CSC108H1 - Introduction to Computer Programming
Course: CSC108H1 (Introduction to Computer Programming) in CSC department at University of Toronto.
Credit Hours: 36 • Academic Level: first-year undergraduate course
Course Requirements: No prerequisites required - suitable for beginning students
Future Opportunities: Unlocks 16 advanced courses for further study
Course Type: Foundation course - forms the base for multiple advanced topics
Part of the CSC curriculum at University of Toronto, helping students progress through degree requirements.
Courses unlocked by CSC108H1
- STA313H1 - Data Visualization
- STA314H1 - Statistical Methods for Machine Learning I
- STA414H1 - Statistical Methods for Machine Learning II
- STA272H1 - Statistical Models for Data Science
- ECO482H1 - Machine Learning Applications in Macroeconomic Finance
- ECO225H1 - Big-Data Tools for Economists
- JFL484H1 - Computational Tools for Language Corpora
- RSM338H1 - Applications of Machine Learning in Finance
- RSM358H1 - Foundations of AI for Management
- RSM371H1 - Data and Information Management for Business Analytics
- COG260H1 - Data, Computation, and the Mind
- CSC148H1 - Introduction to Computer Science
- STA302H1 - Methods of Data Analysis I
- STA442H1 - Methods of Applied Statistics
- CSC271H1 - Computational Principles and Methods for Data Science
- EEB460H1 - Molecular Evolution and Genomics
Academic Planning at University of Toronto
Students planning CSC108H1 at University of Toronto should complete 0 prerequisites before enrollment.
Future Pathways: Completing CSC108H1 enables enrollment in 16 advanced courses for further study
This first-year course at University of Toronto integrates into structured degree pathways for CSC programs, supporting timely graduation and academic progression.