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.