Please note
This document only provides information for the academic year selected and does not form part of the student contract
School:
School of Applied Sciences
Credit Rating:
20
Level (including FHEQ):
P (FHEQ Level 3)
Graded or Non Graded:
Graded
Version Valid From:
2023-09-01
Module Leader:
Rukhsana Din
Version Number
2023.02
Learning Methods
Lecture
Practical Classes and Demonstrations
Guided Independent Study
Synopsis
This module introduces students to the scientific method, including. data acquisition, experimental design, statistical analysis, interpretation and evaluation of evidence. A core component of the module focuses on the application of statistical techniques to aid in the analysis of student generated data. This module will also involve the practical application … For more content click the Read More button below.
Learning Strategy
Teaching is delivered using a variety of approaches but is primarily focused on weekly computing lab classes. Instruction is provided by detailed handouts (which students MUST read) and/or screencasts plus practical demonstrations.
Outline Syllabus
Introduction to Office packagesDescriptive statisticsInferential statisticsHypothesis testingExperimental designData interpretationData evaluationReport writing
Learning Outcomes
On successful completion of this module students will
1.
understand simple statistical tests and when they should be applied.
2.
design experiments to investigate particular problems.
3.
describe sources of scientific information and how they can be utilised.
4.
demonstrate core competencies in Data Analysis.
5.
be able to perform statistical operations manually and using various statistical packages.
6.
present information in an appropriate word processed format.
7.
manipulate data using spreadsheet functions.
8.
analyse and evaluate data sets.
Formative Assessment
Assessment 1: Written practice exercise
Summative Assessment
Assessment 1: In-Class Test
Assessment 2: In-Class Test
Assessment 3: In-Class Test
Assessment 4: Written Assignment
Assessment 5: In-Class Test
Assessment Criteria
Students will be required to demonstrate that they have a sound understanding of word processing and Excel: formatting, nomenclature, selection of appropriate graphs, statistical analysis techniques and referencing in their non-exam based assignments.
Further information about Continual Assessment tasks will be supplied in the Module Handbook. Students will gain 5% … For more content click the Read More button below.