ST-Applied Biostatistics

Intermediate statistics illustrated using examples from ecology. Topics include ANOVA, linear regression (simple and multiple), correlation, logistic regression, continency tables and noparametric methods. Techniques discussed in lectures and applied in laboratories.

Studies/Building Info Modeling

This course provides graduate students with an opportunity to deepen their studies in Building Information Modeling (BIM), a concept that is at the heart of contemporary digital building planning and execution. In addition to learning about basic concepts from BCT 420 (advanced 3D modeling, digital fabrication, and an overview of Autodesk Revit and Trimble SketchUp), students in this course are required to independently research various BIM-related topics and apply them through project work and presentations.

Secure Distributed Systems

This is a class devoted to the study of securing distributed systems, with decentralized digital currencies called blockchains serving as our real platform of interest. We'll start with the fundamentals of Lamport's, Fischer's, and Douceur's results that fence-in consensus systems, beyond blockchains. We'll also look at the efficiency of the network architectures for peer-to-peer communication and attacks on their security such as denial of service attacks).

Secure Distributed Systems

This is a class devoted to the study of securing distributed systems, with decentralized digital currencies called blockchains serving as our real platform of interest. We'll start with the fundamentals of Lamport's, Fischer's, and Douceur's results that fence-in consensus systems, beyond blockchains. We'll also look at the efficiency of the network architectures for peer-to-peer communication and attacks on their security such as denial of service attacks).

ST- Intro to Data Science

The terms "data science" and "big data" appear in the news media and in everyday conversations. Moreover, we are told that we live in the "age of information", where almost every business venture and scientific research initiative collect a massive amount of data which may contain valuable information. This course is an introduction to the concepts and skills involved with the collection, management, analysis, and presentation of large data sets and the data products that result from the work of data scientists. Privacy and ethical issues are discussed.

Computer Systems Principles

Large-scale software systems like Google - deployed over a world-wide network of hundreds of thousands of computers - have become a part of our lives. These are systems success stories - they are reliable, available ("up" nearly all the time), handle an unbelievable amount of load from users around the world, yet provide virtually instantaneous results.

Computer Systems Principles

Large-scale software systems like Google - deployed over a world-wide network of hundreds of thousands of computers - have become a part of our lives. These are systems success stories - they are reliable, available ("up" nearly all the time), handle an unbelievable amount of load from users around the world, yet provide virtually instantaneous results.
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