How to Code: Complex Data


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Learn how to design more complex programs, using new data structures, abstraction, and generative recursion.

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As your program requirements get more complex, you will find that simple addition to the design method make it easy to write well-structured and well-tested code that is easy to maintain.

By learning how to capture common data and control structures using abstraction, your programs will get shorter and better tested.

Building on the core methods from How to Code: Simple Data, this programming course, part of the Software Development MicroMasters program, quickly expands to cover more complex programs on more complex data. Towards the end of the course, you will design programs that even experienced developers would find challenging.

You will also learn how to design search programs. You will design a program to solve Sudoku puzzles and will be able to design many other puzzle solvers as well.

Learners who enrol in the Verified track will receive staff grading for the course project and increased interaction with the instructor and staff.

  • How to identify commonalities in data definitions and functions
  • How to avoid repetition using abstraction
  • How to design functions that operate on graphs
  • How to design programs that search a given problem space to find a valid solution
How to Code: Complex Data

Originally posted 2022-01-05 05:27:11.

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Silas Bamigbola

Certified Computer Engineer & Author, 'Lost Boys'. I believe in the influence of right information. Join me on Twitter.

2 Comments
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