This course 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. Limited registration and small class sizes allow for interaction with the instructor, and in-person courses allow additional time for discussion, exercises and Q&A. 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.
Featured Products & Technologies: Wolfram Language, Mathematica
|Date||Time||Language||Location||Cost||October 5||9:30am–4pm||English||Manchester, United Kingdom
17 Marble Street
|£95.00 (GBP)||Register Now||November 2||9:30am–4pm||English||London, United Kingdom
135-137 Aldersgate Street
|£95.00 (GBP)||Register Now|
- 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.