algorithms and their areas of use.
Course Content: The content of the course includes the concept of optimization and its uses, the development processes of metaheuristic algorithms, detailed information about the most commonly used algorithms and application examples.

Learning Outcomes

The students who have succeeded in this course;
1) The students who have succeeded in this course; 1) They understand the concept of optimization 2)They know where optimization should be used 3) They understand the basic structure of metaheuristic algorithms 4) They know that metaheuristic algorithms will get efficiency in which area they are applied

Course Flow Plan

Week Subject Related Preparation
1) The Concept of Optimization
2) Types of Optimization
3)
4)
5)

Sources

Course Notes / Textbooks: Yapay Zeka Optimizasyon Algoritmaları ve Mühendislik Uygulamaları - Gebrail Bektaş
Optimizasyon ve Matlab Uygulamaları -Aysun Tezel Özturan
References: Yapay Zeka Optimizasyon Algoritmaları ve Mühendislik Uygulamaları - Gebrail Bektaş
Optimizasyon ve Matlab Uygulamaları -Aysun Tezel Özturan

Course - Program Learning Outcome Relationship

Course Learning Outcomes

1

Program Outcomes
1) Being able to develop and deepen their knowledge at the level of expertise in the same or a different field, based on undergraduate level qualifications.
2) To be able to use the theoretical and applied knowledge at the level of expertise acquired in the field.
3) To be able to interpret and create new knowledge by integrating the knowledge gained in the field with the knowledge from different disciplines.
4) To be able to solve the problems encountered in the field by using research methods.
5) To be able to systematically transfer current developments in the field and their own studies to groups in and outside the field, in written, verbal and visual forms, by supporting them with quantitative and qualitative data.
6) To be able to communicate orally and in writing using a foreign language at least at the B2 General Level of the European Language Portfolio.
7) To be able to critically evaluate the knowledge and skills acquired in the field of expertise and to direct their learning.
8) To be able to use information and communication technologies at an advanced level along with computer software at the level required by the field.
9) To be able to supervise and teach these values ​​by observing social, scientific, cultural and ethical values ​​in the stages of collecting, interpreting, applying and announcing the data related to the field.
10) To be able to use the knowledge, problem solving and/or application skills they have internalized in their field in interdisciplinary studies.
11) Being able to independently carry out a work that requires expertise in the field.
12) To be able to develop new strategic approaches for the solution of complex and unpredictable problems encountered in applications related to the field and to produce solutions by taking responsibility.

Course - Learning Outcome Relationship

No Effect 1 Lowest 2 Average 3 Highest
       
Program Outcomes Level of Contribution
1) Being able to develop and deepen their knowledge at the level of expertise in the same or a different field, based on undergraduate level qualifications.
2) To be able to use the theoretical and applied knowledge at the level of expertise acquired in the field.
3) To be able to interpret and create new knowledge by integrating the knowledge gained in the field with the knowledge from different disciplines.
4) To be able to solve the problems encountered in the field by using research methods.
5) To be able to systematically transfer current developments in the field and their own studies to groups in and outside the field, in written, verbal and visual forms, by supporting them with quantitative and qualitative data.
6) To be able to communicate orally and in writing using a foreign language at least at the B2 General Level of the European Language Portfolio.
7) To be able to critically evaluate the knowledge and skills acquired in the field of expertise and to direct their learning.
8) To be able to use information and communication technologies at an advanced level along with computer software at the level required by the field.
9) To be able to supervise and teach these values ​​by observing social, scientific, cultural and ethical values ​​in the stages of collecting, interpreting, applying and announcing the data related to the field.
10) To be able to use the knowledge, problem solving and/or application skills they have internalized in their field in interdisciplinary studies.
11) Being able to independently carry out a work that requires expertise in the field.
12) To be able to develop new strategic approaches for the solution of complex and unpredictable problems encountered in applications related to the field and to produce solutions by taking responsibility.

Assessment & Grading

Semester Requirements Number of Activities Level of Contribution
Project 1 % 40
Final 1 % 60
total % 100
PERCENTAGE OF SEMESTER WORK % 40
PERCENTAGE OF FINAL WORK % 60
total % 100

Workload and ECTS Credit Calculation

Activities Number of Activities Workload
Course Hours 14 42
Project 14 49
Midterms 14 23
Final 14 41
Total Workload 155