6.100A+B
Course Info Installing Python Style Guide
Help Queue Extra Coding Practice Programming Resources General MIT Help Piazza 6.100B MITx 6.0002 (optional finger exercises)
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Introduction to Computational Thinking and Data Science
(Spring 2024)

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Announcements

Lecture Material

In-person Lectures
Mon and Wed at 3 pm – 4:30 pm in 26-100
(No lecture recordings will be available!) Slides and Code
in Calendar below

Office Hours

In-person in 38-370
(get a spot via the Help Queue)
No OH during lecture hours
Tue: 11 am – 9 pm
Wed: 11 am – 9 pm
Thu: 9 am – 9 pm
Fri: 9 am – 5 pm

This Week's Pset

Problem Set 3
Due: Apr 25 at 09:00PM

Recitation Schedule

In-person on Fridays (and optional)
10 am in 5-134
11 am in 5-134
1 pm in 5-134
2 pm in 5-134
Recitation Feedback Form

Calendar and Materials 6.100B - Spring 2024

View 6.100A Calendar
Monday
Tuesday
Wednesday
Thursday
Friday
4/1: Lecture 1 zip
Admin and overview, Optimization, Knapsack problems
Readings: Ch 14.1
Lec1 Finger Ex. out PS 0 out PS 1 out
4/2
4/3: Lecture 2 zip
Complementary knapsack, Dynamic programming, Memo vs tabular method, Pseudo-polynomial complexity
Readings: Ch 15
No L2 Finger Ex.
4/4
Microquiz 0 (testing microquiz mechanics, not for points, take it on your own between 4:30pm and 9:30pm)
4/5: Recitation 1 notes PS 0 due at 9PM (No checkoff for PS 0)
4/8: Lecture 3 zip
Graphs, Shortest-path problems, DFS and BFS
Readings: Ch 14.2
Lec3 Finger Ex. out Lec1 Finger Ex. due PS 2 out
4/9 Last Day We Accept Adds
4/10: Lecture 4 zip
More graphs: Weighted shortest-path using Dijkstra's
Readings: None
Microquiz 1 (25 minutes at the end of class)
No L4 Finger Ex.
4/11 PS 1 due at 9PM
4/12: Recitation 2 notes PS 1 Checkoffs start
4/15: Holiday No Class or OH
4/16
4/17: Lecture 5 zip
Stochastic thinking, Probability, Simulation, Intro to Monte Carlo and Random walks
Readings: Ch 17.1-17.2, 18.1-18.3
Lec5 Finger Ex. out Lec3 Finger Ex. due PS 3 out
4/18 PS 2 due at 9PM
4/19: Recitation 3 notes PS 2 Checkoffs start PS 1 Checkoff due at 4PM
4/22: Lecture 6 zip
Implementing random walks, Ideal gas law
Readings: Ch 16
No L6 Finger Ex.
4/23
4/24: Lecture 7 zip
Variance, Confidence intervals, Roulette
Readings: Ch 17.3, 17.4.2, 19.1
Microquiz 2 (25 minutes at the end of class)
Lec7 Finger Ex. out Lec5 Finger Ex. due PS 4 out
4/25 PS 3 due at 9PM
4/26: Recitation 4 notes PS 3 Checkoffs start PS 2 Checkoff due at 4PM
4/29: Lecture 8 zip
Estimating pi, Integration, Distributions, CLT, Sampling, Standard error
Readings: Ch 18.4, 17.4, 19.2-19.3
Lec8 Finger Ex. out
4/30 Drop Deadline
5/1: Lecture 9 zip
Curve-fitting, Linear regression, R^2, Overfitting, Choosing a degree
Readings: Ch 20
Microquiz 3 (25 minutes at the end of class)
Lec7 Finger Ex. due PS 5 out No L9 Finger Ex.
5/2 PS 4 due at 9PM
5/3: Recitation 5 notes PS 4 Checkoffs start PS 3 Checkoff due at 4PM
5/6: Lecture 10 zip
Intro to machine learning, Training and test sets, Distance metrics, Scaling, Classification, K-nearest neighbors
Readings: Ch 24, 26
Lec10 Finger Ex. out Lec8 Finger Ex. due
5/7
5/8: Lecture 11 zip
Technical risks of machine learning models
Readings: None
Microquiz 4 (45 minutes at the end of class)
No L11 Finger Ex.
5/9
5/10 PS 4 Checkoff due at 4PM
5/13: Lecture 12 zip
Statistical fallacies, Wrap-up
Readings: Ch 22
Lec10 Finger Ex. due PS 5 due at 9PM (No checkoff for PS 5) No L12 Finger Ex.
5/14
5/15
5/16
5/17
5/20
5/21
5/22
5/23
5/24