GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
COGNITIVE FOUNDATIONS OF SOFTWARE ENGINEERING/5051333
Course Title: COGNITIVE FOUNDATIONS OF SOFTWARE ENGINEERING
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
The student will explore theories of cognitive informatics and its potential impacts on, and applications in software engineering.
The student will be able to apply cognitive informatics on other information based sciences and engineering disciplines.
 -- MODE OF DELIVERY
  The mode of delivery of this course is face to face.
 --WEEKLY SCHEDULE
1. Week  Introduction, an overview of software engineering
2. Week  Cognitive informatics: Cognitive philosophy, Neural informatics foundations of the brain
3. Week  Cognitive informatics: The emergence of cognitive informatics, The theoretical framework of cognitive informatics
4. Week  Cognitive informatics models of the brain: The Layered Reference Model of the Brain
5. Week  Cognitive informatics models of the brain: Cognitive properties of internal information
6. Week  Cognitive informatics models of the brain: Natural intelligence vs. artificial intelligence
7. Week  Cognitive informatics models of the brain: The cognitive model of the brain
8. Week  Midterm Exam, Cognitive informatics of knowledge representation: The Hierarchical Neural Cluster (HNC) model of memory,
9. Week  Cognitive informatics of knowledge representation: The Hierarchical Neural Cluster (HNC) model of memory, The Object-Attribute-Relation (OAR) model of
10. Week  Cognitive informatics of knowledge representation: The cognitive mechanisms of long-term memories, The memory capacity of human brain.
11. Week  Cognitive informatics for software engineering: Cognitive informatics properties of SE, SE psychology
12. Week  Cognitive informatics for software engineering: The cognitive foundation of software comprehension, SE skills and experiences.
13. Week  Cognitive complexity of software: The relative cognitive weights of generic software structures, Psychological experiments on the cognitive weights.
14. Week  Review of the course,Term paper presantations
15. Week  
16. Week  
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
1
30
 Assignment
3
30
 Application
0
0
 Projects
0
0
 Practice
0
0
 Quiz
0
0
 Percent of In-term Studies  
60
 Percentage of Final Exam to Total Score  
40
 -- WORKLOAD
 Activity  Total Number of Weeks  Duration (weekly hour)  Total Period Work Load
 Weekly Theoretical Course Hours
15
3
45
 Weekly Tutorial Hours
0
0
0
 Reading Tasks
15
3
45
 Searching in Internet and Library
15
3
45
 Material Design and Implementation
0
 Report Preparing
1
15
15
 Preparing a Presentation
1
15
15
 Presentation
1
1
1
 Midterm Exam and Preperation for Midterm Exam
1
8
8
 Final Exam and Preperation for Final Exam
1
15
15
 Other (should be emphasized)
0
 TOTAL WORKLOAD: 
189
 TOTAL WORKLOAD / 25: 
7.56
 Course Credit (ECTS): 
7.5
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1Putting into practice and/or developing scientific methods by deepening and improving information acquired at a former level.X
2The ability to solve complex problems independently by developing analysis, synthesis, critical thinking and problem solving capabilities and/or to find original solutions to addressed problems.X
3Designing a process or a system by using modern design methods and tools.X
4To be able to collect, evaluate and interpret data by means of scientific methods and access to new information systematically by using appropriate scientific methods.X
5Gaining the ability to determine solution methods and/or to develop scientific methods by taking part in multidisciplinary teams and integrating information from different areas within study field.X
6The ability to determine the appropriate tools in the processes of scientific research and to use information technologies effectively.X
7The ability to plan and manage projects, to define alternative solutions and/or to develop alternative solution methods to defined problems.X
8The ability to present his/her accumulation of scientific knowledge oral and in written.X
9The ability to contribute into science by publishing novel scientific results in national /international journals.X
10The ability to defend his/her thesis or scientific methods in front of expert groups.X
11The ability to update his/her knowledge continuously by following the scientific developments.X
12The ability to take into account the social, environmental and ethical values while conducting a scientific research and/or to produce solutions in social, environmental and ethical subjects.X
 -- NAME OF LECTURER(S)
   (Assoc. Prof.Dr. Aydın ÇETİN)
 -- WEB SITE(S) OF LECTURER(S)
   (http://websitem.gazi.edu.tr/site/acetin)
 -- EMAIL(S) OF LECTURER(S)
   (acetin@gazi.edu.tr)