Description of Individual Course Units
|
Offered By |
Graduate School of Natural and Applied Sciences |
Level of Course Unit |
Second Cycle Programmes (Master's Degree) |
Course Coordinator |
Offered to |
Computer Science |
Course Objective |
This course aims to provide a wide perspective in network science topics for analyzing the dynamics and topology of complex networks by use of algorithmic, computational, and statistical methods. |
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): M.S. Bazaraa, J.J. Jarvis, and H.D. Sherali, Linear Programming and Network Flows, Wiley-Interscience, 2004. |
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 |
||||||||||||||||||||||||
*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable. |
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 |
||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|