Introduces a project-based course in communications and robotics, emphasizing practical projects and independent learning to prepare students for real-world challenges.
Explores neurobiological signal processing, covering spike modeling, signal classification, and data characterization using principal component analysis.
Introduces mathematical tools for communication systems and data science, focusing on stochastic processes and preparing students for advanced courses.
Covers the design and function of differential amplifiers, focusing on operational amplifiers and comparators, including their gain characteristics and circuit configurations.
Explores phase transitions in physics and computational problems, highlighting challenges faced by algorithms and the application of physics principles in understanding neural networks.
