STEM Courses and Certifications

Career Certificate

Transformative Leadership in the Circular Economy

Master circular economy principles, sustainable marketing strategies, and leadership skills to drive transformative change in any industry or role.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 3 courses

Advanced Strategies for Sustainable Business

Master advanced sustainability strategies to integrate environmental practices into business operations, measure performance, and develop human capital while fostering stakeholder partnerships and ethical leadership.

• Coursera
• 6 hours 3 minutes
• Self-Paced
• Paid Course

Design of HVAC Distribution and Delivery Systems

Master HVAC distribution system design for air and water delivery, thermal comfort, heat exchangers, and fan/pump selection in building energy systems.

• Coursera
• 1 day 8 hours 11 minutes
• Self-Paced
• Paid Course

Advanced Capstone Spacecraft Dynamics and Control Project

Explore spacecraft dynamics with a hinged panel, deriving equations of motion and applying control solutions to manage rotational response and panel oscillations during reorientation maneuvers.

• Coursera
• 16 hours 25 minutes
• Self-Paced
• Paid Course

Introduction to Bayesian Statistics for Data Science

Explore the theoretical foundations of Bayesian statistics and apply them to data science problems, covering probability theory, Bayes' theorem, prior distributions, practical applications, and ethical considerations.

• Coursera
• 1 day 13 hours 29 minutes
• Self-Paced
• Paid Course

Solar Power Sensors

Explore the world of solar energy, from panel technology to power generation components, and discover how sensors maximize efficiency in solar farms.

• Coursera
• 1 day 3 hours 28 minutes
• Self-Paced
• Paid Course

Universal Theories

Explore universality, renormalization group, and band theory in condensed matter physics. Gain insights into metals, insulators, and the quasiparticle concept.

• Coursera
• 13 hours 47 minutes
• Self-Paced
• Paid Course

Teaching Electricity and Magnetism with PhET Simulations

Discover effective teaching strategies using PhET's interactive simulations to make electricity and magnetism concepts engaging and accessible for students.

• Coursera
• 1 day 9 hours 42 minutes
• Self-Paced
• Paid Course

Spacecraft Relative Motion Control

Learn advanced nonlinear control techniques for spacecraft relative motion, including Lyapunov's method, feedback strategies, and reference motion creation. Ideal for engineers and students with strong math and physics backgrounds.

• Coursera
• 23 hours 48 minutes
• Self-Paced
• Paid Course

Engineering Genetic Circuits: Abstraction Methods

Learn techniques for simplifying and analyzing genetic circuit models, including reaction-based abstraction, piecewise approximations, Markov chains, state-based abstraction, and stochastic model checking.

• Coursera
• 17 hours 49 minutes
• Self-Paced
• Paid Course

Spacecraft Formation Flying and Control Capstone Project

Develop, simulate, and study safe approaches to tumbling space debris, from long-range maneuvers to final non-Keplerian motion control in the debris body-fixed frame.

• Coursera
• 19 hours 48 minutes
• Self-Paced
• Paid Course

Electrification of Building Energy Systems

Explore electrification strategies for buildings, focusing on heat pump technologies, grid integration, and decarbonization methods to eliminate fossil fuels.

• Coursera
• 1 day 7 hours 3 minutes
• Self-Paced
• Paid Course

Model Checking with SAT and SMT

Master SAT and SMT solving fundamentals for model checking, covering CDCL algorithms, bounded verification, and theory-specific solvers in practical scenarios.

• Coursera
• 9 hours 50 minutes
• Self-Paced
• Paid Course

Fundamentals of Orbit Determination

Master the mathematical foundations of orbit determination, including force models, measurement Jacobians, uncertainty propagation, and state augmentation for real-world spacecraft missions.

• Coursera
• 5 weeks, 8 hours a week
• Self-Paced
• Paid Course

Computational Bayesian Statistics for Data Science

Master Bayesian statistical methods with computational algorithms like MAP estimation, MCMC, Gibbs sampling, and Metropolis-Hastings, while gaining hands-on Stan experience for real-world data science.

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