OLI. Carnegie Mellon University

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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
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2015-05-01 02:28:23
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2015-03-30 16:17:21
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News

The Role Culture Plays In MOOC Success

2017-05-28 19:17:13

The Horizons Tracker blog recently featured a post regarding the efforts to improve the quality of Massive Online Open Courses (MOOCs), with…

 

Simon Initiative’s LearnLab Summer School

2017-05-03 15:19:47

The LearnLab Summer School is an intensive one-week course focused on creating technology-enhanced learning experiments and building intelli…

 

LearnLab Corporate Partners Meeting

2017-05-01 18:52:54

LearnLab’s 7th annual LearnLab Corporate Partners Meeting will be held on Thursday, May 18 and Friday, May 19, 2017 at Carnegie M…

 

Helping Community College Math Instructors Teach Statistics Effectively

2016-11-12 14:58:21

In the fall newsletter of The Statistics Teacher Network, published by the American Statistical Association, Matt Teachout writes about atte…

 

FutuOER – The Future of Open Education

2016-11-05 18:34:05

OLI Director Norman Bier and Brandon Muramatsu, Associate Director of Strategic Education Initiatives at MIT, have collected the essays writ…

 

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Argument Diagramming

4 votes 0 0
Free

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.

Biochemistry

4 votes 0 0
Free

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
Free

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
Free

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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