Algorithms, building blocks of algorithms (statements, state, control flow, functions), notation (pseudo code, flow chart, programming language), algorithmic problem solving, simple strategies for developing algorithms (iteration, recursion).

find an algorithm that would solve the problem. Before decomposition, a problem is only known as a black box with inputs, outputs, and possible relationships to other problems.

It outlines examples of problems, the steps involved in solving them, and the role of flowcharts in representing algorithms visually. Additionally, it addresses the concepts of problem instances, generalization, and specialization in mathematical thinking.

• Introduce the essential skills for a logical thinking for problem solving • Gain knowledge about the different data types and control flow statements • Impart knowledge about the functions, list, set tuples and dictionaries • Learn Scratch and Raptor tools for programming and flowchart.

Algorithmic Problem Solving: Algorithms, building blocks of algorithms (statements, state, control flow, functions), Notation (Pseudo code, flow chart). Introduction to the C Language: Basic...

2 days ago · Algorithms and algorithmic problem solving are at the heart of computer science. This module introduces students to the design and analysis of efficient algorithms and data structures. Students learn how to quantify the efficiency of an algorithm and what algorithmic solutions are efficient.

Develop efficient algorithms for solving a problem. Use the various constructs of Python viz. conditional, iteration. Write programs making judicious use of Lists, Strings, Tuples, and Dictionaries wherever required.

To access the optimal control modules, import control.optimal: To describe an optimal control problem we need an input/output system, a time horizon, a cost function, and (optionally) a set of constraints on the state and/or input, along the trajectory and/or at the terminal time.

Problem Solving with Algorithms and Data Structures, Release 3.0 Control constructs allow algorithmic steps to be represented in a convenient yet unambiguous way.

The document discusses problem solving and includes steps in problem solving such as problem analysis, designing a solution, implementation, testing, and documentation. It also discusses problem analysis using input, process, output and provides examples.