The NECSI Summer School offers two intensive week-long courses on complexity science, modeling and networks, and data analytics. The format of the courses is modular and you may register for either or both of the weeks. Each week also includes a one-day lab session. If desired, arrangements for credit at a home institution may be made in advance.
The first week offers an introduction to complex systems concepts and modeling. The second week will cover networks and data analytics. Participants will learn how to handle large datasets using academy- and industry-standard toolboxes, how to integrate data into the construction of models and analysis relevant to research and industry applications, and a variety of visualization techniques.
The courses are intended for faculty, graduate students, post-doctoral fellows, professionals and others who would like to gain an understanding of complexity science and data analytics for their respective fields, new research directions, or industry applications.
The schedule for the summer school is as follows:
• Lab 1: June 3 CX102: Computer Programming for Complex Systems
• Week 1: June 4-8 CX201: Concepts and Modeling
• Lab 2: June 10 CX103: Setting up for Data Analytics
• Week 2: June 11-15 CX202: Networks and Data Analytics