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JC1005: LINEAR ALGEBRA (2024-2025)

Last modified: 23 Jul 2024 11:03


Course Overview

Linear algebra is the study of linear equations and matrices.  At a more abstract level, it concerns vector spaces and linear maps between them, and it is a central subject within mathematics. It provides foundations for almost all branches of mathematics and sciences in general. The techniques are used in engineering, physics, computer science, economics and others.

Course Details

Study Type Undergraduate Level 1
Term First Term Credit Points 15 credits (7.5 ECTS credits)
Campus Offshore Sustained Study No
Co-ordinators
  • Dr Mark Grant

What courses & programmes must have been taken before this course?

  • Any Undergraduate Programme (Studied)
  • Bsc In Artificial Intelligence (Scnu)

What other courses must be taken with this course?

None.

What courses cannot be taken with this course?

None.

Are there a limited number of places available?

No

Course Description

This course is an introduction to linear algebra over the real numbers and the complex numbers.  It covers linear equations and matrices, vector spaces and linear maps, and eigenvectors and eigenvalues.

Syllabus

  • Solving a linear system. Elementary row operations, row echelon form, Gaussian algorithm for solving a linear system.
  • Vector spaces. Definition of a vector space over the real and complex numbers.    Subspaces of a vector space, intersection and sum of subspaces. Span, spanning sets. Linear independence. Basis, dimension. Elementary results about bases and dimension. Change of basis matrix. The algebra of nxn-matrices.
  • Linear maps. Definition of a linear map between vector spaces. Kernel, image, injective, surjective linear maps. Matrix of a linear map. Rank of a matrix. Invertible matrices. Change of basis and the matrix of a linear map.
  • Determinants of matrices and linear transformations.
  • The various definitions of the determinant. Properties and methods of calculation. Finding the inverse of a matrix using cofactors.
  • Determinants of matrices and linear transformations.
  • Eigenvalues and eigenvectors of square matrices and of endomorphisms. Properties.

Contact Teaching Time

Information on contact teaching time is available from the course guide.

Teaching Breakdown

More Information about Week Numbers


Details, including assessments, may be subject to change until 30 August 2024 for 1st term courses and 20 December 2024 for 2nd term courses.

Summative Assessments

Homework Exercises

Assessment Type Summative Weighting 10
Assessment Weeks Feedback Weeks

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Solutions provided

Learning Outcomes
Knowledge LevelThinking SkillOutcome
ConceptualAnalyseAbility to prove elementary results about linear independence, basis and dimension
ConceptualUnderstandUnderstand the connections among linear transformations, matrices and systems of linear equations
ConceptualUnderstandAbility to state and understand the main definitions and theorems of the course
FactualUnderstandUnderstand the concepts of linear independence, basis and dimension
FactualUnderstandUnderstand the basic concepts of linear algebra, such as vector spaces and linear transformations
FactualUnderstandAbility to calculate rank, nullity and matrix inverses.
FactualUnderstandAbility to calculate matrix determinants
FactualUnderstandUnderstand the concepts of rank, nullity and invertibility of matrices and linear transformations
ProceduralApplyAbility to calculate eigenvalues and eigenspaces and to diagonalize matrices
ProceduralApplyAbility to row reduce matrices and solve systems of linear equations

Exam

Assessment Type Summative Weighting 70
Assessment Weeks Feedback Weeks

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Students to have opportunity to discuss script

Learning Outcomes
Knowledge LevelThinking SkillOutcome
ConceptualAnalyseAbility to prove elementary results about linear independence, basis and dimension
ConceptualUnderstandAbility to state and understand the main definitions and theorems of the course
ConceptualUnderstandUnderstand the connections among linear transformations, matrices and systems of linear equations
FactualUnderstandAbility to calculate matrix determinants
FactualUnderstandUnderstand the concepts of rank, nullity and invertibility of matrices and linear transformations
FactualUnderstandUnderstand the concepts of linear independence, basis and dimension
FactualUnderstandUnderstand the basic concepts of linear algebra, such as vector spaces and linear transformations
FactualUnderstandAbility to calculate rank, nullity and matrix inverses.
ProceduralApplyAbility to row reduce matrices and solve systems of linear equations
ProceduralApplyAbility to calculate eigenvalues and eigenspaces and to diagonalize matrices

Class Test

Assessment Type Summative Weighting 20
Assessment Weeks Feedback Weeks

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Mid-term quiz

Learning Outcomes
Knowledge LevelThinking SkillOutcome
Sorry, we don't have this information available just now. Please check the course guide on MyAberdeen or with the Course Coordinator

Formative Assessment

There are no assessments for this course.

Resit Assessments

Maximum of resit exam and resit exam with carried forward in-course assessment marks

Assessment Type Summative Weighting 100
Assessment Weeks Feedback Weeks

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Learning Outcomes
Knowledge LevelThinking SkillOutcome
Sorry, we don't have this information available just now. Please check the course guide on MyAberdeen or with the Course Coordinator

Course Learning Outcomes

Knowledge LevelThinking SkillOutcome
FactualUnderstandAbility to calculate rank, nullity and matrix inverses.
ProceduralApplyAbility to calculate eigenvalues and eigenspaces and to diagonalize matrices
ConceptualUnderstandUnderstand the connections among linear transformations, matrices and systems of linear equations
FactualUnderstandAbility to calculate matrix determinants
ConceptualAnalyseAbility to prove elementary results about linear independence, basis and dimension
ProceduralApplyAbility to row reduce matrices and solve systems of linear equations
FactualUnderstandUnderstand the concepts of rank, nullity and invertibility of matrices and linear transformations
ConceptualUnderstandAbility to state and understand the main definitions and theorems of the course
FactualUnderstandUnderstand the basic concepts of linear algebra, such as vector spaces and linear transformations
FactualUnderstandUnderstand the concepts of linear independence, basis and dimension

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