ENGINEERING PROFESSIONAL STUDIES 1 - 2023/4
Module code: EEEM053
Module Overview
Expected Prior learning: The coursework in this module is closely linked with the students activities in their 90-credit Extended Project, as appropriate. All the coursework, as far as is practicable, should relate to and complement the project work, by conducting auxiliary studies on issues of wider context.
Module purpose: The module introduces the students to a range of aspects of engineering professional practice which should enable them to see modern electronic engineering in a wider context, encompassing e.g. health and safety, project formulation and planning, contract bidding. It is designed to be closely coupled with the tasks and activities associated with the 90-Credit Extended Project. In particular, the module course work complements and supports the project in terms of professional skills for successful project management. The module is complementary to module EEM055 (Engineering Professional Studies 2) offered in Semester 2.
Module provider
Computer Science and Electronic Eng
Module Leader
WANG Ning (CS & EE)
Number of Credits: 15
ECTS Credits: 7.5
Framework: FHEQ Level 7
Module cap (Maximum number of students): N/A
Overall student workload
Independent Learning Hours: 100
Lecture Hours: 1
Tutorial Hours: 4
Guided Learning: 35
Captured Content: 10
Module Availability
Semester 2
Prerequisites / Co-requisites
None.
Module content
Indicative content includes the following professional skills:
1. Project proposal and high level task organisation
2. Project planning with detailed level task organisation
3. Patent searching and identifying intellectual property rights
4. Setting the test specifications for the validation and conformance of a final product
Assessment pattern
| Assessment type | Unit of assessment | Weighting |
|---|---|---|
| Coursework | PATENT SEARCH | 25 |
| Coursework | PROJECT PROPOSAL | 25 |
| Coursework | PROJECT PLANNING | 25 |
| Coursework | TEST SPECIFICATION | 25 |
Alternative Assessment
N/A
Assessment Strategy
The assessment strategy for this module is designed to provide students with the opportunity to demonstrate the following:
- Ability to conduct state of the art technology and research review
- Ability to plan a technical project and to write project proposals
- Effective project planning
- Knowledge of performance characterisation issues and ability to define system testing specification
Thus, the summative assessment for this module consists of assignments on the following topics.
- Patent search.
- Project proposal.
- Project planning and monitoring.
- Test specification.
Deadlines for these assignments are spaced roughly every three weeks. Please refer to module notes for deadlines.
Formative assessment and feedback
For the module, students will receive formative assessment/feedback in the following ways.
- During the lecture and tutorials, by question and answer sessions
- During meetings with his/her project supervisor
- Via the marking of written reports
- Via assessed coursework
Module aims
- The aim of this module is to provide students with an opportunity to explore the process associated with the planning of a R&D project
Learning outcomes
| Attributes Developed | Ref | ||
|---|---|---|---|
| 001 | Design solutions for complex problems that evidence some originality and meet a combination of societal, user, business and customer needs as appropriate to include consideration of applicable health & safety, diversity, inclusion, cultural, societal, environmental and commercial matters, codes of practice and industry standards | CPT | M5 |
| 002 | Evaluate risks, including commercial. | PT | M9 |
| 003 | Comprehensively understand current engineering practice and predict likely developments, as well as to deal with complex issues both systematically and creatively, to make sound judgements, and communicate their conclusions to specialists and nonspecialists | CT | M16, M17 |
| 004 | Demonstrate extensive understanding of a wide range of engineering materials/components. | KC | M13 |
| 005 | Demonstrate awareness of quality issues | PT | M11 |
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 achieve the specified learning outcomes by teaching the course syllabus in lectures, and by guided learning using on-line resources. The independent study will be supported by setting the coursework in the context of the 90-credit project. The assimilation of knowledge, and transferable professional skills will be acquired through course work involving four assessed items.
Learning and teaching methods include the following.
- Introductory lecture to explain the purpose of the module
- On-line teaching
- Independent study
The student is expected to attend all the course lectures and tutorials before the start of their project. The coursework will be marked against a generic marking scheme defined for each assignment.
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: EEEM053
Other information
The Surrey Pillars relevant to this module are
- Employability: The students will have an opportunity to learn about the state-of-the-art review of technology and research, R&D project proposal writing and project bidding, risk assessment, project reporting, Comprehensive testing and evaluation, and Health and safety which will aid the employability.
- Global and Cultural Intelligence: The module will expose students to research into future technologies and needs of a diversity of users.
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.