Master's Programs - CMU School of Computer Science
WEBThe 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).
CMU School of Computer Science
WEBLearn 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.
Undergraduate Programs - CMU School of Computer Science
WEBUndergraduate 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 ...
WEBThe 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.
Doctoral Programs - CMU School of Computer Science
WEBDoctoral Programs. In the School of Computer Science, we believe that Ph.D. students thrive in a flexible environment that considers their background and experience, separates funding from advising, and encourages interdisciplinary exploration. In any of the Ph.D. programs across our seven departments, you'll be matched with an advisor based ...
WEBKalman 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.
Machine Learning textbook slides - CMU School of Computer …
WEBSlides for instructors: The following slides are made available for instructors teaching from the textbook Machine Learning, Tom Mitchell, McGraw-Hill. Slides are available in both postscript, and in latex source. If you take the latex, be sure to also take the accomanying style files, postscript figures, etc. Ch 1.
WEBLoad Factor (open addressing) definition: The load factor λλλλ of a probing hash table is the fraction of the table that is full. The load factor ranges from 0
WEBPreface. This is the class notes I took for CMU’s10701: Introduction to Machine Learningin Fall 2018. The goal of this document is to serve as a quick review of key points from each topic covered in the course. A more comprehensive note collection for beginners is available atUPenn’s CIS520: Machine Learning.
Frequently Asked Questions - CMU School of Computer Science
WEBFrequently 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 …