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SWE 105: Calculus & Linear Algebra for Computing
Differential and integral calculus, continuous optimization, vector spaces, matrix operations, determinants, eigenvalues, eigenvectors, and singular value decomposition (SVD). Emphasizes direct applications in algorithmic complexity, computer graphic...
Course Overview
Differential and integral calculus, continuous optimization, vector spaces, matrix operations, determinants, eigenvalues, eigenvectors, and singular value decomposition (SVD). Emphasizes direct applications in algorithmic complexity, computer graphic... Curriculum Structure &...
What You'll Learn
- Compute derivatives, partial derivatives, and gradients to model continuous system changes and optimization functions.
- Perform matrix factorizations (LU, QR, SVD) and solve high-dimensional systems of linear equations computationally.
- Determine eigenvalues and eigenvectors to analyze stability in dynamic software simulations and dimensionality reduction.
- Apply Taylor series and numerical integration approximations to algorithmic approximations.
- Implement high-performance vector and tensor operations using modern computational linear algebra libraries.
Requirements
- Foundational academic standing in computing or science.
Degree Programme Curriculum Context
This course is a curriculum unit of the Bachelor of Engineering (B.Eng.) in Software Engineering degree framework in Nigeria.
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Course Curriculum
Open-access academic curriculum. All foundational lectures available to read free.
No curriculum found.
Academic Ecosystem & Connected Pathways
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Instructor
PAMCET Learning Team
Institutional Course Curation · PAMCET
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PAMCET Learning Team — Institutional Course Curation, Digitpen Hub LtdMy Skills:
- Curriculum Curation
- Course Content Review
- Learning Outcome Design
- Course Publishing & Quality Assurance
- Platform Content Operations
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Course Includes
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