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A beginner-friendly SPSS tutorial for interpreting and running reliability tests, regression models, ANOVA, hypothesis tests, and factor analyses.
A beginner-focused survey of computer hardware, networking, laptops, printers, and safety for the CompTIA A+ certification exam.
A broad introduction to biostatistics, from describing biological data and probability to clinical decision-making and epidemiological study design.
Learn essential LaTeX for scientific documents, from text and mathematical notation to tables, customization, TikZ diagrams, and Beamer presentations.
Configure VirtualBox VMs and use one to host Apache/PHP websites and a RESTful API backend.
A comprehensive introduction to quantum mechanics, from wave functions and uncertainty to Schrödinger equations, spin, and energy bands.
Explore convergence tests, power series, Taylor and Maclaurin expansions, direction fields, and Euler’s method in a second-course calculus sequence.
Learn to produce professionally typeset scientific documents in LaTeX, including mathematical notation, equations, formatting, environments, and lists.
A comprehensive physical chemistry course connects thermodynamics, equilibrium, and kinetics to mathematical models and chemical systems.
A broad introduction to modern physics, spanning special and general relativity, blackbody radiation, quantum phenomena, wave mechanics, and the Bohr model.
A beginner-friendly trigonometry course progressing from triangle relationships to graphs, identities, equations, modeling, and polar forms.
A beginner-friendly precalculus course develops functions, trigonometry, conic sections, polar coordinates, parametric equations, and difference quotients.
A beginner graph theory course covering Euler and Hamiltonian circuits, shortest paths, traveling-salesman methods, and minimum spanning trees.
Explores linear algebra through quantum-mechanical states, connecting vector operations, eigenvalues, basis changes, and Hermitian operators to wave functions and physical systems.
An in-depth beginner course covering limits, derivatives, optimization, Newton’s method, and antiderivatives, with an emphasis on calculus concepts useful to machine learning.
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