PMATH 380AIntroduction to Information Theory
- Faculty
- Mathematics
- Offered
- Fall, Spring
- Credit
- 0.5
- Last listed
- 1994–95
No longer offered. It’s in Waterloo’s scanned calendars from 1976–77 to 1994–95; the 1995–96 to 2023–24 calendars are on ucalendar.
Variable length coding. The Shannon entropy as a measure of uncertainty and expected information. Minimal average length coding; the Shannon entropy as lower bound. Source entropy. Channels. Transinformation. Capacity. Applications to problem solving, Information transmission, logics, science, linguistics and communications (TV, music, etc.). Determination of practical measures of information.
As printed in the 1984–85 to 1994–95 calendars, read by OCR; the scanned page is the original. Later calendars (1995–96 on) aren’t on uwloo.
Requirements, as last listed
Prereq: Consent of instructor
Cross-listed as AM 381C
Check it elsewhere
- Undergraduate Calendar, 1995–96If it ran past 1994–95, on ucalendar
- Course outlinesSyllabi from past terms (UW login)
- UW FlowStudent ratings and reviews
- WClassesPast sections back to 2004, and who taught them
In the scanned calendars
How it read in each calendar from 1976–77 to 1994–95, newest first. The text is OCR of the scanned pages; years whose wording matches are shown once, from the clearest scan. Each year links to its page on uwloo and to that page of the scanned PDF.
1984–85 to 1994–95 10 calendars
Variable length coding. The Shannon entropy as a measure of uncertainty and expected information. Minimal average length coding; the Shannon entropy as lower bound. Source entropy. Channels. Transinformation. Capacity. Applications to problem solving, Information transmission, logics, science, linguistics and communications (TV, music, etc.). Determination of practical measures of information.
Prereq: Consent of instructor
Cross-listed as AM 381C
Offered Fall, Spring · 3 class hours a week · 0.5 credit
- 1984–85 PDF p. 376
- 1986–87 PDF p. 390
- 1987–88 PDF p. 404
- 1988–89 PDF p. 402
- 1989–90 PDF p. 424
- 1990–91 PDF p. 440
- 1991–92 PDF p. 449
- 1992–93 PDF p. 440
- 1993–94* PDF p. 443
- 1994–95 PDF p. 446
* Listed that year without a description, or as not offered.
Not in the 1977–78 to 1983–84 calendars.
1976–77 1 calendar
Titled Introduction to Information Theory with Applications.
Finite probabilistic schemes. Measures of uncertainty. Shannon's Entropy as a measure of uncertainty and expected information. Maximizing expected information. Applications to problem solving in coding, logics and linguistics.
2 hours lectures, | hour tutorial. One term