Programme/Approved Electives for 2022/23
None
Available as a Free Standing Elective
No
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 assessmentApproximately twelve weekly Maple TA assignments, spread over both semesters. These are automatically marked and provide immediate feedback.
2: Class Test weighted 20%Class TestEnd of Semester 1, closed book Class Test of one-hour duration. The test will comprise 5 to 8 questions, which will examine students' fluency in selecting and accurately applying appropriate techniques to solve and interpret a range of concrete and abstract problems.
3: Class Test weighted 20%Class TestEnd of Semester 2, closed book Class Test of one-hour duration. The test will comprise 5 to 8 questions, which will examine students' fluency in selecting and accurately applying appropriate techniques to solve and interpret a range of concrete and abstract problems.