Problem Solving Techniques In Computer

Problem Solving Techniques In Computer-49
This course is an introduction to computer science and programming in Python.Upon successful completion of this course, you will be able to: 1.Solving problems is a programmer’s bread and butter, and everyone has their own method, I personally found 5 steps that most likely than not will help you, not only to solve problems but to do it faster and more efficiently.

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See if you can make your process better, if there is an easier way to do it or if there are some steps you can cut to simplify it (like loops).

This step is very important, remember that is much easier to reconstruct your process in your head than it is in your code.

Experienced programmers sometimes omit this step, but I can assure you no matter how experienced you are, if you write some pseudo code, the process of writing your final code will be much easier since you only have to translate each line of pseudo code into actual code.

Let's think about the steps needed to write a function that returns a number's squared value.

Module 0: Introduction -In Module 0, you will meet the instructional team and be introduced to the four themes of this course: computer science, problem solving, Python programming, and how to create video games.

Module 1: Design Hacking Version 1 -In Module 1, you will explore the game creation process that is used in this course.Take a new computational problem and develop a plan to solve it through problem understanding and decomposition. Follow a design creation process that includes specifications, algorithms, and testing. Code, test, and debug a program in Python, based on your design.Important computer science concepts such as problem solving (computational thinking), problem decomposition, algorithms, abstraction, and software quality are emphasized throughout.The Python programming language and video games are used to demonstrate computer science concepts in a concrete and fun manner.However, a learner can take the knowledge and skills from this course and apply them to non-game problems, other programming languages, and other computer science courses.That being said, solve the problem manually first, that way you know exactly what you want to automate, this will save you a lot of time wasted if you just start writing code like a maniac.Test your process with more than one input and some corner cases to validate it, pay close attention to every single step you take in your head, write it down, as each one counts.You do not need any previous programming, Python, or video game experience.However, some computer skills (e.g., mouse, keyboard, document editing), knowledge of algebra, attention to detail (as with many technical subjects), and a “just give it a try” spirit will be keys to your success.remember you can always make your code better along the way.Lets use our square example (very simple for demonstration purposes): There you go!


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