Python Foundations & Algorithmic Thinking

Overview

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This course introduces Python programming alongside algorithmic problem-solving. Learners practice debugging, decomposition, iterative and recursive implementation, and informal evaluation of algorithm correctness and efficiency.

Syllabus

Write Python programs using variables, expressions, and data types. Debug and test Python programs using systematic techniques.
Break down computational problems into smaller, manageable components. Evaluate the correctness and efficiency of basic algorithmic solutions.
Implement iterative and recursive functions to solve small computational tasks. ompare the performance of simple algorithms using informal complexity reasoning.