ACS402 Industrial training programme (ITP) in Avionics

Module Description (subject to change)

This module has been designed to prepare students for professional practice, via a real industry-led group project and provide insights into the design, intergration and assemble of avionics and related systems. The case studies will be closely matched to modules and topics in the whole of the MEng curriculum. Example topics include the design, assembly and equipping of on-wing fuel systems for digital in-process certification. This includes assessing the impact of equipping process on the performance of fuel systems.
As part of the module students will form groups that will undertake theoretical and practical work and present a report that will require an in-depth literature review and analysis of the results. To supplement the main technical challenge there will be focussed technical seminars on relevant topics. These topics will be provided by both industry led challenges to improve students’ employability skills, data handling, quality and safety in the aerospace materials sector. This module aims to help students to improve their technical, managerial, and entrepreneurial skills.

Credits: 15 (Spring semester)

Please note that this module is exempt from the University’s General Regulations relating to Intellectual Property

Module Leader

Ash Tiwari

Professor Ashutosh Tiwari
Email: a.tiwari@sheffield.ac.uk
Amy Johnson Building

If you have any questions about the module please talk to me during the lectures or the labs in the first instance. It is likely that other students will learn from any questions you ask as well, so don’t be afraid to ask.

Outside of lectures please contact me via email, or drop in to see me.

Learning Outcomes

Learning Outcomes

At the end of the module, the student should be able to:

1) Identify changes in the design and installation of avionics and sensor systems when specific components are manufactured and used in service. [SM1i, SM1p]
2) Identify the approach needed to investigate a specific problem and how to disseminate the findings and handle the data in an effective manner. [SM2i, SM1p, SM2p, EA1i, EA3i, EA1p, EA3m, EA1fl, D1i, D1m]
3) Demonstrate a general understanding of the design and integration of avionics and sensor systems on the aircraft and the appropriate installation processes for the major critical components. [SM2i, SM1p, SM2p, EA1i, EA3i, EA1p, EA3m, EA1fl, D1i, D1m]
4) The module will also contribute to the candidates ability to: accept responsibilities, formulate ideas proactively, deal with open-ended and unfamiliar problems, plan and develop strategies, implement and execute agreed plans, lead and manage teams where required, evaluate achievement against specification and plan, and decision-making. [SM1i, SM2i, SM3p, EA2i, EA4i, EA1p, EA3m, EA1fl, D1m, D1p]

This module satisfies the AHEP3 (Accreditation of Higher Education Programmes, Third Edition) Learning Outcomes that are listed in brackets after each learning outcome above. For further details on AHEP3 Learning Outcomes, see the downloads section of our accreditation webpage.

Syllabus

Syllabus

The syllabus will depend on the group project. It will typically have some level of technical difficulty involving theoretical concepts involving avionics and related systems, and have a significant level of practical/computational topics beyond core avionics concepts such as design, assembly and equipping of on-wing systems.

Teaching Methods

Learning and Teaching Methods

NOTE: This summary of teaching methods is representative of a normal Semester. Owing to the ongoing disruption from Covid-19, the exact method of delivery will be different in 2020/21.

To meet the learning outcomes the basic course content will be delivered by academic lectures, seminars on problems given by industrial partners, and fieldwork through visits to industrial facilities.
Technical seminar and specific lectures by academics supported by supplementary material will be provided on Blackboard (MOLE) for use in independent learning. Independent study is also essential and will enable students to develop deep understanding of the studied area.

Lectures: 12 hours
Seminars: 12 hours
Fieldwork: 20 hours
Independent Study: 106 hours

Teaching Materials

Learning and Teaching Materials

Blackboard (MOLE)

Assessment

Assessment

The assessment is based on three components:
1. Group Evaluation:
• Project plan presentation 15% from the overall mark
• Final presentation of the project 25% from the overall mark
• Written report 45% from the overall mark
2. Individual Evaluation:
• Written self-reflection report 15% from the overall mark
3. Peer review assessment by students
• Each group member will assess the work of his mates. The overall results will be used to moderate 50% of the final mark.

Group Project Report and Group Presentation – Groups will prepare an industry-standard 2000 word report including a summary of their findings and recommendations. Groups will deliver a 20 minute presentation of their project followed by questioning from an expert panel. All group members must contribute to the presentation delivery. Marks for this element will be scaled by peer assessment according to the learning outcomes.

Feedback

Feedback

• Feedback will be continuously provided throughout the semester, via the scheduled tutorial support sessions.
• Assignments/Reports: the marked report is returned marked to the students, along with individual and group feedback as appropriate.

Student Evaluation

Student Evaluation

Students are encouraged to provide feedback during the module direct to the lecturer. Students will also have the opportunity to provide formal feedback via the Faculty of Engineering Student Evaluation Survey at the end of each semester.

You can view the latest Department response to the survey feedback here.

Recommended Reading

Recommended Reading

Recommended reading depends on project topic, and will be advised during the support sessions. Examples include:
[1] R. Gonzalez, R. Woods, S. Eddins: Digital Image Processing Using Matlab, Pearson Prentice Hall, 2009
[2] D.A. Forsyth and J. Ponce, Computer Vision: A Modern Approach, Second Edition, Prentice Hall, 2012
[3] R. Langton, C. Clark, M. Hewitt, and L. Richards: Aircraft Fuel Systems. American Institute of Aeronautics and Astronautics, 2009
[4] V.A. Prabhu: A framework for digitisation of manual manufacturing task knowledge using gaming interface technology. Cranfield University, 2015