Algorithms, Data Collection, and Starting to Code

This course is part of Computational Thinking with Beginning C Programming Specialization

Instructor: Dr. Tim "Dr. T" Chamillard

Skills you'll gain

  •   Development Environment
  •   Program Development
  •   Computer Programming
  •   Computational Thinking
  •   Microsoft Visual Studio
  •   Data Collection
  •   Programming Principles
  •   Algorithms
  •   Data Structures
  •   C (Programming Language)
  •   Debugging
  • There are 4 modules in this course

    You may have heard lots of talk about computational thinking recently, but if you ask 10 different people what it is you’ll probably get 10 different answers. Rather than trying to define computational thinking, we’ll just say it’s a problem-solving process that includes lots of different components. In this course, we’ll explore algorithms and data collection. Most people have a better understanding of what beginning C programming means! You’ll start learning how to develop C programs in this course by writing your first C program; learning about data types, variables, and constants; and honing your C programming skills by implementing a variety of STEM computations. This course doesn't assume you have any previous programming experience, so don't worry if you've never written code before. If that all sounds interesting to you, go ahead and jump into the course! Caution: Beginning (assuming no prior programming knowledge) is not the same as easy (not hard to do). Learning to program IS hard to do, especially since the courses in this specialization are built from a freshman-level college course. Meeting the course challenges while you master the material will be rewarding to you, but doing that will require hard work and maybe even a few expletives along the way. Module 1: Learn about algorithms and write your first C program Module 2: Discover how we store data in our programs Module 3: Explore how we use data collection to solve problems and answer questions Module 4: Practice writing C programs to implement STEM computations

    Data Types, Variables, and Constants

    Data Collection and More Algorithms

    STEM Computations

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