2016 Network Science course with Albert Laszlo Barabasi

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.