EdX

Elements of Structures (edX)

Offered by MIT, MITx,
Elements of Structures (edX)

An introductory course on statics and on the mechanical behavior of deformable structural elements like beams, shafts and rods. 2.01x introduces principles of structural analysis and strength of materials in applications to three essential types of load-bearing elements: bars in axial loading, axisymmetric shafts in torsion, and symmetric beams in bending.

Class Deals by MOOC List - Click here and see EdX's Active Discounts, Deals, and Promo Codes.

The course covers fundamental concepts of continuum mechanics, including internal resultants, displacement fields, stress, and strain.
While emphasizing analytical techniques, the course also provides an introduction to computing environments (MATLAB) and numerical methods (Finite Elements).

This course is based on the first subject in solid mechanics for MIT Mechanical Engineering students. Join them and learn how to predict linear elastic behavior, and prevent structural failure, by relying on the notions of equilibrium, geometric compatibility, and constitutive material response.
What you'll learn:

  • to calculate internal stress and strain fields in loaded structures
  • to predict the deformation of loaded structures
  • to design structural elements so as to prevent failure
  • to use numerical methods (MATLAB) in structural engineering application
  • to use a Finite Element interface to explore more complex structural behavior
Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Engineering of Structures: Tension and Compression (Coursera) Coursera
Dartmouth College

Engineering of Structures: Tension and Compression (Coursera)

This course deals with tension and compression. After going through this course, you will understand why tensegrity structures and sculptures are different from other structures. You will also explore tension and compression in different types of trusses. Additionally you will understand determinacy and realize how it applies to trusses.

Sep 14th 2026
3 Weeks
Monetary Policy Analysis and Forecasting (edX) EdX
International Monetary Fund - IMF,IMFx

Monetary Policy Analysis and Forecasting (edX)

Learn about the macroeconomic motivation of the quarterly projection model (QPM), its key properties, model calibration, data filtration, and how to implement the QPM in MATLAB software in order to learn and understand practical model building and model operation as it is usually done in central banks. This online course, presented by the IMF's Institute for Capacity Development, introduces participants to quarterly projection macroeconomic models developed as a core of FPAS (Forecasting and Policy Analysis Systems) and how to implement the key canonical quarterly projection model (QPM) equations in a macroeconomic modeling software.

Self Paced
Self-Paced
Stability and Design of Structural Members (edX) EdX
Purdue University,PurdueX

Stability and Design of Structural Members (edX)

Learn fundamental concepts of buckling analysis and design of structural members for stability concerns for beam and column elements. Buckling can be a controlling limit state for many structural elements. This course will cover the intersection of buckling and member design – specifically the behavior of columns and beam elements.

No sessions available
5-12 Weeks
Probabilistic Graphical Models 1: Representation (Coursera) Coursera
Stanford University

Probabilistic Graphical Models 1: Representation (Coursera)

Probabilistic graphical models (PGMs) are a rich framework for encoding probability distributions over complex domains: joint (multivariate) distributions over large numbers of random variables that interact with each other. These representations sit at the intersection of statistics and computer science, relying on concepts from probability theory, graph algorithms, machine learning, and more. They are the basis for the state-of-the-art methods in a wide variety of applications, such as medical diagnosis, image understanding, speech recognition, natural language processing, and many, many more. They are also a foundational tool in formulating many machine learning problems.

Sep 28th 2026
5-12 Weeks
MATLAB et Octave pour débutants (edX) EdX
École Polytechnique Fédérale de Lausanne,EPFLx

MATLAB et Octave pour débutants (edX)

Premiers pas dans MATLAB et Octave avec un regard vers le calcul scientifique. Commencer à utiliser un logiciel est toujours délicat, on ne sait jamais par où commencer. Dans ce cours nous allons nous concentrer sur la maîtrise d’Octave et MATLAB, de façon à pouvoir par la suite continuer à apprendre de manière indépendante.

Self Paced
Self-Paced
Structure of Materials (edX) EdX
MIT,MITx

Structure of Materials (edX)

Discover the structure of the materials that make up our modern world and learn how this underlying structure influences the properties and performance of these materials. Structure determines so much about a material: its properties, its potential applications, and its performance within those applications. This course from MIT’s Department of Materials Science and Engineering explores the structure of a wide variety of materials with current-day engineering applications.

No sessions available
13-24 Weeks
Engineering of Structures: Compression (Coursera) Coursera
Dartmouth College

Engineering of Structures: Compression (Coursera)

This course deals with compression. When we push an object, it compresses. Compression is what's going to hold up our building. Arches, vaults, domes, and anti-funicular forms help resist compression. In this course, you will learn about different columns and arches and their role in resisting compression. You'll also build anti-funicular forms.

Sep 14th 2026
3 Weeks
Data Analysis and Visualization (Coursera) Coursera
University at Buffalo,The State University of New York

Data Analysis and Visualization (Coursera)

By the end of this course, learners are provided a high-level overview of data analysis and visualization tools, and are prepared to discuss best practices and develop an ensuing action plan that addresses key discoveries. It begins with common hurdles that obstruct adoption of a data-driven culture before introducing data analysis tools (R software, Minitab, MATLAB, and Python). Deeper examination is spent on statistical process control (SPC), which is a method for studying variation over time. The course also addresses do’s and don’ts of presenting data visually, visualization software (Tableau, Excel, Power BI), and creating a data story.

Sep 14th 2026
4 Weeks