Concept
Wolfram Mathematica
Related courses (6)
MSE-421: Statistical mechanics
This course presents an introduction to statistical mechanics geared towards materials scientists. The concepts of macroscopic thermodynamics will be related to a microscopic picture and a statistical
MGT-529: Data science and machine learning II
This class discusses advanced data science and machine learning (ML) topics: Recommender Systems, Graph Analytics, and Deep Learning, Big Data, Data Clouds, APIs, Clustering. The course uses the Wol
MGT-492: Data science and machine learning I
This class provides a hands-on introduction to data science and machine learning topics, exploring areas such as data acquisition and cleaning, regression, classification, clustering, neural networks,
PHYS-625: Using Mathematica to analyse and model experimental data
To learn the basics of symbolic programming using Mathematica / To understand Mathematica expressions and their use / To be able to solve linear and non-linear differentials systems / To present graph
MSE-443(a): Modelling problem solving, computing and visualisation I
The course will cover programming, numerical simulation, and visualization methods using Mathematica software. Students will be able to apply these skills to their currrent coursework, and prepared f
MSE-443(b): Modelling problem solving, computing and visualisation II
Covers development and design of models for materials processes and structure-property relations. Emphasizes techniques for solving equations from models or simulating and visualizing behavior. Topics