DIY Crash Course

Motorcycle Engineering : Crash Course

How does Car Works?

Adams Car : How to do Analysis of BAJA Buggies

AutomotiveMechanical : CAD / CAM / CAEAeronauticsRoboticsElectricals / ElectronicsCivil / Infrastructure / MiningBiotechnologyBusiness & Management
  1. Design Fundamentals of BAJA SAE BuggyLearn how to build an Off-Terrain Vehicle / ATV in this hands-on project-based course.
  2. How to guide for FSAE Racing Compete. ( Starting Dec. 2016 )
  3. SHELL ECO MARATHON ( Starting Dec. 2016 )
  4. Fundamentals of Vehicle Dynamics
  5. Ten Things Every Engineer Should Know About Materials Science (University of California)
  1. Innovation and Competition: Succeeding through Global Standards 
  2. Introduction to Steel: Explore the science, history, industrial and cultural significance of steel.
  3. MATLAB
  4. 3D AUTO CAD
  5. CATIA
  6. PRO-E
  7. ANSYS
  8. SOLID WORKS
  9. ADAMS
  10. HYPERWORKS
  11. MSC NASTRAN – Multidisciplinary Structural Analysis ( Starting Feb. 2017 )
  1. From Goddard to Apollo: The History of Rockets (IEEE)
  2. Flight Vehicle Aerodynamics : Discover the concepts, theories, models, and methods used in the aerodynamic analysis and design of modern aircraft.
  3. Introduction to Aerodynamics : Discover the basic fluid dynamic concepts behind aircraft analysis and design.
  4. Design Fundamentals for SAE AERO Competition
  5. How to guide for DRONE RACING Competition
  6. Introduction to Aeronautical Engineering 
  7. Hypersonics – from Shock Waves to Scramjets
  1. Solar Energy: Discover the power of solar energy and learn how to design a complete photovoltaic system.
  2. Smart Grids: Electricity for the Future : IEEE Course
  3. Embedded Systems – Shape The World : Build real-world embedded solutions using a bottom-up approach from simple to complex in this hands-on, lab-based course.
  4. Real-Time Bluetooth Networks – Shape the World  : Learn the design fundamentals of a real-time operating system (RTOS) and how to build a Bluetooth network in this hands-on project-based course.
  5. AP® Computer Science Principles
  6. 6.002.1x: Circuits and Electronics 1: Basic Circuit Analysis ( Massachusetts Institute of Technology via edX )
  7. Circuits and Electronics 2: Amplification, Speed, and Delay ( Massachusetts Institute of Technology via edX )
  8. Circuits and Electronics 3: Applications ( Massachusetts Institute of Technology via edX )
  9. Discrete-Time Signal Processing ( Massachusetts Institute of Technology via edX )
  10. Enabling Technologies for Data Science and Analytics: The Internet of Things
  1. The Next Generation of Infrastructure ( Delft University of Technology via edX )
  2. The Business of Mining : Learn the theory behind running a mine and see if you’ve got what it takes to explore, plan, operate and close a mining operation.
  1. Leadership for Engineers : Learn how to effectively lead in a technology-driven world, define your personal leadership journey, and make your career choices.
  2. Effective Thinking Through Mathematics 
  3. Circular Economy : Learn how to design various structures of a biobased supply-chain
  4. Linear Algebra – Foundations to Frontiers
  5. Statistical Thinking for Data Science and Analytics (Columbia University)
  6. Foundations of Data Analysis – Part 1: Statistics Using R
  7. Foundations of Data Analysis – Part 2: Inferential Statistics
  8. Introduction to Computer Science
  9. Age of Globalization (University of Texas)
  10. Ideas of the Twentieth Century : Learn how philosophy, art, literature, and history shaped the last century and the world today.
  11. Enterprise Software Lifecycle Management
  12. Framing: How Politicians Debate
  13. Communication Courses: Learn about communication and more from the best universities and institutions around the world.

 

 

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