This paper is an introduction to the fundamental ideas and techniques of linear algebra and the application of these ideas to computer science and the sciences.

The principal aim of this paper is for students to develop a working knowledge of
the central ideas of linear algebra: vector spaces, linear transformations, orthogonality,
eigenvalues and eigenvectors, the spectral theorem and the applications of these ideas
in science, computer science and engineering.

In particular, the paper introduces
students to one of the major themes of modern mathematics: classification of structures
and objects. Using linear algebra as a model, the paper investigates techniques that
allow you to tell when two apparently different objects can be treated as if they
were the same.

Paper title | Linear Algebra |
---|---|

Paper code | MATH202 |

Subject | Mathematics |

EFTS | 0.1500 |

Points | 18 points |

Teaching period | Second Semester |

Domestic Tuition Fees (NZD) | $886.35 |

International Tuition Fees (NZD) | $3,766.35 |

- Prerequisite
- MATH 170
- Restriction
- MATH 242, MATH 341
- Schedule C
- Arts and Music, Science
- Eligibility
- MATH 202 is compulsory for the Mathematics major and is of particular relevance, also, for students majoring in Statistics, Computer Science and Physics.
- Contact
- david.bryant@otago.ac.nz
- More information link
- View more information about MATH 202
- Teaching staff
- Paper Structure
Main topics:

- Vector spaces over the real and complex numbers (mainly finite-dimensional)
- Linear transformations and their properties, kernel and range, examples involving Euclidean spaces, spaces of polynomials, spaces of continuous functions
- Linear combinations, linear independence and spans, bases, dimension, standard bases, extending bases of subspaces, coordinate vectors and isomorphisms, rank-nullity theorem
- Representation of linear transformations by matrices
- Diagonalisation, eigenvalues and eigenvectors
- Inner products, orthogonality, orthogonal projections, Cauchy-Schwartz inequality, inner-product norm, orthonormal bases, Gram-Schmidt process, orthogonal complements, minimisation problems
- the spectral theorem for matrices, singular-value decomposition of a matrix

- Textbooks
Sheldon Axler, Linear Algebra Done Right, 3rd ed, Springer (free to download e-book through UoO library)

- Course outline
- View course outline for MATH 202
- Graduate Attributes Emphasised
- Critical thinking.

View more information about Otago's graduate attributes. - Learning Outcomes
- To develop a working knowledge of the central ideas of linear algebra:
- Vector spaces
- Linear transformations
- Orthogonality
- Eigenvalues and eigenvectors
- The spectral theorem

## Timetable

This paper is an introduction to the fundamental ideas and techniques of linear algebra and the application of these ideas to computer science and the sciences.

The principal aim of this paper is for students to develop a working knowledge of
the central ideas of linear algebra: vector spaces, linear transformations, orthogonality,
eigenvalues and eigenvectors, the spectral theorem and the applications of these ideas
in science, computer science and engineering.

In particular, the paper introduces
students to one of the major themes of modern mathematics: classification of structures
and objects. Using linear algebra as a model, the paper investigates techniques that
allow you to tell when two apparently different objects can be treated as if they
were the same.

Paper title | Linear Algebra |
---|---|

Paper code | MATH202 |

Subject | Mathematics |

EFTS | 0.1500 |

Points | 18 points |

Teaching period | Second Semester |

Domestic Tuition Fees | Tuition Fees for 2020 have not yet been set |

International Tuition Fees | Tuition Fees for international students are elsewhere on this website. |

- Prerequisite
- MATH 170
- Restriction
- MATH 242, MATH 341
- Schedule C
- Arts and Music, Science
- Eligibility
- MATH 202 is compulsory for the Mathematics major and is of particular relevance, also, for students majoring in Statistics, Computer Science and Physics.
- Contact
- david.bryant@otago.ac.nz
- More information link
- View more information about MATH 202
- Teaching staff
- Paper Structure
Main topics:

- Vector spaces over the real and complex numbers (mainly finite-dimensional)
- Linear transformations and their properties, kernel and range, examples involving Euclidean spaces, spaces of polynomials, spaces of continuous functions
- Linear combinations, linear independence and spans, bases, dimension, standard bases, extending bases of subspaces, coordinate vectors and isomorphisms, rank-nullity theorem
- Representation of linear transformations by matrices
- Diagonalisation, eigenvalues and eigenvectors
- Inner products, orthogonality, orthogonal projections, Cauchy-Schwartz inequality, inner-product norm, orthonormal bases, Gram-Schmidt process, orthogonal complements, minimisation problems
- the spectral theorem for matrices, singular-value decomposition of a matrix

- Textbooks
Sheldon Axler, Linear Algebra Done Right, 3rd ed, Springer (free to download e-book through UoO library)

- Course outline
- View course outline for MATH 202
- Graduate Attributes Emphasised
- Critical thinking.

View more information about Otago's graduate attributes. - Learning Outcomes
- To develop a working knowledge of the central ideas of linear algebra:
- Vector spaces
- Linear transformations
- Orthogonality
- Eigenvalues and eigenvectors
- The spectral theorem