YBS604


Course Title Course Code Program Level
DATA AND TECHNOLOGY MANAGEMENT YBS604 Management Information Systems (Doctorate) M.A / M.Sc.

Course Term
(Course Semester)
Teaching and Learning Methods
Credits
Theory Practice Lab Projects/Field Work Seminars/Workshops Other Total Credits ECTS Credits
01
(Fall)
186 3 8

Teaching Staff
Language of Instruction Türkçe (Turkish)
Type Of Course Compulsory
Prerequisites
Recommended Optional Programme Component
Course Objectives The aim of this course is to enable students to have knowledge about data and technology management in theoretical and practical context and to be able to use them in scientific research and in the field. In the theoretical context, it is desirable to examine advanced and current research on data and technology management conceptual frameworks, different levels of abstraction, big data, internet of things, smart cities application areas, and conduct a research on a related subject.
Course Content Examining data and technology management at strategy, business, process and technology levels, data integration, IT innovation, open data governance and architecture, big data features and application areas, innovative applications, data-driven product, data visualization, commercial value of data, data framework and quality matters.
Learning Outcomes (LO) Ability to use current technologies and system approach related to management information systems in business life and to solve problems.
Mode of Delivery Face to face
Course Outline
Week Topics
1. Week Data Management Fundamentals
2. Week Data Management Fundamentals
3. Week Data Governance
4. Week Data Management Frameworks
5. Week Master Data Management
6. Week Data Quality
7. Week Data Warehouse and Business Intelligence
8. Week Midterm
9. Week Metadata and Data Analytics
10. Week Data Security Management
11. Week Document and Content Management
12. Week Internet of Things
13. Week Big Data Management
14. Week Improvements
Assessment
  Percentage(%)
Mid-term (%) 40
Quizes (%)
Homeworks/Term papers (%)
Practice (%)
Labs (%)
Projects/Field Work (%)
Seminars/Workshops (%)
Final (%) 60
Other (%)
Total(%) 100
Course Book (s) and/or References DATA MANAGEMENT BODY OF KNOWLEDGE SECOND EDITION 2017
Work Placement(s)
The Relationship between Program Qualifications (PQ) and Course Learning Outcomes (LO)
 

PQ1

PQ2

PQ3

PQ4

PQ5

PQ6

PQ7

PQ8

PQ9

PQ10

PQ11

PQ12

PQ13

PQ14

LO1

5

 

3

2

 

2

5

 

 

 

 

 

 

 

LO2

5

 

 

 

 

 

 

 

 

 

 

2

 

 

LO3

5

 

 

 

 

 

 

 

1

 

 

 

 

 

LO4

5

 

 

4

 

 

 

3

 

 

 

 

 

 

* Contribution Level : 1 Very low    2 Low     3 Medium     4 High      5 Very High