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

Module average grades

We're waiting for Thomas Sharp to read a recent response and update the status.

Dear University College London,

Please could I have the quartiles and mean percentage of the following modules:
STAT0007 Introduction to Applied Probability
STAT0008 Statistical Inference
STAT0009 Stochastic Systems
STAT0010 Forecasting
STAT0011 Decision and Risk
STAT0013 Stochastic Methods in Finance
STAT0014 Medical Statistics 1
STAT0015 Medical Statistics 2
STAT0017 Selected Topics in Statistics
STAT0018 Stochastic Methods in Finance II
STAT0019 Bayesian Methods in Health Economics
STAT0020 Quantitative Modelling of Operational Risk and Insurance Analytics
STAT0023 Computing for Practical Statistics
STAT0024 Social Statistics
STAT0025 Optimization Algorithms in Operational Research

Yours faithfully,
T Sharp

Finance.FOI Requests, University College London

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. 
“You will appreciate that all information requests place some degree of
demand on a public authority’s resources in terms of costs and staff time
and that UCL may need to prioritise resources to other areas, or adapt its
usual approach to information compliance work, in order to meet the
unprecedented challenges we are all facing during the Coronavirus
(COVID-19) pandemic.

 

Therefore, we need to advise you may experience delays in receiving
responses to information rights requests during the Coronavirus (COVID-19)
pandemic.”

 

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 & FOI
Legal Services
UCL

References

Visible links
1. https://www.ucl.ac.uk/legal-services/pri...

Dear University College London,
For the past 3 years (2019, 2020, 2021)

Yours faithfully,

Thomas Sharp

Finance.FOI Requests, University College London

Dear Thomas

 

Thank you for your request for information.

 

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

 

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

Please could I have the quartiles and mean percentage of the following
modules:

STAT0007 Introduction to Applied Probability

STAT0008 Statistical Inference

STAT0009 Stochastic Systems

STAT0010 Forecasting

STAT0011 Decision and Risk

STAT0013 Stochastic Methods in Finance

STAT0014 Medical Statistics 1

STAT0015 Medical Statistics 2

STAT0017 Selected Topics in Statistics

STAT0018 Stochastic Methods in Finance II

STAT0019 Bayesian Methods in Health Economics

STAT0020 Quantitative Modelling of Operational Risk and Insurance
Analytics

STAT0023 Computing for Practical Statistics

STAT0024 Social Statistics

STAT0025 Optimization Algorithms in Operational Research

 

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

 

 

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

Please can you clarify what academic years you want the data for.

********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,

As above:
"
Dear University College London,
For the past 3 years (2019, 2020, 2021)

Yours faithfully,

Thomas Sharp

"

Yours sincerely,

Thomas Sharp

Keyte, Josh, University College London

1 Attachment

Dear Thomas,

 

Thank you for your Freedom of Information request of 1^st December 2021. 

 

We have completed the compilation of information in response to your
request regarding the quartiles and mean percentages of the following
modules for the academic years 2019, 2020 and 2021:

 

STAT0007 Introduction to Applied Probability

STAT0008 Statistical Inference

STAT0009 Stochastic Systems

STAT0010 Forecasting

STAT0011 Decision and Risk

STAT0013 Stochastic Methods in Finance

STAT0014 Medical Statistics 1

STAT0015 Medical Statistics 2

STAT0017 Selected Topics in Statistics

STAT0018 Stochastic Methods in Finance II

STAT0019 Bayesian Methods in Health Economics

STAT0020 Quantitative Modelling of Operational Risk and Insurance
Analytics

STAT0023 Computing for Practical Statistics

STAT0024 Social Statistics

STAT0025 Optimization Algorithms in Operational Research

 

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

 

Whilst UCL is committed to openness and transparency, we are also mindful
of our obligations under the Data Protection regime, and therefore take
steps to anonymise data before it is released. We therefore adopt the
following approach when releasing statistics that relate to people, to
prevent unauthorised disclosure of information that relates to
individuals:

 

•               Percentages that are based on a group of 22 individuals or
less are not provided, and this includes requests for percentile
information about marks.

 

We have identified that there is a risk of the identification of
underlying individuals in the information that you have requested. The
information withheld is personal information 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 Freedom of Information Act 2000 (FOIA) by virtue of
Section 40(3A)(i).

 

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 at the address given below.
You should do this within two 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:

 

Wycliffe House

Water Lane

Wilmslow

SK9 5AF

 

01625 545700

[2]www.ico.org.uk

[3][email address]

 

Kind regards,

 

 

Josh Keyte

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/
3. mailto:[email address]
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 Thomas Sharp please sign in and let everyone know.