Exam Paper

Picture of exam cover sheetCongratulations to everyone who followed through Inf1-DA this year. I understand some students were asked to leave question papers in the exam hall, while others took them away. There was no need for the invigilators to do this, although there are other courses that retain these. For everyone who left their exam paper behind but would still like to review the questions, I’m posting a copy here.

  • This is not the precise PDF used in the exam, so there may be discrepancies. If you find any differences, please let me know.

I won’t write the feedback report until marking is complete. However, you are welcome to ask questions and discuss your own solutions over on the Piazza group.

The pass mark is 40%. Students scoring below this may be able to sit another exam in the August diet: contact your Personal Tutor once results are out.

Links: Exam Questions; Piazza discussion

Exam Information

I’ve posted more information about Monday’s exam to the exams web page, based on queries on the Piazza group:

  • There are two exam halls, divided by surname;
  • The exam is closed-book;
  • Please write in blue or black ink, with pencil for diagrams;
  • Bring a scientific calculator from the permitted list.

Results are published on EUCLID, usually within a week of the Board of Examiners meeting. This year that meeting is timetabled for 9 June, so you should know your results for Informatics courses by Friday 17 June. Other Schools will have different timetables.

If your examination performance on the day is seriously affected by circumstances outside your control, then tell your Personal Tutor about this as soon as possible. They can, if appropriate, help you prepare and submit a Special Circumstances case to be taken into account by the Board of Examiners. This can only be done before the Board meeting, so please don’t wait until after the results are out — that’s too late.

Get some rest this weekend, and I wish you well for Monday.

Link: Information about Inf1-DA exams

Tutorial Notes: Statistical Analysis

Notes on solutions for this week’s tutorial are now online. Tutors are marking coursework submissions, and will return them with feedback in next week’s tutorial.

Thanks to everyone who contributed to the revision topics poll. There was strongest interest in material from the earlier parts of the course, so I’ll pick some past questions in that area to go over in lectures.

Link: Tutorial notes

Lecture 18: Hypothesis Testing and Correlation

Title slideWhere 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 effects like correlation; how do we know when we have found evidence for an effect; and what might this tell us about any causal connections?
Continue reading Lecture 18: Hypothesis Testing and Correlation

Tutorial Exercises: Update

The sheet of exercises for Tutorial 8 posted last night had some confusion about whether Question 2 was measuring sleep or exercise hours. This was my error. It’s now corrected, and there’s a revised version online in the usual place. My apologies: thanks to the student raising this on Piazza, and to Fabian for fixing this up.

Tutorial Exercises: Statistical Analysis

Exercises for Tutorial 8 are now online, as well as notes on solutions for Tutorial 7.

This week you will apply statistical tests to the survey data gathered in the first lecture of the course, looking for possible connections between sleep, exercise, and choice of operating system. This uses techniques to be presented in this afternoon’s lecture and, awkwardly, next Tuesday’s. To support this, I’ve prepared and posted both sets of lecture slides in advance.

Thanks to everyone who submitted their coursework assignment yesterday. These are now going out to individual tutors, who will mark them and give you feedback on your work in the Week 11 tutorial.

Links: Tutorial exercises; Lecture slides

Inf1-DA 2015–2016