Use educational affordances of robotics to create CS-STEM opportunities for all learners Mission and Impact Carnegie Mellon Robotics Academy studies how educators can use robots to teach Computer Science, Science, Technology, Engineering, and Mathematics (CS-STEM). Our mission is to use the educational affordances of robotics to create CS-STEM opportunities for all learners. We fulfill our mission
Time series and streaming databases are hot right now. That's why my second wife left me. Just like a lot of people these days, everybody wants one or thinks that they want one. Given this, we are bringing back another season of database technical talks at Carnegie Mellon University in Fall 2017. The "Time Series Database Lectures" is a semester-long seminar series featuring speakers from the lead
A New Category? Domains, Spaces and Equivalence Relations The familiar categories SET and TOP, consisting of sets and arbitrary mappings and of topological spaces and continuous mappings, have many well known closure properties. For example, they are both complete and cocomplete, meaning that they have all (small) limits and colimits. They are well-powered and co-well-powered, meaning that collect
The design of a database management system’s (DBMS) architecture is predicated on the target storage hierarchy. Traditional disk-oriented systems use a two-level hierarchy, with fast volatile memory used for caching, and slower, durable device used for primary storage. As such, these systems use a buffer pool and complex concurrency control schemes to mask disk latencies. Compare this to main memo
Home Page for Charles Rosenberg
When Shipping Petroleum, Air Pollution and Greenhouse Gas Emissions Costs More Than Accidents While the policy debate surrounding crude oil transportation costs has emphasized accidents and spills, a new study by Carnegie Mellon University and University of Pittsburgh researchers indicates the debate is overlooking a far more serious external cost—air pollution and greenhouse gas emissions. Heinz
AMS Citation Trzeciak, R., and CERT Insider Threat Center, T., 2011: The CERT Insider Threat Database. Carnegie Mellon University, Software Engineering Institute's Insights (blog), Accessed September 5, 2024, https://insights.sei.cmu.edu/blog/the-cert-insider-threat-database/. Copy APA Citation Trzeciak, R., & CERT Insider Threat Center, T. (2011, August 15). The CERT Insider Threat Database. Retr
Design & Teach a Course Articulate Your Learning Objectives Before you decide on the content to cover in your course, endow your course with a strong internal structure conducive to student learning. Alignment among three main course components ensures an internally consistent structure. Alignment is when the: OBJECTIVES articulate the knowledge and skills you want students to acquire by the end o
Currently, I am an Associate Professor at the School of Intelligent Systems Engineering, Sun Yat-sen University. Before that, I was a Project Scientist in Machine Learning Department, Carnegie Mellon University, working with Prof. Eric P. Xing. I obtained my Ph.D. degree in the School of Data and Computer Science at Sun Yat-sen University in June 2016, advised by Prof. Liang Lin. I was a visiting
Kernel Methods Barnabás Póczos 2 Outline • Quick Introduction • Feature space • Perceptron in the feature space • Kernels • Mercer’s theorem • Finite domain • Arbitrary domain • Kernel families • Constructing new kernels from kernels • Constructing feature maps from kernels • Reproducing Kernel Hilbert Spaces (RKHS) • The Representer Theorem 3 Ralf Herbrich: Learning Kernel Classifiers Chapter 2 Q
Aayush Bansal I received a PhD in Robotics from Carnegie Mellon University for my work on unsupervised learning of the 4D audio-visual world from sparse unconstrained real-world samples. I am really fortunate to have spent the wonderful graduate school days under the tutelage of Deva Ramanan and Yaser Sheikh. During the course of my graduate studies, I received an Uber Presidential Fellowship for
Overview During the semester, you will be building a new disk-oriented storage manager for the SQLite DBMS. Such a storage manager assumes that the primary storage location of the database is on disk. You will be using SQLite's Virtual Table interface; this will allow you use your storage manager in SQLite without changing application-level code. You do not need to know exactly how SQLite works to
This multidisciplinary junior/senior-level course is designed to provide a thorough introduction to modern constructive logic, its roots in philosophy, its numerous applications in computer science, and its mathematical properties. Some of the topics to be covered are intuitionistic logic, inductive definitions, functional programming, type theory, connections between classical and constructive lo
A Concise Course in Statistical Inference by Larry Wasserman Get the book from Springer or Amazon Errata (last updated April 3 2013) In pdf (For first printing) In pdf (For second printing) R stuff Here is a bunch of undocumented R code for the book. I plan to fix it up and document it. Right now, it is very rough. Use at your own risk. Download R R code for exercises and examples: Coming Soon Int
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