CSC148H1 - Introduction to Computer Science
Course: CSC148H1 (Introduction to Computer Science) in CSC department at University of Toronto.
Credit Hours: 36 • Academic Level: first-year undergraduate course
Course Requirements: Requires 1 prerequisite course
Prerequisite Chain Depth: 1 level of foundational courses required
Future Opportunities: Unlocks 23 advanced courses for further study
Part of the CSC curriculum at University of Toronto, helping students progress through degree requirements.
Prerequisites for CSC148H1
Courses unlocked by CSC148H1
- STA313H1 - Data Visualization
- STA314H1 - Statistical Methods for Machine Learning I
- STA414H1 - Statistical Methods for Machine Learning II
- STA410H1 - Statistical Computation
- STA248H1 - Statistics for Computer Scientists
- STA272H1 - Statistical Models for Data Science
- ECO482H1 - Machine Learning Applications in Macroeconomic Finance
- STA302H1 - Methods of Data Analysis I
- STA442H1 - Methods of Applied Statistics
- CSC236H1 - Introduction to the Theory of Computation
- CSC310H1 - Information Theory
- CSC384H1 - Introduction to Artificial Intelligence
- ECO225H1 - Big-Data Tools for Economists
- RSM338H1 - Applications of Machine Learning in Finance
- RSM358H1 - Foundations of AI for Management
- COG343H1 - Issues in Cognitive Science III: Computational Cognition
- CSC258H1 - Computer Organization
- COG260H1 - Data, Computation, and the Mind
- COG403H1 - Seminar in Cognitive Science
- CSC207H1 - Software Design
- CSC271H1 - Computational Principles and Methods for Data Science
- CSC336H1 - Numerical Methods
- STA247H1 - Probability with Computer Applications
Academic Planning at University of Toronto
Students planning CSC148H1 at University of Toronto should complete 1 prerequisite before enrollment.
Future Pathways: Completing CSC148H1 enables enrollment in 23 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.