MEng Robotics and AI and Computer Science Module Average
Dear University College London,
I would like to request per module average (results/grades) and 5th, 25th, 75th and 95th percentile scores for all modules taken last academic year 23/24 by 1st year MEng Robotics and AI student and Computer Science students.
This would be really helpful. Thanks a lot.
Yours faithfully,
Dan Clayton
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Dear Dan,
Thank you for your request made under the Freedom of Information Act 2000 (FOIA).
We are currently processing your request, and we require some clarification in order to provide you with our response.
Could you please provide us with the specific modules (Module Code or Module Name) that you would like this information on?
Kind regards,
Fawwaz Noibi
Data Protection and Freedom of Information Administrator
Data Protection Office
Office of the General Counsel
University College London
Tel: 020 3108 6389 (ext. 56389)
Email: [email address]
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Dear Finance.FOI Requests,
Thank you so much for your response! Please see below the list of all module names and codes.
CS Modules
Year 1
COMP0002: Principles of Programming [T1]
COMP0147: Discrete Mathematics for Computer Scientists [T1]
ENGF0001: Engineering Challenges
ENGF0034: Design and Professional Skills I (Computer Science)
COMP0003: Theory of Computation [T2]
COMP0004: Object-Oriented Programming [T2]
COMP0005: Algorithms [T2]
COMP0011: Introductory Mathematics for Computer Science [T2]
Year 2
COMP0008: Computer Architecture and Concurrency
COMP0009: Logic
COMP0010: Software Engineering
COMP0199: Intermediate Mathematics for Computer Science
COMP0016: Systems Engineering
COMP0141: Security
Year 3
COMP0012: Compilers
COMP0017: Computability and Complexity Theory
COMP0024: Artificial Intelligence and Neural Computing
COMP0021: Interaction Design
COMP0142: Machine Learning for Domain Specialists
COMP0169: Machine Learning for Visual Computing
COMP0039: Technology Entrepreneurship
COMP0027: Computer Graphics
COMP0025: Introduction to Cryptography
Robotics and AI Modules
COMP0202: Mathematics for Robotics and Artificial Intelligence 1 [T1]
COMP0203: Introduction to Mechanical Systems [T1]
COMP0204: Introduction to Programming for Robotics and Artificial Intelligence [T1]
COMP0205: Mechatronics and Making [T1]
COMP0206: Mathematics for Robotics and Artificial Intelligence 2 [T2]
COMP0207: Introduction to Electronics [T2]
COMP0208: Control 1 [T2]
COMP0209: Data Structures and Algorithms [T2]
I look forward to hearing from you!
Yours sincerely,
Dan Clayton
If you have submitted a Freedom of Information request please accept this
email as acknowledgement that your request has been received. You should
expect a response from us within 20 working days.
For details on how we use your personal information, please see UCL's
general privacy notice:
[1]www.ucl.ac.uk/legal-services/privacy/general-privacy-notice
Data Protection Office
Office of General Counsel
References
Visible links
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Dear Dan,
Thank you for your request for information made under the Freedom of
Information Act (FOIA) 2000.
We confirm that we hold some of the information of the description
specified in your request; please see our response below and the attached
document.
Your request
I would like to request per module average (results/grades) and 5th, 25th,
75th and 95th percentile scores for all modules taken last academic year
23/24 by 1st year MEng Robotics and AI student and Computer Science
students.
Our response
We do not hold all of the information in the format you have requested
(5^th, 25^th, 75^th, and 95^th percentile scores) and we are unable to
provide you with individualised bespoke data because this would constitute
us creating new data. However, we have a standard set of data which
displays module results in deciles (sections for each 10% of the possible
score a student could achieve.
The table in the attached document shows the mean mark, and the number of
1^st year Robotics and Artificial Intelligence MEng, and Computer Science
MEng students who completed modules (broken down into 10-point deciles),
and the marks they achieved in the 2022/23, and 2023/24 academic years.
Please note the following:
• The figure under each mark range (00.01-9.99, 10.00-19.99, 20.00-29.99
etc.) is the number of students who achieved that specific range of
marks. For example, with regards to the module code ‘COMP0002’, this
shows that 23 students achieved a mark between 50.00-59.99. Similarly,
for the same module code, 27 students achieved a mark between
70.00-79.99.
• As you can see, we are unable to disclose the exact number of
students where 5 or fewer achieved a specific range of marks.
This is because to provide the exact numbers may inadvertently lead to the
identification of these individuals. Whilst there are no personally
identifiable details within the data being withheld, that data, when
combined with other data that may already be available in the public
domain, could be used by ‘motivated intruders’ and other knowledgeable
third parties to identify the individuals concerned. Linking together
separate strands of data available in this way can indirectly lead to an
individual being identified which would breach the first data protection
principle. Further, these individuals would have no expectation that their
identities, by virtue of disclosing this type of information, would be
made known to the wider public and it would be considered unfair to do so.
As this data would be likely to become personal data, this information is
exempt from disclosure and has been withheld under section 40(2) of the
FOIA by virtue of s40(3A)(a). Section 40(2) of the FOIA allows a public
authority to withhold information under the FOIA where (i) the requested
information is personal data relating to someone other than the requester
and (ii) its disclosure would breach any of the data protection
principles.
It is for these reasons that this information is exempt under section
40(2) of the Act. As the section 40(2) exemption is absolute, there is no
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Kind regards,
Fawwaz Noibi
Data Protection and Freedom of Information Administrator
Data Protection Office
Office of the General Counsel
University College London
Tel: 020 3108 6389 (ext. 56389)
Email: [5][email address]
Please consider the environment before printing this email.
Confidentiality and Legal Privilege: The contents of this email and its
attachment(s) are confidential to the intended recipient and may be
legally privileged. They are not to be disclosed, copied, forwarded, used
or relied upon by any person other than the intended addressee. If you
believe that you have received the e-mail and its attachment(s) in error,
you must not take any action based on them and you must not copy or show
them to anyone. Please respond to the sender and delete this email and its
attachment(s) from your system.
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