Introduction to Computational Thinking and Data Science
(Spring 2025)

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Announcements

Lectures

Mon and Wed
3-4:30pm in 26-100
(No recordings available)
Slides and Code
In calendar below

Recitations

Fridays (and optional)
10 am in 5-134
11 am in 5-134
1 pm in 5-134
Recitation feedback form

This Week's Pset

Problem Set 0
Due: Apr 04, 2025 at 10:00PM

Office Hours

In 38-370
Start Feb 6
Mon–Thu: 11am - 9pm
(Closed during MW 3-5pm)
Fri: 11am - 5pm
AI Tutor for independent learning

Calendar and Materials 6.100B – Spring 2025

View 6.100A Calendar

Monday
Tuesday
Wednesday
Thursday
Friday
3/31: Lecture 1
Admin and overview, optimization, knapsack problems
Readings: Ch 14.1
Lec 1 Finger Ex. out Pset 0 out Pset 1 out
4/1
4/2: Lecture 2
Complementary knapsack, dynamic programming, memo vs tabular method, pseudo-polynomial complexity
Readings: Ch 15
No Lec 2 Finger Ex.
4/3
Microquiz 0 not graded, demonstrates microquiz mechanics, available during 4:30-9:30PM
4/4: Recitation 1 Pset 2 out Pset 0 due at 10PM No checkoff for Pset 0 Add deadline
4/7: Lecture 3
Graphs, shortest-path problems, depth-first and breadth-first search
Readings: Ch 14.2
Microquiz 1 25 minutes at the end of class
Lec 1 Finger Ex. due at 3PM Lec 3 Finger Ex. out Pset 1 due at 10PM
4/8 Pset 1 Checkoffs start
4/9: Lecture 4
Weighted shortest-path using Dijkstra's, other graph problems
Readings: None
No Lec 4 Finger Ex.
4/10
4/11: Recitation 2 Pset 3 out
4/14: Lecture 5
Stochastic thinking, simulation, random walks
Readings: Ch 16, 17.1
Lec 3 Finger Ex. due at 3PM Lec 5 Finger Ex. out Pset 2 due at 10PM
4/15
4/16: Lecture 6
Simulating the ideal gas law, probability
Readings: Ch 17.2
Microquiz 2 25 minutes at the end of class
No Lec 6 Finger Ex.
4/17
4/18: Recitation 3 Pset 4 out Pset 2 Checkoffs start Pset 1 Checkoff due at 8PM
4/21: Holiday No Class or OH
4/22
4/23: Lecture 7
Monte Carlo simulation, roulette, estimating pi, integration, distributions, variance, empirical rule, confidence intervals
Readings: Ch 18, 17.3-17.4
Lec 5 Finger Ex. due at 3PM Lec 7 Finger Ex. out Pset 3 due at 10PM
4/24: Recitation 4 Pset 5 out Pset 3 Checkoffs start Pset 2 Checkoff due at 8PM
4/25
4/28: Lecture 8
Curve-fitting, linear regression, R^2, overfitting, choosing a degree
Readings: Ch 20
No Lec 8 Finger Ex. Pset 4 due at 10PM
4/29 Pset 4 Checkoffs start Pset 3 Checkoff due at 8PM Drop deadline
4/30: Lecture 9
Sampling, standard error, Central Limit Theorem
Readings: Ch 19
Microquiz 3 25 minutes at the end of class
No Lec 9 Finger Ex.
5/1
5/2: Recitation 5 Pset 5 due at 10PM
5/5: Lecture 10
Intro to machine learning
Readings: None
Lec 7 Finger Ex. due at 3PM No Lec 10 Finger Ex.
5/6 Pset 5 Checkoffs start Pset 4 Checkoff due at 8PM
5/7: Lecture 11
Quiz
Readings: Ch 22
Microquiz 4 45 minutes at the end of class
No Lec 11 Finger Ex. Pset 5 Checkoff due at 8PM
5/8
5/9
5/12: Lecture 12
Statistical fallacies
Readings: None
No Lec 12 Finger Ex.
5/13
5/14
5/15
5/16