8 courses from MITx ranked among Class Central’s “Best of All Time” 2021 list

8 courses from MITx ranked among Class Central’s “Best of All Time” 2021 list

MIT Open Learning

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. MIT is one of the most-represented universities on the list, which was recently expanded to 250 courses from 100 universities based on 170,000+ learner reviews.

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

1. 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 at MIT
Michelle Mischke — Instructor, Department of Biology at MIT
Graham Walker — HHMI Professor; ACS Professor of Biology at MIT
Mary Ellen Wiltrout — Director of Blended and Online Initiatives; Lecturer, Department of Biology at MIT and Digital Learning Lab Scientist, MITx

2. 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 at MIT

Tania A. Baker — HHMI Investigator; Whitehead Professor of Biology at MIT
Mary Ellen Wiltrout — Director of Blended and Online Initiatives; Lecturer, Department of Biology at MIT and Digital Learning Lab Scientist, MITx

3. Biochemistry: Biomolecules, Methods, and Mechanisms
Enhance your scientific thinking and data analysis skills with this in-depth adventure through biochemistry.

Taught by:
Michael Yaffe — David H. Koch Professor of Science; Professor of Biology and Biological Engineering; Director, MIT Center for Precision Cancer Medicine; Director, KI Clinical Investigator Program at MIT
Mary Ellen Wiltrout — Director of Blended and Online Initiatives; Lecturer, Department of Biology at MIT and Digital Learning Lab Scientist, MITx
Darcy Gordon — Instructor of Blended and Online Initiatives, Department of Biology at MIT

4. 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. (Also a 2021 MITx Prize winner!)

Taught by:
Jonathan Gruber — Ford Professor of Economics at MIT

5. 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.

Taught by:
John Tsitsiklis — Professor, Department of Electrical Engineering and Computer Science at MIT
Patrick Jaillet — Professor, Electrical Engineering and Computer Science at MIT
Dimitri Bertsekas — Professor, Electrical Engineering and Computer Science at MIT
Karene Chu — Digital Learning Scientist, MITx and research scientist at MIT

6. 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 of edX, and Professor of Electrical Engineering and Computer Science, MIT
Gerald Sussman — Professor, Electrical Engineering at MIT
Piotr Mitros — Former Chief Scientist at edX
Chris Terman — Senior Lecturer, Electrical Engineering and Computer Science at MIT
Bonnie Lam — Graduate student, Electrical Engineering and Computer Science at MIT

7. 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.

Taught by:
John Guttag — Dugald C. Jackson Professor of Computer Science and Electrical Engineering at MIT
Eric Grimson — Bernard Gordon Professor of Medical Engineering, Professor of Computer Science at MIT
Ana Bell — Lecturer, Computer Science and Electrical Engineering at MIT

8. Introduction to Computational Thinking and Data Science
This course 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 at MIT
Eric Grimson — Bernard Gordon Professor of Medical Engineering, Professor of Computer Science at MIT
Ana Bell — Lecturer, Computer Science and Electrical Engineering at MIT and Digital Learning Lab Scientist, MITx


8 courses from MITx ranked among Class Central’s “Best of All Time” 2021 list was originally published in MIT Open Learning on Medium, where people are continuing the conversation by highlighting and responding to this story.

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