Programme/Approved Electives for 2024/25
None
Available as a Free Standing Elective
No
The material in this module will introduce students to fundamental mathematical concepts and styles of thinking that underpin the theory behind many of the algorithms and statistical techniques used in data science, which they will meet in later levels of study.
Aims
The module aims to provide students with the mathematical techniques and skills that are required for the Data Science programme, in particular preparing students for the levels 5 and 6 mathematics modules on offer. The module takes account of the fact that the majority of students on the programme will not have taken A-Level Mathematics.
Intended Learning Outcomes
use mathematical skills and techniques to solve problems;: 1,2,3draw diagrams and sketch graphs to help explore mathematical situations and interpret solutions;: 2,3make deductions and inferences and draw conclusions by using mathematical reasoning;: 1,2,3represent situations mathematically and understand the mathematical models that may be applied to solve them.: 1,2,3
60 hours of structured lectures, 20 hours of student activity classes, and 220 hours of independent study comprising 40 hours class test preparation, 60 hours preparation and completion of online activities and 120 hours (60 hours per semester) of consolidation of material.
Description of Module Assessment
1: Computer Task weighted 60%Maple TA assessment
2: Class Test weighted 20%Class Test
3: Class Test weighted 20%Class Test