Essential Programming Courses for You at MIT OpenCourseWare

Posted by: Mr. Issac Konopelski DDS at 24/10/2021 1,895 views

These guides introduce standards of pc technology and start to increase programming talents, especially inside the Python language.

Computer Science and Python Programming Course Features:

  • Video lectures

  • Captions

  • Transcript Interactive

  • Tests Lecture

  • Notes Assignments

  • Trouble units (no solutions)Assignments

  • Programming with examples

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Course Description:

It goals to offer college students knowledge of the position computation can play in fixing troubles and to assist college students, no matter their major, sense justifiably assured in their cap potential to put in writing small applications that permit them to perform beneficial goals.  The magnificence makes use of the Python 3,5 programming language.

Computer Programming:

OCW Scholar guides are designed especially for OCW's unmarried biggest audience: impartial learners. These guides are appreciably greater whole than usual OCW guides and consist of new custom-created content material in addition to substances repurposed from formerly posted guides.  

Course Description:

This concern is aimed toward college students with very little programming experience. It goals to offer college students knowledge of the position computation can play in fixing troubles. It also goals to assist college students, no matter their major, to sense justifiably assured in their cap potential to write small applications that permit them to perform beneficial goals.

Course Format:

This direction has been designed for impartial study. It gives the entirety you may want to recognize the ideas blanketed with inside the direction. The substances consist of:

  • A whole set of Lecture Videos through Prof. Guttag.

  • Resources for every lecture video, which include Handouts, Slides, and Code Files.

  • Recitation Videos through direction TA's to check content material and trouble fixing strategies.

  • Homework troubles with pattern pupil solutions.

  • Further Study collections of hyperlinks to supplemental online content material.

  • Self-Assessment tools, consisting of Lectures.

Data Science:

It continues 6.0001 Introduction to Computer Science and Programming in Python and is meant for college students with very little programming experience. The magnificence makes use of the Python 3 five programming language.

Basic Programming: 

This semester-lengthy direction shaped the idea for the 6.0001 + 6.0002 sequence and maintained to gain knowledge at MIT. It goals to offer college students knowledge, no matter their major, to sense justifiably assured in their cap potential to put in writing small applications that permit them to perform beneficial goals. 

Prerequisites: This direction is aimed toward college students with very little earlier programming experience. However, a preference is to recognize computational methods to fix the trouble.  Since pc programming entails computational modes of thinking, it'll assist in having a few mathematical and logical aptitudes. You have to be assured together, along with your math talents, as much as pre-calculus.

Puzzled Programming:  

This magnificence builds a bridge between the leisure international of algorithmic puzzles (puzzles that may be solved through algorithms) and the pragmatic international of pc programming, coaching college students to software at the same time as fixing puzzles.  

Python syntax and semantics required to recognize the code are defined as wanted for every puzzle. Prerequisites: There aren't any formal prerequisites. Students want best the rudimentary hold close of programming ideas received from introductory or Advanced Placement pc technology instructions in excessive school. 

Language-Specific Courses:

Beyond the introductions above, which use Python, right here are numerous introductions to different programming languages. Many are taught through MIT's four-week Independent Activities Period (IAP) among the autumn and spring semesters.

6.092 Programming in Java:

This direction is an advent to software program engineering, the usage of the Java programming language. It covers ideas beneficial to 6Students will study the basics of Java. The consciousness is on growing excessive-quality, operating software program that solves actual troubles. Prerequisites: Designed for college students with little programming experience.

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MATLAB Programming Course Features:

  • Video lectures

  • Captions/transcript

  • Online textbooks

  • Assignments: trouble units (no solutions)Assignments

  • programming with examples

  • 6. Software Construction half Elements of

  • This direction introduces essential standards and strategies of software program development. Students discover ways to write software programs secure from bugs, clean to recognize and prepare for change.

Course Description:

The 6.5 Software Construction introduces essential standards and strategies of software program development, i.e., the way to write a software program this is secure from bugs, clean to recognize, and prepared for change. 

The direction consists of trouble units and a very last project. Important subjects include specs and invariants; testing; summary information types; layout styles for object-orientated programming; concurrent programming and concurrency; and useful programming. The 6.5 internet site homepage from spring 2016, together with all direction substances, is to be had to OpenCourseWare users.

Prerequisites: 

A corporation that holds close to Python and a strong historical past in discrete arithmetic are essential stipulations to this path. You are anticipated to have mastered the cloth provided in 6.01.

This direction is meant to help undergraduates gain knowledge of the fundamentals of programming in widespread and programming MATLAB® in particular. This path presents a creation to mathematical modeling of computational problems. It covers the not unusual place algorithms, algorithmic paradigms, and records systems used to remedy those problems. The path emphasizes the connection among algorithms and programming and introduces simple overall performance measures and evaluation strategies for those problems.

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