Discussion : piazza

MS Teams : Khoury - DS 5230 1 (Summer 2024)

Texts Recommended (not mandatory)

• [A] Charu C. Aggarwal, Data Mining: The Textbook, Springer 2015

• [LRU] Jure Leskovec, Anand Rajaraman, Jeffrey D. Ullman Mining of Massive Datasets, Cambridge University Press, 2014
  

Prerequisites

• Linear algebra tutorial

  http://www.stanford.edu/class/cs229/section/cs229-linalg.pdf

• Probabilities tutorial

  http://www.stanford.edu/class/cs229/section/cs229-prob.pdf

• Programming: you should be familiar with programming in an imperative language like Java or Matlab or Python or R. While the programing language is your choice, we strongly encourage you to use one of these three mentioned. If you choose not to use on of these, discuss with the instructor first.
  

Homework

• There will be 7-8 assignments (one per module, roughly every two weeks), including programming ; please see the syllabus for an exact schedule. Some of the problems can be difficult, and it will often be helpful to discuss them with others. Feel free to form study groups. However, the idea is for everyone to understand the problems and experience working through the solutions, so you may not simply "give" a solution to another classmate. In particular, each student must write up his or her own homework solutions/code and must not read or copy the solutions/code of others. If you work with others on a problem, you must note with whom you discussed the problem at the beginning of your solution write-up.
  

• Extra Credit is optional / advanced problems, it does not impact the grade.

• Late homework policy: Homework is due at the beginning of class on the announced due date. You will be granted one homework extension of 1 week, to be used at your discretion, no questions asked. This policy does not apply to projects. After the first late assignment, unexcused late assignments will be penalized 20% per calendar day late. I normally will not accept assignments after the date on which the following assignment is due or after the solutions have been handed out, whichever comes first. If you will have a valid reason for turning in an assignment late, please see me in advance to obtain full-credit.

Projects

• Optionally students can work on a project replacing one HW, if they discuss it in advance with the instructor.

Academic Honesty

• All work submitted for credit must be your own.

• You may discuss the homework problems or projects with your classmates, including approach, plans on paper/board, results, parameters, setup, analysis. You cannot share code.
  You must acknowledge the people with whom you discussed your work, and you must write up your own solutions. Any written sources used (apart from the text) must also be acknowledged; however, you may not consult any solutions from previous years' assignments whether they are student or faculty generated.