CS6140 13F: Basic Information

Instructor

• Name: Jay Aslam
• Office: 338 WVH
• E-mail: jaa@ccs.neu.edu

Teaching Assistants

• Name: Pavel Metrikov
• Office: 472 WVH
• E-mail: metpavel@ccs.neu.edu

• Name: Cheng Li
• Office: 472 WVH
• E-mail: chengli@ccs.neu.edu

Course

• Meets: Mon/Wed 2:50--4:30pm
• Room: 102 WVG

Prerequisite

• CS5800 (Algorithms). Machine Learning is largely self-contained.

Texts

• Machine Learning: A Probabilistic Perspective by Kevin Murphy. Recommended, but not required.
• Pattern Classification (second edition) by Duda, Hart, and Stork. Recommended, but not required.

Homeworks and Projects

• There will be approximately six written homeworks and/or coding projects assigned throughout the term. The exact schedule of these assignments will be posted on the syllabus page.

Project

• There will be a final project which will involve coding and a written report.

Grading

• Homeworks: 3/4
• Final Project: 1/4

Academic Honesty

• All work submitted for credit must be your own.
• You may discuss the assignments with your classmates, the TAs, and Professor Aslam. You must acknowledge the people with whom you discuss your work, and you must write your own code and written solutions. Any sources used (apart from the text) must also be acknowledged.
• Please ask if you have any questions about academic honesty as it applies to CS6140.

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