playlistduration

Stanford CS109 Introduction to Probability for Computer Scientists I 2022 I Chris Piech

by Stanford Online · 29 videos

Total watch time

1d 11h 25m

at 1× speed · exactly 1 day, 11 hours, 25 minutes, 21 seconds at 1×

1×1d 11h 25m 21s
1.25×1d 4h 20m 17s
1.5×23h 36m 54s
1.75×20h 14m 29s
2×17h 42m 41s
Average video1h 13m 17s
Longest1h 21m 29s
Shortest49m 26s
Compare Open on YouTube JSON

Plan to finish

About 36 days at an hour a day

Pick a daily pace and the days you'll watch. Ticked videos are skipped.

Days

At one hour a day, every day, this playlist takes about 36 days. Turn on JavaScript to plan around your week.

Videos (29)

1d 11h 25m in total · tick what you've watched

Tick videos you've watched — progress is saved in this browser.

Videos to
Watched
1 Stanford CS109 Probability for Computer Scientists I Counting I 2022 I Lecture 1 1:14:11 2023-10-09
2 Stanford CS109 Probability for Computer Scientists I Combinatorics I 2022 I Lecture 2 1:08:55 2023-10-09
3 Stanford CS109 Probability for Computer Scientists I What is Probability? I 2022 I Lecture 3 1:14:45 2023-10-09
4 Stanford CS109 I Conditional Probability and Bayes I 2022 I Lecture 4 1:14:37 2023-10-09
5 Stanford CS109 Probability for Computer Scientists I Independence I 2022 I Lecture 5 1:17:40 2023-10-09
6 Stanford CS109 I Random Variables and Expectation I 2022 I Lecture 6 1:08:27 2023-10-09
7 Stanford CS109 Probability for Computer Scientists I Variance Bernoulli Binomial I 2022 I Lecture 7 1:13:59 2023-10-09
8 Stanford CS109 Probability for Computer Scientists I Poisson I 2022 I Lecture 8 1:12:59 2023-10-09
9 Stanford CS109 Probability for Computer Scientists I Continuous Random Variables I 2022 I Lecture 9 1:15:57 2023-10-09
10 Stanford CS109 Probability for Computer Scientists I Normal Distribution I 2022 I Lecture 10 1:14:32 2023-10-09
11 Stanford CS109 Probability for Computer Scientists I Joint Distributions I 2022 I Lecture 11 1:12:04 2023-10-09
12 Stanford CS109 Probability for Computer Scientists I Inference I 2022 I Lecture 12 1:20:33 2023-10-09
13 Stanford CS109 Probability for Computer Scientists I Inference II I 2022 I Lecture 13 1:11:08 2023-10-09
14 Stanford CS109 Probability for Computer Scientists I Modelling I 2022 I Lecture 14 1:16:42 2023-10-09
15 Stanford CS109 Probability for Computer Scientists I General Inference I 2022 I Lecture 15 1:16:09 2023-10-09
16 Stanford CS109 Probability for Computer Scientists I Beta I 2022 I Lecture 16 1:08:19 2023-10-09
17 Stanford CS109 Probability for Computer Scientists I Adding Random Variables I 2022 I Lecture 17 1:16:51 2023-10-09
18 Stanford CS109 I Central Limit Theorem I 2022 I Lecture 18 49:26 2023-10-17
19 Stanford CS109 Probability for Computer Scientists I Bootstraping and P-Values I 2022 I Lecture 19 1:17:33 2023-10-09
20 Stanford CS109 I Algorithmic Analysis I 2022 I Lecture 20 1:17:42 2023-10-17
21 Stanford CS109 Probability for Computer Scientists I M.L.E. I 2022 I Lecture 21 1:17:49 2023-10-09
22 Stanford CS109 Probability for Computer Scientists I M.A.P. I 2022 I Lecture 22 1:18:07 2023-10-09
23 Stanford CS109 Probability for Computer Scientists I Naive Bayes I 2022 I Lecture 23 1:17:59 2023-10-09
24 Stanford CS109 Probability for Computer Scientists I Logistic Regression I 2022 I Lecture 24 1:19:17 2023-10-09
25 Stanford CS109 I Deep Learning I 2022 I Lecture 25 1:21:29 2023-10-17
26 Stanford CS109 I Fairness I 2022 I Lecture 26 1:09:58 2023-10-17
27 Stanford CS109 I Advanced Probability I 2022 I Lecture 27 1:20:31 2023-10-17
28 Stanford CS109 I Future of Probability I 2022 I Lecture 28 1:06:59 2023-10-17
29 Stanford CS109 Probability for Computer Scientists I Counting I 2022 I Lecture 29 50:43 2023-10-26

Embed a badge

Show the watch time in a README or course description — it links back here and updates itself

Watch time: 1d 11h 25m · 29 videos

Markdown
[![Watch time: 1d 11h 25m · 29 videos](https://playlistduration.com/badge/playlist/PLoROMvodv4rOpr_A7B9SriE_iZmkanvUg.svg)](https://playlistduration.com/playlist/PLoROMvodv4rOpr_A7B9SriE_iZmkanvUg)
HTML
<a href="https://playlistduration.com/playlist/PLoROMvodv4rOpr_A7B9SriE_iZmkanvUg"><img src="https://playlistduration.com/badge/playlist/PLoROMvodv4rOpr_A7B9SriE_iZmkanvUg.svg" alt="Watch time: 1d 11h 25m · 29 videos" width="228" height="20"></a>

Add ?speed=1.5 to the image URL for the time at that speed, ?label=Course to change the left text, or ?style=flat-square for square corners.

Want the numbers themselves? GET https://playlistduration.com/api/v1/playlist/PLoROMvodv4rOpr_A7B9SriE_iZmkanvUg returns them as JSON — free, no key. API docs →

Data from the YouTube Data API as of 2026-09-22 (cached). Private or deleted videos are excluded from totals.