24 episodi

This subject is aimed at students with little or 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, to feel justifiably confident of their ability to write small programs that allow them to accomplish useful goals. The class will use the Python™ programming language.

Introduction to Computer Science and Programming MIT

    • Tecnologia
    • 4.4 • 13 valutazioni

This subject is aimed at students with little or 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, to feel justifiably confident of their ability to write small programs that allow them to accomplish useful goals. The class will use the Python™ programming language.

    • video
    Lecture 01: Goals of the course; what is computation; introduction to data types, operators, and variables

    Lecture 01: Goals of the course; what is computation; introduction to data types, operators, and variables

    • 53 min
    • video
    Lecture 02: Operators and operands; statements; branching, conditionals, and iteration

    Lecture 02: Operators and operands; statements; branching, conditionals, and iteration

    • 50 min
    • video
    Lecture 03: Common code patterns: iterative programs

    Lecture 03: Common code patterns: iterative programs

    • 50 min
    • video
    Lecture 04: Decomposition and abstraction through functions; introduction to recursion

    Lecture 04: Decomposition and abstraction through functions; introduction to recursion

    • 51 min
    • video
    Lecture 05: Floating point numbers, successive refinement, finding roots

    Lecture 05: Floating point numbers, successive refinement, finding roots

    • 44 min
    • video
    Lecture 06: Bisection methods, Newton/Raphson, introduction to lists

    Lecture 06: Bisection methods, Newton/Raphson, introduction to lists

    • 50 min
  • © http://ocw.mit.edu; Creative Commons Attribution-NonCommercial-ShareAlike 3.0; http://ocw.mit.edu/terms; Image by MIT OpenCourseWare.

Recensioni dei clienti

4.4 su 5
13 valutazioni

13 valutazioni

Top podcast nella categoria Tecnologia

Digitalia
Franco Solerio
1234 - La sicurezza informatica su Sky Tg24
Sky TG 24
Senza Un Briciolo di... TE⚡️LA
Senza Un Briciolo di Tesla
iPhoneItalia Podcast
iPhoneItalia
Casual Future
Piano P
Bitcoin Italia Podcast
Bitcoin Italia Podcast

Gli ascoltatori si sono iscritti anche a

Introduction to Computer Science and Programming in Python
Ana Bell, Eric Grimson
OCW Scholar: Introduction to Computer Science and Programming
Prof. John Guttag
Computer Systems Security
Nickolai Zeldovich, James Mickens
Introduction to Algorithms (2011)
Erik Demaine, Srini Devadas
Circuits and Electronics
Instructor: Prof. Anant Agarwal
Artificial Intelligence
Patrick Winston, Mark Seifter

Altri contenuti di MIT

Linear Algebra
Prof. Gilbert Strang
Artificial Intelligence
Patrick Winston, Mark Seifter
Introduction to Algorithms (2005)
Prof. Erik Demaine Prof. Charles Leiserson
Introduction to Psychology
Prof. Jeremy Wolfe
New Enterprises
Bill Aulet
Single Variable Calculus
Prof. David Jerison