Applied Linear Algebra (MATH 1221)
This course introduces students to linear equations, matrices, determinants, vector spaces and linear transformations and bases. The course also includes complex numbers, eigenvalues and eigenvectors; diagonalization as well as inner products and orthogonality; least squares problems. Applications involving matrix and vector calculations are emphasized.
Course code: MATH 1221
Credits: 3.0
Length: 60.0 hours
Course outline:
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https://www.vcc.ca/vccphp/courseoutline?subject=MATH&number=1221
Prerequisites
MATH 1100 with a C-.
No schedule is currently available. Please check again later.
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Schedule †
MATH 1221 schedule for programs:
- MUSD
- NUSB
- NUSD
- UAAD
- UPHS
- USAD
- USCC
- UTAC
- UTCS
- UTEG
- UTES
- Associate of Arts
- Associate of Science
- Bachelor of Applied Music
- Nursing (BScN)
- Nursing (BScN) Advanced Entry
- University Transfer – Applied Mathematics (SFU)
- University Transfer – Applied Physics (SFU)
- University Transfer – Arts
- University Transfer – Biological Physics (SFU)
- University Transfer – Biological Sciences (SFU)
- University Transfer – Chemistry (SFU)
- University Transfer – Computing Science and Software Systems
- University Transfer – Engineering
- University Transfer – Engineering (SFU)
- University Transfer – Environmental Studies
- University Transfer – Mathematics (SFU)
- University Transfer – Molecular Biology and Biochemistry (SFU)
- University Transfer – Pathway to Health Sciences
- University Transfer – Physics (SFU)
- University Transfer – Science
- University Transfer – Science (UBC)
- University Transfer – Software Systems (SFU)
- University Transfer – Statistics (SFU)
- University Transfer (Courses)
Course dates and times may vary throughout the term. Select the CRN number below to see a full schedule.
CRN # | Dates | Day/Time/Location | Instructor |
---|---|---|---|
42091 | January 6, 2025 to April 23, 2025 | See full schedule Delivery: Blended Location: Varies | Daskalakis, Emmanouil |
Additional Information
- Vectors
- Systems of Linear Equations
- Matrices
- Linear Transformations
- Determinants
- Complex Numbers
- Eigenvalues and Eigenvectors
- Subspaces of R^n
- Orthogonality
This course is offered as part of a VCC program only.
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† 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.