Math Boot Camp for Engineers
An intensive review of undergraduate-level mathematics for prospective and beginning graduate students in science and engineering.
Course Information
Learn for Free
About this Course
Are you pursuing advanced studies in science or engineering? If so, a solid mastery of core undergraduate-level mathematical skills will be essential to your success.
At MIT, we observe that students enter our graduate program with a range of mathematical backgrounds. Thus, we have created the self-paced online course Math Boot Camp for Engineers to help our own MIT Engineering students self-diagnose and brush up on math topics that are commonly taught in an undergraduate science or engineering curriculum. We would now like to open this online course to you, too, on MITx Online.
What is unique about the Math Boot Camp is that it is designed for efficient review. There are hundreds of practice problems with detailed solutions, complemented by videos and worked examples to jog your memory, as well as diagnostic problems to assess your mastery of specific skills.
In the summer of 2021, an early version of the Math Boot Camp was offered as a Small Private Online Course to beginning Chemical Engineering graduate students at eight peer US institutions including Stanford, CalTech, University of Minnesota, etc.. The students who participated remarked that the course helped them prepare for their graduate studies.
Math Boot Camp for Engineers is best suited for prospective and beginning graduate students in STEM disciplines.
What you'll learn
Intensive review of:
- Single- and multivariable calculus
- Ordinary differential equations
- Linear algebra
- Series
- Probability and statistics
Prerequisites
This course is intended for efficient review and is not recommended for first-time learning. Prior undergraduate mathematics course work found in a typical science or engineering curriculum is expected.
Meet your instructors
Martin Bazant
Professor of Chemical Engineering & Mathematics
After a PhD in Physics at Harvard University (1997), Professor Bazant first joined the MIT faculty in Mathematics (1998) and then in Chemical Engineering (2008), where he has served as Executive Officer (2016-2020) and now as the first Digital Learning Officer. His online teaching innovations in 10.50.1x have been recognized by the MITx Prize for Teaching and Learning in MOOCs and a finalist for the Edx Prize. His research combines mathematical theory with computation and experiments in electrochemical systems, electrokinetics, and transport phenomena. His honors and awards include the 2015 Alexander Kuznetsov Prize in Theoretical Electrochemistry (ISE), the 2018 Andreas Acrivos Award for Professional Progress in Chemical Engineering (AIChE), numerous distinguished lectureships and chairs, and Fellow status in the American Physical Society, the International Electrochemical Society, and the Royal Society of Chemistry. He also consults extensively for industry and serves as the Chief Scientific Advisor for Saint Gobain North America.
