Computing in Optimization and Statistics
Phil Chodrow, Joey Huchette, Brad Sturt, Dimitris Bertsimas, Professor
Enrollment: Unlimited: Advance sign-up required
Sign-up by 01/01
Attendance: Participants welcome at individual sessions
The "big data revolution" has placed added emphasis on computational techniques for
decision-making with data. Large-scale optimization, data analysis and visualization are now
commonplace among researchers and practitioners alike. More than ever, there is a need not
only to develop techniques, but also to implement and use them in computational practice.
This course (formerly “Software Tools for Operations Research”) is a multi-session workshop
on software tools for informing decision-making using data, with a focus on optimization and
statistics. We concentrate on teaching elementary principles of computational practice using
common software and practical methods. By the end of the course, students will possess a
baseline technical knowledge for modern research practice. Class participation and individual
hands-on coding are stressed in each session.
The course is divided into 8 self-contained modules. Each module consists of a 3-hour,
interactive workshop where participants learn a specific software tool. Class participation, group
code-reviews and individual hands-on coding are stressed in each session. At the end of the
module, participants will be able to use the software and techniques learned in their own
research. Participants will also leave each workshop with code they, themselves, have authored
to use for future reference.
Sponsor(s): Operations Research Center
Contact: Brad Sturt, bsturt@mit.edu
| Jan/10 | Tue | 09:00AM-12:00PM | E51-151 |
Motivation, Terminal, Github
Jackie Baek, Brad Sturt
| Jan/12 | Thu | 09:00AM-12:00PM | E51-151 |
Data Wrangling & Visualization in R
Steven Morse, Alex Weinstein
| Jan/17 | Tue | 09:00AM-12:00PM | E51-151 |
Statistical Modeling and Machine Learning in R
Colin Pawlowski, Clark Pixton
| Jan/19 | Thu | 09:00AM-12:00PM | E51-151 |
Advanced Techniques for Data Science in R
Phil Chodrow
| Jan/19 | Thu | 09:00AM-12:00PM | E51-151 |
Introduction to Julia and JuMP, Linear Optimization, and Engaging
Joey Huchette, Sebastien Martin
| Jan/26 | Thu | 09:00AM-12:00PM | E51-151 |
Nonlinear and Integer Optimization in JuMP
Miles Lubin, Yee Sian Ng
| Jan/31 | Tue | 09:00AM-12:00PM | E51-151 |
Excel for Operations Research
Charles Thraves
| Feb/02 | Thu | 09:00AM-12:00PM | E51-151 |
Deep Learning in TensorFlow, Python
Eli Gutin, Brad Sturt
ORC IAP Seminar 2017: "Careers in OR and Analytics"
Steven Morse, Clark Pixton, Shwetha Mariadassou
| Jan/25 | Wed | 09:00AM-05:00PM | 32-123 |
Enrollment: Unlimited: No advance sign-up
Prereq: None
Date: Wednesday, January 25th, 2017
Time: 9:00am-4:30pm
Place: 32-123
Description: This year, the MIT Operations Research Center will welcome speakers from cutting-edge fields in OR and analytics — both in industry and in academia — to discuss their work, research, and careers and to discuss the future of OR.
Schedule:
8:30-9:00 - COFFEE AND REFRESHMENTS
9:00-10:00 - Iain Dunning - Solving Intelligence at DeepMind: Research overview, applications, and connections to OR
10:00-11:00 - Kris Ferreira - OR Academics Informing Industry…and Vice Versa
11:00-12:00 - Gina Mourtzinou - The Financial Service Industry: Investment Management and Advice
12:00-1:00 - LUNCH BREAK (lunch not provided)
1:00-2:00 - Nataly Youssef - Analytics in Healthcare
2:00-3:00 - Rama Ramakrishnan - From Data to Dollars: Confessions of an OR Entrepreneur
3:00-4:30 - Careers in OR and Analytics Panel
Brian Denton - Professor, University of Michigan, Industrial & Operations Engineering; INFORMS President
Bill Pulleyblank - Professor of Operations Research, West Point
Rama Ramakrishnan - Senior Vice-President, Data Science, Salesforce (NYSE: CRM)
Dimitris Bertsimas - Boeing Professor of Operations Research; Codirector, Operations Research Center, MIT
More details available on the ORC IAP Seminar website: http://orc.mit.edu/events/orc-iap-seminar-2017
If you have any questions you may contact the ORC IAP Seminar student coordinators by email: orc_iapcoordinators@mit.edu
Sponsor(s): Operations Research Center
Contact: Steven Morse, stmorse@mit.edu
Contact Information
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