11:07duration 11 minutes 7 seconds
3A03 - Tutorials - Practice #10, Problem 13
If you have any questions or suggestions…
23:32duration 23 minutes 32 seconds
007 Random Variable
05:20duration 5 minutes 20 seconds
M and M Model (Part 1)
05:54duration 5 minutes 54 seconds
M and M Model (Part 4)
03:39duration 3 minutes 39 seconds
M and M Model (Part 5)
05:53duration 5 minutes 53 seconds
Break-even EBIT (Part 1)
06:01duration 6 minutes 1 second
Video - E13-15
45:31duration 45 minutes 31 seconds
Week 2. Lecture 3. Frameworks, Foundations, and…
Week 2. Lecture 3. Frameworks, Foundations, and Misnomers
26:12duration 26 minutes 12 seconds
Week 1. Lecture 2. History of CD
42:03duration 42 minutes 3 seconds
Week 5. Guest Lecture: Dr. Paul Gully
36:51duration 36 minutes 51 seconds
Week 1. Lecture 1. Intro Lecture
53:24duration 53 minutes 24 seconds
Truth and Consequences: How Scientists think…
Truth and Consequences: How Scientists think about Error and Fraud in Research with Dr. Justin Esarey
To err is human, but to issue a meaningful…
29:15duration 29 minutes 15 seconds
Week 9. Guest Lecture: Dr. Dennis Falzon
39:49duration 39 minutes 49 seconds
Week 7. Lecture 8. Analytical Epidemiology
32:44duration 32 minutes 44 seconds
Week 3. Guest Lecture. Dr Jessica Hopkins.mp4
37:44duration 37 minutes 44 seconds
Week 4. Lecture 5. Case & Contact…
Week 4. Lecture 5. Case & Contact Investigation.
35:53duration 35 minutes 53 seconds
Week 1. Drop-in
31:49duration 31 minutes 49 seconds
PHYS2G03_Project1
project slide set 1 -- raw ppt video
29:27duration 29 minutes 27 seconds
Week 5. Lecture 6. Case definitions and data…
Week 5. Lecture 6. Case definitions and data gathering
20:32duration 20 minutes 32 seconds
Week 6. Lecture 7 pt I. Descriptive epidemiology
28:41duration 28 minutes 41 seconds
Week 6. Lecture 7 pt II. Hypothesis generation
32:21duration 32 minutes 21 seconds
PHYS2G03_Project2
2G03 Project 2 raw ppt video
38:41duration 38 minutes 41 seconds
Week 10. Lecture 11. Outbreak Communication
31:35duration 31 minutes 35 seconds
Week 9. Lecture 10. Control Measures