Explores boolean types, logical operators, and control structures in Python, emphasizing the evaluation of expressions and the use of relational operators.
Introduces numbers and booleans in Python, covering numeric types, arithmetic operations, logical operations, and comparisons.
Covers the optimization of logic functions using Karnaugh diagrams and dealing with incomplete defined functions.
Covers the Deutsch and Josza problem in quantum computation, focusing on boolean functions and oracles.
Introduces Python programming basics, covering variables, methods, conditions, loops, and boolean logic.
Explores fault simulation in VLSI testing, covering fault coverage, fault models, algorithms, types of simulators, deductive simulation, and fault propagation rules.
