UeduGPTs

--

Jupyters

8

Local AI

--

CISOSE26 本地 AI UG26

AI Reply Desktop Notifications

Show a desktop notification when the AI TA finishes replying

Chat Message Notifications

Notify me when classmates post messages in the forum

Sound notification

Play an alert sound whenever there is a new notification

More settings

Account settings Data privacy settings Research Informed Consent Form

6.100L

Introduction to CS and Programming using Python

Dr. Ana Bell | Fall 2022

Data Science, Analytics & Computer Technology Programming & Coding Computer Science Engineering Programming Languages

前往原始課程

CC BY-NC-SA 4.0

課程簡介

This subject is aimed at students with little to no programming experience. It aims to provide students with an understanding of the role computation can play in solving problems. It also aims to help students, regardless of their major, feel justifiably confident in their ability to write simple programs that allow them to accomplish useful goals. The class will use the Python 3 programming language.

Course Information

Source	MIT 開放式課程
科系	Electrical Engineering and Computer Science
Language	English
影片數	26

課程影片 (26)

Lecture 1: Introduction to CS and Programming Using Python

Lecture 1: Introduction to CS and Programming Using Python

Lecture 2: Strings, Input/Output, and Branching

Lecture 2: Strings, Input/Output, and Branching

Lecture 3: Iteration

Lecture 3: Iteration

Lecture 4: Loops over Strings, Guess-and-Check, and Binary

Lecture 4: Loops over Strings, Guess-and-Check, and Binary

Lecture 5: Floats and Approximation Methods

Lecture 5: Floats and Approximation Methods

Lecture 6: Bisection Search

Lecture 6: Bisection Search

Lecture 7: Decomposition, Abstraction, and Functions

Lecture 7: Decomposition, Abstraction, and Functions

Lecture 8: Functions as Objects

Lecture 8: Functions as Objects

Lecture 9: Lambda Functions, Tuples, and Lists

Lecture 9: Lambda Functions, Tuples, and Lists

Lecture 10: Lists and Mutability

Lecture 10: Lists and Mutability

Lecture 11: Aliasing and Cloning

Lecture 11: Aliasing and Cloning

Lecture 12: List Comprehension, Functions as Objects, Testing, and Debugging

Lecture 12: List Comprehension, Functions as Objects, Testing, and Debugging

Lecture 13: Exceptions and Assertions

Lecture 13: Exceptions and Assertions

Lecture 14: Dictionaries

Lecture 14: Dictionaries

Lecture 15: Recursion

Lecture 15: Recursion

Lecture 16: Recursion on Non-numerics

Lecture 16: Recursion on Non-numerics

Lecture 17: Python Classes

Lecture 17: Python Classes

Lecture 18: More Python Class Methods

Lecture 18: More Python Class Methods

Lecture 19: Inheritance

Lecture 19: Inheritance

Lecture 20: Fitness Tracker Object-Oriented Programming Example

Lecture 20: Fitness Tracker Object-Oriented Programming Example

Lecture 21: Timing Programs and Counting Operations

Lecture 21: Timing Programs and Counting Operations

Lecture 22: Big Oh and Theta

Lecture 22: Big Oh and Theta

Lecture 23: Complexity Classes Examples

Lecture 23: Complexity Classes Examples

Lecture 24: Sorting Algorithms

Lecture 24: Sorting Algorithms

Lecture 25: Plotting

Lecture 25: Plotting

Lecture 26: List Access, Hashing, Simulations, and Wrap-Up

Lecture 26: List Access, Hashing, Simulations, and Wrap-Up