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Module Descriptors

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Session: 2022/23

Last modified: 10/01/2023 10:58:23

Title of Module: Dealing with Data

Code: MATH07001 SCQF Level: 7
(Scottish Credit and Qualifications Framework)		 Credit Points: 20 ECTS: 10
(European Credit Transfer Scheme)
School:School of Computing, Engineering and Physical Sciences
Module Co-ordinator:Laura  Stewart

Summary of Module

This module gives an introduction to methods in probability and statistics. These methods are underpinned by the necessary mathematical concepts, and are supported by appropriate software.

The mathematical concepts covered will include the necessary basic algebra, including the study of exponentials and logarithms.

In statistics, the emphasis will be on the use of diagrams and summary measures to inform the interpretation of descriptive statistics (including averages and measures of spread), working with both univariate and bivariate data.

The concepts in basic probability are discussed including addition and multiplication laws, complements, conditional probability and Bayes’ Theorem.

The concept of correlation is discussed for continuous data. The basic ideas of linear regression are then discussed, including interpretation of scatter plots, the idea of the line of best fit Y = A + BX, and making predictions (interpolation and extrapolation). The value of B is statistically tested to validate the linear regression model.

Categorical data is also discussed, with a discussion of independence.

Suitable software will be used to produce statistical output to a range of problems.

The Graduate Attributes relevant to this module are given below:

  • Academic: Critical thinker; Analytical; Inquiring; Knowledgeable; Problem-solver; Digitally literate; Autonomous.
  • Personal: Effective communicator; Motivated; Resilient
  • Professional: Collaborative; Ambitious; Driven.

Module Delivery Method
Face-To-FaceBlendedFully OnlineHybridCHybridOWork-based Learning
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Face-To-Face
Term used to describe the traditional classroom environment where the students and the lecturer meet synchronously in the same room for the whole provision.

Blended
A mode of delivery of a module or a programme that involves online and face-to-face delivery of learning, teaching and assessment activities, student support and feedback. A programme may be considered “blended” if it includes a combination of face-to-face, online and blended modules. If an online programme has any compulsory face-to-face and campus elements it must be described as blended with clearly articulated delivery information to manage student expectations

Fully Online
Instruction that is solely delivered by web-based or internet-based technologies. This term is used to describe the previously used terms distance learning and e learning.

HybridC
Online with mandatory face-to-face learning on Campus

HybridO
Online with optional face-to-face learning on Campus

Work-based Learning
Learning activities where the main location for the learning experience is in the workplace.


Campus(es) for Module Delivery
The module will normally be offered on the following campuses / or by Distance/Online Learning: (Provided viable student numbers permit)
Paisley:Ayr:Dumfries:Lanarkshire:London:Distance/Online Learning:Other:
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Term(s) for Module Delivery
(Provided viable student numbers permit).
Term 1check markTerm 2

 

Term 3

 

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Learning Outcomes: (maximum of 5 statements)

On successful completion of this module the student will be able to:

L1. Perform graphical and basic algebraic processes correctly.

L2. Demonstrate understanding of concepts of probability.

L3. Perform suitable statistical analysis of continuous and categorical data and interpret results.

L4. Use suitable computer software to perform statistical analysis and interpret results.

Employability Skills and Personal Development Planning (PDP) Skills
SCQF Headings During completion of this module, there will be an opportunity to achieve core skills in:
Knowledge and Understanding (K and U) SCQF Level 7.

Demonstrating basic awareness of the application of mathematical or statistical techniques, as appropriate, to the solution of problems.

Practice: Applied Knowledge and Understanding SCQF Level 7.

Using basic techniques of calculation in solving standard mathematical or statistical problems, as appropriate, and making valid interpretations of these.

Generic Cognitive skills SCQF Level 7.

Using a range of methods to analyse well-defined problems in relevant mathematical or statistical contexts.

Communication, ICT and Numeracy Skills SCQF Level 7.

Using suitable software to obtain, and present, results from basic statistical problems, as appropriate.

Making valid interpretations of the output of appropriate software.

Autonomy, Accountability and Working with others SCQF Level 7.

Working autonomously to produce short reports on basic statistical problems.

Collaborating with others in a small team to solve basic statistical problems.

Pre-requisites: Before undertaking this module the student should have undertaken the following:
Module Code:
Module Title:
Other:National 5 Mathematics, or equivalent
Co-requisitesModule Code:
Module Title:

* Indicates that module descriptor is not published.

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Learning and Teaching
An appropriate blend of subject matter delivered in lectures and supported by an suitable mix of tutorials and computer laboratories.
Learning Activities
During completion of this module, the learning activities undertaken to achieve the module learning outcomes are stated below: 		Student Learning Hours
(Normally totalling 200 hours):
(Note: Learning hours include both contact hours and hours spent on other learning activities)
Lecture/Core Content Delivery24
Tutorial/Synchronous Support Activity12
Laboratory/Practical Demonstration/Workshop12
Independent Study146
Personal Development Plan6
200 Hours Total

**Indicative Resources: (eg. Core text, journals, internet access)

The following materials form essential underpinning for the module content and ultimately for the learning outcomes:

Suitable software, e.g. Excel, SPSS, Word.

The module VLE.

"Foundation Mathematics", A Croft and R Davison

"A Basic Course in Statistics", GM Clarke and D Cooke

"Introductory Statistics", Openstax (online resource)

(**N.B. Although reading lists should include current publications, students are advised (particularly for material marked with an asterisk*) to wait until the start of session for confirmation of the most up-to-date material)

Engagement Requirements

In line with the Academic Engagement Procedure, Students are defined as academically engaged if they are regularly engaged with timetabled teaching sessions, course-related learning resources including those in the Library and on the relevant learning platform, and complete assessments and submit these on time. Please refer to the Academic Engagement Procedure at the following link: Academic engagement procedure

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Supplemental Information

Programme BoardPhysical Sciences
Assessment Results (Pass/Fail) No
Subject PanelPhysical Sciences
ModeratorDr Wan Mekwi
External ExaminerP Wilson
Accreditation DetailsThis module is accredited by IBMS as part of BSc (Hons) Biomedical Science; accredited by IBMS and approved by HPC as part of BSc (Hons) Advanced Biomedical Science; accredited by REHIS as part of BSc (Hons) Environmental Health; accredited by IOSH as part of BSc Occupational Safety and Health.
Version Number

2.15

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Assessment: (also refer to Assessment Outcomes Grids below)
Coursework worth 40% of the final mark. This will include a final presentation.
Two class tests worth 60% of the final mark.
(N.B. (i) Assessment Outcomes Grids for the module (one for each component) can be found below which clearly demonstrate how the learning outcomes of the module will be assessed.
(ii) An indicative schedule listing approximate times within the academic calendar when assessment is likely to feature will be provided within the Student Handbook.)

Assessment Outcome Grids (Footnote A.)

Component 1
Assessment Type (Footnote B.) Learning Outcome (1) Learning Outcome (2) Learning Outcome (3) Learning Outcome (4) Weighting (%) of Assessment ElementTimetabled Contact Hours
Presentation   check mark400

Component 2
Assessment Type (Footnote B.) Learning Outcome (1) Learning Outcome (2) Learning Outcome (3) Learning Outcome (4) Weighting (%) of Assessment ElementTimetabled Contact Hours
Class test (written)check markcheck markcheck mark 603
Combined Total For All Components100% 3 hours

Footnotes
A. Referred to within Assessment Section above
B. Identified in the Learning Outcome Section above

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Note(s):
  1. More than one assessment method can be used to assess individual learning outcomes.
  2. Schools are responsible for determining student contact hours. Please refer to University Policy on contact hours (extract contained within section 10 of the Module Descriptor guidance note).
    This will normally be variable across Schools, dependent on Programmes &/or Professional requirements.

Equality and Diversity
This module is suitable for any student satisfying the pre-requisites.
UWS Equality and Diversity Policy
(N.B. Every effort will be made by the University to accommodate any equality and diversity issues brought to the attention of the School)

2014 University of the West of Scotland

University of the West of Scotland is a Registered Scottish Charity.

Charity number SC002520.

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