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Session: 2022/23

Last modified: 10/01/2023 11:02:08

Title of Module: IT Skills and Mathematical Software

Code: MATH07008 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:Alan  J.  Walker

Summary of Module

This module is intended to cover the curriculum vitae (CV) and cover letter writing process, introduces the statistical software package R and mathemtical software Octave.

Personal development planning is introduced, with discussions on appropriate CV content and style. The concept of covering letters is discussed with reference made to successful and unsuccessful examples. Use of generic word processing software will be used to construct CVs and covering letters.

The statistical software package R is introduced to add programing skills with regard to statistical data analysis concepts learned in MATH07001. Expressions, variables and functions in R are introduced, along with arithmetic and descriptive graphs. Data types and associated rules, as well as creating matrices and data files, will be covered. Participants will learn how to write codes to calculate descriptive statistics and proceed with statistical analysis, e.g. calculating correlations and performing regression analysis.

Fundamentals of programming will be explored including using conditional statements and looping, modularising code via user-defined functions, and creating and manipulating mathematical functions.

The Graduate Attributes relevant to this module are given below:

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

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

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.

Online with mandatory face-to-face learning on Campus

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 1


Term 2check markTerm 3


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Learning Outcomes: (maximum of 5 statements)

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

L1. Successfully create a CV and covering letter.

L2. Implement a mathematical programming language, and communicate written conclusions from its output in a report.

L3. Implement a statistical programming language, and communicate written conclusions from its output in a report.

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 a knowledge and understanding of the appropriate style and substance of CVs and covering letters.

Demonstrating a knowledge and understanding of mathematical and statistical software packages and their applications.

Practice: Applied Knowledge and Understanding SCQF Level 7.

Using mathematical and statistical software packages to solve problems, sometimes in an applied context.

Applying knowledge, skills and understanding of an appropriate word processing package to construct a CV and covering letter.

Generic Cognitive skills SCQF Level 7.

Conceptualising and analysing problems in an applied context.

Presenting information in the form of CVs and covering letters.

Communication, ICT and Numeracy Skills SCQF Level 7.

Implementing and interpreting output from mathematical and statistical software.

Making a formal written presentation based on mathematical and statistical output.

Selecting and using standard ICT applications to process a variety of information and data.

Autonomy, Accountability and Working with others SCQF Level 7.

Exercising independence and initiative in carrying out a range of activities.

Identifying learning needs through reflection based on self, tutor and peer evaluation of work.

Pre-requisites: Before undertaking this module the student should have undertaken the following:
Module Code:
Module Title:
Co-requisitesModule Code:
Module Title:

* Indicates that module descriptor is not published.

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Learning and Teaching
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 Delivery8
Laboratory/Practical Demonstration/Workshop40
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:

“IT Skills and Mathematical Software” class notes published on University VLE.

Suitable mathematical software, that includes a requirement for programming.

Generic word processing software, e.g. Microsoft Word.

R, or an equivalent statistical package.

"An Introduction to Statistical Learning: with Applications in R", G James, D Witten, T Hastie and R Tibshirani

(**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 Kenneth C. Nisbet
External ExaminerP Wilson
Accreditation Details
Version Number


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Assessment: (also refer to Assessment Outcomes Grids below)
Assignment: A series of computer based tasks (100%).
(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) Weighting (%) of Assessment ElementTimetabled Contact Hours
Portfolio of written workcheck mark  201
Class test (practical) check markcheck mark806
Combined Total For All Components100% 7 hours

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

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  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

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.