University of Colorado Boulder Courses

Motors and Motor Control Circuits

1427 ratings at Coursera

Explore AC and DC motor principles, specifications, and control systems. Gain hands-on experience with motor selection, integration, and microprocessor-based control through practical lab exercises and projects.

• Coursera
• 1 day 12 hours 18 minutes
• Self-Paced
• Paid Course

Introduction to Embedded Systems Software and Development Environments

654 ratings at Coursera

Gain hands-on experience with ARM microcontrollers, embedded software development, and build systems. Learn version control, Linux programming, and memory manipulation through practical projects.

• Coursera
• 9 hours 1 minute
• Self-Paced
• Paid Course

Semiconductor Physics

301 ratings at Coursera

Explore quantum theory, carrier behavior, and conduction in semiconductors. Gain insights into energy bands, carrier statistics, and dynamics for electronic device applications.

• Coursera
• 14 hours 58 minutes
• Self-Paced
• Paid Course

Print and Digital Elements of Design: Branding and User Experience

273 ratings at Coursera

Explore branding and user experience through print and digital design elements, enhancing your skills in creating cohesive visual identities across various mediums.

• Coursera
• 9 hours 36 minutes
• Self-Paced
• Paid Course

Graphic Elements of Design: Color Theory and Image Formats

596 ratings at Coursera

Explore color theory, image types, and logo design for effective print and digital projects. Learn to combine images with typography and create impactful visual elements.

• Coursera
• 12 hours 7 minutes
• Self-Paced
• Paid Course

Textual Elements of Design: Fonts, Typography, and Spacing

292 ratings at Coursera

Explore typography's history, fonts, spacing, and design programs to enhance visual storytelling and create impactful graphic designs.

• Coursera
• 12 hours 39 minutes
• Self-Paced
• Paid Course

Quantum Mechanics

746 ratings at Coursera

Explore quantum mechanics for engineers, covering Schrödinger's equation, simple solutions, and real atomic/molecular behavior. Gain insights into quantum chemistry and numerical methods.

• Coursera
• 5 hours 40 minutes
• Self-Paced
• Paid Course

Transforming Communities

59 ratings at Coursera

This course focuses on communities and organizations in transition, and using the skills and new knowledge you have to lead change.

• Coursera
• 7 hours 35 minutes
• Self-Paced
• Paid Course

Algorithms for Searching, Sorting, and Indexing

540 ratings at Coursera

This course covers basics of algorithm design and analysis, as well as algorithms for sorting arrays, data structures such as priority queues, hash functions, and applications such as Bloom filters.

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

Trees and Graphs: Basics

189 ratings at Coursera

Basic algorithms on tree data structures, binary search trees, self-balancing trees, graph data structures and basic traversal algorithms on graphs. This course also covers advanced topics such as kd-trees for spatial data and algorithms for spatial data.

• Coursera
• 1 day 10 hours 5 minutes
• Self-Paced
• Paid Course

The credits earned from the Semiconductor Photonics Graduate Certificate can count toward the Master of Science in Electrical Engineering degree.

• Coursera
• 24-48 weeks
• Self-Paced
• Paid Course

Approximation Algorithms and Linear Programming

61 ratings at Coursera

Explore linear and integer programming for optimal solutions in resource allocation, scheduling, and task assignment. Learn approximation algorithms for NP-hard problems with guaranteed performance bounds.

• Coursera
• 1 day 22 hours 18 minutes
• Self-Paced
• Paid Course

Advanced Data Structures, RSA and Quantum Algorithms

66 ratings at Coursera

Explore number-theory cryptography, quantum algorithms, and advanced data structures. Learn RSA, Grover's search, Shor's algorithm, B-Trees, and Tries for practical applications in computer science.

• Coursera
• 1 day 20 hours 46 minutes
• Self-Paced
• Paid Course

Career Certificate

Foundations of Data Structures and Algorithms

1 rating

Explore fundamental data structures and algorithms for efficient data processing, focusing on sorting, searching, indexing, trees, and graphs. Ideal for programmers interested in handling large datasets.

• Coursera
• 13 weeks, 9 hours a week
• Self-Paced
• Paid Course
• 3 courses

Dynamic Programming, Greedy Algorithms

267 ratings at Coursera

Explore algorithm design techniques like divide-and-conquer, dynamic programming, and greedy algorithms. Learn about intractability and optimization problem-solving using linear/integer programming solvers.

• Coursera
• 1 day 14 hours 15 minutes
• Self-Paced
• Paid Course