COURSE UNIT TITLE

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

Offered to

Ph.D. in Computer Science (English)
Computer Science

Course Objective

This course aims to provide an integrated framework approach for the information system and data analytics applications, which are used extensively in modern urban environments through information and communications technologies.

Learning Outcomes of the Course Unit

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Recomended or Required Reading

Textbook(s): Frequently cited articles from the recent literature.
Supplementary Book(s): ISO/IEC JTC 1, Smart cities: Preliminary report, International Organization for Standardization & International Electrotechnical Commission, 2014.
N. Marz, and J. Warren, Big Data: Principles and best practices of scalable real-time data systems, Manning, 2015.

Planned Learning Activities and Teaching Methods

The course is taught in a lecture, class presentation and discussion format. Besides the taught lecture, group presentations are to be prepared by the groups assigned and presented in a discussion session. In some weeks of the course, results of the homework given previously are discussed.

Assessment Methods

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

English

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

ugur.eliiyi@deu.edu.tr

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Contribution of Learning Outcomes to Programme Outcomes