Problem solving is the systematic approach to define the problem and creating number of solutions. The problem solving process starts with the problem specifications and ends with a

Jan 23, 2025 · GE3151 Problem Solving and Python Programming Syllabus UNIT I: COMPUTATIONAL THINKING AND PROBLEM SOLVING Fundamentals of Computing – Identification of Computational Problems -Algorithms, building blocks of algorithms (statements, state, control flow, functions), notation (pseudo code, flow chart, programming language), algorithmic problem ...

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R2021 Notes [PDF] GE3151 Problem Solving and Python Programming (PSPP) Books, Lecture Notes, 2 marks with answers, Important Part B 16 Marks Questions, Question Bank & Syllabus

What is a program?

To understand the basics of algorithmic problem solving. • To learn to solve problems using Python conditionals and loops. • To define Python functions and use function calls to solve problems. • To use Python data structures - lists, tuples, dictionaries to represent complex data. • To do input/output with files in Python. UNIT I.

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instructions should be given by us to solve the problem. Thus, the success of a computer in solving a problem depends on how correctly and precisely we define the problem, design a solution (algorithm) and imple.

Problem solving is the systematic approach to define the problem and creating number of solutions. The problem solving process starts with the problem specifications and ends with a correct program. Problem solving technique is a set of techniques that helps in providing logic for solving a problem. Algorithms. Flowcharts. Pseudo codes. Programs.