ENGINEERING PROFESSIONAL STUDIES 2 - 2018/9
Module code: EEEM055
Electrical and Electronic Engineering
WANG N Prof (Elec Elec En)
Number of Credits
FHEQ Level 7
Module cap (Maximum number of students)
Overall student workload
Lecture Hours: 2
|Assessment type||Unit of assessment||Weighting|
|Coursework||X4 MARKED ITEMS||100|
Not applicable: students failing a unit of assessment resit the assessment in its original format.
Prerequisites / Co-requisites
Expected prior/parallel learning: Students necessarily take either module EEEM053 or module EEEM054 before taking this module. This module is closely coupled with the 90-Credit Extended Project. As far as is practicable, the coursework in this module relates to and complements the project work, by requiring auxiliary studies on issues relating to the project's 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. sustainability, environmental considerations, human factors, business operation. The module builds on the related Engineering and Professional Studies module that is compulsory in the preceding Semester. This module is designed to be closely coupled with the 90-Credit Standard Project. In particular, the module coursework complements the project by helping to develop the professional skills needed for successful project management.
R&D project management
Comprehensive testing and evaluation
Wider design issues (human factors, sustainability, environment)
IP and IP protection
Commercial exploitation of R&D
|001||Investigate and define a problem, taking into account constraints such as environmental and sustainability limitations, health and safety and risk assessment. Gain comprehensive understanding of design processes. Ability to critically evaluate current research and advanced scholarship in electronic engineering, and to evaluate methodologies and develop critiques of them. (C,P,T,K)||KCPT|
|002||Understand customer and user needs, including aesthetics, ergonomics and usability.||T|
|003||Generate an innovative design and to demonstrate how established techniques of enquiry are used to create and interpret knowledge in electronic engineering.||CP|
|004||Identify and manage cost drivers.||T|
|005||Demonstrate familiarity with the design process and the methodology of evaluating outcomes.||CP|
|006||Acquire knowledge and comprehensive understanding of management and business practices.||K|
|007||Evaluate risks, including commercial.||P|
|008||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|
|009||Demonstrate extensive understanding of a wide range of engineering materials/components.||K|
|010||Demonstrate understanding of appropriate codes of practice and industry standards.|
|011||Demonstrate awareness of quality issues.||P|
C - Cognitive/analytical
K - Subject knowledge
T - Transferable skills
P - Professional/Practical skills
Indicative content includes the following.
Unit 1: R&D project management
Leadership and management
Day-to-day project management
Progress meetings (see Project reporting below)
Specification of interfaces
Testing and evaluation
Laboratory system testing
User acceptance testing
Alpha and Beta testing,
Contract/requirements testing, acceptance testing
Unit 2: Product development
System design principles
Design for re-use
EMC and Thermal constraints
Unit 3: Commercialisation and exploitation
Commercial risk and risk management
Establishing ownership of ideas
IP and IP protection
IP exploitation arrangements
Unit 4: Standards/Standardisation
Unit 5: Societal impact
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 marked items.
Learning and teaching methods include the following.
Lectures and seminars (10 hours)
On-line courses. (30 hours)
The student is expected to attend all the course lectures before the start of their project. The coursework will be marked against a generic marking scheme defined for each assignment.
The assessment strategy for this module is designed to provide students with the opportunity to demonstrate the following:
Knowledge of performance characterisation issues and ability to define system testing specification
Ability to document a designed system, and to assess wider issues such as human factors
Understanding sustainability issues and the ability to take into account.
Ability to produce a user manual
Ability to generate an exploitation plan
Thus, the summative assessment for this module consists of the following.
Comprehensive system testing specification. (Circa 6 pages) Due Tuesday Week 4
System technical documentation with assessment of human factor and sustainability issues. (6 page maximum) Due Tuesday Week 8
User manual. (3 page maximum) Due Tuesday Week 10
Exploitation plan. (3 page maximum) Due Tuesday Week 12
These deadlines are indicative. For confirmation of exact dates and times, please check the Departmental assessment calendar issued to you.
Formative assessment and feedback
For the module, students will receive formative assessment/feedback in the following ways.
During lectures, by question and answer sessions
During meetings with his/her project supervisor
Via the marking of written reports
Via assessed coursework
Reading list for ENGINEERING PROFESSIONAL STUDIES 2 : http://aspire.surrey.ac.uk/modules/eeem055
Programmes this module appears in
|Computer Vision, Robotics and Machine Learning (EuroMasters) MSc||2||Compulsory||A weighted aggregate mark of 50% is required to pass the module|
|Computer Vision, Robotics and Machine Learning (EuroMasters) MSc||2||Compulsory||Each unit of assessment must be passed at 50% to pass the module|
|Electronic Engineering (EuroMasters) MSc||2||Compulsory||A weighted aggregate mark of 50% is required to pass the module|
|Communications, Networks and Software (EuroMasters) MSc||2||Compulsory||A weighted aggregate mark of 50% is required to pass the module|
|Mobile and Satellite Communications (EuroMasters) MSc||2||Compulsory||A weighted aggregate mark of 50% is required to pass the module|
|Mobile Communications Systems (EuroMasters) MSc||2||Compulsory||A weighted aggregate mark of 50% is required to pass the module|
|Mobile Media Communications (EuroMasters) MSc||2||Compulsory||A weighted aggregate mark of 50% is required to pass the module|
|Nanotechnology and Renewable Energy (EuroMasters) MSc||2||Compulsory||A weighted aggregate mark of 50% is required to pass the module|
|RF and Microwave Engineering (EuroMasters) MSc||2||Compulsory||A weighted aggregate mark of 50% is required to pass the module|
|Satellite Communications Engineering (EuroMasters) MSc||2||Compulsory||A weighted aggregate mark of 50% is required to pass the module|
|Space Engineering (EuroMasters) MSc||2||Compulsory||A weighted aggregate mark of 50% 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 2018/9 academic year.