CSC110Y1 - Foundations of Computer Science I
Course: CSC110Y1 (Foundations of Computer Science I) in CSC department at University of Toronto.
Credit Hours: 72 • Academic Level: first-year undergraduate course
Course Requirements: No prerequisites required - suitable for beginning students
Future Opportunities: Unlocks 12 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 CSC110Y1
- STA313H1 - Data Visualization
- STA314H1 - Statistical Methods for Machine Learning I
- STA414H1 - Statistical Methods for Machine Learning II
- STA410H1 - Statistical Computation
- STA272H1 - Statistical Models for Data Science
- ECO482H1 - Machine Learning Applications in Macroeconomic Finance
- ECO225H1 - Big-Data Tools for Economists
- CSC111H1 - Foundations of Computer Science II
- STA302H1 - Methods of Data Analysis I
- STA442H1 - Methods of Applied Statistics
- CSC240H1 - Enriched Introduction to the Theory of Computation
- CSC271H1 - Computational Principles and Methods for Data Science
Academic Planning at University of Toronto
Students planning CSC110Y1 at University of Toronto should complete 0 prerequisites before enrollment.
Future Pathways: Completing CSC110Y1 enables enrollment in 12 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.