2.086: Numerical Computation for Mechanical Engineers
Class Information
Fall, Spring | Undergraduate | 12 Units | Prereq: Calculus II (GIR) and Physics I (GIR); Coreq: 2.087 or 18.03
Covers elementary programming concepts, including variable types, data structures, and flow control. Provides an introduction to linear algebra and probability. Numerical methods relevant to MechE, including approximation (interpolation, least squares, and statistical regression), integration, solution of linear and nonlinear equations, and ordinary differential equations. Presents deterministic and probabilistic approaches. Uses examples from MechE, particularly from robotics, dynamics, and structural analysis. Assignments require MATLAB programming. Enrollment may be limited due to laboratory capacity; preference to Course 2 majors and minors.
Instructor Information
Nicolas Hadjiconstantinou (Fall)
Professor; Co-Director, Computation for Design and Optimization; Co-Director, Computational Science and Engineering; Co-Director, Center for Computational Engineering; Graduate Officer
Interest Areas
- Kinetic transport for small-scale fluid flow and solid-state heat transfer applications
- Molecular and stochastic simulation of nanoscale transport phenomena
- Molecular and multiscale simulation method development
