External Course

Foundations of Data Science - Textbook

DSA ADS Course - 2021

 

Avrim Blum, John Hopcroft, Ravindran Kannan 

June, 2016 

Introduction:

 

Computer science as an academic discipline began in the 1960’s. Emphasis was on programming languages, compilers, operating systems, and the mathematical theory that supported these areas. Courses in theoretical computer science covered finite automata, regular expressions, context free languages, and computability. 

 

Introduction to Graphical Models and Bayesian Networks

DSA ADS Course - 2021

Graphical Models, Bayesian Networks, Applied Probability, Probabilistic Causation, Causal Inference

Applied data scientists require high-level understanding of probability theory and specialized techniques to design systems and solve problems in the real world.  Graphical model formalism provides a natural framework for the design of new data science systems.

Secure the Data, Not the Device: How Decentralized File Storage Creates Resilience Against the Risk of Ransomware Attacks

November, 2021

DSA ADS Course, 2021

Data Security, Data Engineering, Cyber Security

Discuss data security and data engineering applying decentralized storage strategy. Discuss security risks and how to mitigate without unreasonable performance disruption. Weigh trade-offs in several operational scenarios. Discuss potential legal exposure and both civil and criminal liability in different scenarios.

Secure the Data, Not the Device: How Decentralized File Storage Creates Resilience Against the Risk of Ransomware Attacks

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