University of Colorado Boulder Courses

Predictive Modeling and Analytics

607 ratings at Coursera

Build predictive models in Excel with XLMiner: explore and visualize datasets, fit regression and logistic regression, and grow trees and neural networks using cross-validation and ROC curves.

• Coursera
• 4 weeks, 3 hours a week
• Self-Paced
• Paid Course

Motors and Motor Control Circuits

1428 ratings at Coursera

Specify and integrate AC and DC motors: read torque-speed curves, wire variable speed drives, drive stepper motors, and build motor control circuits with rotary sensor feedback.

• Coursera
• 5 weeks, 7 hours a week
• Self-Paced
• Paid Course

Dynamic Programming, Greedy Algorithms

278 ratings at Coursera

Design algorithms with divide and conquer, dynamic programming, and greedy strategies: Karatsuba, Strassen, FFT, longest common subsequence, knapsack, Huffman codes, plus NP-completeness and integer programming.

• Coursera
• 4 weeks, 10 hours a week
• Self-Paced
• Paid Course

Algorithms for Searching, Sorting, and Indexing

544 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
• 4 weeks, 9 hours a week
• Self-Paced
• Paid Course

Trees and Graphs: Basics

192 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
• 4 weeks, 9 hours a week
• Self-Paced
• Paid Course

Introduction to Embedded Systems Software and Development Environments

658 ratings at Coursera

Build embedded software for ARM-based microcontrollers: create a GCC and GNU Make build system, use Git version control, and write memory-manipulating firmware on a Linux virtual machine.

• Coursera
• 4 weeks, 2 hours a week
• Self-Paced
• Paid Course

Transforming Communities

60 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
• 3 weeks, 3 hours a week
• Self-Paced
• Paid Course

Semiconductor Physics

306 ratings at Coursera

Analyze carrier behavior in semiconductors: energy band structures, Fermi-Dirac carrier statistics, drift and diffusion currents, mobility and velocity saturation, and Shockley-Read-Hall and Auger recombination.

• Coursera
• 4 weeks, 4 hours a week
• Self-Paced
• Paid Course

Print and Digital Elements of Design: Branding and User Experience

275 ratings at Coursera

Prepare designs for print and screen: printing terms, paper options, print-specific software features, converting image sizes for websites and social media, and keeping user experience in mind.

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

Graphic Elements of Design: Color Theory and Image Formats

598 ratings at Coursera

Distinguish CMYK, RGB, Pantone and hex color systems, tell raster from vector image files, convert image colors, and design a color advertisement.

• Coursera
• 3 weeks, 4 hours a week
• Self-Paced
• Paid Course

Textual Elements of Design: Fonts, Typography, and Spacing

293 ratings at Coursera

Learn to choose and pair typefaces: typography history, typeface anatomy, font hierarchy, alignment, leading, tracking and kerning, applied to a brochure or postcard design.

• Coursera
• 4 weeks, 3 hours a week
• Self-Paced
• Paid Course

Quantum Mechanics

751 ratings at Coursera

Derive the Schrodinger wave equation from postulates and solve it for the particle in a box, rigid rotator, harmonic oscillator, and hydrogenic atom.

• Coursera
• 3 weeks, 2 hours a week
• 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

67 ratings at Coursera

Formulate scheduling, knapsack and TSP problems as linear and integer programs in Python with Pulp, and design approximation algorithms with provable factor guarantees.

• Coursera
• 4 weeks, 12 hours a week
• Self-Paced
• Paid Course

Advanced Data Structures, RSA and Quantum Algorithms

70 ratings at Coursera

Build RSA public key cryptography from number theory, run quantum algorithms like Grover's and Shor's with Qiskit, and master B-trees and suffix tries.

• Coursera
• 4 weeks, 11 hours a week
• Self-Paced
• Paid Course