2023/24 Undergraduate Module Catalogue

CAPE1000 Technical Skills and Applications

20 creditsClass Size: 220

Module manager: Dr N Hondow
Email: N.Hondow@leeds.ac.uk

Taught: Semester 1 (Sep to Jan) View Timetable

Year running 2023/24

This module is not approved as a discovery module

Objectives

On completion of this module, students should be able to create the technical knowledge and skills required to pursue SCAPE programmes of study and enhance students' career prospects.

Learning outcomes
- Be effective users of IT.
- Be able to find and apply, with judgement, information from technical literature and other sources.
- Have developed a range of effective communication skills including written reports and presentations.
- Understand the need for high ethical and professional standards and understand how they are applied to issues facing engineers.
- Understand the principles of risk assessment and of safety management.
- Have a knowledge and understanding of laboratory practice.
- Be able to design, plan and undertake experimental and critically interpret, analyse and report on experimental data.
- Recognise the importance of project planning and time management and have acquired a range of experience in achieving these.

Skills outcomes
Information skills: gathering and using information; referencing and plagiarism; critical analysis.
Communication skills: technical writing; literature reviews; report writing; oral presentation.
Data analysis and presentation: IT skills: use of software: MS Word, MS Power Point, MS Excel.
Engineering Applications: carry out a risk assessment, obtain data and then analyse them.
Team working skills: researching information as a team, organising and planning tasks within a team, prepare and deliver an oral presentation as a team.

Syllabus

- Lectures on information skills (information gathering, referencing and plagiarism); writing skills (technical report writing); health and safety and risk assessment; data analyses and presentation (visual presentation of data; statistics - distributions and their description; data acquisition; error analysis and handling; analysing and modelling of statistical data); practical briefings.
- Practical on information skills (information gathering); practical on IT skills (statistical analyses, Excel software), seminar on ethics, experiments designed to provide sufficient results for report compilation and data analysis.
- Lectures on engineering ethics: decision making, group and individual responsibility;
- Group project assignment.

Teaching methods

Delivery type	Number	Length hours	Student hours
Presentation	2	2.00	4.00
Group learning	8	1.00	8.00
Lecture	10	1.00	10.00
Practical	2	2.00	4.00
Practical	4	1.00	4.00
Tutorial	15	1.00	15.00
Independent online learning hours			5.00
Private study hours			150.00
Total Contact hours			45.00
Total hours (100hr per 10 credits)			200.00

Private study

As a result of the teaching and assessments, the students are expected to:
- Prepare for lectures, lab practicals, computer practicals
- Write reports following experiments in lab practicals
- Meet as a group to collect, analyse and discuss research findings
- Write a group report
- Prepare and practice a group oral presentation

Opportunities for Formative Feedback

Discussions during classes.
Practicals during the experiments - discussion with lecturers, demonstrators and technical staff.
Feedback given on lab practical report assignments.
Regular meetings with group supervisors and subsequently oral presentations and report writing.

Methods of assessment

Coursework

Assessment type	Notes	% of formal assessment
Group Project	Group project	35.00
Presentation	Presentation	10.00
Report	Report	50.00
In-course MCQ	Test	5.00
Total percentage (Assessment Coursework)		100.00

Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated

Reading list

The reading list is available from the Library website

Last updated: 28/04/2023 14:55:29

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