MA114-4-AU-CO:
Matrices and Complex Numbers

The details
2021/22
Mathematics, Statistics and Actuarial Science (School of)
Colchester Campus
Autumn
Undergraduate: Level 4
Current
Thursday 07 October 2021
Friday 17 December 2021
15
19 August 2021

 

Requisites for this module
(none)
(none)
(none)
EC114

 

MA201, MA204, MA205, MA214, MA222, MA225, MA301, MA306, MA314, MA315, MA317

Key module for

BSC N233 Actuarial Science (Including Placement Year),
BSC N233DT Actuarial Science (Including Placement Year),
BSC N323 Actuarial Science,
BSC N323DT Actuarial Science,
BSC N324 Actuarial Science (Including Year Abroad),
BSC N325 Actuarial Science (Including Foundation Year),
BSC L1G2 Economics and Mathematics (Including Placement Year),
BSC LG11 Economics and Mathematics,
BSC LG18 Economics and Mathematics (Including Foundation Year),
BSC LG1C Economics and Mathematics (Including Year Abroad),
BSC L1G1 Economics with Mathematics,
BSC L1G3 Economics with Mathematics (Including Placement Year),
BSC L1G8 Economics with Mathematics (Including Foundation Year),
BSC L1GC Economics with Mathematics (Including Year Abroad),
BSC GN13 Finance and Mathematics,
BSC GN15 Finance and Mathematics (Including Placement Year),
BSC GN18 Finance and Mathematics (Including Foundation Year),
BSC GN1H Finance and Mathematics (Including Year Abroad),
BSC G100 Mathematics,
BSC G102 Mathematics (Including Year Abroad),
BSC G103 Mathematics (Including Placement Year),
BSC G104 Mathematics (Including Foundation Year),
MMATG198 Mathematics,
BSC 5B43 Statistics (Including Year Abroad),
BSC 9K12 Statistics,
BSC 9K13 Statistics (Including Placement Year),
BSC 9K18 Statistics (Including Foundation Year),
BSC G1G4 Mathematics with Computing (Including Year Abroad),
BSC G1G8 Mathematics with Computing (Including Foundation Year),
BSC G1GK Mathematics with Computing,
BSC G1IK Mathematics with Computing (Including Placement Year),
BSC G1F3 Mathematics with Physics,
BSC G1F4 Mathematics with Physics (Including Placement Year),
BSC G1F5 Mathematics with Physics (Including Foundation Year),
BSC GCF3 Mathematics with Physics (Including Year Abroad),
MSCIN399 Actuarial Science and Data Science,
MSCIG199 Mathematics and Data Science

Module description

This module introduces several important mathematical constructions, namely, complex numbers, vectors and matrices, and shows how they are employed in various areas of mathematics and statistics. **For students outside of the Department, an appropriate A level in Mathematics (or equivalent) is required for this module. If you are unsure whether you meet this criteria please contact maths@essex.ac.uk before attempting to enrol.**

Module aims

This module is taught to first year students on a number of degrees and introduces mathematical constructions which are used in a wide range of applications of mathematics, namely, complex numbers, vectors and matrices.

Module learning outcomes

On completion of this module students should be able to:

- understand the geometric and algebraic properties of vectors in two- and three-dimensional Euclidean space;
- perform simple operations on matrices;
- solve systems of linear equations using row operations;
- calculate the determinant and the inverse of a matrix;
- calculate the eigenvalues and eigenvectors of a matrix;
- diagonalize a symmetric matrix;
- be able to add, subtract, multiply, and divide complex numbers in Cartesian form;
- be able to plot complex numbers on an Argand diagram;
- be able to move between Cartesian and polar forms of complex numbers;
- be able to calculate arguments, moduli and complex conjugates;
- be able to multiply and divide complex numbers in polar form;
- be able to find complex nth roots.

Module information

Syllabus

Complex numbers:

- addition, subtraction, multiplication and division of complex numbers in both Cartesian and polar form
- de Moivre's theorem
- complex nth roots

Vectors:

- Geometry and algebra of vectors in 2 & 3 dimensions
- vector addition and scalar multiplication

Matrices:

- matrix addition and multiplication
- systems of linear equations
- Gaussian elimination, elementary row operations
- identity and inverse matrices, determinants;
- eigenvalues and eigenvectors
- diagonalization of symmetric matrices
- applications to quadratic forms in two and three dimensions

Learning and teaching methods

Teaching will be delivered in a way that blends face-to-face classes, for those students that can be present on campus, with a range of online lectures, teaching, learning and collaborative support.

Bibliography

This module does not appear to have a published bibliography for this year.

Assessment items, weightings and deadlines

Coursework / exam Description Deadline Coursework weighting
Exam  Main exam: 150 minutes during Summer (Main Period) 

Exam format definitions

  • Remote, open book: Your exam will take place remotely via an online learning platform. You may refer to any physical or electronic materials during the exam.
  • In-person, open book: Your exam will take place on campus under invigilation. You may refer to any physical materials such as paper study notes or a textbook during the exam. Electronic devices may not be used in the exam.
  • In-person, open book (restricted): The exam will take place on campus under invigilation. You may refer only to specific physical materials such as a named textbook during the exam. Permitted materials will be specified by your department. Electronic devices may not be used in the exam.
  • In-person, closed book: The exam will take place on campus under invigilation. You may not refer to any physical materials or electronic devices during the exam. There may be times when a paper dictionary, for example, may be permitted in an otherwise closed book exam. Any exceptions will be specified by your department.

Your department will provide further guidance before your exams.

Overall assessment

Coursework Exam
0% 100%

Reassessment

Coursework Exam
0% 100%
Module supervisor and teaching staff
Dr Alexei Vernitski, email: asvern@essex.ac.uk.
Dr Alexei Vernitski
asvern@essex.ac.uk

 

Availability
Yes
Yes
No

External examiner

Prof Stephen Langdon
Brunel University London
Professor
Resources
Available via Moodle
Of 96 hours, 87 (90.6%) hours available to students:
9 hours not recorded due to service coverage or fault;
0 hours not recorded due to opt-out by lecturer(s), module, or event type.

 

Further information

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