Warning

This blog is for a past version of the course, from the 2013–2014 academic year. You may want to go to the current course web pages instead.

Link: Informatics 1: Data & Analysis

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Resit Examination

The second exam sitting for Inf1-DA will be on Thursday 21 August, from 9.30am to 11.30am in Godfrey Thomson’s Hall in Thomson’s Land. This is on the Holyrood Campus, not far from St Leonard’s Land where the main exam was held. Use the link below to confirm details for this and any other exams you are sitting in this diet. The course code for Inf1-DA is INFR08015.

Links: Exam times; Thomson’s Land

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Examination Feedback

The Inf1-DA exam was held on Friday 26 May 2014, with 187 scripts submitted for marking. I’ve written a feedback report on this that includes all the questions, descriptions of solutions, and notes on the different answers submitted by students.

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Examination

The Inf1-DA exam will be on Friday 16 May 2014, starting at 9.30am and running for two hours. It will be held in St Leonard’s Land Games Hall. You can use the link below to confirm details for this and any other exams you are sitting — the course code for Inf1-DA is INFR08015.

Links: Exam times; St Leonard’s Land; History of St Leonard’s Land
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Course Review

This, the final lecture of the course, included information about exam dates, format of the paper, examinable material, past papers, and a summary list of topics covered in the course. I also gave brief reviews of two topics, as selected by student votes: Hypothesis Testing, and the Tuple-Relational Calculus.
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Lecture 19: χ² Testing on Categorical Data

This lecture covered more on hypothesis testing, with a brief review of the apparent correlation between exercise and lack of sleep in the survey data from earlier this term, and working through three examples of the χ2 test.
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Tutorial 8 Solutions and Notes: Statistical Analysis

I have posted the notes for Tutorial 8 to the course web page and NB. As usual, these contain solutions as well as notes on the variety of different answers possible. There’s also a comment about the significance of any correlation found in this tutorial — and the tricky problem of data dredging.

Link: Tutorial exercises on the Inf1-DA web page

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Feedback and Solutions on Coursework Assignment

Thank you to everyone who submitted their completed assignment to the ITO yesterday. Tutors are marking them now, and will return assessed work with feedback in the Week 11 tutorials.

The assignment was a complete exam paper from last year. I have posted a set of feedback notes and solutions for this, based on the answers given by students who took the exam at the time.

Links: Feedback and solutions to April 2013 exam paper (PDF, NB)

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Lecture 18: Hypothesis Testing and Correlation

Where the last lecture was about summary statistics for a single set of data, we now address multi-dimensional data with several linked sets of values among which we might look for correlations. This leads into several more sophisticated questions which are key to the effective application of statistics: how do we identify potential correlations; how do we know when a result is significant; and what might this tell us about any causal connections?
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Tutorial 8: Statistical Analysis

Tutorial 8 exercises are now on the course web page and NB. The task is to carry out certain statistical analyses on data gathered from the anonymous questionnaire taken among Inf1-DA students at the start of semester (remember that?). Because some of this uses material which will only appear in lectures while the tutorial is running, I’ve put up preview versions of slides for the next two lectures on the course web page. You’ll need to look at these to do some of the questions on the sheet.

As usual, the exercise sheet also includes examples and worked solutions taken from past exam papers. I’ve also put up solution notes to Tutorial 7 on the course web page and NB.

If you have questions or comments, do please use NB to post them onto the lecture slides or tutorial notes as appropriate.

Link: Tutorial exercises on the Inf1-DA web page

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