2016 Network Science course with Albert Laszlo Barabasi
09/05/2016
2016 Network Science Syllabus
(Classes: 5:30-7:30pm, Faculty Tower, Room 909.
Week 1:
May 9, Monday: Introduction (Ch1 of Network Science)
20 minutes: discuss the research projects.
May 10, Tuesday: Graph Theory (Ch2 of Network Science)
20 min: discuss research project.
Hand out the network dataset for Homework 1.
20 min: discuss research project.
May 11, Wednesday: Random Network Model (Ch 3 of Network Science)
Movie Night: Connected by Annamaria Talas, Auditorium 19:30-21:00.
May 12 (optional, but fun): Opening of Chiharu Shiota Exhibit, Central Square, Szentendre.
May 13, Friday: Visualization/Software + Scale-free property (Ch4 of Network Science)
20 min: discuss research project.
HW2 Handout
Week 2:
May 17, Tuesday (Class in Auditorium): Evolving Networks (Ch5/6 of Network Science)
20 min: discuss research project.
May 18, Wednesday: Network Robustness (Ch8 of Network Science)
20 min: discuss research project.
May 19, Thursday: Preliminary Project Presentations
5 min/max. 5 slides. No grading, only feedback.
Printout + email.
Before class: Return Homework 1 (class network analysis)
May 20, Friday: Communities (Ch9 of Network Science)
20 min: discuss research project.
Week 3:
May 23: Monday: Epidemics (Ch10 of Network Science)
20 min: discuss research project.
Before class: Return Homework 2
Final Project Presentation Options (10 min/max 10 slides).
Monday 6th June from 12pm
Tuesday 7th June from 2pm
Wednesday 8th June from 1 pm
Friday 10th June from 1 pm
OTHER USEFUL INFO:
Texbook: Network Science:
Chs. 1-10 are available at http://barabasi.com/NetworkScienceBook/
Contact us:
Silvia, silvia.fierascu@gmail.com (Office: 611, Nador utca 11)
Laszlo, barabasi@gmail.com (Office: 614, Nador utca 11)
GOOGLE MAILING LIST/GROUP
We have created a google mailing list for the class, netsci2016@googlegroups.com. SEND AN EMAIL TO silvia.fierascu@gmail.com and tell her what email you want to use and she will add you to the group/mailing list! All the important documents for the class will be posted there (syllabus, class slides, other relevant materials)
GRADING:
Assignment 1: Network analysis (20% of grade)
Due by email and print copy.
Assignment 2: Problems(20%)
Due by email and print copy.
Final Project (60% of the grade).
Goal: Collection and analysis of some real network data.
The project will be carried out in inter-departmental pairs of students. It consists of two phases:
Preliminary project presentation –
5 min/5 slides from each group. No grading, only feedback.
Final project presentation
15 min/max 15 slides. Graded.