Precalculus 2: Polynomials and rational functions
The Algebra 2 topics of polynomials and rational functions, preparing for studies of Calculus
Precalculus 1: Basic notions
A solid preparation for Calculus, with elements of Discrete Mathematics: logic, sets, functions, relations, and proofs
Linear Algebra and Geometry 1
Systems of equations, matrices, determinants, vectors, and geometry of straight lines and planes in the 3-space
Discrete Mathematics 1
Your first course in DM and mathematical literacy: logic, sets, proofs, functions, relations, and intro to combinatorics
Discrete Mathematics 2
Your second course in DM: combinatorics (cont. from DM1), Number Theory, modular arithmetic, and algebraic structures
Introduction to Welding Technologies and Processes
Your First Steps Toward Understanding Welding Terminology and Concepts
Reliability Engineering Statistics (2026)
Reliability Engineering Statistics: Probability, SPC, Hypothesis Testing, Distributions and Data Analysis Essentials
Understanding Engineering Drawings
How Technical Information is Conveyed from Engineers and Designers to Manufacturing and Supply Chain Professionals
TI TMS320F28379D Microcontroller for Power Electronics
Using the dual CPU LAUNCHXL-F28379D for PWMs, ADCs and timers
Python for Mechanical Engineers
Learn Python to solve problems in mechanical fields.
Become A Certified SOLIDWORKS Associate (CSWA) Course
How To Pass SOLIDWORKS CSWA Exam In 10 Days Without Experience With This BESTSELLING Course – Exams Included!
Generative AI for Data Analytics
Learn how to use ChatGPT to analyze data, and to build expertise in data science, math, coding, and statistics
PCA & multivariate signal processing, applied to neural data
Learn and apply cutting-edge data analysis techniques for "big neurodata" (theory and MATLAB/Python code)
Generative AI for academic and scientific writing mastery
Leverage ChatGPT for precision writing, enhanced communication, and accelerated academic performance
Master statistics using R: Coding, concepts, applications
Learn R, data analysis, visualization, inference, and regression through real-world statistical practice.
Master statistics & machine learning: intuition, math, code
A rigorous and engaging deep-dive into statistics and machine-learning, with hands-on applications in Python and MATLAB.