Mathematica: An Introduction Training Course

Course Code

wolfmath

Duration

7 hours (usually 1 day including breaks)

Requirements

Level: Beginner

The course is for anyone who would like to become a proficient Mathematica user. This course is helpful for people with little experience with Mathematica and the Wolfram Language as well as for experienced users who would like to broaden their basic understanding of the system.

Overview

Introduces the core technologies needed to become an adept user of Mathematica, including the Wolfram Language, the notebook interface, programming fundamentals, visualization and interactivity features, and mathematics and statistics functionality. Small class sizes allow for interaction with the instructor, and in-person courses allow additional time for discussion, exercises, and Q&A.

Course Outline

What You Can Do with the Wolfram Language

  • A brief overview of what you can compute, demonstrate, develop, and deploy using Mathematica and the Wolfram Language.

Syntax and Evaluation

  • How to get started with your first calculations; the basics of Wolfram Language syntax, functions, and evaluations; making assignments; defining functions.

The Notebook Interface

  • Information about working with notebooks and interface technologies like the Input Assistant, the Image Assistant, and palettes.

Programming with the Wolfram Language

  • Introduction to essential operations, including procedural programming, functional programming, pattern matching and rules, parallelization, and GPU programming.

Visualization and Interactivity in the Wolfram Language

  • Examples of two- and three-dimensional plotting functions, data visualization, charting, graphs, statistical visualization, visualization options, the Manipulate function, and authoring with the Computable Document Format.

Mathematics and Statistics

  • Information about numbers and precision in the Wolfram Language, algebraic manipulation, equation solving, calculus functions, symbolic calculation, numerical computation, interpolation and data fitting, probability, and statistics.

Testimonials

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