Quantitative Reasoning 2: Uncertainty and Inference

Spring 2017, INFO-1301, University of Colorado Boulder

Instructor:

Prof. Michael Paul

(Office hour: Friday, 10:15am–11:45am, ENVD 207)

Time/Place:

MW 9:30am–10:45am
ENVD 201

Contact:

mpaul@colorado.edu

Textbook:

Downey (2014) Think Stats: Exploratory Data Analysis in Python, 2nd Edition.

Introduces intermediate-level methods for quantitative data analysis, focusing on foundational concepts in probability and statistical inference along with complementary computational skills and tools. The course will cover basic probability concepts, common probability distributions and methods for estimating their parameters, multivariate regression with applications to forecasting and classification and a variety of methods of statistical significance testing.

data, probability, statistics

Prerequisites:

INFO 1301: Quantitative Reasoning 1 (or equivalent)
INFO 1201: Computational Reasoning 1 (or equivalent)

Textbooks

Required: Downey (2014) Think Stats: Exploratory Data Analysis in Python, 2nd Edition.

A PDF version of this book is available for free online.
Some of you might wish to have a printed copy of the textbook. Physical copies are available from Amazon for approximately $32.

Recommended: Grinstead and Snell (2003) Introduction to Probability.

This is a comprehensive text on the foundations of probability that will be taught in this course. Select sections will be assigned.
A PDF version of this book is available for free online.

Recommended: Diez, Barr, Çetinkaya-Rundel (2015) OpenIntro Statistics, 3rd Edition.

This is the textbook used in INFO-1301. It introduces many of the statistics concepts that are covered in depth in this course, and you may find it to be a helpful supplement.
A PDF version of this book is available for free online.

Related Course Materials

CSCI-3022: Introduction to Data Science

Many of the materials (slides, exercises) in INFO-2301 are based on materials from CSCI-3022, as Professors Paul and Boyd-Graber developed the courses together. If you want to get a head start, you may find it useful to look at the CSCI-3022 website.