CS 6140: Machine Learning

Time and Location: Thursdays from 6:00 pm to 9:00 pm in Behrakis Health Sciences Cntr 325

Instructor: Lu Wang, Office 448 WVH

Staff and Office Hours:

Discussion Forum: Piazza, sign up at http://piazza.com/northeastern/spring2016/cs6140

Course Description


Textbook and References


This course is designed for graduate students majoring in computer science, applied math, and other related areas. Students who take this coruse are expected to be able to write code in some programming languages (e.g. Python, Java, C/C++) proficiently, and finish courses in algorithms (CS 5800 or CS 7800), multivariable calculus, probability, statistics, and linear algebra.


Each assignment or report, both electronic copy and hard copy, is due at the beginning of class on the corresponding due date. Hard copies are submitted in class. Assignment or report turned in late will be charged 10 points (out of 100 points) off for each late day (i.e. 24 hours). Each student has a budget of 5 days throughout the semester before a late penalty is applied. You may want to use it wisely, e.g. save for emergencies.

Grades will be determined based on three assignments, one course project, one open-book exam, and participation:


Jan 14

Jan 21

Jan 28

Feb 4

Feb 11

Feb 18

Feb 25

Mar 3

Mar 10 (No Class: Spring Break)

Mar 17

Mar 24

Mar 31

Apr 7

Apr 14

Academic Integrity

This course follows the Northeastern University Academic Integrity Policy. All students in this course are expected to abide by the Academic Integrity Policy. Any work submitted by a student in this course for academic credit should be the student's own work. Collaborations are allowed only if explicitly permitted. Violations of the rules (e.g. cheating, fabrication, plagiarism) will be reported.