[ FreeCourseWeb ] Udemy - MATLAB - From absolute scratch to the top!

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[ FreeCourseWeb ] Udemy - MATLAB - From absolute scratch to the top! (Size: 3.4 GB)
  001 Final class.en.srt 1.1 KB
  001 Final class.mp4 8.2 MB
  001 Final project (and mini project) presentation.en.srt 4.5 KB
  001 Final project (and mini project) presentation.mp4 29.5 MB
  001 Final project presentation.en.srt 2.3 KB
  001 Final project presentation.mp4 15.4 MB
  001 Intro.en.srt 8.6 KB
  001 Intro.mp4 87.6 MB
  001 Introducing the IF statement.en.srt 4.8 KB
  001 Introducing the IF statement.mp4 27.4 MB
  001 Introducing the final project.en.srt 4.9 KB
  001 Introducing the final project.mp4 27.3 MB
  002 Basic theoretical concepts for solving system of ordinary differential equations.en.srt 9.5 KB
  002 Basic theoretical concepts for solving system of ordinary differential equations.mp4 34.5 MB
  002 Curve fitting theory.en.srt 5.7 KB
  002 Curve fitting theory.mp4 17 MB
  002 Introducing symbolic type variables.en.srt 4.5 KB
  002 Introducing symbolic type variables.mp4 33.8 MB
  002 Primality test (The IF statement within a while loop and the break command).en.srt 10.6 KB
  002 Primality test (The IF statement within a while loop and the break command).mp4 64.4 MB
  002 The programming environment.en.srt 8.5 KB
  002 The programming environment.mp4 37.8 MB
  002 The theory behind the While Loop (a comparison against the For Loop) Part I.en.srt 5.1 KB
  002 The theory behind the While Loop (a comparison against the For Loop) Part I.mp4 16.6 MB
  002 Thinking as a machine part I.en.srt 5.2 KB
  002 Thinking as a machine part I.mp4 24.6 MB
  002 What is an API and introducing the try catch statments.en.srt 9.9 KB
  002 What is an API and introducing the try catch statments.mp4 59.3 MB
  002 What to expect_.en.srt 2.1 KB
  002 What to expect_.mp4 14.9 MB
  003 Creating an account on weatherstack.en.srt 614.4 B
  003 Creating an account on weatherstack.mp4 6.7 MB
  003 Final project presentation.en.srt 4.7 KB
  003 Final project presentation.mp4 26.1 MB
  003 Loading the data.en.srt 3.8 KB
  003 Loading the data.mp4 22.1 MB
  003 The semicolon.en.srt 3 KB
  003 The semicolon.mp4 11.6 MB
  003 The theory behind the While Loop (a comparison against the For Loop) Part II.en.srt 1.8 KB
  003 The theory behind the While Loop (a comparison against the For Loop) Part II.mp4 7.6 MB
  003 Thinking as a machine part II.en.srt 4.9 KB
  003 Thinking as a machine part II.mp4 24 MB
  003 Using dsolve and subs for system of differential equations Part II.en.srt 17.3 KB
  003 Using dsolve and subs for system of differential equations Part II.mp4 160.6 MB
  003 Using dsolve to solve differential equations via symbolic variables.en.srt 17.7 KB
  003 Using dsolve to solve differential equations via symbolic variables.mp4 124.8 MB
  003 What is matlab and why is it so powerful and useful_.en.srt 5.3 KB
  003 What is matlab and why is it so powerful and useful_.mp4 50.6 MB
  004 Gauss-Jordan theoretical lecture.en.srt 9.7 KB
  004 Gauss-Jordan theoretical lecture.mp4 35.1 MB
  004 Introducing the For Loop.en.srt 7.7 KB
  004 Introducing the For Loop.mp4 39.6 MB
  004 Reviewing the API documentation.en.srt 6.4 KB
  004 Reviewing the API documentation.mp4 50.8 MB
  004 Solving differential equations via dsolve and subs.en.srt 17.7 KB
  004 Solving differential equations via dsolve and subs.mp4 124.8 MB
  004 Space separation.en.srt 1.6 KB
  004 Space separation.mp4 7.1 MB
  004 The theory behind the While Loop (a comparison against the For Loop) Part III.en.srt 2.5 KB
  004 The theory behind the While Loop (a comparison against the For Loop) Part III.mp4 8.6 MB
  004 Using ode45 for system of differential equations PART II.en.srt 10.1 KB
  004 Using ode45 for system of differential equations PART II.mp4 81.9 MB
  004 fminunc and getting the best curve fit.en.srt 7.5 KB
  004 fminunc and getting the best curve fit.mp4 57.8 MB
  005 Basic operations with matrixes.en.srt 3.4 KB
  005 Basic operations with matrixes.mp4 20.6 MB
  005 Calculating the R square for our curve fitting process.en.srt 4.1 KB
  005 Calculating the R square for our curve fitting process.mp4 32.6 MB
  005 For Loop (counting steps other than 1).en.srt 2.2 KB
  005 For Loop (counting steps other than 1).mp4 14.5 MB
  005 Making the API requests within a TRY statement.en.srt 4.2 KB
  005 Making the API requests within a TRY statement.mp4 35.4 MB
  005 Order of precedence in Matlab calculations.en.srt 3.3 KB
  005 Order of precedence in Matlab calculations.mp4 12.6 MB
  005 The Newton-Raphson numerical method.en.srt 11.7 KB
  005 The Newton-Raphson numerical method.mp4 50.3 MB
  005 Using dsolve and subs within a function.en.srt 8.6 KB
  005 Using dsolve and subs within a function.mp4 52.9 MB
  005 Writing a script to solve a series RLC circuit bot numerically and symbolically.en.srt 6.8 KB
  005 Writing a script to solve a series RLC circuit bot numerically and symbolically.mp4 68 MB
  006 Curve fitting a parabola.en.srt 8 KB
  006 Curve fitting a parabola.mp4 58.3 MB
  006 Gauss-Jordan implementation part I.en.srt 9.3 KB
  006 Gauss-Jordan implementation part I.mp4 71 MB
  006 Handles (a little parenthesis before we practice Newton-Raphson).en.srt 4.4 KB
  006 Handles (a little parenthesis before we practice Newton-Raphson).mp4 26.3 MB
  006 Introducing the Eurler's Method.en.srt 13.1 KB
  006 Introducing the Eurler's Method.mp4 47.6 MB
  006 Mini project_ Calculating the compound interest.en.srt 9.8 KB
  006 Mini project_ Calculating the compound interest.mp4 54.2 MB
  006 Parsing structure type variables.en.srt 2 KB
  006 Parsing structure type variables.mp4 16.5 MB
  006 Playing around with our script.en.srt 5.8 KB
  006 Playing around with our script.mp4 55.6 MB
  006 Scripts.en.srt 7.3 KB
  006 Scripts.mp4 32.7 MB
  007 First Euler's method application on Series RL circuit.en.srt 10 KB
  007 First Euler's method application on Series RL circuit.mp4 65.5 MB
  007 Gauss-Jordan implementation part II.en.srt 9.1 KB
  007 Gauss-Jordan implementation part II.mp4 72.3 MB
  007 Matlab is a case sensitive programming language.en.srt 1.7 KB
  007 Matlab is a case sensitive programming language.mp4 6.1 MB
  007 Newton-Raphson method (practical lecture).en.srt 12.4 KB
  007 Newton-Raphson method (practical lecture).mp4 81.1 MB
  007 The Polyfit function and the curve fitting app.en.srt 6.2 KB
  007 The Polyfit function and the curve fitting app.mp4 45.8 MB
  007 The Riemann sum (numerical integration) Part I_ The definitions.en.srt 2.1 KB
  007 The Riemann sum (numerical integration) Part I_ The definitions.mp4 18 MB
  007 Wrapping up the final details of our API requests function.en.srt 4.8 KB
  007 Wrapping up the final details of our API requests function.mp4 43.2 MB
  008 A little clarification before we move on to the next module.en.srt 1.9 KB
  008 A little clarification before we move on to the next module.mp4 13.7 MB
  008 Eulers method vs analitical method.en.srt 3.6 KB
  008 Eulers method vs analitical method.mp4 25.3 MB
  008 Gauss-Jordan implementation part III.en.srt 1.4 KB
  008 Gauss-Jordan implementation part III.mp4 12.2 MB
  008 Module's final project_ Newton-Raphson within a while loop (Part I).en.srt 7.6 KB
  008 Module's final project_ Newton-Raphson within a while loop (Part I).mp4 43.1 MB
  008 Read your errors.en.srt 2.9 KB
  008 Read your errors.mp4 12.7 MB
  009 Functions.en.srt 7.3 KB
  009 Functions.mp4 33.1 MB
  009 Gauss-Jordan implementation part IV.en.srt 8.9 KB
  009 Gauss-Jordan implementation part IV.mp4 76.6 MB
  009 Module's final project_ Newton-Raphson within a while loop (Part II).en.srt 5.9 KB
  009 Module's final project_ Newton-Raphson within a while loop (Part II).mp4 39.4 MB
  009 The Riemann sum (numerical integration) Part III_ For within a For.en.srt 11.8 KB
  009 The Riemann sum (numerical integration) Part III_ For within a For.mp4 94.3 MB
  009 ode45 comparison.en.srt 4.6 KB
  009 ode45 comparison.mp4 23.8 MB
  010 Comments.en.srt 5 KB
  010 Comments.mp4 21.3 MB
  010 Gauss-Jordan implementation part V.en.srt 3 KB
  010 Gauss-Jordan implementation part V.mp4 25.1 MB
  010 Module's final project_ Newton-Raphson within a while loop (Bonus Part).en.srt 10.9 KB
  010 Module's final project_ Newton-Raphson within a while loop (Bonus Part).mp4 79 MB
  010 Orange warnings.en.srt 2.8 KB
  010 Orange warnings.mp4 17.4 MB
  011 Gauss-Jordan implementation part VI.en.srt 5.5 KB
  011 Gauss-Jordan implementation part VI.mp4 45.4 MB
  011 Plot numbering and tittles, axis labeling and the grid on command.en.srt 4.3 KB
  011 Plot numbering and tittles, axis labeling and the grid on command.mp4 31.8 MB
  011 Variable types and matrix declarations.en.srt 5.6 KB
  011 Variable types and matrix declarations.mp4 24.4 MB
  011 fzero function.en.srt 3.5 KB
  011 fzero function.mp4 15 MB
  012 Gauss-Jordan implementation part VII.en.srt 1.2 KB
  012 Gauss-Jordan implementation part VII.mp4 10.3 MB
  012 Global and local variables.en.srt 5.9 KB
  012 Global and local variables.mp4 29 MB
  012 Saving plots as images (do not screen capture them).en.srt 1.4 KB
  012 Saving plots as images (do not screen capture them).mp4 6.2 MB
  012 fsolve function.en.srt 2.4 KB
  012 fsolve function.mp4 15 MB
  013 Gauss-Jordan implementation part VIII.en.srt 7 KB
  013 Gauss-Jordan implementation part VIII.mp4 57.6 MB
  013 The Trapezoid rule (numerical integration) Part I_ The definitions.en.srt 2.6 KB
  013 The Trapezoid rule (numerical integration) Part I_ The definitions.mp4 17.6 MB
  013 The input and disp commands.en.srt 10.8 KB
  013 The input and disp commands.mp4 45.1 MB
  014 Linsolve function.en.srt 3.3 KB
  014 Linsolve function.mp4 18.8 MB
  014 The switch case statement.en.srt 8 KB
  014 The switch case statement.mp4 40.5 MB
  015 Module's final project.en.srt 9.5 KB
  015 Module's final project.mp4 63.8 MB
  015 The Trapezoid rule and the Riemann sum by using MATLAB prebuilt functions.mp4 77 MB
  035 PDF the For Loop and the While Loop.pdf 42 KB
  036 PDF the For Loop and the While Loop.pdf 42 KB
  037 PDF the For Loop and the While Loop.pdf 42 KB
  038 PDF the newton-rhapson method.pdf 373.5 KB
  049 GAUSS-JORDAN.pdf 68.4 KB
  068 projectile_motion.mat 716.8 B
  069 curve fitting.pdf 305.3 KB
  070 projectile_motion.mat 716.8 B
  071 projectile_motion.mat 716.8 B
  080 Eulers_demonstration.m 1 KB
  080 eulers method.pdf 892.8 KB
  085 RLC circuits.pdf 810.8 KB
  Bonus Resources.txt 307.2 B
  Get Bonus Downloads Here.url 204.8 B
  external-assets-links.txt 204.8 B
  ▲ 194 total files

Description


MATLAB: From absolute scratch to the top!

Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.35 GB | Duration: 8h 53m
Learning to ''think as a machine''
What you'll learn
Matlab programming
Matlab
Matlab applications
Differential equations solving via Matlab
Matlab and API programming
Curve Fitting

Description
Programming is ''TALKING'' to a machine in order to let it know what do we want and expect which requires a specific SINTAXIS. Most students get frustrated from not understanding programming because most systems out there do not stop to explain how machines work and ''THINK''. And I know what you are thinking: Machines do not think, do they? Actually no, but they are very ''dumb'' to do things that we take for granted, like counting from 1 to 10, for example. Only by understanding the ins and outs of what is happening inside the ''BRAINS'' of a computer (i.e. how it ''THINKS'') will we be able to adequately ''TALK'' to them. Every concept in this course will be explained and practiced with an example so that we see how the machine is reading what we are telling it to do. By knowing how the machine ''READ'' and interpreted your instructions, SINTAXIS will come as second nature, and you won't need to learn it by memory as you will have understood it.

This course will arm you with everything you need to know to be able to use MATLAB in your college and professional career by the end of it so you can let Matlab be your helpful ally in any kind of statistical, mathematical, engineering or logical task that needs a computer solution.

At the beggining of every module, we will see the exact results of our practical project so that we aim all the concepts that we learn towards it, thus, we will see each and every tool with a goal in mind.

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Thank You.

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