VBM645 - SPECIAL TOPICS IN INFORMATION SYSTEMS

Course Name Code Semester Theory
(hours/week)
Application
(hours/week)
Credit ECTS
SPECIAL TOPICS IN INFORMATION SYSTEMS VBM645 Any Semester/Year 3 0 3 6
PrequisitesNone
Course languageTurkish
Course typeElective 
Mode of DeliveryFace-to-Face 
Learning and teaching strategiesLecture
Problem Solving
Project Design/Management
 
Instructor (s)Prof. Dr. Ä°lyas Çiçekli, Prof. Dr. Hayri Sever, Prof. Dr. HaÅŸmet Gürçay, Doç. Dr. Ebru Sezer, Dr. Ebru Yüksel, Yrd. Doç. Dr. Aykut Erdem, Dr. Erkut Erdem, Yrd. Doç. Dr. Nazlı Ä°kizler CinbiÅŸ, Dr. Ahmet B. Can 
Course objectiveThe objective of this course is to teach dpecial topics in information systems. 
Learning outcomes
  1. At the end of this course, students will learn special topics in information systems.
Course Content? Geographic Information Systems,
? Hospital Management Information Systems,
? Scientific Information Systems,
? Expert Systems,
? Financial Information Systems,
? Multimedia Information Systems,
? E-Government Applications. 
ReferencesBooks related to information systems, articles and Internet. 

Course outline weekly

WeeksTopics
Week 1Geographic Information Systems
Week 2Geographic Information Systems
Week 3Hospital Management Information Systems
Week 4Hospital Management Information Systems
Week 5Scientific Information Systems
Week 6Scientific Information Systems
Week 7Expert Systems
Week 8Midterm
Week 9Expert Systems
Week 10Financial Information Systems
Week 11Financial Information Systems
Week 12Multimedia Information Systems
Week 13Multimedia Information Systems
Week 14E-Government Applications
Week 15
Week 16Final exam

Assesment methods

Course activitiesNumberPercentage
Attendance00
Laboratory00
Application00
Field activities00
Specific practical training00
Assignments315
Presentation00
Project00
Seminar00
Midterms135
Final exam150
Total100
Percentage of semester activities contributing grade succes450
Percentage of final exam contributing grade succes150
Total100

WORKLOAD AND ECTS CALCULATION

Activities Number Duration (hour) Total Work Load
Course Duration (x14) 14 3 42
Laboratory 0 0 0
Application000
Specific practical training000
Field activities000
Study Hours Out of Class (Preliminary work, reinforcement, ect)14342
Presentation / Seminar Preparation000
Project000
Homework assignment31545
Midterms (Study duration)11515
Final Exam (Study duration) 12525
Total Workload3361169

Matrix Of The Course Learning Outcomes Versus Program Outcomes

D.9. Key Learning OutcomesContrubition level*
12345
1. Has detailed knowledge about data and knowledge engineering (DKE).    X
2. Has a good understanding of common concepts such as abstraction, complexity, security, concurrency, software lifecycle and applies their expertise to the effective design, development and management of IS.  X  
3. Understands the interaction of theory and practice and the links between them.   X 
4. Has the ability to think at different levels of abstraction and detail; understands that an IS can be considered in different contexts, going beyond narrowly identifying implementation issues.   X 
5. Solves any technical or scientific problem independently and presents the best possible solution; has the communication skills to clearly explain the completeness and assumptions of their solution.   X 
6. Completes a project on a larger scale than an ordinary course project in order to acquire the skills necessary to work efficiently in a team.   X 
7. Recognises that the field of DKE is rapidly evolving. Follows the latest developments, learns and develops skills throughout their career.    X
8. Recognises the social, legal, ethical and cultural issues related to DKE practice and conduct professional activities in accordance with these issues.    X
9. Can make oral presentations in English and Turkish to different audiences face-to-face, in writing or electronically.   X 
10. Recognises that DKE has a wide range of applications and opportunities.    X
11. Is aware that DKE interacts with different fields, can communicate with experts from different fields and can learn necessary field knowledge from them.    X
12. Define a research problem and use scientific methods to solve it.    X 

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