Computational Thinking Week 1: Introduction

These flashcards cover key concepts and necessary information regarding computational thinking and the course structure as presented in the lecture notes.

What is computational thinking?

A problem-solving approach that uses concepts and ideas from computer science.

Name the four components of computational thinking.

Decomposition, Pattern Recognition, Abstraction, Algorithms.

What does decomposition involve in computational thinking?

Breaking down a complex problem into smaller, more manageable parts.

What is the purpose of pattern recognition in computational thinking?

Identifying similarities or trends among problems to find reusable solutions.

What does abstraction allow us to do in computational thinking?

Focus on key details while ignoring unnecessary information.

What is an algorithm?

A step-by-step procedure or formula for solving a problem.

How does computational thinking benefit fields outside of computer science?

It develops problem-solving and logical reasoning skills applicable in various real-life contexts.

What are two real-world applications of computational thinking mentioned in the lecture?

Traffic Congestion Prediction and Smart Waste Management System.

What is the weightage of the written assessment (WRIT-1)?

50% of the overall grade.

What is recursion in computational thinking?

A method where a function calls itself to solve problems that can be broken down into smaller, similar problems.

What is an example of a common algorithm discussed in the lecture?

Binary search, used to find the position of a target value in a sorted array.

What is a key requirement when preparing for the assessments in this module?

Submit original work only and avoid plagiarism.

List one teaching method used in this module.

Lead lectures combined with supporting workshops to clarify methodologies.

How long is the reflective project report required in WRIT-1?

Approximately 2000 x group size words.