This website is for an old version of the course. Informatics 1: Data & Analysis has moved on to another year, and new students. Please follow the link below to see the current course.
Students who did not pass Inf1-DA at the main examination in May have another opportunity at a resit examination in August. This exam follows exactly the same format as the main paper.
Continue reading Resit Examination: New Venue; Revision Tutorial
The Inf1-DA end-of-year examination had 263 students participating, with a very high proportion passing and a substantial number achieving Grade A. I have written a detailed report that includes the complete exam text together with notes on solutions and comments on the answers submitted by all of you who took the exam.
If you want to look at your own exam scripts, then please contact the ITO. You’ll need to say which exams you want to see, and arrange a date to view them there. You won’t be able to take these away, so remember to take a pen and paper for notes. (Or a pencil, tablet, laptop, etc.)
Individual scripts don’t have much detailed feedback on them, but you will be able to see your mark on each question which can help in working out which areas of the course you might wish to review.
Notes and solutions are now up for Tutorial 8: Statistical Analysis.
I have also written a Feedback Report on the written assignment, which contains a detailed guide to solutions and also some comments on the range of student answers. Please attend your listed tutorial session this week, and your course tutor will return your work to you individually.
Tutorial 8: Statistical Analysis
Notes and Solutions
Solutions and Feedback
This final lecture of the course covered arrangements for the exam, advice on revision and preparation, as well as a summary of the course topics. Following neck-and-neck voting by students on the subject poll, I gave a specific review of material XML and Xpath and went through Question 2 from last year’s exam paper. Continue reading Lecture 20: Course Review
Three separate requests for your comment and contribution, all looking for as many responses as possible.
Inf1-DA final lecture — which topics to review? Poll closes 5pm Thursday.
Informatics course surveys. A single page form, confidential anonymous feedback directly to the lecturer. Fill out one for each course you have done this semester.
Results of “What would you say to students considering this course?” are posted online for next year’s students.
Oh, and Maths are currently winning on “most nominations per student”. Just saying.
This lecture covered more on hypothesis testing, presenting the χ2 test and working through three examples: student Inf1-DA exam results in 2011, bigram frequency in the British National Corpus, and possible gender bias in student admissions to Berkeley in 1973.
Continue reading Lecture 19: chi² Testing on Categorical Data
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 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
I have now posted a set of notes and solutions to this week’s tutorial exercises, on Information Retrieval.
The Inf1-DA assignment is due for submission on Thursday. Please remember to write on the front your name, matriculation number, course tutor name, group number, and the course code INF1-DA. Hand in your work by 4pm Thursday to the box outside the ITO.
Some answers to questions students have asked about writing up the assignment.
- Handwritten and typed submissions are both fine. In the exam you will have to write answers by hand. If this will cause you particular difficulty, please get in touch (and also see this web page for things we can do to help).
- You can use pen or pencil as you wish. I recommend pen for text, and pencil for diagrams. If you use pencil for everything there is a small risk that your work may become partially erased and illegible.
- There is no alternative of electronic submission for this coursework.
- You can submit as early as you like. ITO staff check the box regularly, and stamp all work when it arrives.
The next set of exercises are up on the tutorial web page. These require you to carry out some statistical analysis of survey data about last year’s Inf1-DA students. Some of this statistics was covered in today’s lecture slides; the rest is in the slides for Friday and Tuesday. I’ve put these slides up in advance on the lecture web page so that you can look ahead. In addition, the Examples and Solutions sections of the tutorial exercises contain complete worked examples of all the necessary statistical tests.
The Inf1-DA assignment continues to run this week. Please remember to write on the front your name, matriculation number, course tutor name, group number, and the course code INF1-DA. Hand in your work by 4pm Thursday to the box outside the ITO.