Date Topics Readings
Aug 26: Lecture 1 Introduction
Chapter 1
Sept 2: Lecture 2 Data
Chapter 2
Sept 9: Lecture 3 Dimensionality Reduction;
Principal Component Analysis
Assignment 1
Project Guidelines
Project Paper Guidelines
Sept 16: Lecture 4 Classification
Chapter 4
Sept 23: Lecture 5 Assignment 1 due!
Classification (part 2)
Sept 30: Lecture 6 Classification (continued)
Assignment 2
Chapter 5
Oct 7: Lecture 7 Midterm Exam
Chapter 8
Oct 14: NO CLASS
Oct 21: Lecture 8 Assignment 2 due!
Project Proposal due!
Classification (continued)
Oct 28: Lecture 9 Classification (continued)
Nov 4: Lecture 10 Clustering
Paper on Base-Rate Fallacy
Nov 11: Lecture 11 Association Rules
Assignment 3
Chapter 6
Nov 18: Lecture 12 Final Exam
Nov 25: Lecture 13 Association Rules (continuted)
Assignment 3 due!
Dec 2: Lecture 14 Project presentations:
Fabian Francis
Saloni Desai
Warren Connell
Sheldon Gonsalves
Mahmoud Hammad
Habib Karbasian
Onkar Kurkute
Roberto Levy
Serena Mei
Prasad Nair
Suyog Parajuli
Ashutosh Pardeshi
Bahman Pedrood
Bill Sentlinger
Shweta Sukumaran
Vaibhav Tyagi

Dec 16: 7:30-10:15pm Project report due
Project presentations:
Erhan Uyar
Prakruthi Karuna
Jing Wu
Saif Ahmed
Raghav Mehta
Akshay Mehta
Jeronymo Carvalho
Ankitha Prabhu
Jayanthy Nagatajan
Anirudh Nirmal Rajanala
Qingzhe Li
Olu Adegbehingbe
Aisha Hunte
Jared Peck
Jatin Mistry
Rahul Goswami
Kevin Arvai
Matt Hovis
Scott Giles