Our Courses

MATLAB Programming for Engineers and Scientists

MATLAB Programming for Engineers and Scientists

This Specialization aims to take learners with little to no programming experience to being able to create MATLAB programs that solve real-world problems in engineering and the sciences. The focus is on computer programming in general, but the numerous language features that make MATLAB uniquely suited to engineering and scientific computing are also covered in depth.

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  • English
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Differential Calculus through Data and Modeling

Differential Calculus through Data and Modeling

This specialization provides an introduction to topics in single and multivariable calculus, and focuses on using calculus to address questions in the natural and social sciences. Students will learn to use the tools of calculus to process, analyze, and interpret data, and to communicate meaningful results, using scientific computing and mathematical modeling. Topics include functions as models of data, differential and integral calculus of functions of one and several variables, differential equations, and optimization and estimation techniques.

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  • English
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C Programming: Language Foundations - 2

C Programming: Language Foundations - 2

In this course you will learn to use logical statements and arrays in C. Logical statements are used for decision-making with follow-up instructions, based on conditions you define. Arrays are used to store, keep track of, and organize larger amounts of data. You will furthermore implement some fundamental algorithms to search and sort data. Why learn C? Not only is it one of the most stable and popular programming languages in the world, it's also used to power almost all electronic devices.

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  • 14 hours
  • English
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Integral Calculus through Data and Modeling

Integral Calculus through Data and Modeling

This specialization builds on topics introduced in single and multivariable differentiable calculus to develop the theory and applications of integral calculus. , The focus on the specialization is to using calculus to address questions in the natural and social sciences. Students will learn to use the techniques presented in this class to process, analyze, and interpret data, and to communicate meaningful results, using scientific computing and mathematical modeling.

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  • English
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Linux Basics: The Command Line Interface - 6

Linux Basics: The Command Line Interface - 6

This course will introduce you to Linux, a powerful operating system used by most professional developers! Why add Linux to your C programming skills? Most people use Linux without knowing it! Whether you use a smartphone, search the web, or use an ATM, each time Linux is involved somewhere in the background. It is the most used operating system for embedded devices and high-performance servers.

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  • 8 hours
  • English
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C Programming: Using Linux Tools and Libraries - 7

C Programming: Using Linux Tools and Libraries - 7

Learn how to use professional tools and libraries to write and build C programs within the Linux operating system. This seventh and final course in the C Programming with Linux Specialization will allow you to develop and use your C code within the Linux operating system. Using libraries in C is a fundamental concept when it comes to sharing code with others.

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  • 9 hours
  • English
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C Programming: Modular Programming and Memory Management - 3

C Programming: Modular Programming and Memory Management - 3

Enhance your coding skills along your path to becoming a proficient C programmer with the essential concepts of functions and pointers. In this course you will be introduced to the concept of modular programming: that is, dividing up more complex tasks into manageable pieces. You will learn how to write your own functions (just like functions in mathematics for example).

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  • 10 hours
  • English
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C Programming: Advanced Data Types - 5

C Programming: Advanced Data Types - 5

In this course you will define your own data types in C, and use the newly created types to more efficiently store and process your data. Many programming languages provide a number of built-in data types to store things such as integers, decimals, and characters in variables, but what if you wanted to store more complex data? Defining your own data types in C allows you to more efficiently store and process data such as a customer's name, age and other relevant data, all in one single variable!

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  • 8 hours
  • English
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C Programming: Pointers and Memory Management - 4

C Programming: Pointers and Memory Management - 4

In this course, we will examine a key concept, foundational to any programming language: the usage of memory. This course builds upon the basic concept of pointers, discussed in C Programming: Modular Programming and Memory Management, and introduces the more advanced usage of pointers and pointer arithmetic. Arrays of pointers and multidimensional arrays are addressed, and you will learn how to allocate memory for your own data during program execution.

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  • 7 hours
  • English
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Julia Scientific Programming

Julia Scientific Programming

This course introduces you to Julia as a first programming language. Julia is a high-level, high-performance dynamic programming language developed specifically for scientific computing. This language will be particularly useful for applications in physics, chemistry, astronomy, engineering, data science, bioinformatics, and many more.

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  • 19 hours
  • English
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Mastering Programming with MATLAB

Mastering Programming with MATLAB

The course builds on the foundation laid by the first course of the Specialization called “Introduction to Programming with MATLAB.” It covers more advanced programming concepts such as recursion, vectorization, function handles, algorithm efficiency and others.

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  • 56 hours
  • English
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