Course 10-ENG: Bachelor of Science in Engineering with Concentration
Computation has become an increasingly important tool in engineering. Today computational techniques are more effective and less expensive than experiments for the solution of many engineering problems, and are useful complements to experiments for most of the remaining problems. Computation is commonly used to provide insights that go beyond purely experimental studies. This concentration covers fundamental concepts, techniques, tools, and applications of engineering computation.
Note: By taking the right courses, students can get the CS minor by taking three additional courses (6.006, 6.009, and a course from the advanced list at https://www.eecs.mit.edu/csminor).
Students in this concentration are required to take four subjects from four categories. Although not required, students are encouraged to take
10.34 Numerical Methods Applied to Chemical Engineering
as one of their technical electives.
A. Introduction to Programming
|6.00 or||Introduction to Computer Science and Programming||12||REST|
|6.0001||Introduction to Computer Science Programming in Python||6|
B. Computational Mathematics (select at least one)
|6.042J||Mathematics for Computer Science||12||REST||Calculus I (GIR)|
|18.200/18.200A||Principles of Discrete Applied Mathematics||15/12|
C. Introduction to Applications (select at least one)
|6.01||Introduction to EECS via Robotics||12||LAB||6.0001 or permission of instructor|
|6.02||Introduction to EECS via Communications Networks||12||LAB||6.0001|
|6.03||Introduction to EECS via Medical Technology||12||LAB||Calculus II (GIR) and Physics II (GIR)|
|6.08||Introduction to EECS via Interconnected Embedded Systems||12||LAB|
D. Computational Engineering (select at least one)
|2.086||Numerical Computation for Mechanical Engineers||12||REST||Calculus II (GIR) and Physics I (GIR)|
|18.085||Computational Science and Engineering I||12||Calculus II (GIR) and (18.03 or 18.032)|
|18.086||Computational Science and Engineering II||12||Calculus II (GIR) and (18.03 or 18.032)|
Approved Graduate Subject Alternatives
|2.097[J]||Numerical Methods for Partial Differential Equations||12||18.03 or 18.06|
|10.34||Numerical Methods Applied to Chemical Engineering||9||Permission of instructor|