MODULE HANDBOOK
ELEE 1168 – Machine Intelligence
2023 - 2024
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Contents
1. Welcome message from your Module Leader 3
2. Key contacts (academic queries) 4
3. Module details and learning outcomes 5
4. Employability 6
5. Schedule of teaching and learning activities 6
6. Assessment 7
7. Resit assessments 9
8. Resource recommendations 10
9. Additional module information 11
10. Digital Student Centre (non-academic queries) 11
11. Changes to the module 12
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1. Welcome message from your Module Leader
Dear Student,
Welcome to this module. The below provides you with a lot of details about this specific module, what it
contains, the assignments and so on. I sincerely hope that you will enjoy this module, and if there would be any
problems/questions, then please get in touch with the module leader in the first instance, who would be more
than happy to help find a solution to the issue.
Regards,
Wim
This handbook provides essential information about this module including the aims and learning outcomes, the
schedule of teaching and learning activities, assessment tasks, resource recommendations and, if applicable,
any additional resources that you will need. Please read it at the start of term so you are aware of key details
and important dates.
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2. Key contacts (academic queries)
The list below provides contact details of the module team.
Module Leader: Dr Wim JC Melis
Location: Pembroke 254
Email: Wim.J.C.Melis@gre.ac.uk
Tel: 01634 883 154
Office hours: See introductory chapter slides & presentation.
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3. Module details and learning outcomes
A detailed schedule of the delivery (what is covered in which week) can be found in the document “Module
Schedule” as made available on the Moodle page of this Module (within the same section as this handbook).
Host faculty: Engineering and Science
Host school: Engineering
Number of credits: 15
Term(s) of delivery: Term 1
Site(s) of delivery: Medway
Pre-requisite modules: None
Aims
This Module aims to help students understand how current technologies manage to assist in their daily
tasks and to what degree these technologies manage to achieve this. When one moves towards more
abstract tasks such as speech recognition and object detection, then there are however significant
challenges. So far, numerous attempts have been made to resolve these challenges, but biological
systems still outperform technology in certain areas. So, how can lessons learned from biology help us to
design and control more intelligent systems.
Learning Outcomes
On successful completion of this module a student will be able to:
1. Analyse, critically reflect and comment on characteristics of biologically inspired algorithms.
2. Demonstrate a detailed ability to compare and design the performance, characteristics, principles
and operation of interactive autonomous systems.
Glossary:
• A pre-requisite module is one that must have been completed successfully before taking this module.
• A co-requisite module is one that must be taken alongside this module.
• A learning outcome is a subject-specific statement that defines the learning to be achieved through
completing this module.
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4. Employability
• This course covers the following employability descriptors at any of the levels, 4, 5 or 6:
• Cognitive Skills (Opportunity for solving problems independently. Opportunity to make sensible
assumptions in real life scenarios. Reflection on skills gained and the impact of the proposed solution.)
• Generic Competencies (Substantial written element emphasising clear formatting, spelling and grammar
within a clear, well-reasoned narrative.)
• Technical Ability (Introduce an extra niche technology or more advanced skills (practical and/or
technology-based) in previous applications. Further reflection on the value of these skills for the
appropriate subject/discipline.)
• Organisational Awareness (Where professional body requirements permit there should be opportunities
for research into current trends and understanding how sectors are linked.)
• Practical and Professional Elements
You can find out more about the Greenwich Employability Passport at: Greenwich Employability Passport for
students.
Information about the Career Centre is available at: Employability and Careers | University of Greenwich.
You can also use LinkedIn Learning to gain access to thousands of expert-led courses to support your ongoing
personal development. More information can be found at: LinkedIn learning | IT and library services
5. Schedule of teaching and learning activities
A detailed schedule of the content of the sessions as planned can be found in the document “Module
Schedule” towards the top of the module’s Moodle page. Please note that the delivery can be subject to
change to accommodate the current cohort and any other (external) factors that could impact on delivery.
The actual mode of delivery will be discussed with you and you will receive up to date information about this as
we move through the module. However, you can expect a rather blended approach with recordings, online
sessions as well as in class sessions.
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6. Assessment
Assessment schedule:
First sit Deadline or Weighting Maximum Marking type Learning
assessments exam period out of length outcomes
100%* mapped to this
assessment.
Essay See coursework 30 7 pages Numeric 1-2
details (ACM)
Examination January 70 Numeric 1-2
*The weighting refers to the proportion of the overall module result that each assessment task accounts for.
Details of exam arrangements will be provided approximately six weeks before the exam period.
Your assessment brief:
Please note that full guidance of all assessments (summative and formative) as well as feedback, marking etc,
for each of your assessments can be found in the document called “Assessment Schedule” available towards
the top of the module’s Moodle page (same section as where you found this document).
Coursework is marked on the understanding that it is the student’s own work on the module and that it has
not, in whole or part, been presented elsewhere for assessment. Where material has been used from other
sources, this must be properly acknowledged in accordance with the University’s regulations regarding
Assessment Misconduct.
Marking, feedback and next steps
To pass this module, you must achieve an overall mark of 50+% and a mark of 40+% for all assessments.
For coursework, the marks and feedback will normally be provided to students within fifteen working days of
the submission deadline. In exceptional circumstances, where there is a delay in providing feedback, you will be
informed by the module leader.
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If you do not pass a module at the first attempt, you will likely be eligible for a resit opportunity on the failed
assessments. The Progression and Award Board (PAB) will decide whether you will be offered an opportunity to
resit. Note that marks on resit assessments are capped at 50% unless extenuation has been applied for and
granted.
For further details on resit assessments, please see section on Resit assessments below.
The assessment and feedback policy can be accessed at Assessment and Feedback Policy.
Academic skills support
In addition to the teaching and learning activities within the module, additional academic skills support,
guidance, and resources are available at the following links:
Academic and Digital Skills support - https://www.gre.ac.uk/academicskills
Academic Integrity - https://libguides.gre.ac.uk/courses/integrity
Guidance on use of AI - https://docs.gre.ac.uk/rep/information-and-library-services/ai-guidance
The IT handbook for new students - https://docs.gre.ac.uk/rep/information-and-library-services/student-
booklet
Strong academic skills will help you to act with academic integrity, honesty, and trust. These are the values on
which academic achievement at the University of Greenwich is based. As a student, you are expected to take
responsibility for the integrity of your own work, including asking for clarification where necessary. Any
improper activity or behaviour which may give you an academic advantage in assessment is considered to be
assessment misconduct. Allegations of assessment misconduct will be considered under the University’s
Assessment Misconduct Procedure and may result in a penalty being imposed. More information about this
procedure can be found at Assessment Misconduct Procedure.
Extenuating circumstances
The University recognises there are times when matters that are unexpected and beyond a student’s control
will impact on their performance and ability to complete assessments within the specified timeframe. Examples
include unforeseen illness, a death in the family, or injury. Guidance on submitting an extenuation claim can be
found at: Extenuating circumstances.
If you have a disability, specific learning difficulty, for example dyslexia, a long-term medical condition or a
mental health condition which might affect your studies and assessments, and you have not already done so,
then we advise that you seek support from the Student Wellbeing Service by contacting wellbeing@gre.ac.uk in
the first instance
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Student Support
The University offers a range of support services including health and medical services, a chaplaincy, disability
and dyslexia support, and mental health & wellbeing support. Support can be accessed at Student Support |
Support and Wellbeing.
External Examiner
The External Examiner for this module is:
Name: Qammer Hussain Abbasi
Institution: University of Glasgow
Please note that the role of the External Examiner is to evaluate the overall standard of assessments on the
module. They are unable to correspond with individual students about their work. If you need to discuss your
marks or feedback, please contact the module leader.
7. Resit assessments
Resit assessments are normally slightly different from the normal assessment to consider the shorter time
frame for this assessment. The standard learning outcomes still apply and if they are a coursework assignment
then they will be due in the week ahead of the resit exams, while the resit exams will normally take place after
term B/2, so in the April/May exam period together with the exams for the Term B/2 modules. An exam
timetable will provide details of the exact date/time.
Please note that details of resit work are communicated to all students after the exam boards, at which point it
is your duty to ensure that you check your result letter and engage with the resit assignments that you need to
take. If it is unclear as to which assignment you need to retake, then please consult your course/programme
leader. As a student it is your responsibility to check what the requirements of the resit assignment are and
ensure that you align with them, they are different from the main assignment and it goes without saying that
doing something different from the resit assignment that was set, will affect your marks.
As part of the resit schedule, you will also be informed if there is a session to ask questions, which is normally
scheduled if multiple students have a resit assignment. Alternatively, please contact the module leader if the
assignments are not clear.
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8. Resource recommendations
The following are suggested readings for the module. Additional, more detailed reading recommendations will
be provided for the module topics.
You can check availability of the resources by using the search tool LibrarySearch at
https://librarysearch.gre.ac.uk.
Must and should read books have a grey background, other books are a could read.
Author Title Publisher ISBN
Melis, W. J.C. Computing: The Current and its Probability Lambert Academic 9783659673566
Based Future Publishing
Theodoridis, S. Machine Learning - Elsevier 978-0-12-801522-
A Bayesian and Optimization Perspective 3
Darwiche, A. Modelling and Reasoning with Bayesian Cambridge 9781107678422
Networks University Press
Mitzenmacher, Probability and Computing Cambridge 9781107154889
M. & Upfal, E. University Press
Silverman, M. P. A Certain Uncertainty Cambridge 9781107032811
University Press
Wolf, M. The Physics of Computing Morgan Kaufmann 9780128093818
Loveland, D. W., Three Views of Logic: Mathematics, Princeton 9780691160443
Hodel, R. E. & Philosophy and Computer Science
Sterrett, S. G.
Capra, F. & The Systems View of Life Cambridge 9781107011366
Luisi, P. L. University Press
Wolfram, S. A New Kind of Science Wolfram Media Inc. 9781579550080
Coecke, B. & Picturing Quantum Processes Cambridge 9781107104228
Kissinger, A. University Press
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Bub, J. Bananaworld – Quantum Mechanics for Oxford University 9780198718536
Primates Press
Cox, B. & The Quantum Universe: Everything that can Penguin Books 9780141980287
Forshaw, J. happen does happen.
Cohen, H. & Handbook of Categorization in Cognitive Elsevier 9780081011072
Lefebvre, C. Science
Swanson, L. W. Brain Architecture Oxford University 9780195378580
Press
Damasio, A. Self Comes to Mind – Vintage Books 9780099498025
Constructing The Conscious Brain
Buzsaki, G. Rhythms of the Brain Oxford University 9780199828234
Press
Rolls, E.T. & The Noisy Brain Oxford University 9780199587865
Deco, G. Press
9. Additional module information
Resources & Costs:
This module does not have any additional resource requirements and/or costs.
10. Digital Student Centre (non-academic queries)
Our new Digital Student Centre is your space to find answers 24/7 to your questions about student life, helping
you get the support you need when you need it. AskUoG provides you with hundreds of up-to-date articles
covering topics such as student engagement, student finance, academic and personal conduct,
accommodation, visa and international student advice, disability, mental health and wellbeing support.
You can also download important documents like bank, student status and council tax letters by visiting My
Documents on the Digital Student Centre (eligibility criteria apply).
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If you can't find the right answer or need more personalised support for your query, you can create an enquiry
and our specialist teams will respond swiftly. You will be able to track your requests and check the status of
your enquiries in real time.
For academic queries, always contact the staff who work with you on your academic programme - your
programme leader, module leader or personal tutor.
11. Changes to the module
At the University of Greenwich, we value feedback from students as well as External Examiners and other
stakeholders and we use this information to help us improve our provision.
Important note: The University of Greenwich will do all that it reasonably can to deliver the module and
support your learning as specified in our handbooks and other information provided. However, under some
circumstances, changes may have to be made. This may include modifications to the:
• content and syllabus of modules, including in relation to placements
• timetable, location and number of classes
• content or method of delivery of your module
• timing and method of assessments.
This might be because of, for example:
• academic changes within subject areas
• the unanticipated departure or absence of members of university staff
• where the numbers expected on a module are so low that it is not possible to deliver an appropriate
quality of education for students enrolled on it
• industrial action by university staff or third parties
• the acts of any government or local authority
• acts of terrorism.
In these circumstances, the university will take all reasonable steps to minimise disruption by making
reasonable modifications. However, to the full extent that it is possible under the general law, the university
excludes liability for any loss and/or damage suffered by any applicant or student due to these circumstances.
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