Learning Python to Solve Engineering Problems

In this course, you’ll learn to solve thermal energy problems like a mechanical engineer as you develop your own Python code to model temperature changes when food is cooked and predict when it reaches a temperature that is safe for consumption. This work is conducted every day by companies such as Proctor & Gamble, NASA, and Tesla.

Self-driving technology: Guidance, Navigation,
and Controls

In this course, you’ll explore the foundations of guiding, navigating, and controlling things in a 3D world. Coursework will include hands-on examples of the underlying principles in self-driving cars.

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Deep Learning: Deploying AI to Maintain Smart Cities

In this course, you’ll use Python to design and implement a neural network algorithm capable of classifying structure images as damaged and determine the level of damage. Work like this is essential to civil engineers in charge of designing, constructing, and maintaining highways, bridges, and other important infrastructure.

Learning C++ for Human Spaceflight Engineering

In this course, you’ll study the concepts of fluid mechanics that allow scientists to design smaller, faster, and more economical rockets. Then, you’ll work on your programming skills in C++ to put these concepts to life as you test rocket design parameters and the effect of spaceflight on the human body.

Robotic Engineering II: Adding Sensors for your Robot to See, Hear Feel, and Smell

Future engineers who want to work with robots often think of humanoid robots. In this course, you will learn how to allow your robot to see, hear, feel and even smell. ( Students do not need to take Robotics I in order to take Robotics II. )

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Robotic engineering: Adding Robot Muscles to Your Inventive Ideas

In this course, you’ll focus on design and use of electric motors in automation (including robots). The course will explore motor types and how to select the right type for the application.

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Internet of Things, Machine Learning, & Python

In this course, you’ll study different Applied Machine Learning concepts, code examples in Python and MySQL, and deploy your code for testing. You’ll walk away from this course understanding how technology is applied in multiple different industries.

3D Modeling & 3D Printing

In this course, you’ll learn how to design a 3D environment and how to prepare files for DFaM (design for additive manufacturing). You’ll design and build your own, unique 3D model and watch it come to life in the 3D printer.

Data Detectives: Data Science in Consumer Markets

In this course, you’ll learn how machine learning and statistics predict how consumer markets perform. You’ll use R programming to visualize and analyze data and gain hands-on experience in understanding how technology companies are using data to transform our world.