Seminar in Algorithms
1.0
creditsAverage Course Rating
This course will explore algorithms and theoretical computer science with a focus on algorithms for massive data. Examples of topics include streaming algorithms, approximation algorithms, online algorithms. Students will be encouraged to select a paper and lead a discussion. External speakers will be invited to present current work as well. This course is a good opportunity for motivated students to learn modern algorithmic methods. Recommended Course Background: EN.600.463 or equivalent.
Fall 2012
Professor: Vladimir Braverman
Students enjoyed the diverse topics taught by guest speakers, the field trips, and the low-pressure environment of the class. The worst aspects of the course were the inconsistent quality of the lectures from week to week and the somewhat harsh homework grading by the teaching assistants. The course could be improved if there was more coherence between the guest speakers and if the course itself was more interactive. Prospective students should know that this is a fun, easy class. As long as they