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CSC-10054 - Module Specification
School of Computing and Mathematics
Faculty of Natural Sciences

For academic year: 2022/23 Last Updated: 19 January 2023

CSC-10054 - Calculus for Data Scientists
Coordinator: Peter Wootton Tel: +44 1782 7 33767
Lecture Time: See Timetable...
Level: Level 4
Credits: 15
Study Hours: 150
School Office: 01782 733075

Programme/Approved Electives for 2022/23

None

Available as a Free Standing Elective

No

Co-requisites

None

Prerequisites

None

Barred Combinations

None

Description for 2022/23

This module develops a range of calculus techniques which students can then apply to problem solving. It will assist students with the transition from the methods-based approach of Level 3 mathematics to the higher levels of understanding and rigour expected for degree level data science, where relevant techniques need to be selected rather than being stated in the problems tackled. It begins with a consideration of first and second order differential calculus . This is followed by a study of matrix algebra and its application. The remainder of the module covers complex numbers and further techniques of integral calculus.

Aims
To provide students with a foundation in calculus necessary required for data science. This will include topics such as: complex numbers, matrices, series, differentiation and integration.

Intended Learning Outcomes

use relevant methods to solve problems and communicate their solutions accurately and reliably with structured and coherent arguments;: 1
expand a given function into a series and use this to find approximate values of the function;: 1
recognise and solve a variety of first and second order ordinary differential equations using appropriate methods;: 1
compute eigenvalues and eigenvectors of 2 x 2 and 3 x 3 matrices, applying this theory to reduce appropriate matrices to diagonal form;: 1
compute transposes, determinants and inverses of 3 x 3 matrices;: 1
use mathematical techniques in differentiation and integration to solve a given problem.: 1

Study hours

Online Lectures - 24 hours
Block release tutorials - 8 hours
Online Problems Activities - 12 hours
Completion of assessed problem sheets - 20 hours
Private study - 86 hours

School Rules

None

Description of Module Assessment

1: Coursework weighted 100%
5 assessed problem sheets
Five assessed problem sheets, one to be completed every 2 weeks. These will focus on applying the techniques covered in the previous 2 weeks of lectures. Each problem sheet will account for 20% of the module assessment.

Please note that for the 2022/23 Academic Year programmes may be adapted to operate in accordance with a flexible, digital approach. This means that there may be some changes made to how modules are delivered and assessed. The latest information will be provided to you by your School in module handbooks. We endeavour to give you as much notice as possible of any changes and details about the circumstance in which changes are made to programmes can be found in the Student Agreement, available at: https://www.keele.ac.uk/student-terms-and-conditions/

Last Updated: 19 January 2023