OLI. Carnegie Mellon University


The Open Learning Initiative (OLI) is a grant-funded group at Carnegie Mellon University, offering innovative online courses to anyone who wants to learn or teach. Our aim is to create high-quality courses and contribute original research to improve learning and transform higher education.
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2015-05-01 03:56:23
New course added: Evidence-Based Practice In Management And Consulting http://myeduc...onsulting.htm
2015-05-01 02:28:23
New course added: NSC Cyber Technology Program http://myeduc...y+Program.htm
2015-03-30 16:17:21
New course added: Introduction to Visual Design http://myeduc...al+Design.htm


OLI and Lumen make teaching courses even easier

2019-06-27 18:32:44

OLI and Lumen make teaching courses even easier by improving delivery and support CMU's Open Learning Initiative has partnered with e…


Dean Scheines discusses the OpenSimon learning engineering community

2019-06-25 21:16:29

Dean Scheines discusses the OpenSimon learning engineering community Dr. Richard Scheines chats about Learning Engineering with Enrol…


Seven elite universities, including CMU, offering free online courses

2019-06-19 19:39:28

Seven elite universities, including CMU, offering free online courses OLI and CMU are in good company on a curated list of top-tier s…


OLI and Simon Initiative’s OpenSimon Toolkit in the news

2019-05-16 19:36:42

OLI and Simon Initiative's OpenSimon Toolkit in the news Photo by Jeffrey R. Young, EdSurge Last week The Simon Initiative announced…


OpenSimon Toolkit to make every classroom a learning laboratory

2019-05-07 20:58:19

OpenSimon Toolkit to make every classroom a learning laboratory Carnegie Mellon University has launched OpenSimon — a…


Top courses Most popular

Argument Diagramming

4 votes 0 0

This course provides an introduction to exploring and understanding arguments by explaining what the parts of an argument are, and how to break arguments into their parts and create diagrams to show how those parts relate to each other. Argument diagramming is a great visual tool for evaluating claims that people make. By the end of the course, you will be able to think critically about arguments or claims and determine whether or not they are logical. This skill can be used in a variety of situations, such as listening to the news, reading an article, or making a point in a meeting. This is an introductory course and may be useful to a broad range of students.


4 votes 0 0

This is an introductory course in biochemistry, designed for both biology and chemical engineering majors. A consistent theme in this course is the development of a quantitative understanding of the interactions of biological molecules from a structural, thermodynamic, and molecular dynamic point of view. A molecular simulation environment provides the opportunity for you to explore the effect of molecular interactions on the biochemical properties of systems. This course assumes that students have taken introductory chemistry, including basic thermodynamics, as well as introductory organic chemistry. An introductory biology course is not a prerequisite for the course, but students would benefit from some prior exposure to biology, even at the high school level. Required mathematical skills include simple algebra and differential calculus.

Statistical Reasoning

4 votes 0 0

Statistical Reasoning introduces students to the basic concepts and logic of statistical reasoning and gives the students introductory-level practical ability to choose, generate, and properly interpret appropriate descriptive and inferential methods. In addition, the course helps students gain an appreciation for the diverse applications of statistics and its relevance to their lives and fields of study. The course does not assume any prior knowledge in statistics and its only prerequisite is basic algebra. We offer two versions of statistics, each with a different emphasis: Probability and Statistics and Statistical Reasoning. Each course includes all expository text, simulations, case studies, comprehension tests, interactive learning exercises, and the StatTutor labs. Each course contains all of the instructions for the four statistics packages options we support. To do the activities, you will need your own copy of Microsoft Excel, Minitab, the open source R software, TI calculator, or StatCrunch. One of the main differences between the courses is the path through probability; Statistical Reasoning places less emphasis on probability than does the Probability and Statistics course and takes an empirical approach.

Secure Coding

4 votes 0 0

An ongoing development effort in collaboration with the Software Engineering Institute’s CERT [1], this course focuses on common security issues in C and C++ development. With security expert Robert Seacord serving as lead content author, the course addresses a key need in professional education for software developers. Topics to be covered include the secure and insecure use of integers, arrays, strings, dynamic memory, formatted input/output functions, and file I/O. Continued development is being funded by partnerships with industry. [1] http://www.cert.org/

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