COMPUTER LABORATORY - 2023/4

Module code: ENG0018

Module Overview

The emphasis of this module is on the development of digital capabilities, academic skills and problem solving skills. The module will facilitate the development of competency in working with software commonly used to support calculations, analysis and presentation. Microsoft Excel will be used for spreadsheet based calculations and experimental data analysis. MATLAB will be used as a platform for developing elementary programming skills and applying various processes to novel problem solving scenarios. The breadth and depth of digital capabilities will be further enhanced by working with HTML and CSS within the GitHub environment to develop a webpage, hosting content for the conference project. The conference project provides an opportunity to carry out guided research and prepare a presentation on one of many discipline specific topic choices. A wide range of writing, referencing and other important academic skills are developed through the conference project.

Module provider

Sustainability, Civil & Env Engineering

Module Leader

RAHMAN Alifah (Mech Eng Sci)

Number of Credits: 15

ECTS Credits: 7.5

Framework: FHEQ Level 3

Module cap (Maximum number of students): N/A

Overall student workload

Workshop Hours: 11

Independent Learning Hours: 51

Lecture Hours: 4

Seminar Hours: 1

Laboratory Hours: 28

Guided Learning: 51

Captured Content: 4

Module Availability

Semester 1

Prerequisites / Co-requisites

None

Module content

Indicative content includes:


  • Excel: data analysis, calculations, functions and plot customisation.

  • MATLAB: basic operations and programming fundamentals applied in novel contexts.

  • Conference Project: guided research and preparation of a mini conference style paper. Design and deliver a presentation.

  • HTML/CSS: develop a webpage for hosting content related to the conference project, through the GitHub environment.

  • Academic skills development: research, referencing, writing and presentation.

  • Digital knowledge: The internet, IOT, AI



 

Assessment pattern

Assessment type Unit of assessment Weighting
Coursework COMPUTING 1 - EXCEL DATA ANALYSIS AND APPLICATIONS 20
Coursework COMPUTING 2 - MATLAB APPLICATIONS 30
Coursework CONFERENCE PROJECT (PEER REVIEW & FEEDBACK) 10
Coursework CONFERENCE PROJECT (CONFERENCE PAPER) 20
Oral exam or presentation CONFERENCE PROJECT (PRESENTATION) 15
Online Scheduled Summative Class Test COMPUTING 3 - INTERNET TECHNOLOGY (30 mins) 5

Alternative Assessment

N/A

Assessment Strategy

The assessment strategy is designed to provide students with the opportunity to demonstrate their progress on the full range of learning outcomes applying their skills and knowledge in a variety of authentic contexts.

The summative assessment for this module consists of:

COMPUTING 1 – Excel data analysis & application  (20%); [LO 1]

COMPUTING 2 – MATLAB application (30%); [LO 2]

CONFERENCE PROJECT 1 –  Peer review & feedback (10%) [LO 3, 4, 5]

CONFERENCE PROJECT 2 –  Conference paper (20%) [LO 3, 4, 5]

CONFERENCE PROJECT 3 –  Presentation (15%) [LO 3, 4, 5]

COMPUTING 3 - INTERNET TECHNOLOGY (5%) [LO 5]

Formative assessment

Weekly lab worksheets to assess Excel/Matlab/HTML progress. Embedded questions in Excel e-book. Verbal feedback given in weekly workshop sessions for the conference project.

Feedback

Written feedback as well as detailed individual and cohort contextual quantitative feedback on the Excel and MATLAB assessments.

Written feedback as well as detailed individual quantitative feedback on the conference paper (including web page formatting/use of HTML.)

Written and verbal feedback as well as detailed individual quantitative feedback on the presentation.

Written (automated) feedback on Internet technology test.

Module aims

  • Provide basic introduction to the use of Excel and MATLAB to support laboratory work and engineering calculations
  • Introduce students to presentation design and delivery that make effective use of popular digital technologies
  • Develop student research skills through the use of information and communication technologies and reference management systems
  • Develop critical thinking and problem solving skills in mathematical and computational processes
  • Introduce students to HTML and web page development through the GitHub environment

Learning outcomes

Attributes Developed
001 Perform calculations, analyse data and prepare a customised chart using Microsoft Excel. KCPT
002 Apply MATLAB operations and programming concepts to solve novel problems, create simple mathematical models and prepare graphical representations. KCPT
003 Develop academic skills necessary for preparing a conference style paper and a presentation in the context of a mini Foundation Conference Project KCPT
004 Use digital tools for effective research, information access and referencing to support the preparation of the paper and presentation for the conference project. KCPT
005 Utilise HTML/CSS to develop and host a web page in the GitHub environment. KCPT

Attributes Developed

C - Cognitive/analytical

K - Subject knowledge

T - Transferable skills

P - Professional/Practical skills

Methods of Teaching / Learning

The learning and teaching strategy is designed to use practical computer laboratory sessions to develop a basic understanding of Excel and MATLAB. The conference project involves researching and writing a paper and presentation design and delivery. The topic area relates to the students' area of interest and intended undergraduate progression route.

The learning and teaching methods include:


  • Computer laboratories  – tuition and practical skills development

  • Computing lectures - covering basic knowledge and background information

  • Conference project workshop sessions

  • Conference presentation sessions

  • Peer assisted learning scheme - skills development workshops

  • Guided support sessions

  • Independent learning


Indicated Lecture Hours (which may also include seminars, tutorials, workshops and other contact time) are approximate and may include in-class tests where one or more of these are an assessment on the module. In-class tests are scheduled/organised separately to taught content and will be published on to student personal timetables, where they apply to taken modules, as soon as they are finalised by central administration. This will usually be after the initial publication of the teaching timetable for the relevant semester.

Reading list

https://readinglists.surrey.ac.uk
Upon accessing the reading list, please search for the module using the module code: ENG0018

Other information

N/A

Programmes this module appears in

Programme Semester Classification Qualifying conditions
Physics with Quantum Technologies with Foundation Year BSc (Hons) 1 Compulsory A weighted aggregate mark of 50% is required to pass the module
Physics with Nuclear Astrophysics with Foundation Year BSc (Hons) 1 Compulsory A weighted aggregate mark of 50% is required to pass the module
Physics with Foundation Year BSc (Hons) 1 Compulsory A weighted aggregate mark of 50% is required to pass the module
Physics with Astronomy with Foundation Year BSc (Hons) 1 Compulsory A weighted aggregate mark of 50% is required to pass the module
Civil Engineering with Foundation Year BEng (Hons) 1 Compulsory A weighted aggregate mark of 50% is required to pass the module
Computer and Internet Engineering with Foundation Year BEng (Hons) 1 Compulsory A weighted aggregate mark of 50% is required to pass the module
Electrical and Electronic Engineering with Foundation Year BEng (Hons) 1 Compulsory A weighted aggregate mark of 50% is required to pass the module
Electronic Engineering with Foundation Year BEng (Hons) 1 Compulsory A weighted aggregate mark of 50% is required to pass the module
Electronic Engineering with Computer Systems With Foundation Year BEng (Hons) 1 Compulsory A weighted aggregate mark of 50% is required to pass the module
Electronic Engineering with Nanotechnology With Foundation Year BEng (Hons) 1 Compulsory A weighted aggregate mark of 50% is required to pass the module
Electronic Engineering with Space Systems with Foundation Year BEng (Hons) 1 Compulsory A weighted aggregate mark of 50% is required to pass the module
Biomedical Engineering with Foundation Year BEng (Hons) 1 Compulsory A weighted aggregate mark of 50% is required to pass the module
Aerospace Engineering with Foundation Year BEng (Hons) 1 Compulsory A weighted aggregate mark of 50% is required to pass the module
Automotive Engineering with Foundation Year BEng (Hons) 1 Compulsory A weighted aggregate mark of 50% is required to pass the module
Mechanical Engineering with Foundation Year BEng (Hons) 1 Compulsory A weighted aggregate mark of 50% is required to pass the module
Mathematics with Foundation Year BSc (Hons) 1 Compulsory A weighted aggregate mark of 50% is required to pass the module
Mathematics with Statistics with Foundation Year BSc (Hons) 1 Compulsory A weighted aggregate mark of 50% is required to pass the module
Financial Mathematics with Foundation Year BSc (Hons) 1 Compulsory A weighted aggregate mark of 50% is required to pass the module
Chemical and Petroleum Engineering with Foundation Year BEng (Hons) 1 Compulsory A weighted aggregate mark of 50% is required to pass the module
Chemical Engineering with Foundation Year BEng (Hons) 1 Compulsory A weighted aggregate mark of 50% is required to pass the module
Mathematics and Physics with Foundation Year BSc (Hons) 1 Compulsory A weighted aggregate mark of 50% is required to pass the module
Computer Science with Foundation Year BSc (Hons) 1 Compulsory A weighted aggregate mark of 50% is required to pass the module

Please note that the information detailed within this record is accurate at the time of publishing and may be subject to change. This record contains information for the most up to date version of the programme / module for the 2023/4 academic year.