Summer Session 2017

Dates: June 5 - 23

Location: MIT, Cambridge, MA

  • The NECSI Summer School offers three intensive week-long courses on complexity science, modeling and networks, and data analytics. The new expanded format is modular with second and third weeks building on material covered in previous weeks, but none are a prerequisite for the others. You may register for any of the weeks. If desired, arrangements for credit at a home institution may be made in advance.

  • Week 1: June 5-9 CX201: Complex Physical, Biological and Social Systems

  • Lab 1: June 11 CX102: Computer Programming for Complex Systems

  • Week 2: June 12-16 CX202: Building Models and Mapping Networks

  • Lab 2: June 18 CX103: Setting up for Data Analytics

  • Week 3: June 19-23 CX203: From Data to Insight Using Data Analytics

  • At the end of the courses, we expect participants to return to their home institution with tools relevant to their research and new insights for future work.

  • The CX102 lab is strongly recommended to prepare students with little computer programming experience for CX202.

    Group Projects

  • Group projects are one of the most rewarding parts of the winter and summer courses. Participants split into project teams and put together a publication quality research project using complex systems tools learned during the week. On the final day of each week, groups present their projects. We consistently receive positive feedback about the projects.

    Schedule

  • Monday – Thursday:
    Lecture 9 AM – 5 PM
    Group Projects 6 PM – 8 PM

  • Friday:
    Group Presentation 9 AM – 12 PM
    Evaluations and Class Photo 12 – 12:15 PM
    Exam (required if taking course for credit, optional otherwise) 12:30 – 1:30 PM

    Credit

  • Arrangements to receive credit for NECSI courses at a home institution should be made in advance. To do so, contact us at programs@necsi.edu.

    Registration

  • Click here to register with a credit card

  • NECSI lecture

     

     

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