MIT will offer two more sessions of its six-week online course “Tackling the Challenges of Big Data,” developed and delivered by faculty of the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) in collaboration with MIT Professional Education. The upcoming sessions begin May 5 and July 7, 2015.
The university said that approximately 7,000 professionals from over 100 countries and over 3,000 organizations worldwide attended the first two sessions, held in the fall of 2014 and winter of 2015.
Read my accounts of the modules that make up the course:
- Big data challenges: volume, velocity, variety
- Commuting via rapidly mixing Markov chains
- GPUs drive MIT’s MapD Twitter big-data application
- Emerging tools address data curation
- What is cloud computing?
- Big data impels database evolution
- Distributed computing platforms serve big-data applications
- NewSQL takes advantage of main-memory databases like H-Store
- Onions of encryption boost big-data security
- Lecture addresses scalability in multicore systems
- User interfaces can clarify, or obscure, big data’s meaning
- It’s a small world, but with big data
- Sampling, streaming cut big data down to size
- Coresets offer a path to understanding big data
- Machines learn from experience
- Machines read Twitter and Yelp so you don’t have to
- Computer scientists to transform medicine
- Got credit-card debt? Big data plots risk of default
You can learn more or register here.
MIT is also offering on-campus summer Short Programs for engineers. Read more here.
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