Covers big-data-analysis techniques that scale out with increasing number of compute nodes, e.g., for cloud computing. Focuses on approaches for problem and data partitioning that distribute work effectively while keeping total cost for computation and data transfer low. Deterministic and random algorithms from a variety of domains, including graphs, data mining, linear algebra, and information retrieval, are studied and analyzed in terms of their cost, scalability, and robustness against skew. Coursework emphasizes hands-on programming experience with modern state-of-the-art big-data-processing technology. Students who do not meet course prerequisites may seek permission of instructor.
Most aspects of the course are managed through Blackboard (northeastern.blackboard.com). However, we use Piazza for all online discussions. Please sign up right away at https://piazza.com/northeastern/fall2019/cs6240 . Do not email your course-related questions. Instead, post everything on Piazza. There is also an option for private posts that can only be seen by instructors and TAs.
Please read the syllabus carefully.
Go to this page for the online modules. Please make sure you go through the material before the week it is discussed in class.
Mirek: Tuesday 1:45-3:30pm in 448 WVH. I am also available during the in-class break and right after class. If you cannot make it during office hours, request an appointment through Piazza private post.
TBA: day time in the hallway on the 4th floor of WVH (look at the glass door of 442 WVH for more info)
| Week | Start date | Comments |
|---|---|---|
| 1 | Sep 2 | |
| 2 | Sep 9 | |
| 3 | Sep 16 | |
| 4 | Sep 23 | |
| 5 | Sep 30 | |
| 6 | Oct 7 | |
| 7 | Oct 14 | No class Oct 14 (Columbus Day) |
| 8 | Oct 21 | |
| 9 | Oct 28 | |
| 10 | Nov 4 | |
| 11 | Nov 11 | No class Nov 11 (Veterans Day) |
| 12 | Nov 18 | Exam week (Monday, Tuesday) |
| 13 | Nov 25 | No class Nov 27-30 (Thanksgiving) |
| 14 | Dec 2 | |
| 15 | Dec 9 | Project presentations (by default on both class meeting days) |