Algorithmic problem solving is the art of formulating efficient methods that solve problems of a mathematical nature. From the many numerical algo-rithms developed by the ancient Babylonians to the founding of graph theory by Euler, algorithmic problem solving has been a popular intellectual pursuit during the last few thousand years.

computer in solving a problem depends on how correctly and precisely we define the problem, design a solution (algorithm) and implement the solution (program) using a programming language. Thus, problem solving is the process of identifying a problem, developing an algorithm for the identified problem and finally implementing the

Computer science is the study of problems, problem-solving, and the solutions that come out of the problem-solving process. Given a problem, a computer scientist’s goal is to develop an algorithm, a step-by-step list of instructions for solving any instance of …

• define algorithm and heuristic and their role in problem solving • describe typical common problem solving strategies • explain some common roadblocks to effective problem solving.

Problem Solving Process Phase 1 –Analysis and Design Analyze the problem by outlining the problem and its requirements Design (algorithm) to solve the problem ( Flow chart, pseudo code) Algorithm tracing Phase 2 - Implementing the algorithm Implement the algorithm in code (in Programming Language →Program)

Chapter: 2.1 Algorithm design and problem-solving Topic: 2.1.1 Problem-solving and design Algorithms should be evaluated using the following criteria: 1. Efficiency 2. Correctness 3. Appropriateness Efficiency An algorithm’s efficiency can be judged in terms of: Speed: How quick the algorithm produces the required output.

Algorithmic Problem Solving with Python John B. Schneider Shira Lynn Broschat Jess Dahmen February 22, 2019

Emphasis will be placed on implementing computer programs towards solutions for practical problems using Python. The objectives of this course are: to provide students with hands-on experience in computer programing and computational problem solving.

An algorithm is a sequence of unambiguous instructions for solving a problem in a finite amount of time. In addition, all algorithms must satisfy the following criteria: 1. Input 2. Output 3. Definiteness 4. Finiteness 5. Effectiveness. 5. Define theta notation (Nov/Dec 2014)

Algorithm design involves developing step-by-step instructions to solve a problem. Algorithm: a sequence of defined steps that can be carried out to perform a task KEY TERM