I'm back from Kauai, well rested and itching for some mental stimulation.
A few things:
(via Boing Boing)
For what it is worth, I am twittering.
First Half of February
January
December
November
October
A plug for the worthy-- Warren Ellis is just about to release FreakAngels, a free webcomic saga told in 5-page weekly installments.
Please comment if (and this is a big if) you find any of these admittedly fragmentary ideas/questions intelligible.
Thanks in part to the encouragement of a friend's father, I have submitted my curriculum vitae to the Dean of Arts and Sciences at the local junior college in the hope of doing some adjunct teaching in addition to my current job. Though the wages are ridiculously low once you factor in prep time and grading, I look forward to the possibility of sharing my enthusiasm for learning and reengaging in academic life.
In particular, I am would enjoy teaching two courses that appear in the college catalog, but have (to my knowledge) never been offered:
CMPSC 54 Data Mining
This course is designed to familiarize individuals with current and emerging data mining technologies using the Internet, database software, and other application software packages as needed for project completion. Data mining knowledge topics will include the process of model building. Students will create a representative model based on an existing dataset to help understand trends, patterns, and correlations, as well as forming predictions based on historical outcomes. Students will be introduced to the tools and technologies needed to research and analyze data, resulting in a strategic decision making, marketing plan development, goal setting and identifying business opportunities. (CSU)PHILO 5 Introduction to the History and Philosophy of Science
An introduction to the ideas, processes and consequences of science through history. The historical development of philosophies of science will be central throughout. Critical reasoning and extensive writing will be required. Contextual cultural analysis is expected. Credit may be earned for only one of the following: HIST 5 or PHILO 5. (UC/CSU).
Just thinking about teaching these has me roughing-out syllabi , setting-up moodle on my site and rummaging through my books to review relevant works.
Any profs out there with some interviewing and teaching advice?
Ah, I have been tagged by Robin.
The rules:
Pick up the nearest book of 123 pages or more. (No cheating!)
Find Page 123.
Find the first 5 sentences.
Post the next 3 sentences.
Tag 5 people.
Now let us substitute my error statistical construal of probable success (for some specified measure of "successful outcome"). Evaluating H's probable success (or H's reliability) means evaluating the relative frequency with which applications of H would yield results in accordance with(i.e., specifiably close to) what H asserts. As complex as this task sounds, it is just the kind of information afforded by experimental knowledge of H.
This passage comes in the near conclusion of Mayo's criticism of the Bayesian approach to scientific inference (a la Howson & Urbach), and right before her presentation of her error statistical rehabilitation of Neyman-Perason statistics. I would be remiss to mention Mayo without pointing-out Cosma's excellent review of EatGoEK .
As for the five people, I tag Dani, Otis, Josh, Richard, and Michelle.
