Podcasts
Instructions
To listen to a podcast, you can opt for one of two ways of downloading:
- Automatically, using what is called "podcatcher" software. The software manages a subscription to your chosen podcasts, and periodically checks for updates.
- Directly download the mp3 file to your hard disk, manually clicking on the linked file (right-click on Windows or ctrl-click on Mac).
To use option 1, you need appropriate software. You can use, for example, iTunes, which is free for both Mac and Windows platforms. If you use iTunes, subscribe to our podcasts by clicking on the small podcast icon. This should launch iTunes automatically. If this doesn't work, manually subscribe selecting the iTunes menu item: Advanced>Subscribe to Podcast; this will open a dialog box, where you must copy-paste the URL provided below for each podcast.
After subscribing, you can listen to the podcast, which will be available in the "Podcasts" folder of iTunes, at any time. You can also download it to your portable media player, and listen to lectures on the move!
More instructions on the Apple site >>
Download iTunes free for Mac and Windows.
Tip: To see the slides associated with an enhanced podcast, on iTunes, select Edit>Show Artwork. A small image of the slide will appear on the bottom-left. Click on it to see a larger image of the slide; click on it again when the slide has changed (the big image does not synchronize with the audio; the small one does). Enhanced podcasts in m4b format are also viewable in QuickTime.
Two-lecture Introduction to Scientific Computing
Dr Lorena Barba, University of Bristol (22 and 30 May, 2006).
This is an enhanced podcast, which when viewed on iTunes will show images of the PowerPoint slides, synchronized with the audio (the file format is m4b). If you download the mp3 file instead, you will not have this feature; you can then view or download the slides in pdf format if you wish.
URL: http://www.ltss.bris.ac.uk/ole/pod/scat_2006/pod_enhanced.xml
Audio only for lecture 1 [53MB]. | |
Audio only for lecture 2 [65.5MB]. |
Slides of lecture 1 in PDF:
What is scientific computing? Verification and Validation. Overview of numerical methods. Which programming language to use?
Slides of lecture 2 in PDF:
Which programming language, revisited. Example: object 'particle' in f90 and c++. Top algorithms of the 20th century. Basics of parallel computing.