2021/22 Undergraduate Module Catalogue
COMP3932 Synoptic Project (EPA)
40 creditsClass Size: 40
Module manager: Dr Andy Bulpitt
Email: A.J.Bulpitt@leeds.ac.uk
Taught: Semesters 1 & 2 (Sep to Jun) View Timetable
Year running 2021/22
This module is mutually exclusive with
COMP3931 | Individual Project |
This module is not approved as a discovery module
Module summary
The synoptic project is the culmination of four years of computer science apprenticeship programme at the University and work based experience at PwC. It provides the opportunity for apprentices to demonstrate a mastery of the subject within a commercial environment. This module will see apprentices complete a significant research and/or development project related to their degree programme and pathway (Software Engineer, IT Consultant, Business Analyst, Cyber Security Analyst, Data Analyst or Network Engineer). This End Point Assessment (EPA) module will also see apprentices apply their analysis and evaluation skills to their chosen project in addition to considering the legal, social, ethical and profession components of the project. This module requires apprentices to work alongside academics, in a supervisee/supervisor relationship, and to choose and shape the project with relevant staff at PwC.Objectives
This module will provide students with the opportunity to consolidate four years of computer science studies gained from taught modules and from the placements at PricewaterhouseCoopers.Learning outcomes
On successful completion of this module a student will have demonstrated the ability to:
- work independently (under supervision of an academic / PwC advisor) to complete a significant individual piece of work which meets a real world need through the application of innovation and/or creativity in an appropriate field relevant to their degree programme and pathway.
- consider legal, ethical, social and professional issues concerning their project.
- evaluate reflectively their own performance on the project and the apprenticeship and identify their strengths and weaknesses as professional computer science practitioners.
- apply practical and analytical skills to synthesize information and provide a quality solution accompanied by an evaluation.
Syllabus
This module covers the following 3 topic areas:
- Academic Skills : finding, reading and analysing scholarly publications, evaluating sources,
- Professional Skills : independent working, project management, oral/written communication and reflective learning. Legal, ethical, social and professional issues.
- Project specific knowledge and skills : knowledge and skills specific to the domain of the project and apprenticeship pathway (Software Engineer, IT Consultant, Business Analyst, Cyber Security Analyst, Data Analyst or Network Engineer)
Teaching methods
Delivery type | Number | Length hours | Student hours |
Supervision Meetings | 22 | 1.00 | 22.00 |
Lecture | 7 | 1.00 | 7.00 |
Private study hours | 371.00 | ||
Total Contact hours | 29.00 | ||
Total hours (100hr per 10 credits) | 400.00 |
Opportunities for Formative Feedback
- Project Aims and Minimum Requirements (Initial Plan which needs to be agreed by the Apprentice, University and PwC ;- Mid-Project Report;
- Progress Meeting;
- Regular meetings with supervisor(s) and PwC staff as appropriate.
Methods of assessment
Coursework
Assessment type | Notes | % of formal assessment |
Report | Synoptic Project Report | 100.00 |
Oral Presentation | End of Apprenticeship | 0.00 |
Total percentage (Assessment Coursework) | 100.00 |
Student must pass both component (project report and verbal presentation to pass the module)
Reading list
There is no reading list for this moduleLast updated: 15/03/2022 16:12:19
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- Undergraduate module catalogue
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