BTÖ709 - COGNITION and COMPUTERS

Course Name Code Semester Theory
(hours/week)		 Application
(hours/week)		 Credit ECTS
COGNITION and COMPUTERS BTÖ709 Any Semester/Year 3 0 3 10
Prequisites
Course languageTurkish
Course typeElective 
Mode of DeliveryFace-to-Face 
Learning and teaching strategiesLecture
Preparing and/or Presenting Reports
Project Design/Management
Other: simulation  
Instructor (s)Prof. Dr. Arif ALTUN 
Course objectiveThis course is designed to examine the reflection of knowledge in the cognition field to the computer field practices. Cognitive psychology is one of the essential disciplines that provide understanding the learning process. Thus in the scope of this course, examining the cognitive learning processes and cognitive learning theories, it will be discussed in detailed that what are the reflection of computer usage in the educational environments and how those processes effect the learning concept in the context of cognition.  
Learning outcomes
  1. Taking this course, it is expected to improve yourself in the below subjects and practice those topics in your studies : ? Basics of cognitive Psychology; ? Basic Theories and Practices about the Cognitive Learning; ? Computers and Cognitive Learning Environments; ? Initiatives which computers brought to knowledge scope in the cognition context ? Reviewing literature related to your personal study field
  2. By the integration of learning outcomes of this course to the instructional design models and by the determination of contributions to the learning processes it is expected to develop new tools and learning environments. From this perspective, think about the below questions: 1) What do research in the field of cognitive processes and computer says to us?
  3. 2) Is the content a variable in the learning environments? In another words, which content could be best transferred to the students in e-learning environments? 3) How could the web usage maximized for the e-learning? At the end of this course, it is expected that all the students could say something within their own theoretical perspective about ?what the things are that make smart and intelligence people or instructional systems and computers? role in that process?.
Course ContentThe content of this course includes basics of cognitive psychology, cognitive based individual differences: cognitive styles, thinking styles and learning styles, perception and sensation, attention, memory, mental imagery, language and the structure of language, pattern recognition, intelligence, working memory and knowledge representation. Practice outcomes of those subjects in the computer science field will be discussed in the framework of related literature. 
References1. Ayçiçeği, A. (2007). Bilişsel Psikoloji. İstanbul: Kitapevi.
2. Engines for Education, by R. Schank. http://www.engines4ed.org/hyperbook/
3. How people learn: Brain, mind, experiences and school:
http://newton.nap.edu/html/howpeople1/index.html
4. ?Ontolab: E-Öğrenme İçin Ontoloji ve Bilişsel Profil Uygulama laboratuarı??na aşağıdaki adresten ulaşabilirsiniz.
http://www.ontolab.hacettepe.edu.tr/

 

Course outline weekly

WeeksTopics
Week 1Ayçiçeği-Dinn (2007), Section 1 Introduction to Cognitive Psychology
Week 2Cognitive based individual differences: cognitive styles, thinking styles and learning styles
Week 3Perception and Sensation
Week 4Attention and Attention Models
Week 5Attention and Attention Models
Week 6Midterm exam
Week 7Working Memory and Working Memory Models
Week 8Working Memory and Working Memory Models
Week 9Mental Imagery
Week 10Language and Structure of Language: Words and Reading
Week 11Pattern Recognition
Week 12Intelligence and Intelligent systems
Week 13Knowledge Representation and Ontology
Week 14Presentations
Week 15
Week 16Final exam

Assesment methods

Course activitiesNumberPercentage
Attendance105
Laboratory00
Application1210
Field activities00
Specific practical training00
Assignments45
Presentation110
Project140
Seminar00
Midterms110
Final exam120
Total100
Percentage of semester activities contributing grade succes1780
Percentage of final exam contributing grade succes120
Total100

WORKLOAD AND ECTS CALCULATION

Activities Number Duration (hour) Total Work Load
Course Duration (x14) 14 3 42
Laboratory 0 0 0
Application12448
Specific practical training000
Field activities12020
Study Hours Out of Class (Preliminary work, reinforcement, ect)51260
Presentation / Seminar Preparation12020
Project14040
Homework assignment41040
Midterms (Study duration)12020
Final Exam (Study duration) 11010
Total Workload40139300

Matrix Of The Course Learning Outcomes Versus Program Outcomes

D.9. Key Learning OutcomesContrubition level*
12345

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest