Introduces the backpack problem, a discrete optimization problem with constraints and algorithms to solve it.
Explores complexity classes P and NP, highlighting solvable and verifiable problems, including NP-complete challenges.
Covers logical circuits, gates, and their combinations to perform basic operations on bits, including adding binary numbers.
Explores signal filtering using low-pass filters to reduce noise and distortions in signals, showcasing frequency suppression and smoothing effects.
Explores representing analog signals digitally through sampling and quantization, discussing sampling frequency, undersampling consequences, and the stroboscopic effect.
Explores signal reconstruction basics, including interpolation techniques and formulas using triangular and sinc functions.
Explores the sampling theorem, illustrating signal reconstruction and the importance of meeting the Nyquist criterion.
