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Summary of grades for optional engineering IEP modules

Andrew Zhao made this Freedom of Information request to University College London Automatic anti-spam measures are in place for this older request. Please let us know if a further response is expected or if you are having trouble responding.

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Dear University College London,

May I please request the mean and median marks as well as marks by percentile (including 25th, 50th, 75th, 90th, 95th and 99th percentiles) for the following UCL modules for the academic years 2021/2022 and 2022/2023. Please also include the number of students taking each module:

All the IEP modules, for the past 7 years

COMP0015 Introduction to Programming
COMP0035 Applied Software Engineering
COMP0034 Application for Programming for Data Science
CENG0014 Inorganic Chemistry for Engineers
CENG0021 Organic Chemistry for Engineers
CENG0022 From Molecules to Molecular Engineering
MPHY0005 Physics of the Human Body
MPHY0015 Physiological Monitoring
MPHY0039 Applications of Biomedical Engineering
ELEC0017 Connected Systems
ELEC0032 Networking Systems
ELEC0033 Internet of Things
SECU0009 Understanding the Crime Event
SECU0016 Security Technologies
SECU0049 Cybercrime
STEP0001 Introduction to Science, Technology and Democracy
STEP0002 Engineering for Society: Practicing Policy Entrepreneurship
STEP0024 Science Funding and Governance
ENGF0015 Engineering Design in Society
HPSC0142 Responsible Design: Engineering Engagement
HPSC0143 Responsible Design: Engineering Action
MSIN0144 Entrepreneurship: Theory and Practice
MSIN0060 Global Entrepreneurship
MSIN0047 Entrepreneurial Finance
CEGE0010 Introduction to Environmental Engineering
CEGE0022 Water and Wastewater Treatment
CEGE0064 Waste and Resource Efficiency
MSIN0066 Management Accounting for Engineers
MSIN0171 Financial Management for Engineers
MSIN0170 Strategic Performance Management
COMP0014 Intelligent Systems
COMP0036 Machine Learning and Neural Computing
COMP0037 Robotic Systems
MSIN0048 Understanding Management
MSIN0179 Project Management for Engineering
MSIN0053 Mastering Entrepreneurship
MSIN0059 Managerial Accounting for Decision Making
BENG0011 Manufacturing Regenerative Medicines: from Lab Bench to Industry
BENG0032 Advanced Materials, Devices and Manufacturing Processes for Regenerative Medicine
BENG0085 Design and Manufacture of Regenerative Medicine Drug Products
BENG0019 Engineering Mathematics in Finance
BENG0095 Data Mining and Analysis
BENG0091 Stochastic Calculus and Uncertainty Analysis
ELEC0018 Introduction to Nanotechnology
ELEC0031 Nanoscale Processing and Characterisation for Advanced Devices
ELEC0035 Advanced Nanotechnology and Nanosystems
MECH0019 Ocean Engineering Fundamentals
CEGE0023 Offshore and Coastal Engineering
MECH0030 Maritime Design
ELEC0129 Introduction to Robotics
ELEC0144 Machine Learning for Robotics
ELEC0145 Robotics in Medicine and Industry
BENG0026 Tech Journalism: Writing, Researching, and Reporting News in Technology, Science and Engineering
MSIN0035 Engineering, Technology and Innovation: The Long View
BENG0027 Advanced Tech Journalism: Analysis and Commentary in Technology, Science and Engineering
Yours faithfully,
Andrew

Finance.FOI Requests, University College London

If you have submitted a Freedom of Information request please accept this
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For details on how we use your personal information, please see UCL's
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Finance.FOI Requests, University College London

Dear Andrew

 

Thank you for your request for information.

 

In order to proceed with your request below, we need clarification and
this is mentioned below.

 

Please provide the requested clarification within 20 working days of this
email.

 

********FOI********

May I please request the mean and median marks as well as marks by
percentile (including 25th, 50th, 75th, 90th, 95th and 99th percentiles)
for the following UCL modules for the academic years 2021/2022 and
2022/2023. Please also include the number of students taking each module:

 

All the IEP modules, for the past 7 years

 

COMP0015 Introduction to Programming

COMP0035 Applied Software Engineering

COMP0034 Application for Programming for Data Science

CENG0014 Inorganic Chemistry for Engineers

CENG0021 Organic Chemistry for Engineers

CENG0022 From Molecules to Molecular Engineering

MPHY0005 Physics of the Human Body

MPHY0015 Physiological Monitoring

MPHY0039 Applications of Biomedical Engineering

ELEC0017 Connected Systems

ELEC0032 Networking Systems

ELEC0033 Internet of Things

SECU0009 Understanding the Crime Event

SECU0016 Security Technologies

SECU0049 Cybercrime

STEP0001 Introduction to Science, Technology and Democracy

STEP0002 Engineering for Society: Practicing Policy Entrepreneurship

STEP0024 Science Funding and Governance

ENGF0015 Engineering Design in Society

HPSC0142 Responsible Design: Engineering Engagement

HPSC0143 Responsible Design: Engineering Action

MSIN0144 Entrepreneurship: Theory and Practice

MSIN0060 Global Entrepreneurship

MSIN0047 Entrepreneurial Finance

CEGE0010 Introduction to Environmental Engineering

CEGE0022 Water and Wastewater Treatment

CEGE0064 Waste and Resource Efficiency

MSIN0066 Management Accounting for Engineers

MSIN0171 Financial Management for Engineers

MSIN0170 Strategic Performance Management

COMP0014 Intelligent Systems

COMP0036 Machine Learning and Neural Computing

COMP0037 Robotic Systems

MSIN0048 Understanding Management

MSIN0179 Project Management for Engineering

MSIN0053 Mastering Entrepreneurship

MSIN0059 Managerial Accounting for Decision Making

BENG0011 Manufacturing Regenerative Medicines: from Lab Bench to Industry

BENG0032 Advanced Materials, Devices and Manufacturing Processes for
Regenerative Medicine

BENG0085 Design and Manufacture of Regenerative Medicine Drug Products

BENG0019 Engineering Mathematics in Finance

BENG0095 Data Mining and Analysis

BENG0091 Stochastic Calculus and Uncertainty Analysis

ELEC0018 Introduction to Nanotechnology

ELEC0031 Nanoscale Processing and Characterisation for Advanced Devices

ELEC0035 Advanced Nanotechnology and Nanosystems

MECH0019 Ocean Engineering Fundamentals

CEGE0023 Offshore and Coastal Engineering

MECH0030 Maritime Design

ELEC0129 Introduction to Robotics

ELEC0144 Machine Learning for Robotics

ELEC0145 Robotics in Medicine and Industry

BENG0026 Tech Journalism: Writing, Researching, and Reporting News in
Technology, Science and Engineering

MSIN0035 Engineering, Technology and Innovation: The Long View

BENG0027 Advanced Tech Journalism: Analysis and Commentary in Technology,
Science and Engineering

********FOI********

 

********CLARIFICATION********

Please can you confirm the module codes for ‘All the IEP modules, for the
past 7 years’.

********CLARIFICATION********

 

I look forward to hearing from you.

 

Kind regards,

 

Josh

 

Josh Keyte

Data Protection and Freedom of Information Adviser

University College London

Legal Services

Data Protection: [1][email address] FOI: [2][UCL request email]

 

References

Visible links
1. mailto:[email address]
2. mailto:[UCL request email]

Dear Finance.FOI Requests,

The module code is the 8 character code on the left of the list and the names of the module are on the right.

Yours sincerely,

Andrew Zhao

Finance.FOI Requests, University College London

1 Attachment

Dear Andrew Zhao

 

Thank you for your freedom of information request of 14 January.

 

We have completed the compilation of information in response to your
request for the mean and median marks as well as marks by percentile
(including 25th, 50th, 75th, 90th, 95th and 99th percentiles) for the UCL
modules listed in your request for the academic years 2021/2022 and
2022/2023.

 

We can confirm that we do hold information of the description specified in
your request and this information is provided embedded in the document
attached.

 

As you will see within the attached PDF, where the number of students
taking the module are 5 or fewer (indicated by the symbol ≤5), the mean
equates to a number of individuals that is 7 or fewer (indicated by the
symbol ≤7) and the percentiles (and median) are based on a data set of 22
or fewer total students (indicated by the symbol ≤22), the information has
been withheld because, with such low numbers even providing this
information without names, it may be possible to identify the individuals,
which would make this personal data of third parties or, if linked with
other personal identifiers in the public domain, would be likely to become
personal data. This information has been withheld under Section 40(2) of
the FOIA by virtue of Section 40(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. In this case, we
believe that the requested information could relate to and identify
individuals and therefore would be personal data. The disclosure of these
personal data would not be within the reasonable expectations of the
individuals concerned and it would be unfair to do so; this therefore
breaches the first Data Protection principle.

 

As the Section 40(2) exemption is an absolute one, there is no need to
conduct a public interest test.

 

You are free to use any information supplied for your own use, including
for non-commercial research purposes. The information may also be used for
the purposes of news reporting. However, any other type of re-use, for
example by publishing or issuing copies to the public, will require the
permission of the copyright owner.

 

If you are unhappy with our response to your request and wish to make a
complaint or request a review of our decision, please email
[1][email address]. Emails should include the words ‘Internal
Review’ in the subject and be marked For the Attention of the
Vice-President (Operations), alternatively you should write to:

 

Vice-President (Operations)

University College London

Gower Street

London

WC1E 6BT

 

Please note, complaints and requests for internal review received more
than two months after the initial decision will not be handled.

 

If you are not content with the outcome of the internal review, you may
apply directly to the Information Commissioner by using the following web
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months of our final decision.

 

If you have any queries or concerns, please contact me using the details
provided in this letter and including the request reference number.

 

Further information on the Freedom of Information Act is available from
the Information Commissioner’s Office:

 

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Water Lane

Wilmslow

SK9 5AF

 

0303 123 1113

[3]https://ico.org.uk/

 

Kind regards

Greta

 

Greta Cicchetti

Data Protection and Freedom of Information Adviser

University College London

Legal Services

Data Protection: [4][email address] FOI: [5][UCL request email]

References

Visible links
1. mailto:[email address]
2. http://www.ico.org.uk/foicomplaints
3. https://ico.org.uk/
4. mailto:[email address]
5. mailto:[UCL request email]

We don't know whether the most recent response to this request contains information or not – if you are Andrew Zhao please sign in and let everyone know.