2 Classes (24 Units)6.814 (12), ESD.86J (12)
6.814 Database Systems
Topics related to the engineering and design of database systems, including data models; database and schema design; schema normalization and integrity constraints; query processing; query optimization and cost estimation; transactions; recovery; concurrency control; isolation and consistency; distributed, parallel and heterogeneous databases; adaptive databases; trigger systems; pub-sub systems; semi structured data and XML querying. Lecture and readings from original research papers. Semester-long project and paper. Students taking graduate version complete different assignments. Enrollment may be limited.
6.814 will be offered this semester (Fall 2018). It is instructed by S. R. Madden.
Lecture occurs 2:30 PM to 4:00 PM on Mondays and Wednesdays in 32-155.
This class counts for a total of 12 credits.
ESD.86J Models, Data and Inference for Socio-Technical Systems
Use data and systems knowledge to build models of complex socio-technical systems for improved system design and decision-making. Enhance model-building skills, including: review and extension of functions of random variables, Poisson processes, and Markov processes. Move from applied probability to statistics via Chi-squared t and f tests, derived as functions of random variables. Review classical statistics, hypothesis tests, regression, correlation and causation, simple data mining techniques, and Bayesian vs. classical statistics. Class project.
Lecture occurs 10:30 AM to 12:00 PM on Mondays and Wednesdays in E51-372.
This class counts for a total of 12 credits. This is a graduate-level class.
In the Spring 2015 Subject Evaluations, ESD.86J was rated 5.4 out of 7.0. You can find more information at the http://www.google.com/search?&q=MIT+%2B+ESD.86&btnG=Google+Search&inurl=https site.
© Copyright 2015 Yasyf Mohamedali