*** You should ask your supervisor for guidance as to which course(s) will be most appropriate for you ***

Statistics courses

There are several statistics courses provided which will be of use to postgraduates.

Programming Courses

MATLAB (Dr Dénes Szűcs)

Dr Dénes Szűcs runs an 8-hour intensive course entitled ‘Practical introduction to MATLAB Programming’. The course focuses on practical hands-on variable handling and programming implementation rather than on theory. This course is intended for those who have never programmed before including those who only call/run Matlab scripts but are not familiar with how code works and how matrices are handled in Matlab. (Note that calling a couple of scripts is not ‘real’ programming.)

All sessions will take place online. Lecture slides about language fundamentals will be uploaded to Moodle before the sessions for study before sessions. During the live sessions we will reinforce and extend the material in the lecture slides and resolve questions.

It is essential that you download and install the latest version of Matlab on your own laptop before the sessions (see www.mathworks.com). Cambridge students can download and install Matlab from mathworks.com for free with their CRSid. Select and install all packages available to you. If you have pre-installed Matlab you can immediately try to write ‘live’ programme code. The best way to learn Matlab is to write and run code.

It is advisable that you skim through the excellent free resource Getting Started and Language Fundamentals

Monday 12 October 2020 – 10.00-12.00 and 14:00-16:00

Tuesday 13 October 2020 – 10.00-12.00 and 14:00-16:00

For more information visit Dénes Szűcs page at the Centre for Neuroscience in Education.

Introduction to Scientific Computing and Matlab

The CBU will be running a weekly Matlab course which will be extremely helpful to anyone planning on programming their experiments and analysing data in Matlab.

These sessions will combine theory, demos and hands-on practice, aimed at researchers with no or little prior experience in scientific computing and programming.

Workshops will take place in the WWSR on Wednesday at 14:30 for approximately 1.5 hours. Attendance does not require registration, everyone is welcome.

Introduction to Scientific Computing and MatLab course details.

Statistical Methods for Cognitive Psychologists (Michaelmas 2020) 

Level: This is a course planned with the needs in mind of a graduate student starting as a PhD student at the MRC Cognition and Brain Sciences.

Style: The presentation will be as fairly formal lectures, each aiming

  • to outline a particular class of methods,
  • to give examples of it being applied to realistic situations,
  • to indicate how to implement it using software available at CBU.

Lectures will be given by Peter Watson and take place on Thursdays from 11:00-12:00 via zoom. Link to be sent nearer the time of each talk.

Date Topic
08-Oct-20 Exploratory Data Analysis
15-Oct-20 Simple and multiple linear regression
22-Oct-20 The General Linear Model and complex designs including Analysis of Covariance
29-Oct-20 Categorical Data Analysis
05-Nov-20 ANOVA of balanced multi-factorial designs: between subject designs, and single subject studies
12-Nov-20 Repeated Measures and Mixed Model ANOVA
19-Nov-20 Post-hoc tests, multiple comparisons, contrasts and handling interactions
26-Nov-20 Power analysis
03-Dec-20 Latent variable models: factor analysis and all that

University Programming Courses

Programming courses are also offered by the University Computing Service.  See http://www.cam.ac.uk/cs/courses.

Bioinformatics Training Courses

For the more advanced (and in-depth), the Mathematics Department run a full masters programme in statistics.

The Social Sciences Research Methods Centre (SSRMC) offers postgraduate students with training in a broad range of quantitative and qualitative research methods.

Students should also check http://talks.cam.ac.uk/ for other seminar series that may be of interest to them, any departmental seminars and we strongly recommend that you explore the opportunities offered by the University’s Personal and Professional Development Centre.