Mathematics for Programmers (CSTP 2108)
This course builds on CSTP 1108 covering applied topics in calculus, probability and statistics which form the foundation of data science and are crucial for understanding and applying Machine Learning (ML) algorithms. Students will learn how these mathematical tools are used to analyze and interpret data, model real-world problems, and support decision-making in the field of data science. Practical examples and exercises in Python will help students apply mathematical principles to real data science tasks, preparing them for the technical challenges of working in this rapidly evolving field.
Course code: CSTP 2108
Credits: 2.0
Length: 40.0 hours
Course outline:
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https://www.vcc.ca/vccphp/courseoutline?subject=CSTP&number=2108
Prerequisites
CSTP 1108, CSTP 1105.
* The amount shown is the approximate cost of tuition (for courses with tuition) or fees (for courses that do not have tuition).
Tuition and Fees are approximate and subject to change. Students are required to pay any applicable fee increases. Fees listed are for domestic students. For international programs, visit VCC International.
† This information is intended as a guideline only. Program and course details are subject to change with the approval of VCC's Board of Governors.