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Eight MITx courses among Class Central’s all-time best

Class Central, a resource for curating and rating online courses, has recognized eight MITx courses among its top honors: the Best Online Courses of All Time list. MITx is the second-most represented university on the list, which was recently expanded to 200 entries and draws on 125,000 learner reviews. 

Learn more about the 8 courses listed among the Best Online Courses of All Time

Introduction to Biology - The Secret of Life

Explore the secret of life through the basics of biochemistry, genetics, molecular biology, recombinant DNA, genomics and rational medicine.

Taught by:

Eric S. Lander—Founding Director of the Broad Institute; Professor of Biology, MIT

Michelle Mischke—Instructor, Department of Biology, MIT

Graham Walker—HHMI Professor; ACS Professor of Biology, MIT

Brian White—Associate Professor of Biology – Science Education, University of Massachusetts, Boston

Mary Ellen Wiltrout—Director of Blended and Online Initiatives, Lecturer, Department of Biology, MIT

 

Circuits and Electronics 1: Basic Circuit Analysis

Learn techniques that are foundational to the design of microchips used in smartphones, self-driving cars, computers, and the Internet.

Taught by:

Anant Agarwal—CEO and Professor of Electrical Engineering and Computer Science, MIT; edX

Gerald Sussman—Professor, Electrical Engineering, MIT

Piotr Mitros—Former Chief Scientist, edX

Chris Terman—Senior Lecturer, Electrical Engineering and Computer Science, MIT

Bonnie Lam—Graduate student, Electrical Engineering and Computer Science, MIT
 

Introduction to Computer Science and Programming Using Python
An introduction to computer science as a tool to solve real-world analytical problems using Python 3.5. (This course was also recognized on Class Central’s 100 Most Popular Courses During The Pandemic list.)

Taught by:

John Guttag—Dugald C. Jackson Professor of Computer Science and Electrical Engineering, MIT

Eric Grimson—Bernard Gordon Professor of Medical Engineering, Professor of Computer Science, MIT

Ana Bell—Lecturer, Computer Science and Electrical Engineering, MIT

 

Introduction to Computational Thinking and Data Science
6.00.2x is an introduction to using computation to understand real-world phenomena.

Taught by:

John Guttag—Dugald C. Jackson Professor of Computer Science and Electrical Engineering, MIT

Eric Grimson—Bernard Gordon Professor of Medical Engineering, Professor of Computer Science, MIT

Ana Bell—Lecturer, Computer Science and Electrical Engineering, MIT
 

Molecular Biology Part 1: DNA Replication and Repair

An in-depth adventure through DNA replication and repair to strengthen your scientific thinking and experimental design skills.

Taught by:
Stephen P. Bell—HHMI Investigator; Professor of Biology, MIT

Tania A. Baker—HHMI Investigator; Whitehead Professor of Biology, MIT

Mary Ellen Wiltrout—Director of Blended and Online Initiatives, Lecturer, Department of Biology, MIT

Sera Thornton—MITx Digital Learning Fellow, Department of Biology, MIT

 

The Analytics Edge
Through inspiring examples and stories, discover the power of data and use analytics to provide an edge to your career and your life.

Taught by:

Dimitris Bertsimas—Boeing Professor of Operations Research, MIT

Allison O'Hair—Lecturer, Stanford University

John Silberholz—Assistant Professor of Technology and Operations at U. of Michigan's Ross School of Business, University of Michigan
 

AP® Microeconomics
An overview of introductory microeconomics. Learn the key principles of economics and how to apply them to the real world - and the AP® exam!

Taught by:

Jonathan Gruber—Ford Professor of Economics, MIT

 

Probability: The Science of Uncertainty and Data
Build foundational knowledge of data science with this introduction to probabilistic models, including random processes and the basic elements of statistical inference. Part of the MITx MicroMasters program in Statistics and Data Science.

Taught by:

John Tsitsiklis—Professor, Department of Electrical Engineering and Computer Science, MIT

Dimitri Bertsekas—Professor, Electrical Engineering and Computer Science, MIT

Patrick Jaillet—Professor, Electrical Engineering and Computer Science, MIT

Karene Chu—Lecturer and Research Scientist, MIT

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