|CISC271, Scientific Computing: Winter 2017|
Scientific computing encompasses a broad range of techniques that are used to develop computer programs with a certain level of mathematical complexity. This course will cover those techniques known as numerical methods, specifically addressing sets of data in vectors.
To test, implement, and analyze this material, we will use MATLAB as an interactive tool and programming language. Students are expected to learn basic MATLAB on their own. Some tutorial information will be provided early in the course.
For basic material in data analytics, students can expect to be instructed in:
For basic material in machine learning, students can expect to be instructed in:
The course contents, including the schedule, notes, and supplementary material, are provided in the onQ learning management system.