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UTeach Computer Science AP CS Principles Unit 1: Computational Thinking
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UNIT 1: Computational Thinking
In order to successfully master the art of creating computational artifacts, it is important that students develop a clear understanding of the complex processes and structures that make up an algorithmic solution to a given problem. In addition, it is critical that they be able to formally express those solutions clearly and unambiguously, such as what can be achieved through the use of pseudocode or a well-specified programming language. This unit focuses on introducing students to these concepts and helping them to develop the skills that they will rely on throughout the remainder of the course.
First, students will explore a number of techniques for analyzing common problems and visualizing their solutions. They will use these techniques to investigate a number of real-world applications, such as searching, sorting, and encryption. Next, students will examine how programmers utilize various levels of abstraction in the languages that they use to write programs and communicate their intentions in a form that can be executed by a computer. Finally, students will turn their attention to the question of whether various problems are solvable and investigate the factors that affect the efficiency of a solution to a given problem.
In order to successfully master the art of creating computational artifacts, it is important that students develop a clear understanding of the complex processes and structures that make up an algorithmic solution to a given problem. In addition, it is critical that they be able to formally express those solutions clearly and unambiguously, such as what can be achieved through the use of pseudocode or a well-specified programming language. This unit focuses on introducing students to these concepts and helping them to develop the skills that they will rely on throughout the remainder of the course.
First, students will explore a number of techniques for analyzing common problems and visualizing their solutions. They will use these techniques to investigate a number of real-world applications, such as searching, sorting, and encryption. Next, students will examine how programmers utilize various levels of abstraction in the languages that they use to write programs and communicate their intentions in a form that can be executed by a computer. Finally, students will turn their attention to the question of whether various problems are solvable and investigate the factors that affect the efficiency of a solution to a given problem.