Faran Whyde: Recent Episodes
Faran Whyde
Let's Read Meno, by Plato, a full audiobook
In Meno, a dialogue between Socrates and a visitor named Meno, the legendary philosopher Plato addresses the question "Can virtue be taught?".
This audiobook was performed based on the (public domain) translation by Benjamin Jowett.
Performed by me, Faran Whyde, 25 December 2018, as a Christmas present for my Dad.
In Euthydemus, Socrates takes on a pair of Sophists, the brothers Euthedemus and Dionysodorus, who are visting Athens. They claim to be able to both prove and disprove any statement, using their own distinctive brand of 'logic' which Socrates decides he needs to find out about.
Socrates then recounts the story to his good friend, Crito, and adds an additional comment that serves as a critique of Aristotle's golden mean.
Audio recording of Data Analysis lecture 11, on Bayes Classifiers for interpreting (image) data, and a Q+A on the image analysis and classification assignment.
Audio recording of Data Analysis (2019) lecture 3. This is on linear regression followed by design of experiments (including Simpson's paradox - descibed with slides and more detail on this youtube video: https://www.youtube.com/watch?v=DOWMLQVm4f4).
Production notes. (1) Denoising was used to decrease the projector background sound, but there's still a bit. (2) I'm happy to remove student questions if asked - in the long run I might try pausing the recording and repeating the question, but that won't work perfectly either...
Audio capture of Engineering Maths (2019) Lecture 9, on solving simulataneous nonlinear equations, e.g. f(x,y)=0 simultaneously with g(x,y)=0. Also a non-examinable segment on game theory.
Audio capture of Engineering Maths (2019) Lecture 8.
This is on optimisation with linear programming, and on methods for solving nonlinear equations of one variable, e.g. f(x)=0.
Audio capture of Engineering Maths (2019) lecture 7. Note, unfortunately that the cheap batteries I got from the department failed part way through lecture #6, so that one won't be available. I have made a mental to buy proper batteries.
This lecture is on the method of Lagrange multipliers for constrained optimisation, and the very start of the intro to linear programming. It's not a great lecture, as the traffic was bad due to ice that morning, and I had not much time to prepare.
Audio recording of Engineering maths lecture 4. (There's no recording of #3 as I was rushing back from a university meeting without my recorder.) This one is on numerical methods for simulating systems described by ordinary differential equations. Includes a predator-prey model example, and discussion of its problems - including the atto-fox problem - note one attofox is 10 to the minus 18 of a fox (not -15, as I guessed while talking).
Audio recording of Engineering Maths (2019) Lecture 2. This looks at 3-point numerical integration with Simpson's rule, and demonstrates how its accuracy improves as increasing numbers of steps are used for integration (faster improvement than with the Trapezium rule) - but the noise-tolerance of Simpson's rule may be worse, so judgement is needed for selecting a suitable numerical integration rule.
PDF notes and slides are available (for undergrads taking the course) on Moodle, and will be useful for following the audio recording. I've cut out some discussion so the recording is mainly me talking, plus a small amount of student comment.
Audio capture of Data Analysis (2019) lecture 2. This lecture introduces image data and image analysis, and asks "what is data" with a view to producing descriptive statistics upon which accurate and reliable analyses can be based.
Some course admin comments are cut out, and any student comments would have been cut out if requested.
Audio capture of Data Analysis (2019) lecture 1. This lecture is an introduction to the scientific questions we can ask and answer in order to learn from data, and an intro to the principles used - e.g. Bayesian Analysis, or Sampling Theory statistics, and an explanation as to why Bayesian Analysis is of interest in this course - for its wide applicability and its natural, logical approach to learning.
Some course admin comments are cut out, and any student comments would have been cut out if requested.
Audio recording of my Engineering Maths course, lecture 5.
Keywords: Maths, Lecture, Numerical methods, ODE,