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SDÜ Education Information System Course Content
Programme
Graduate School of Natural and Applied Sciences Mechanical Education
Course Information
Course Unit Code
Course Unit Title
Credit Theoretic
Credit Pratic
Credit Lab/A
Credit Total
Credit Ects
Semester
01MAE5155
Advanced Technologies and Applications in Energy Systems
3.00
0.00
0.00
3.00
6.00
1
Course Information
Language of Instruction
Turkish
Type of Course Unit
Elective
Course Coordinator
Associate Professor Dr. Arzu ŞENCAN
Course Instructors
2-Arzu ŞENCAN ŞAHİN
Course Assistants
0-YOK
Course Aims
Using of intelligent systems in energy systems.
Course Goals
1) To present alternative heating and cooling systems
2) To teach alternative refrigerants
3) To apply new methods such as artificial neural networks, fuzzy logic, genetic algorithm to energy systems
Learning Outcomes of The Course Unit
1) To recognize alternative heating and cooling systems
2) To learn alternative refrigerants
3) Applicability to energy systems new methods such as artificial neural networks, fuzzy logic, genetic algorithm
Course Contents
Applicability of new methods such as artificial neural networks, fuzzy logic, genetic algorithm to cooling, heating, air conditioning, solar energy systems, modeling of complex energy systems with these new techniques, optimization, completing the missing data in energy systems.
Prerequisities and Co-requisities Courses
 
Recommended Optional Programme Components
 
Mode Of Delivery
 
Level of Course Unit
 
Assessment Methods and Criteria
ECTS / Table Of Workload (Number of ECTS credits allocated)
Studies During Halfterm
Number
Co-Efficient
Activity
Number
Duration
Total
Visa
1
70
Course Duration (Excluding Exam Week)
14
3
42
Quiz
0
0
Time Of Studying Out Of Class
14
3
42
Homework
1
20
Homeworks
2
20
40
Attendance
0
0
Presentation
0
0
0
Application
0
0
Project
1
20
20
Lab
0
0
Lab Study
0
0
0
Project
1
10
Field Study
0
0
0
Workshop
0
0
Visas
1
15
15
Seminary
0
0
Finals
1
15
15
Field study
0
0
Workload Hour (30)
30
TOTAL
100
Total Work Charge / Hour
174
The ratio of the term to success
40
Course's ECTS Credit
6
The ratio of final to success
60
 
TOTAL
100
 
Recommended or Required Reading
Textbook
There is not
Additional Resources
Artificial intelligence in thermal systems design: concepts and applications, Enrico Sciubba, Roberto Melli.Nova Science Publishers, Inc, ISBN 1-560-72599-0, 274p, New York, 1998.
Material Sharing
Documents
There is not
Assignments
There is not
Exams
There is not
Additional Material
There is not
Planned Learning Activities and Teaching Methods
Lectures, Practical Courses, Presentation, Seminar, Project, Laboratory Applications (if necessary)
Work Placements
As with any other educational component, credits for work placements are only awarded when the learning outcomes have been achieved and assessed. If a work placement is part of organised mobility (such as Farabi and Erasmus), the Learning Agreement for the placement should indicate the number of credits to be awarded if the expected learning outcomes are achieved.
Program Learning Outcomes
No
Course's Contribution to Program
Contribution
1
An ability to apply knowledge of mathematics, science, and engineering,
5