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INF2-FDS: S2 Week 2 Workshop - Preparation for critical evaluation

The aim of the S2 Week 2 workshop and the associated preparation is to help you achieve the learning outcome:

  1. Critically evaluate data-driven methods and claims from case studies, in order to identify and discuss a) potential ethical issues and b) the extent to which stated conclusions are warranted given evidence provided.

If you can, please bring a laptop and HDMI dongle with you to the workshop, so that you can all share documents on the screens by your tables.

Instructions for S2 Week 2 Workshop

In the workshop session, you will need to do the following:

  1. Determine which table you are sitting at (the tables are labelled A through to F, anticlockwise from the door of AT5.04). This determines your group.
  2. Have one of you at your table open up the shared spreadsheet for your workshop group using the links in the next section.
  3. At the bottom of the spreadsheet, click on the sheet corresponding to your group.
  4. Locate the materials in Learn →Assessment →Examples of Previous Assessment → Coursework 2 – Critical Evaluation. An explanation of the materials is in the task instructions:
Document
FDS-S2-02-critique-1-prep.pdf (344.48 KB)
  1. Make sure you can see both Sample 1, Sample 2 and the model solution, and agree on a grade for each question using the rubric below.
    • Note that in 2020/21 there were more questions, which this year are grouped together, as indicated in the rubric.
    • We suggest you mark in parallel, e.g. first do 1a,f for all papers, then move onto 1b,c,d
  2. When you're finished, you can look at the "All results sheet in the shared spreadsheet to see how your marking compares with other groups.

Links for spreadsheets (not yet active)

  • Workshop 01, Monday 16:10
  • Workshop 02, Monday 17:10
  • Workshop 03, Tuesday 11:10
  • Workshop 04, Tuesday 12:10
  • Workshop 05, Tuesday 17:10
  • Workshop 06, Wednesday 11:10
License
All rights reserved The University of Edinburgh

Book traversal links for INF2-FDS: S2 Week 2 Workshop - Preparation for critical evaluation

  • INF2-FDS: S2 Week 2 - Logistic regression
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  • INF2-FDS: S2 Week 2 Lab

Navigation links

  • INF2-FDS: Course team
  • INF2-FDS: Schedule
  • INF2-FDS: Course Materials
    • INF2-FDS: S1 Week 1 - Introduction and Data
    • INF2-FDS: S1 Week 2 - Descriptive statistics
    • INF2-FDS: S1 Week 3 - Exploratory data analysis, data communication and visualisation
    • INF2-FDS: S1 Week 4 - Data Ethics, Data Scraping and statistical relationships
    • INF2-FDS: S1 Week 5 - Introduction to supervised learning - Nearest Neighbours
    • INF2-FDS: S1 Week 6 - Linear models
    • INF2-FDS: S1 Week 7 - Coursework 1
    • INF2-FDS: S1 Week 8 - Multiple regression
    • INF2-FDS: S1 Week 9 - Dealing with high dimensions
    • INF2-FDS: S1 Week 10 - Randomness, sampling and simulation
    • INF2-FDS: S1 Week 11 - Estimation and confidence intervals
    • INF2-FDS: S2 Week 1 - Hypothesis testing and A/B testing
    • INF2-FDS: S2 Week 2 - Logistic regression
      • INF2-FDS: S2 Week 2 Workshop - Preparation for critical evaluation
      • INF2-FDS: S2 Week 2 Lab
    • INF2-FDS: S2 Week 3 - Introduction to unsupervised learning - K-means
    • INF2-FDS: S2 Week 4 - Ethical and legal issues in supervised learning
    • INF2-FDS: S2 Week 5 - Regression and inference
    • INF2-FDS: S2 Week 6 - Software engineering for data science
    • INF2-FDS: S2 Week 8 Project writing workshop
    • INF2-FDS: Revision
  • INF2-FDS: Labs
  • INF2-FDS: Workshops
  • INF2-FDS: Resource List
  • INF2-FDS: Assessment
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