| Academic Unit: |
MIS |
| Mode of Delivery: |
Face to face |
| Prerequisites: |
None |
| Language of Instruction: |
English |
| Level of Course Unit: |
Doctorate |
| Course Coordinator: |
Mehmet Aydın |
| Course Objectives: |
After successfully completing the course, students will have the following abilities and skills in both the theory and practice of cloud computing.
Theory:
An ability to make sense of data and technology management from MIS perspective
An ability to describe abstraction layers, approaches, tools for data and technology management
Knowledge on special topics concerning data and technology management including cloud computing, big data, Internet of Things,
Practice:
Practical experiences and research skills in working on a special research matter for data and technology management
Experience with a toolset for network science including R, Gephi |
| Course Contents: |
Business and technical aspects of data and technology management. Data integration, framework and business intelligence. Information Technology Innovation, Strategy, (Open) Data Governance and Architecture. Data Collection, Preparation and Visualization. Big Data Management and Technology Challenges. Emerging data management applications, data partnership |
| Learning Outcomes of the Course Unit (LO): |
|
| Planned Learning Activities and Teaching Methods: |
In class lectures, class work, laboratory exercices, readings, midterm and final exam. Teaching is interactive. |
At Kadir Has University, a Semester is 14 weeks; The weeks 15 and 16 are reserved for final exams.
Due to the nature of the subject, the reference reading material is a collection of articles, case study materials, a number of chapters from a textbook. The initial reading list is as follows.
a. Pat Cupoli, D. A. M. A., Devlin, B., & Ng, R. (2013). ACM Tech Pack on Business Intelligence/Data Management.
b. Atzori, L., Iera, A., & Morabito, G. (2010). The internet of things: A survey. Computer networks, 54(15), 2787-2805.
c. Abadi, D. J. (2009). Data Management in the Cloud: Limitations and Opportunities. IEEE Data Eng. Bull., 32(1), 3-12.
Further details of the reading material are to be provided as we proceed in those subjects which are of interest to the students. |
THE RELATIONSHIP BETWEEN COURSE LEARNING OUTCOMES (LO) AND PROGRAM QUALIFICATIONS (PQ)
| # |
PQ1 |
PQ2 |
PQ3 |
PQ4 |
PQ5 |
PQ6 |
PQ7 |
PQ8 |
PQ9 |
PQ10 |
PQ11 |
PQ12 |
Contribution: 1 Low, 2 Average, 3 High
