In fall 2019, I am teaching MATH 123: Math Aspects of Data Analysis. The class is held in Bromfield-Pearson 101, Tuesdays and Thursdays 3:00-4:15 pm. Office hours are tentatively scheduled for Tuesdays and Wednesdays, 4:30-6:00 pm, and of course by appointment. Office hours are in Bromfield-Pearson 208. Our T.A. is Alejandro Coyoli Valencia, who will host office hours Mondays, 4:00-5:00 pm in Bromfield-Pearson 202. The syllabus contains all information regarding course policy, exams, and grading.

A study guide for Midterm 1 may be found here. A practice exam may be found here, along with solutions.

A study guide for Midterm 2 may be found here.

All homeworks should be completed in full, and be carefully written or typed. For proof exercises, show all relevant details. For coding questions, export your code in a readable format, along with any relevant images. Code should be clear, parsimonious, and well-commented.

Below is a list of recommended reading before each class. CB refers to Christoph Börgers' slides. GS refers to Gil Strang's textbook. ESL refers to "The Elements of Statistical Learning". Lecture notes corresponding to each lecture appears below. Note that these notes may differ slightly from the lecture content. Homework appears below.