COMPUTER LABORATORY - 2020/1

Module code: ENG0018

Module Overview

The module will provide a basic understanding of key software commonly used to support engineering calculations, analysis and presentation. Specifically, attention will be given to the use of Excel (e.g. spreadsheet based calculations and experimental data analysis), PowerPoint (including slide and presentation design and structuring), MATLAB and introduction to discipline specific software where relevant. Students will organise and participate in a mini “FEPS Foundation Conference” in which they will present their research study slideshows

Module provider

Civil and Environmental Engineering

Module Leader

HARRISON Richard (FEPS)

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: 12

Independent Learning Hours: 111

Lecture Hours: 3

Laboratory Hours: 14

Practical/Performance Hours: 10

Module Availability

Semester 1

Prerequisites / Co-requisites

None

Module content

Indicative content includes:

• Excel and data presentation; Excel and functions

• PowerPoint: slide and presentation design; oral presentation skills

• MATLAB: operations and programming basics

Assessment pattern

Assessment type Unit of assessment Weighting
Coursework COURSEWORK 1 - EXCEL DATA ANALYSIS AND APPLICATIONS 1 15
Coursework COURSEWORK 2 - EXCEL DATA ANALYSIS AND APPLICATIONS 2 15
Coursework COURSEWORK 3 - MATLAB APPLICATIONS 1 15
Coursework COURSEWORK 4 - MATLAB APPLICATIONS 2 15
Coursework COURSEWORK 5 - RESEARCH STUDY AND ORAL PRESENTATION 40

Alternative Assessment

N/A

Assessment Strategy

The assessment strategy is designed to provide students with the opportunity to demonstrate the full range of learning outcomes though a mixture of computer laboratory classes and student presentation sessions, coupled with graded problems and applications that reflect engineering and physical science principles.

Thus, the summative assessment for this module consists of:

• Coursework 1 – Excel data analysis & application example 1 (15%); [LO 1]

• Coursework 2 – Excel data analysis & application example 2 (15%); [LO 1]

• Coursework 3 – MATLAB application example 1 (15%); [LO 2]

• Coursework 4 – MATLAB application example 2 (15%); [LO 2]

• Coursework 5 – Research study (20%) and oral presentation (20%) in “Foundation Conference”; [LOs 3, 4]

Formative assessment

Weekly lab worksheets to assess Excel/Matlab/Presentation competence, following use of teaching resources in labs and tutorials/workshops. Verbal feedback given immediately following presentations, chairing roles and peer review of other students’ presentations.

Feedback

Written feedback on the Excel and MATLAB assessments.

Written feedback on the Research study.

Written and verbal feedback on the oral presentation.

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
  • Consolidate learning of some of the semester 1 module content through the use of computer based analysis of data and governing equations

Learning outcomes

Attributes Developed
001 Perform calculations, data analysis, graphing and simple modelling with Excel through the use of formulas, functions and graphical tools CPT
002 Use basic MATLAB operations and programming concepts to solve mathematical problems, create simple mathematical models and prepare graphical representations CPT
003 Design, prepare and deliver technical presentations using PowerPoint in the context of a mini “Foundation Conference” PT
004 Use tools for effective research information access, collation and referencing PT

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 sessions will be integrated with core material from Principles of Engineering & Physical Science (ENG0013) and data from the Engineering & Physical Sciences Laboratory and Project (ENG0014) to contextualise software applications. Presentation design and delivery will also relate to problem / project applications.

The learning and teaching methods include:

• Introductory briefing lectures to software (3 x 1 hour in weeks 1, 5 and 10)

• Computer laboratories (including online learning resources) – tuition and engineering applications (11 hours – 1 hour in week 1 and 2 x 1hr labs in weeks 2 – 11) + 10 x 1 hour guided practical (homework) tasks

• Presentation skills workshops (6 x 1 hour, weeks 6-11)

• Discipline-specific software demonstrations (3 x 1 hour in weeks 1, 4 and 5)

• Research skills workshops (6 x 1 hour, weeks 6-11)

• Independent learning (7 hrs/week)

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
Chemical Engineering With Foundation Year BEng (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
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

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 2020/1 academic year.