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Level 4 Diploma in Cyber Security

Vectors and matrices: matrix multiplication, inverses and solving linear systems

CYB402 · Mathematics for Computer Science — Week 10 of 16

CourseCYB402
Week10 of 16
SemesterI
TutorOnline in the course chat

This week’s topics

Vectors and matrices: matrix multiplication, inverses and solving linear systems

  1. Starting point: solving linear equations
  2. What is meant by vectors and matrices
  3. Row-reduction to convert a matrix to echelon form
  4. Solve linear systems of equations using matrices

What you will be able to do

  • 5.1 Describe what is meant by vectors and matrices.
  • 5.2 Use row-reduction to convert a matrix to echelon form.
  • 5.3 Solve linear systems of equations using matrices.

Activity

Start with this week’s 3 videos, then: Seminar, guided reading and a short written task: describe what is meant by vectors and matrices.

Study materials

Videos

  • Checking and securing understanding of solving and interpreting linear equations · Oak National Academy, Key Stage 4 (GCSE level) · for registered students
  • Linear Algebra for Computer Scientists. 13. Transformation Matrices · YouTube · Computer Science Lessons · 16 min · for registered students
  • Computer Graphics and Matrices (90s style) · YouTube · Lorenzo Sadun · 9 min · for registered students

Further resources

  • Contemporary Mathematics, 5.2: Linear Equations in One Variable · PDF · OpenStax Contemporary Mathematics (2023), 5.2: solving linear equations, pp. 346–355 · for registered students
  • Precalculus 2e, 8.8: Vectors · PDF · OpenStax Precalculus 2e (2021), 8.8: vectors, components, addition and scalar multiplication, pp. 864–894 · for registered students
  • College Algebra 2e, 7.5: Matrices and Matrix Operations · PDF · OpenStax College Algebra 2e (2021), 7.5: matrix notation, addition and multiplication, pp. 716–728 · for registered students
  • Array programming with NumPy · Open-access article · Harris et al. (2020), Nature. How vectors and matrices are handled in Python with NumPy arrays. · for registered students
Materials marked “for registered students” open in the student portal, which is set up as soon as you receive final acceptance.
Course chat

Admitted students ask questions on this week’s page in the student portal: an AI assistant trained on the course answers first, and during the course’s timetabled classes Connect to your tutor brings your tutor into the chat, who may start a call if needed.

Open this week in the portal
Course plan
  • Week 1: Number bases: binary, denary and hexadecimal, and convertin…
  • Week 2: Binary in computer science: binary addition and overflow, t…
  • Week 3: Propositional logic: Boolean operators and truth tables
  • Week 4: Set theory: Venn diagrams, notation, union, intersection an…
  • Week 5: Proof techniques: induction and strong induction, contradic…
  • Week 6: Finite fields and modular arithmetic: algebras, identities …
  • Week 7: Number-theoretic theorems (Fermat's little theorem, Euler's…
  • Midterm: Midterm evaluation
  • Week 9: Sequences and series: arithmetic, geometric and harmonic pr…
  • Week 10: Vectors and matrices: matrix multiplication, inverses and s…
  • Week 11: Matrix types and properties (trace, determinant), LU decomp…
  • Week 12: Applying Mathematics for Computer Science in practice: case…
  • Week 13: Assignment workshop: research, planning and referencing
  • Week 14: Assignment workshop: drafting, feedback and improvement
  • Week 15: Review and coursework completion
  • Final: Final assessment and submission
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