Math Boot Camp for Engineers
An intensive review of undergraduate-level mathematics for prospective and beginning graduate students in science and engineering.
Math Boot Camp for Engineers
An intensive review of undergraduate-level mathematics for prospective and beginning graduate students in science and engineering.
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.
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
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Professor of Chemical Engineering & Mathematics -
Professor of Chemical Engineering -
Assistant Professor of Chemical Engineering & Electrical Engineering and Computer Science -
Lecturer & Digital Learning Scientist in Chemical Engineering
Martin Bazant
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.
Bradley D. Olsen
Bradley D. Olsen
Professor of Chemical Engineering
Professor of Chemical Engineering with research specialization in polymer science, soft materials, and bio-based polymers. Research combines chemical and biochemical synthesis, advanced characterization, and modeling to design novel soft materials and polymer systems. Strong track record of collaboration with polymer, rubber/elastomers, biomedical materials, and cosmetics industries.
Connor Coley
Connor Coley
Assistant Professor of Chemical Engineering & Electrical Engineering and Computer Science
Connor received his B.S. in Chemical Engineering from Caltech and his Ph.D. in Chemical Engineering MIT. His research interests are in how data science and laboratory automation can be used to streamline discovery in the chemical sciences.
Joey Gu
Joey Gu
Lecturer & Digital Learning Scientist in Chemical Engineering
Joey Gu is a Lecturer and a Digital Learning Scientist in the Department of Chemical Engineering at MIT. He works with faculty to create digital learning content for use in residential classes as well as in Massive Open Online Courses and Small Private Online Courses. Joey received his Ph.D. in Chemical Engineering from MIT in 2019 working on models of multiphase flow in porous media, and a B.E.(Hon) in Chemical and Materials Engineering from the University of Auckland in 2013.