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.
15-112: Fundamentals of Programming - CMU School of …
WEBA 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 ...
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).
WEBChapter 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 ) =
15-213/15-513 Introduction to Computer Systems - CMU School …
WEBHome. 15-213/15-513 Introduction to Computer Systems (ICS) Spring 2024. 15-213 Pittsburgh: Tue, Thu 02:00 PM–03:20 PM, GHC 4401, David Andersen and Nathan Beckmann. 12 units. The ICS course provides a programmer's view of how computer systems execute programs, store information, and communicate. It enables students to become more effective ...
WEBAcknowledgment These lecture notes are largely based on scribe notes of the students who took CMU’s “In-troduction to Cryptography” by Professor Vipul Goyal in 2018 and 2019.
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.
15-410, Operating System Design and Implementation
WEBJul 30, 2024 · Welcome to the Fall 2024 edition of 15-410/605. FAQ Preparatory coursework The best preparation for this class is taking 15-213/513 (18-213, 18-613, 14-513) followed by one of the 15-4xx/6xx "Systems electives": 15-411/611, 15-418/618, 15-440/640, 15-441/641, 15-445/645.Those specific classes are believed to be better preparation than other classes that contain some Systems content and/or have ...
Jun-Yan Zhu's Homepage - CMU School of Computer Science
WEBJun-Yan Zhu. I am an Assistant Professor with The Robotics Institute in the School of Computer Science of Carnegie Mellon University. I also hold affiliated faculty appointments in the Computer Science Department and Machine Learning Department. I study computer graphics, computer vision, and computational photography.
Murphy's laws - CMU School of Computer Science
WEBMurphy's general laws. Nothing is as easy as it looks. Everything takes longer than you think. Anything that can go wrong will go wrong. If there is a possibility of several things going wrong, the one that will cause the most damage will be the one to go wrong. Corollary: If there is a worse time for something to go wrong, it will happen then.