CMU School of Computer Science
Learn more on our Faculty Hiring page. Carnegie Mellon’s School of Computer Science is widely recognized as one of the first and best computer science programs in the world. Our programs train the next generation of innovators to solve real-world problems and improve the way people live and work. See Our Programs Donate to SCS.
Master's Programs - CMU School of Computer Science
The M.S. in Computational Biology program seeks to train the world's best computational biologists at the master's level. The curriculum provides both breadth and depth of training in computational biology, and is built on a solid foundation of biology, computer science, statistics and machine learning (data sciences).
Undergraduate Programs - CMU School of Computer Science
Undergraduate Majors. The School of Computer Science offers five bachelor's degrees. Artificial Intelligence. Computational Biology. Computer Science. Human-Computer Interaction. Robotics. Interdisciplinary majors in computer science and the arts, and music and technology are also available. Admission to all bachelor of science programs in SCS ...
The Fast Fourier Transform (FFT) Algorithm. The FFT is a fast algorithm for computing the DFT. If we take the 2-point DFT and 4-point DFT and generalize them to 8-point, 16-point, ..., 2r-point, we get the FFT algorithm. To computetheDFT of an N-point sequence usingequation (1) would takeO. N2/mul- tiplies and adds.
15-112: Fundamentals of Programming - CMU School of …
A technical introduction to the fundamentals of programming with an emphasis on producing clear, robust, and reasonably efficient code using top-down design, informal analysis, and effective testing and debugging. Starting from first principles, we will cover a large subset of the Python programming language, including its standard libraries ...
Kalman Filtering Tutorial. 1. Understanding and Applying Kalman Filtering. Lindsay Kleeman Department of Electrical and Computer Systems Engineering Monash University, Clayton. 2. Introduction. Objectives: 1. Provide a basic understanding of Kalman Filtering and assumptions behind its implementation.
Frequently Asked Questions - CMU School of Computer Science
Frequently Asked Questions. The School of Computer Science offers a wide range of professional and academic Ph.D. and master's programs across its seven departments. Admissions and requirements vary by program, and are determined by the program's home department.Below you will find a variety of frequently asked questions about our application ...
vim's nd and replace functions accept regular expressions. By default, vim assumes that some characters are part of a regular expression and these characters must be escaped with `n' to be searche. for literally; these characters include (, ), *, ., ^, $. Other regular expression patterns are interpreted literally by default and must be escaped to.
Chapter 1 MLE and MAP 1.1 MLE De nition 1: (Likelihood function and MLE) Given ndata points x 1;x 2;:::;x n we can de ne the likelihood of the data given the model (usually a collection of parameters) as follows. P^(dataset j ) =
CMSC 451: Reductions & NP-completeness Slides By: Carl Kingsford Department of Computer Science University of Maryland, College Park Based on Section 8.1 of Algorithm Design by Kleinberg & Tardos.
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