Freedom of Information Request for Average Grade Distribution
Dear University College London,
I hope this email finds you well. My name is Yihan Hu, and I am a current student pursuing Data Science at UCL. I am writing to make a formal request for information under the provisions of the Freedom of Information Act 2000.
I am interested in obtaining the average grade distribution of 22/23 semester for the following 8 modules that I have completed during my academic tenure:
1. Module 1: STAT0002: Introduction to Probability and Statistics 22/23
2. Module 2: STAT0003: Further Probability and Statistics 22/23
3. Module 3: STAT0004: Introduction to Practical Statistics 22/23
4. Module 4: STAT0040: Programming Fundamentals 22/23
5. Module 5: MATH0045: Calculus and Linear Algebra 22/23
6. Module 6: MATH0046: Calculus in Several Dimensions 22/23
7. Module 7: INST0001: Database Systems 22/23
8. Module 8: INST0003: Information Systems 22/23
I would also like to request the average grade distribution data for the past 3 years for the following 8 modules that I am planning to study in the upcoming semester:
Upcoming Modules:
1. Module 9: STAT0005: Probability and Inference
2. Module 10: STAT0006: Regression Modelling
3. Module 11: STAT0023: Computing for Practical Statistics
4. Module 12: STAT0041: Algorithms and Data Structures
5. Module 13: STAT0045: Statistical Design and Data Ethics/STAT0024:Social Statistics
6. Module 14: HPSC0017: Science and Ethics
7. Module 15: INST0002: Programming 1
8. Module 16: MATH0047: Advanced Linear Algebra
Specifically, I kindly request information on the average grades awarded, along with any relevant breakdowns such as mean, median, first quartile, third quartile, and the number of candidates that year for each of the mentioned modules.
Please consider this as a formal request under the Freedom of Information Act. I understand sensitive information may not be provided under FOIA 40(2) and 40(3A)(i). If you require any further information or clarification, please feel free to reach out to me at the website.
I understand that there are statutory timeframes for responding to such requests, and I would appreciate your prompt attention to this matter. I am confident that your assistance will greatly contribute to my academic pursuits.
Thank you for your time and consideration. I look forward to your response.
Yours faithfully,
Yihan Hu
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Dear Yihan Hu
Thank you for your Freedom of Information request of 16^th August 2023.
We have completed the compilation of information in response to your
request for information about the average grade distribution for the
following modules for the 2022/2023 semester:
1. Module 1: STAT0002: Introduction to Probability and Statistics 22/23
2. Module 2: STAT0003: Further Probability and Statistics 22/23
3. Module 3: STAT0004: Introduction to Practical Statistics 22/23
4. Module 4: STAT0040: Programming Fundamentals 22/23
5. Module 5: MATH0045: Calculus and Linear Algebra 22/23
6. Module 6: MATH0046: Calculus in Several Dimensions 22/23
7. Module 7: INST0001: Database Systems 22/23
8. Module 8: INST0003: Information Systems 22/23
You would also like the average grade distribution for the past 3 years
for the following modules that you are planning to study in the upcoming
semester:
1. Module 9: STAT0005: Probability and Inference
2. Module 10: STAT0006: Regression Modelling
3. Module 11: STAT0023: Computing for Practical Statistics
4. Module 12: STAT0041: Algorithms and Data Structures
5. Module 13: STAT0045: Statistical Design and Data
Ethics/STAT0024:Social Statistics
6. Module 14: HPSC0017: Science and Ethics
7. Module 15: INST0002: Programming 1
8. Module 16: MATH0047: Advanced Linear Algebra
We can confirm that we do hold information of the description specified in
your request and this information is provided in the attached spreadsheet.
As you will see within the attached spreadsheet, where the percentiles are
based on a group of 22 or fewer individuals, the information has been
withheld (represented as ≤22). This information has been withheld
because, with such low numbers, even providing the information without
names, there is a risk the individuals may be identifiable which means
that these are 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 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 relates 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.
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the Information Commissioner’s Office:
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Kind regards,
Mehwish Sultan
Data Protection and Freedom of Information Adviser
University College London
Legal Services
E: [4][email address] Data Protection: [5][email address] FOI: [6][UCL
request email].
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References
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