When we compare Mathematica and Matlab, Mathematica is more powerful.Evaluation comments are generally quite positive. Students come to the course with a wide range of backgrounds and experience, but most become quite proficient with Mathematica and go on to use it extensively in later coursework or research. This interactive approach is much more successful than lecturing - active learning is much more effective means of acquiring computational skills than passive listening. Students then work through the tutorial exercises while I circulate through the room providing help as needed. Typically I make a brief introduction to the topic of the day. The instructor can project his/her monitor or that of any student on a screen, view any monitor, or interact with any session. My course is taught in a teaching theater in which every student has a computer. Although I am a professor of physics, the course is intended for advanced undergraduate and beginning graduate students in any field of science, engineering, or mathematics. These materials were developed for a course that I teach at the University of Maryland. Applications are drawn from a wide variety of topics, including physics, chemistry, population biology, nonlinear dynamcs, and deterministic chaos. Application notebooks present solutions to more challenging problems at considerably greater depth and are intended to illustrate the use of Mathematica as a problem-solving tool.Exercises embedded in the text are intended for use in class, while those at the end are more suitable for homework. Language notebooks present basic concepts and techniques in a systematic fashion using relatively simple examples and exercises.The course materials consist of a collection of notebooks that present Mathematica in a tutorial format. More than 30 notebooks covering a wide variety of topics are available. Finance, Statistics & Business Analysisįor the newest resources, visit Wolfram Repositories and Archives »Įssential Mathematica for Students of Science: Tutorial Approach to Mastery of MathematicaĬonceptual and operational mastery of the Mathematica tools and techniques most relevant to scientists and engineers.Īll required materials may be obtained from the URL below.Wolfram Knowledgebase Curated computable knowledge powering Wolfram|Alpha. Wolfram Universal Deployment System Instant deployment across cloud, desktop, mobile, and more. Wolfram Data Framework Semantic framework for real-world data.
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