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.

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