Course Code	Semester	Course Name	LE/RC/LA	Course Type	Language of Instruction	ECTS
CSE0518		Theories in Network Science (Not offered.)	3/0/0	DE	Turkish	9

Course Goals	Providing the student with theoretical foundation in graph theory, as well as a common themes across various network fields, so that the student may tackle current issues in network science.
Prerequisite(s)	-
Corequisite(s)	-
Special Requisite(s)	-
Instructor(s)	Assoc. Prof. Muhammed Ali AYDIN
Course Assistant(s)	-
Schedule	-
Office Hour(s)	-
Teaching Methods and Techniques	Half of the course will consist of lectures while the other half will consist of student presentations.
Principle Sources	"The Structure and Dynamics of Networks", by Newman, Barabasi, and Watts.
Other Sources	"Graph Theory" by Bondy and Murty. "Modern Graph Theory" by Bela Bollobas.

Course Schedules
Week	Contents	Learning Methods
1. Week	Motivation, introduction to graphs and network science	lecture
2. Week	Small Worlds	lecture
3. Week	Random graphs	lecture
4. Week	Scale Free networks	lecture
5. Week	Random Geometric Graphs	lecture
6. Week	Generating models	lecture
7. Week	Network formation games	lecture
8. Week	student presentations	presentations
9. Week
10. Week
11. Week
12. Week
13. Week
14. Week
15. Week
16. Week
17. Week

Assessments
Evaluation tools	Quantity	Weight(%)
Homework / Term Projects / Presentations	1	80
Attendance	1	20

Program Outcomes PO-1 an ability to apply knowledge from undergraduate and graduate engineering and other disciplines to identify, formulate, and solve novel and complex electrical/computer engineering problems that require advanced knowledge within the field PO-2 knowledge of advanced topics within at least two subdisciplines of computer engineering PO-3 the ability to understand and integrate new knowledge within the field; PO-4 the ability to apply advanced technical knowledge in multiple contexts PO-5 a recognition of the need for, and an ability to engage in, life-long learning PO-6 the ability to plan and conduct an organized and systematic study on a significant topic within the field PO-7 an ability to convey technical material through formal written reports which satisfy accepted standards for writing style PO-8 the ability to analyze and use existing literature PO-9 the ability to demonstrate effective oral communication skills PO-10 the ability to stay abreast of advancements in the area of computer engineering

Learning Outcomes LO-1 Understanding of theoretical foundations in graph theory and random processes. LO-2 Understanding common themes arising in various network disciplines. LO-3 Tackling current research problems in network science.

Course Assessment Matrix:

	PO 1	PO 2	PO 3	PO 4	PO 5	PO 6	PO 7	PO 8	PO 9	PO 10
LO 1
LO 2
LO 3