MATH1107 - Linear Algebra I
Course: MATH1107 (Linear Algebra I) in MATH department at Carleton University.
Credit Hours: 0.5 • Academic Level: year 0 undergraduate course
Course Requirements: No prerequisites required - suitable for beginning students
Future Opportunities: Unlocks 25 advanced courses for further study
Course Type: Foundation course - forms the base for multiple advanced topics
Part of the MATH curriculum at Carleton University, helping students progress through degree requirements.
Courses unlocked by MATH1107
- COMP3009 - Computer Graphics
- COMP4102 - Computer Vision
- MATH2008 - Intermediate Calculus
- MATH3800 - Mathematical Modeling and Computational Methods
- MATH3806 - Numerical Analysis (Honours)
- STAT3553 - Regression Modeling (Honours)
- COMP2501 - Computer Game Design and Development
- STAT2605 - Probability Models
- COMP4107 - Neural Networks
- STAT3503 - Regression Analysis
- MATH2152 - Introductory Algebra II
- MATH2000 - Multivariable Calculus and Fundamentals of Analysis
- PHYS3705 - Introduction to Quantum Systems
- STAT2660 - Mathematics for Finance (Honours)
- BIOC2300 - Physical Biochemistry
- CHEM2103 - Physical Chemistry I
- CHEM4407 - Polymer Modeling
- COMP3105 - Introduction to Machine Learning
- COMP4115 - Introduction to Natural Language Processing
- COMP4010 - Introduction to Reinforcement Learning
- MATH1005 - Differential Equations and Infinite Series for Engineering or Physics
- MATH2004 - Multivariable Calculus for Engineering or Physics
- MATH2107 - Linear Algebra II
- MATH2404 - Ordinary Differential Equations I
- MATH2800 - Discrete Mathematics and Algorithms
Academic Planning at Carleton University
Students planning MATH1107 at Carleton University should complete 0 prerequisites before enrollment.
Future Pathways: Completing MATH1107 enables enrollment in 25 advanced courses, opening specialization opportunities in the MATH program.
This year 0 course at Carleton University integrates into structured degree pathways for MATH programs, supporting timely graduation and academic progression.