Course

Computational Thinking with Beginning C Programming

University of Colorado System

This specialization delves into computational thinking and beginning C programming, offering a comprehensive exploration of problem-solving processes and programming concepts. From algorithms, data analysis, and problem decomposition to simulation, algorithm analysis, and pointers, learners will acquire essential skills to develop practical solutions.

The 4-course program ensures a gradual learning curve, starting with fundamental concepts and gradually progressing to more advanced topics. Each module builds on the previous one, offering a well-rounded educational experience.

  • Exploration of computational thinking and beginning C programming
  • Comprehensive coverage of algorithms, data analysis, and problem decomposition
  • Gradual progression from fundamental concepts to advanced topics
  • Hands-on practice through course projects and exercises

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Computational Thinking with Beginning C Programming
Course Modules

This 4-course specialization introduces learners to computational thinking and beginning C programming. It covers algorithms, data analysis, problem decomposition, and more, providing a comprehensive educational journey.

Algorithms, Data Collection, and Starting to Code

This course initiates the journey with an exploration of computational thinking and beginning C programming. It covers algorithms, data collection, and the basics of writing C programs. Learners will gain hands-on experience in developing solutions for practical problems, setting the foundation for the subsequent modules.

Data Analysis and Representation, Selection and Iteration

Building on the foundational knowledge from the previous course, learners will delve into data analysis, representation, selection, and iteration. This module equips students with techniques to analyze data sets and make decisions in code, enhancing their problem-solving and programming skills.

Abstraction, Problem Decomposition, and Functions

Continuing the exploration of computational thinking and beginning C programming, this module focuses on abstraction, problem decomposition, and functions. Learners will delve into handling complexity through arrays, strings, and functions, gaining essential skills for developing efficient and structured programs.

Simulation, Algorithm Analysis, and Pointers

In the final course, learners will explore automation, simulation, parallelization, and algorithm analysis, enabling them to quantify algorithm complexity and utilize pointers for more advanced programming. The module provides a comprehensive understanding of computational thinking and C programming, preparing learners for practical applications in the field.

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