Syllabus 201a Schedule 201a Projects 201b Schedule 201b Projects

UCSD 201a/b: Quantitative methods

This is the website for Psych 201a, 201b; they are presumed to be taken as a series with 201a in the fall, and 201b in the winter. This year 201a is also being offered as an advanced undergraduate course (Psych 193).

201a covers statistical graphics, probability, classical statistical methods, with an emphasis on the general linear model, and their implementation in R. 201b covers more advanced models and methods, including generalized linear models, multilevel/hierarchical regression, and computational approaches such as numerical optimization, Monte Carlo, and resampling.

Class meetings

Some class meetings are “lectures” others are “R labs”. Which is which will vary week to week. You will want a laptop with you for both types of class meetings.

Location:
   1350 McGill Hall

Times:
   Tuesdays 2-4pm (undergrads: 2-3:20)
   Wednesdays 5-7pm
   Thursdays 2-4pm (undergrads: 2-3:20)

Instructors

Ed Vul (edwardvul+201@gmail.com)
Office hours: 4-5pm Tuesday, and by appointment - 5137 McGill

Jarrett Lovelett (jlovelet@ucsd.edu)
Office hours: 10-12pm Wednesday - 2554 Mandler

Grading

Undergrads: Homework (75%), Project (25%). Note: undergrads do not take midterm or final.

Grads: Homework (25%), Midterm (25%), Final (25%), Project (25%).

Details:

Homework: These are entirely in R, on our online system. It makes sense to seek help from other students when you get stuck, but make sure you do everything yourself, so that you will be able to do it on your own in exams, and more importantly, real life.

Exams: Midterm (in class) and Final (take home). Working together on exams is prohibited.

Group project: You will analyze some data, write a final report, and make a presentation. Details for 201a and 201b

Resources

  • Class mailing list: Sign up here
    Occasional announcements posted here.

  • Anonymous feedback form: here
    Please tell us how we are doing (lectures, labs, assignments, etc.) What are we doing well? What can we do better? What are we are spending too much or too little time on? What are you having trouble with? Etc.

  • Homework assignments: login
    Login is your ucsd username, password is full student ID, including letter.

  • Readings: Generally we will draw on a number of sources, and our own notes, as needed for whatever we are covering.
  • Software: We are using R and the Rstudio IDE.