- JavaScript 4 Python Programmers
- AP CS Principles - Student Edition
- AP CSP - Teacher
- AP CSA Java Review
- C++ for Python Programmers
- Problem Solving with Algorithms and Data Structures using C++
- AP CS Awesome
- Foundations of Python Programming
- How to Think Like a Data Scientist
- Runestone Interactive Overview
- Java for Python Programmers
- Learn Computer Graphics using WebGL
- Runestone Interactive Overview
- Problem Solving with Algorithms and Data Structures
- Solución de problemas con algoritmos y estructuras de datos
- How to Think like a Computer Scientist: Interactive Edition
- Fundamentals of Web Programming
This course introduces students to probability and random variables. Topics include distribution functions, binomial, geometric, hypergeometric, and Poisson distributions. The other topics covered are uniform, exponential, normal, gamma and beta distributions; conditional probability; Bayes theorem; joint distributions; Chebyshev inequality; law of large numbers; and central limit theorem.
This course explores electromagnetic phenomena in modern applications, including wireless and optical communications, circuits, computer interconnects and peripherals, microwave communications and radar, antennas, sensors, micro-electromechanical systems, and power generation and transmission. Fundamentals include quasistatic and dynamic solutions to Maxwell's equations; waves, radiation, and diffraction; coupling to media and structures; guided waves; resonance; acoustic analogs; and forces, power, and energy.