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Lecture
Boolean Algebra: Python Programming
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Logic Synthesis: Designing Efficient Digital Circuits
Discusses logic synthesis techniques for designing efficient digital circuits using minterms, maxterms, and new gates like XOR and XNOR.
Boolean Algebra: Properties and Theorems
Covers the properties and theorems of Boolean algebra in logic systems.
Python Programming Basics
Introduces Python programming basics, covering variables, methods, conditions, loops, and boolean logic.
Propositional Logic: Normal Forms and Applications
Explores Disjunctive Normal Form and Conjunctive Normal Form in propositional logic, their applications, and complexity, with practical examples.
Digital Systems Overview: Evolution and Fundamentals
Explores the evolution of digital systems, covering basics like Boolean algebra and logic gates, and emphasizes teamwork skills and professional vocabulary.
Optimizing Logic Functions
Covers the optimization of logic functions using Karnaugh diagrams and dealing with incomplete defined functions.
Functions and Control Structures in Python
Introduces functions and control structures in Python, emphasizing their importance for code organization and reusability.
Conditionals: Basics and Examples
Covers the basics of conditionals and their implementation in programming.
Prime Numbers: Finding and Testing
Covers the definition of a function to determine if a given number is prime.
Boolean Type: Common Errors
Addresses common errors with the boolean type in Java and how to avoid them.