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Multi-user Gaussian Channels with Noisy Feedback

Delves into challenges and opportunities of multi-user Gaussian channels with noisy feedback, presenting a new mathematical framework.

Applied Probability & Stochastic Processes

Covers applied probability, Markov chains, and stochastic processes, including transition matrices, eigenvalues, and communication classes.

Team Communication

Explores challenges in team presentations and emphasizes effective communication and collaboration.

Recursive Functions: Methodology of Development + Debugging

Covers the methodology of development, recursion, and debugging in C++.

Introduction to Signals and Filters

Covers the conversion of analog signals to digital, data compression, and signal reconstruction, highlighting the significance of signal processing in communication systems.

Switch Network Based Embedded Systems

Explores time and safety critical applications in switch network based embedded systems, discussing functional architecture, safety design, and network integration.

Logical Circuits: Basics

Covers logical circuits, gates, and their combinations to perform basic operations on bits, including adding binary numbers.

Boolean Hidden Matching Problem

Covers the Boolean Hidden Matching Problem and its applications to lower bounds.

Recurrence and Transience: Markov Chains

Explores recurrence and transience in Markov chains, discussing the strong Markov property and state classifications.

Distributed Algorithms for Networked Control Systems

Explores distributed algorithms for networked control systems, covering consensus, least-squares regression, and time-varying communication networks.