东中院1-200
每周四晚上11---13节（18:00－20:20），3—13周
Instructor: Prof. Wang Xiaofan (汪小帆 教授)

Course description and objectives

Goal:

Upon completion of this course, the students will be able to apply basic knowledge of network science to various practical problems, which include analyze the properties of real networks, build representative network models, analyze the effects of network structures on dynamical behaviors.

Pre-requisites:

Students are expected to have the following background: Familiarity with the basic calculus, the basic linear algebra and the basic probability Knowledge of basic programming principles at a level sufficient to write a reasonably non-trivial computer program

Textbook:

汪小帆, 李翔，陈关荣,《网络科学导论》(高等教育出版社,2012)
( Wang Xiaofan, Li Xiang, Chen Guanrong Network Science: An Introduction. )

Assessment Pattern:

Each student should submit an report on complex networks, which may follow the IEEE format and will typically be around 10 pages. Collaborations are welcomed, but copy is not!

Collaborations/Academic Honesty:

All course participants must adhere to SJTU Academic Conduct Code. All instances of academic dishonesty will be reported to the university.