Georgia Institute of Technology Courses

Introduction to Engineering Mechanics

174 ratings

This course is an introduction to learning and applying the principles required to solve engineering mechanics problems. Concepts will be applied in this course from previous courses you have taken in basic math and physics.

• Coursera
• 5 weeks, 3 hours a week
• Self-Paced
• Paid Course

• Best of All Time

Computing in Python I: Fundamentals and Procedural Programming

280 ratings

Learn the fundamentals of computing in Python, including variables, operators, and writing and debugging your own programs.

• edX
• 5 weeks, 9-10 hours a week
• Self-Paced
• Free Online Course (Audit)

• Best of All Time

Computing in Python IV: Objects & Algorithms

118 ratings

Learn about recursion, search and sort algorithms, and object-oriented programming in Python.

• edX
• 5 weeks, 9-10 hours a week
• Self-Paced
• Free Online Course (Audit)

Mechanics of Materials I: Fundamentals of Stress & Strain and Axial Loading

110 ratings

Analyze how solid objects respond to axial loading: build stress-strain diagrams, apply Mohr's Circle, generalized Hooke's laws, factors of safety, and thermal effects.

• Coursera
• 6 weeks, 3 hours a week
• Self-Paced
• Paid Course

• Best of All Time

Applications in Engineering Mechanics

62 ratings

Analyze static equilibrium in real engineering structures: frames and machines, plane and space trusses, shear force and bending moment diagrams, cable supports, and Coulomb and belt friction.

• Coursera
• 5 weeks, 3 hours a week
• Self-Paced
• Paid Course

Computing in Python II: Control Structures

63 ratings

Learn about control structures, one of the most powerful parts of programming. This course covers conditionals, loops, functions, and error handling, specifically in Python but with broader applicabil

• edX
• 5 weeks, 9-10 hours a week
• Self-Paced
• Free Online Course (Audit)

Computing in Python III: Data Structures

54 ratings

Learn more complex ways of handling data, including files, lists, and dictionaries for building complex programs.

• edX
• 5 weeks, 9-10 hours a week
• Self-Paced
• Free Online Course (Audit)

Engineering Systems in Motion: Dynamics of Particles and Bodies in 2D Motion

36 ratings

Study kinematics and kinetics of particles and rigid bodies in 2D: Newton's and Euler's laws, work-energy principle, impulse-momentum, and relative velocity and acceleration equations.

• Coursera
• 7 weeks, 3 hours a week
• Self-Paced
• Paid Course

Advanced Engineering Systems in Motion: Dynamics of Three Dimensional (3D) Motion

30 ratings

Analyze rigid bodies in 3D motion: derive angular velocity and acceleration, work in moving reference frames, apply Eulerian angles, inertia tensors, and Euler equations.

• Coursera
• 6 weeks, 3 hours a week
• Self-Paced
• Paid Course

Data Structures & Algorithms I: ArrayLists, LinkedLists, Stacks and Queues

29 ratings

Work with the principles of data storage in Arrays, ArrayLists & LinkedList nodes. Understand their operations and performance with visualizations. Implement low-level linear, linked data structur

• edX
• 5 weeks, 9-10 hours a week
• Self-Paced
• Free Online Course (Audit)

Mechanics of Materials II: Thin-Walled Pressure Vessels and Torsion

27 ratings

Analyze and design thin-walled pressure vessels and shafts under torsion, covering elastic torsion of straight cylindrical shafts, inelastic torsion, and statically indeterminate torsion members.

• Coursera
• 4 weeks, 2 hours a week
• Self-Paced
• Paid Course

Mechanics of Materials IV: Deflections, Buckling, Combined Loading & Failure Theories

21 ratings

Calculate deflections of loaded structures, solve statically indeterminate beam problems, and analyze and design for column buckling, combined loading, and failure theories.

• Coursera
• 3 weeks, 3 hours a week
• Self-Paced
• Paid Course

Mechanics of Materials III: Beam Bending

20 ratings

Analyze and design beams: sketch shear force and bending moment diagrams, work through elastic and inelastic bending, and shear stresses under non-uniform loading.

• Coursera
• 6 weeks, 2 hours a week
• Self-Paced
• Paid Course

Machine Learning for Trading

14 ratings

Implement machine learning based strategies to make trading decisions using real-world data.

• Udacity
• 12 hours
• Self-Paced
• Free Online Course

Advanced Operating Systems

7 ratings

In this course, we will see all the advances that have led to the state-of-the-art operating system that we know today, covering variety of platforms -- cell phones, multi-core, parallel systems, distributed systems, and cloud computing.

• Udacity
• 30 hours
• Self-Paced
• Free Online Course