Introduction to Computational Thinking


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Introduction to Computational Thinking

About the Book

Using computers as more than glorified typewriters or calculators is an increasingly important aspect of any scientific or technological field, and knowing how to program a computer to solve new problems is becoming as essential a skill as mathematics. Learning how to program can be a frustrating experience at times since computers require a level of preciseness and rigour in how we must express that we never encounter elsewhere in life. On the other hand, learning how to program can also be very rewarding. It is a special feeling to seeing a computer translate your thoughts into actions and see it solve your problems for you. To get to that point, however, you must learn to think about computations in a new way—you must learn computational thinking.

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About the Author

Thomas Mailund
Thomas Mailund

I am an associate professor in bioinformatics at Aarhus University, Denmark. My background in math and computer science but for the last decade my main focus has been on genetics and evolutionary studies, particularly comparative genomics, speciation, and gene flow between emerging species.

Table of Contents

  1. Introduction
  2. Introducing Python programming
  3. Introduction to algorithms
  4. Algorithmic efficiency
  5. Searching and sorting
  6. String algorithms (PLANNED)
  7. Functions (DRAFT)
  8. Inner functions (DRAFT)
  9. Recursion
  10. Divide-and-conquer and Dynamic programming
  11. Hidden Markov models (DRAFT)
  12. Data structures, objects and classes (DRAFT)
  13. Class hierarchies and inheritance (DRAFT)
  14. Sets (DRAFT)
  15. Red-black search trees (DRAFT)
  16. Stacks and queues (DRAFT)
  17. Lexers and parsers (PLANNED)
  18. Priority queues (DRAFT)
  19. Graph algorithms (PLANNED)
  20. Conclusions

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