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Module Specifications.

Current Academic Year 2024 - 2025

All Module information is indicative, and this portal is an interim interface pending the full upgrade of Coursebuilder and subsequent integration to the new DCU Student Information System (DCU Key).

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Date posted: September 2024

Module Title Linear Algebra I
Module Code MTH1087 (ITS) / MTH1087 (Banner)
Faculty Science & Health School Mathematical Sciences
Module Co-ordinatorThomas Brady
Module Teachers-
NFQ level 6 Credit Rating 7.5
Pre-requisite Not Available
Co-requisite Not Available
Compatibles Not Available
Incompatibles Not Available
None
Description

The purpose of this module is to introduce students to matrix algebra and linearity and to the notions of vector space and linear transformation.

Learning Outcomes

1. demonstrate computational skills by solving wide range of drill problems involving topics in the indicative syllabus
2. state selected definitions and theorems related to the indicative syllabus
3. solve exercises that test understanding of these definitions and theorems
4. explain arguments used to prove selected theorems in special cases
5. Demonstrate an understanding of the mechanics of change of basis



Workload Full-time hours per semester
Type Hours Description
Lecture36Lecture
Tutorial12Tutorial
Independent Study170Independent learning
Assignment Completion2Final Exam
Total Workload: 220

All module information is indicative and subject to change. For further information,students are advised to refer to the University's Marks and Standards and Programme Specific Regulations at: http://www.dcu.ie/registry/examinations/index.shtml

Indicative Content and Learning Activities

Vectors:
vectors in Euclidean space, linear combinations, dot product, orthogonality, one-dimensional projection, Cauchy-Schwarz Inequality.

Matrices and systems of equations:
Matrices, systems of linear equations, Gauss-Jordan elimination, invertible matrices, elementary matrices

Dimension:
subspaces, linear independence, basis, dimension, Rank-Nullity Theorem

Vector spaces
Abstract vector spaces and linear transformation. General rank-nullity Theorem.

Matrix representations
Coordinates, matrix representations, similarity

Assessment Breakdown
Continuous Assessment20% Examination Weight80%
Course Work Breakdown
TypeDescription% of totalAssessment Date
In Class TestIn class test10%Week 5
In Class Testn/a10%Week 10
Reassessment Requirement Type
Resit arrangements are explained by the following categories:
Resit category 1: A resit is available for both* components of the module.
Resit category 2: No resit is available for a 100% continuous assessment module.
Resit category 3: No resit is available for the continuous assessment component where there is a continuous assessment and examination element.
* ‘Both’ is used in the context of the module having a Continuous Assessment/Examination split; where the module is 100% continuous assessment, there will also be a resit of the assessment
This module is category 3
Indicative Reading List

  • John B. Fraleigh,Raymond A. Beauregard: 1995, Linear Algebra, Addison Wesley, 0201526751
  • Gilbert Strang: 2023, Introduction to Linear Algebra, Wellesley-Cambridge Press, 1733146679
  • Howard Anton,Chris Rorres,Anton Kaul: 2019, Elementary Linear Algebra, John Wiley & Sons, 1119282365
Other Resources

None

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