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Use the course finder to browse from 12 computer science specialties including: artificial intelligence, computer networks, programming languages, and software design. Use the limiters to select the types of OER you would like to use including: lecture notes, interactive simulations, online textbooks, and assessments.

Think Bayes is an introduction to Bayesian statistics using computational methods. Most books on Bayesian statistics use mathematical notation and present ideas in terms of mathematical concepts like calculus. This book uses Python code instead of math, and discrete approximations instead of continuous mathematics. As a result, what would be an integral in a math book becomes a summation, and most operations on probability distributions are simple loops. -Allen B. Downey

Think Stats emphasizes simple techniques you can use to explore real data sets and answer interesting questions. The book presents a case study using data from the National Institutes of Health. Readers are encouraged to work on a project with real datasets. if you have basic skills in Python, you can use them to learn concepts in probability and statistics. Think Stats is based on a Python library for probability distributions (PMFs and CDFs). Many of the exercises use short programs to run experiments and help readers develop understanding. -Allen B. Downey

Archive of free lectures videos and audio on data structures, discrete mathematics and probability theory, operating systems and system programming, software engineering, .

This open code resource is expanding daily as users contribute interactive illustrations to show concepts in a wide variety of topics.