Lectures related to Causal & Total Order Broadcast

Distributed Algorithms: Project Implementation and Evaluation

Covers the implementation and evaluation of a practical project in Distributed Algorithms, focusing on building Perfect Links, FIFO Broadcast, and Localized Causal Broadcast.

Harmonic Forms: Main Theorem

Explores harmonic forms on Riemann surfaces and the uniqueness of solutions to harmonic equations.

Ergo: ergometry figures

Covers the analysis of ergometry figures using Excel and the interpretation of respiratory and cardiovascular parameters.

Excitonic Devices: Modeling and Applications

Covers excitonic device modeling and exciton control using 2D materials.

MapReduce: Execution Models for Distributed Computing

Introduces the MapReduce programming model for distributed computing, focusing on its vision and under-the-hood mechanisms.

Advanced Spark Optimization Techniques: Managing Big Data

Discusses advanced Spark optimization techniques for managing big data efficiently, focusing on parallelization, shuffle operations, and memory management.

Lattice Agreement

Explains lattice agreement in distributed algorithms, focusing on processes agreeing on decisions despite failures.

Distributed Algorithms: Exam Review

Covers a review of past exams on distributed algorithms, focusing on key concepts such as Terminating Reliable Broadcast, Consensus, and Leader Election.

Distributed Information Systems: Overview and Models

Covers Distributed Information Systems, key tasks, methods, projects, evaluation, and exam support.

Semiconductor Devices II: Defects Engineering

Covers the analysis of measurements and defects engineering in semiconductor devices, including density of states and defect probing.

Register Operations: Understanding and Solutions

Explores register value maintenance, safe executions, and the necessity of timestamps in distributed systems.

Total Order Broadcast: Consensus Transformation

Explores causal and total order broadcast in distributed algorithms, including exercises on total-order property and consensus transformation.

Big Data Challenges: Scaling to Massive Data

Explores challenges of handling massive data in the era of big data, discussing solutions like MapReduce and Spark.

Bonus Malus System: Transition Probabilities

Explores the Bonus Malus system for insurance premiums and Markov chain transition probabilities.

General-Purpose Distributed Execution System

Explores the design of a general-purpose distributed execution system, covering challenges, specialized frameworks, decentralized control logic, and high-performance shuffle.

Distributed Algorithms: Mock Exam Solutions

Covers solutions to a mock exam on Distributed Algorithms, addressing topics like Perfect Failure Detectors and Consensus.

Fundamental Groups

Explores fundamental groups, homotopy classes, and coverings in connected manifolds.

Structural Mechanics: Vectors and Cartesian Coordinates

Covers the fundamentals of structural mechanics, focusing on vectors and Cartesian coordinates.

Common Source Amplifier Exercise

Covers the exercise on determining key parameters of a common source amplifier.

Introduction to Applied Data Analysis

Introduces the Applied Data Analysis course at EPFL, covering a broad range of data analysis topics and emphasizing continuous learning in data science.