Explore the field of engineering through on-demand learning. Taught by Penn Engineering faculty in partnership with Coursera, our noncredit courses and credentials are flexible, self-paced, open to everyone – and affordable.
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Learn about the pillars of computational thinking, how computer scientists develop and analyze algorithms, and how solutions can be realized on a computer using the Python programming language.
Learn to integrate the scientific and technological principles that are necessary to assess and implement small-scale renewable energy schemes.
Earn a specialization certificate by completing the four courses listed here and paying the certificate fee.
Discover core concepts like Data Frames and joining data, and learn how to use data analysis libraries like pandas, numpy, and matplotlib. You’ll also get an overview of loading, inspecting, and querying real-world data.
Learn how to write custom Java classes and methods, and how to test code using unit testing and test-driven development. Topics include basic data structures like Arrays and ArrayLists and overloading methods.
Get a comprehensive look at Java inheritance, including access modifiers and overriding methods. Explore abstract classes and learn how to read and write to files, use regular expressions for parsing text, and how to leverage complex data structures like collections and maps.
Receive a specialization certificate if you pay for and complete all six courses.
How can we create agile micro aerial vehicles that can operate autonomously in cluttered indoor and outdoor environments? In this course you’ll explore the mechanics of flight and the design of quadrotor flying robots and learn to develop dynamic models, derive controllers, and synthesize planners for operating in 3D environments.
Robotic systems include three components: a mechanism for exerting forces and torques on the environment, a perception system for sensing the world, and a decision and control system that modulates the robot’s behavior to achieve a particular goal. In this course, you’ll explore how a robot decides what to do to achieve its goals.
How can robots use their motors and sensors to move around in an unstructured environment? Learn to design robot bodies and behaviors that recruit appendages to apply physical forces that confer reliable mobility in a complex and dynamic world.
How can robots perceive the world and their own movements so that they accomplish navigation and manipulation tasks? In this course, you will study how images and videos acquired by cameras mounted on robots are transformed into representations like features and optical flow.
How can robots determine their state and properties of the surrounding environment from noisy sensor measurements in time? In this course you will learn how to get robots to incorporate uncertainty into estimating and learning from a dynamic and changing world.
The six-week Robotics Capstone gives you the opportunity to implement a solution for a real-world problem based on what you’ve learned in the robotics specialization. It also offers a chance to use the mathematical and programming methods that researchers use in robotics labs.