EXPERIMENTAL & TRANSFERABLE SKILLS - 2020/1
Module code: ENG1067
Engineers need to develop a variety of experimental, transferable and programming skills as part of their education and on-going professional development. This module introduces the concepts of experimental and transferable skills. In particular (i) laboratory skills, (ii) basic data handling skills, (iii) basic programming skills and (iv) presentation skills, are included.
The laboratory part of this module is designed both to support learning in other parts of the FHEQ level 4 curriculum, through practical experiments, and also to further develop generic and transferable skills, including practical laboratory skills, data handling, a basic understanding of experimental uncertainty and scientific writing. Working as part of a group is an integral part of the laboratories.
Some basic data handling and programming skills are covered, including: Using mathematical formulae and functions in Excel, creating academically appropriate graphs using MS Excel; An introduction to Matlab including: variables, assignments, operators, built-in functions and plotting, Matlab scripts, m-files, indentation, commenting, for- and while- loops and if-conditions + Boolean variables, arrays and matrices, user-defined functions.
Presentation skills are introduced by participation in small group seminars where each participant (i) delivers a pre-prepared 10-minute presentation, (ii) chairs a presentation and (iii) provides real-time oral feedback on a presentation. These presentations introduce basic aspects of the economic, legal, social, ethical and environmental contexts in which professional engineers operate.
Mechanical Engineering Sciences
HILDITCH Mary (Mech Eng Sci)
Number of Credits: 15
ECTS Credits: 7.5
Framework: FHEQ Level 4
JACs code: H900
Module cap (Maximum number of students): N/A
Indicative content includes:
1. Laboratory Experiments
6 laboratory experiments will be conducted in small groups. These experiments are complementary to the wider FHEQ level 4 curriculum.
2. Lectures 3 lectures: An Introduction to Laboratory Skills (1 hour), PowerPoint and Oral Presentations (1 hour). Laboratory Skills and Report Writing (1 hour).
3. Skills Tutorials
There are 8 tutorials in which data handling and basic programming skills are developed through formative exercises. 2 tutorials use Excel exercises to reinforce data handling and presentation, as needed for laboratory sessions and reports. 6 tutorials develop Matlab skills to explore basic programming skills, data handling and manipulation and data presentation.
4. Presentation Tutorials
6 hours of student-led oral presentations. These presentations introduce basic aspects of the economic, legal, social, ethical and environmental contexts in which professional engineers operate.
5. Independent Study
Students should typically spend c. 120 hours of time on independent study for this module. This includes:-
preparation for laboratories, reviewing laboratory results, planning report writing, completing formative assessments for Matlab and Excel including studying notes and watching on-line lectures (6 hours) provided for course, researching presentation topic and other personally directed skill development.
|Assessment type||Unit of assessment||Weighting|
|Coursework||LABORATORY PREPARATION AND PARTICIPATION||20|
|Coursework||LABORATORY REPORTS (2)||30|
|School-timetabled exam/test||ONLINE TEST: MATLAB/PROGRAMMING (1 HOUR)||20|
Laboratory reports (2):two full laboratory write-ups. Laboratory preparation and participation : i) written answers or on-line quiz requiring background research for two different experiments and (ii) a report on the performance of one laboratory accounting for the nature and minimisation of experimental error. Online test: Identical style to the original UoA Presentation sessions: (i) a research exercise that is similar to the normal assessment, (ii) a PowerPoint submission and (iii) a 10-minute audio narrative of the delivery of the talk.
The assessment strategy is designed to provide students with the opportunity to demonstrate their ability to
- Undertake basic research and preparation prior to a practical investigation
- Carry out laboratory experiments and analyse and discuss results, including identification of sources of experimental uncertainty
- Produce written technical reports to a prescribed formal style
- Use MS Excel and Matlab to address problems that require data manipulation and handling and repetitive use of mathematical functions.
- Present engineering data in a formal academic manner using MS Word, MS Excel, MS PowerPoint and Matlab as appropriate for a specific context.
- Produce a short formal oral presentation and learn from the experience of taking part in a series of presentations
Thus, the summative assessment for this module consists of:
- Preparation, participation and review for each experiment (approximately weekly)
Learning outcomes 1, 2 , 3. 20%
- Production of two lab reports
Learning outcomes 1, 2, 3 ,4. 30%
- A 1 hr test which requires the use of Matlab to perform basic calculations and data handling.
Learning outcomes 1, 4. 20%
- Prepare and deliver a short (10 min) formal oral presentation. Participate in 6 weeks of presentation sessions to experience the broader context of academic presentations, including experience of chairing a meeting and providing real-time oral feedback.
Learning outcomes 3, 5, 6. 30%
Formative assessment and feedback
- In every laboratory session, students have face-to face discussions with the experiment supervisor.
- Written feedback on the lab reports is returned within about 2 weeks, to enable feed-forward to the writing of the next report, and is formative as well as summative.
- Staff and PGs give formative feedback in the tutorials as the students undertake a diverse range of tasks involving basic academic presentation skills, basic programming, data presentation and data handling.
- The feedback given after each presentation provides an on-going formative experience on oral presentation skills.
- A basic introduction to economic, legal, social, ethical and environmental contexts in which professional engineers operate.
- Laboratory experience which reinforces and illustrates wider aspects of the FHEQ level 4 engineering curriculum.
- Basic training in experimental approaches, including the handling of data and identification of the likely contributions to experimental uncertainty by error.
- Experience in working as part of a team
- An introduction to basic programming/Matlab.
- Knowledge and experience of using standard MS Office products to support academic writing and data analysis and presentation.
- Knowledge and experience of how to present information in a formal professional context.
- An introduction to basic report writing skills commensurate with FEHQ level 4
|001||UK-SPEC: SM1b,SM2b, EA1b, EA3b, D6, EL1, EL2, EL4, EL5, EL6, P3, P4,P8,G1 Upon successful completion of the module, you will be able to: Demonstrate an ability to prepare, perform and effectively report experimental investigations, both individually and as part of a team, analysing and interpreting experimental data while working with experimental uncertainty; SM1b,SM2b, EA1b, P3,P8 C,K,T||KCT|
|002||Demonstrate an awareness of the principles and importance of experimental measurement and related health & safety and risk issues; EL6, P3 C,T||CT|
|003||Conduct academic research demonstrating knowledge of the resources and the ability to handle them with academic integrity; EL1, P4, G1 P,T||PT|
|004||Use MS Word MS Excel and Matlab in support of your academic studies, especially in handling experimental data; SM2b, EA1b, EA3b, G1 C,T||CT|
|005||Structure and deliver a short oral presentation, chair presentations and provide verbal feedback after a presentation; D6, G1P,T||PT|
|006||Demonstrate understanding of the commercial context and the importance of professional & ethical conduct in engineering. EL1, EL2, EL4, EL5 P,T||PT|
C - Cognitive/analytical
K - Subject knowledge
T - Transferable skills
P - Professional/Practical skills
Overall student workload
Independent Study Hours: 121
Lecture Hours: 3
Tutorial Hours: 14
Laboratory Hours: 12
Methods of Teaching / Learning
The learning and teaching strategy is designed to
- Give students a basic grounding in experimental procedure and scientific/technical report writing.
- Reinforce engineering science concepts taught in other modules though practical experimentation and demonstration.
- Give students a basic grounding in the use of MS Excel, MS PowerPoint and Matlab to produce (i) appropriately formatted academic writing, (ii) appropriately presented engineering data, (iii) simple formal presentations, (iv) implement simple programmes
- Give students the experience of participating in all aspects of formal oral presentations.
- Introduce wider aspects of the context in which professional engineers operate.
The learning and teaching methods include:
- Introductory briefing lectures on lab work and presentations, 3 hrs total
- 6 x 1-2 hrs/wk laboratory sessions in small groups; including a guided introduction to experiment and apparatus, group work on experiment itself to obtain results and discuss conclusions and an assessed review of session preparation and outcomes.
- Production of 2 full laboratory reports, following written and oral guidance given on report production
- IT-lab based tutorials using Excel and Matlab, 8 hrs total
- (Optional) On-line lecture course for Matlab (6 hours) - to compliment course notes and tutorial sessions
- Preparation and delivery (1 hr/wk, for 6 wks) of an oral presentation as part of series of student lead seminars
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 for EXPERIMENTAL & TRANSFERABLE SKILLS : http://aspire.surrey.ac.uk/modules/eng1067
Programmes this module appears in
|Biomedical Engineering BEng (Hons)||2||Compulsory||A weighted aggregate mark of 40% is required to pass the module|
|Aerospace Engineering BEng (Hons)||2||Compulsory||A weighted aggregate mark of 40% is required to pass the module|
|Automotive Engineering MEng||2||Compulsory||A weighted aggregate mark of 40% is required to pass the module|
|Automotive Engineering BEng (Hons)||2||Compulsory||A weighted aggregate mark of 40% is required to pass the module|
|Aerospace Engineering MEng||2||Compulsory||A weighted aggregate mark of 40% is required to pass the module|
|Biomedical Engineering MEng||2||Compulsory||A weighted aggregate mark of 40% is required to pass the module|
|Mechanical Engineering BEng (Hons)||2||Compulsory||A weighted aggregate mark of 40% is required to pass the module|
|Mechanical Engineering MEng||2||Compulsory||A weighted aggregate mark of 40% 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.