

Our Courses

Robotics: Aerial Robotics
How can we create agile micro aerial vehicles that are able to operate autonomously in cluttered indoor and outdoor environments? You will gain an introduction to the mechanics of flight and the design of quadrotor flying robots and will be able to develop dynamic models, derive controllers, and synthesize planners for operating in three dimensional environments. You will be exposed to the challenges of using noisy sensors for localization and maneuvering in complex, three-dimensional environments.
-
Course by
-
Self Paced
-
18 hours
-
English

Battery State-of-Charge (SOC) Estimation
This course can also be taken for academic credit as ECEA 5732, part of CU Boulder’s Master of Science in Electrical Engineering degree. In this course, you will learn how to implement different state-of-charge estimation methods and to evaluate their relative merits.
-
Course by
-
Self Paced
-
28 hours
-
English

Equivalent Circuit Cell Model Simulation
This course can also be taken for academic credit as ECEA 5731, part of CU Boulder’s Master of Science in Electrical Engineering degree. In this course, you will learn the purpose of each component in an equivalent-circuit model of a lithium-ion battery cell, how to determine their parameter values from lab-test data, and how to use them to simulate cell behaviors under different load profiles.
-
Course by
-
Self Paced
-
28 hours
-
English

MATLAB and Octave for Beginners
Learn MATLAB and Octave and start experimenting with matrix manipulations, data visualizations, functions and mathematical computations.
-
Course by
-
Self Paced
-
44
-
English

Battery Pack Balancing and Power Estimation
This course can also be taken for academic credit as ECEA 5734, part of CU Boulder’s Master of Science in Electrical Engineering degree. In this course, you will learn how to design balancing systems and to compute remaining energy and available power for a battery pack.
-
Course by
-
Self Paced
-
23 hours
-
English

Battery State-of-Health (SOH) Estimation
This course can also be taken for academic credit as ECEA 5733, part of CU Boulder’s Master of Science in Electrical Engineering degree. In this course, you will learn how to implement different state-of-health estimation methods and to evaluate their relative merits.
-
Course by
-
Self Paced
-
23 hours
-
English