MA111-4-SP-CO:
Foundational Mathematics for Data Science

The details
2021/22
Mathematics, Statistics and Actuarial Science (School of)
Colchester Campus
Spring
Undergraduate: Level 4
Current
Monday 17 January 2022
Friday 25 March 2022
15
12 May 2021

 

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

 

(none)

Key module for

(none)

Module description

The module develops the foundational mathematical skills needed for students studying data science. It will introduce standard mathematical approaches necessary for data science, such as: widely used functions; basics of differentiation and integration; vectors and matrices; different metrics and when they are used.

Module aims

This module will support students from a wide range of educational backgrounds, to give them an understanding of the core mathematical skills needed within the study of Data Science. It will introduce students to important mathematical functions and equip them with the techniques needed to solve problems from calculus and linear algebra.

Module learning outcomes

By the end of the module students will:
1. Have knowledge of basic mathematical functions and be able to plot them.
2. Understand standard mathematical notation
3. Have knowledge of the basic rules of the differential and integral calculus for functions of one variable.
4. Be able to perform simple operations on vectors and matrices
5. Have knowledge of the mathematical notion of distance and be able to calculate simple distance metrics.

Module information

1. Foundations: logs, exponentials, trigonometry, polynomials, inequalities, mathematical notation, plots of functions.
2. Calculus: derivatives, integrals.
3. Linear Algebra: vectors, matrices, metrics.

Learning and teaching methods

The module consists of 2 hours lectures and 1 hour class each week. With 3 hours revision lectures in the Summer term.

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
Coursework   Assignment 1    10% 
Coursework   Assignment 2    10% 
Written Exam  Test    80% 

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
100% 0%

Reassessment

Coursework Exam
100% 0%
Module supervisor and teaching staff
Dr Joseph Bailey, email: jbailef@essex.ac.uk.
Dr Dan Brawn
Dr Dan Brawn (dbrawn@essex.ac.uk)

 

Availability
Yes
Yes
Yes

External examiner

No external examiner information available for this module.
Resources
Available via Moodle
Of 1462 hours, 20 (1.4%) hours available to students:
1442 hours not recorded due to service coverage or fault;
0 hours not recorded due to opt-out by lecturer(s).

 

Further information

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