Hands On Training

Computational Thinking for Modeling and Simulation

Massachusetts Institute of Technology

via

edX

Course Features

Duration

9 weeks

Delivery Method

Online

Available on

Limited Access

Accessibility

Mobile, Desktop, Laptop

Language

English

Subtitles

English

Level

Intermediate

Effort

5 hours per week

Teaching Type

Instructor Paced

Course Description

Computational thinking is becoming widely recognized as a skill necessary for every educated person in a technologically advanced society.

We will focus on just a subset of computational thinking which concerns creating models of the physical world ; something that engineers frequently need to do. Because of that choice, this course covers many topics normally viewed as within the domain of mathematics such as algebra and calculus, but the solution procedures are algorithmic rather than symbolic.

Course Overview

Live Class

Human Interaction

Personlized Teaching

International Faculty

Post Course Interactions

Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Algebra

Calculus

What You Will Learn

Carry out a few simple methods for numerical integration

Implement procedures for numerical differentiation

Select and implement methods for interpolation and understand their consequences for convergence of model results as discretization is refined.

Write programs to solve systems of equations, both linear and non-linear

Course Content

Expand all sections

Module 1: What is Computational Thinking? (representation, discretization, error, decomposition, verification)

Module 2: Interpolation (building simple surrogates for more complex functions)

Module 3: Integration (processes for numerical quadrature)

Module 4: Randomness (generating and using pseudorandom variables in models)

Course Instructors

Ali Talebinejad

Lecturer of Mechanical Engineering Department at Massachusetts Institute of Technology

Ali Talebinejad has done his PhD at MIT Artificial Intelligence Laboratory in the area of Robotics and Computer Vision and has received his MS from MIT in the area of System Dynamics and Control. His...

Daniel Frey

Professor of Mechanical Engineering Department; MIT D-Lab Faculty Research Director at Massachusetts Institute of Technology

Daniel Frey is a Professor of Mechanical Engineering at MIT. Prof. Frey’s research is in the field called “robust design” -- a set of engineering practices which help to ensure that engineering syste...