VBM636 - INTRODUCTION TO INFORMATION MANAGEMENT

Course Name Code Semester Theory
(hours/week)
Application
(hours/week)
Credit ECTS
INTRODUCTION TO INFORMATION MANAGEMENT VBM636 Any Semester/Year 3 0 3 6
Prequisites-
Course languageTurkish
Course typeElective 
Mode of DeliveryFace-to-Face 
Learning and teaching strategiesLecture
Other: Problem Solving, Project Design  
Instructor (s)Prof. Dr. Ä°lyas Çiçekli, Prof. Dr. YaÅŸar Tonta 
Course objectiveThe objective of this course is to teach main paradigms in information management. 
Learning outcomes
  1. Learn basic concepts of information management.
  2. Know developments and problems of information management and informatics profession.
  3. Be informed about current knowledge in information management.
Course Content? Basic concepts of information research and information management,
? Micro and macro level of information management,
? Characteristics of information centers
? Electronic information services,
? The historical development of information management and informatics profession,
? Basic problems related to information management. 
References1. Laudon, K.C. and J.P. Laudon, Management Information Systems: Managing the Digital Firm, 7th ed., Pearson:London, 2002.
2. McGarry, K.J., The Changing context of information. Clive Bingley:London, 1998.
3. Webster, F., What Information Society. The Information Society, 10: 1-23, 1994. 

Course outline weekly

WeeksTopics
Week 1Introduction to Information Management
Week 2Managing Digital Firm
Week 3Information Systems in Enterprise
Week 4Information Systems, Organizations and Management
Week 5Electronic Business and Electronic Commerce
Week 6Ethical and Social Issues in Digital Firm
Week 7Information Technology Infrastructure and Platforms
Week 8Midterm
Week 9Managing Data Resources
Week 10Telecommunications, Networks, and the Internet
Week 11Security and Control
Week 12Business Process Integration
Week 13Managing Knowledge in Digital Firm
Week 14Management Decision-Making for Digital Firm
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