PLTW Computer Science Principles Algorithms

What does PLTW stand for?

• Pathway to Learning and Teaching Workshops

• Project Lead The Way

• Programming Language and Technology Workshop

• Professional Learning for Teachers and Workers

What is Computer Science Principles?

• A course that introduces students to the foundational concepts of computer science and computational thinking.

• A course that explores the ethical implications of technology.

• A course that teaches advanced programming languages.

• A course that focuses on the history of computer science.

Define algorithms.

• Algorithms are step-by-step procedures or instructions for solving a problem or completing a task.

• Algorithms are tools used for organizing data.

• Algorithms are mathematical equations used to solve a problem.

• Algorithms are random guesses for solving a problem.

What are the main components of an algorithm?

• variables, loops, and conditionals

• constants, operators, and expressions

• functions, arrays, and objects

• input, output, control structures, and computational steps

What is the purpose of PLTW in computer science education?

• To promote memorization of computer science concepts.

• To discourage critical thinking in computer science.

• To focus solely on theoretical knowledge in computer science.

• To provide hands-on, project-based learning experiences that develop computational thinking and problem-solving skills.

Imagine you are a software engineer working on a large project. How would you explain the concept of abstraction in this context?

• Abstraction is like creating a blueprint of a building. It simplifies the complex system of the project by focusing on essential details and hiding unnecessary complexities, just like a blueprint focuses on the overall design and hides the intricate details of the construction process.

• Abstraction is like randomly selecting rooms in a building and ignoring the rest.

• Abstraction is like ignoring the blueprint and focusing only on the intricate details of the construction process.

• Abstraction is like making the blueprint of the building even more complex by adding unnecessary details.

Explain the concept of abstraction in Computer Science Principles.

• Abstraction is the process of simplifying complex systems by focusing on essential details and hiding unnecessary complexities.

• Abstraction is the process of randomly selecting details from a complex system and ignoring the rest.

• Abstraction is the process of completely ignoring essential details and focusing only on unnecessary complexities.

• Abstraction is the process of making complex systems even more complex by adding unnecessary details.

What are some common algorithm design techniques?

• Parallel algorithms

• Divide and conquer, Greedy algorithms, Dynamic programming, Backtracking, Brute force, Randomized algorithms

• Heuristic algorithms

• Genetic algorithms

How do algorithms help solve problems?

• By randomly guessing a solution.

• By providing a single solution without any steps.

• By making the problem more complicated and difficult to solve.

• By providing a step-by-step procedure or set of rules to follow in order to reach a solution.

What are some examples of algorithms used in everyday life?

• Machine learning algorithms, encryption algorithms, image recognition algorithms

• Sorting algorithms, recommendation algorithms, navigation algorithms

• Graph algorithms, compression algorithms, genetic algorithms

• Search algorithms, encryption algorithms, machine learning algorithms