Some of the most prestigious colleges and universities in the world, including Yale, the Massachusetts Institute of Technology, and UC … Find Free Online Computer Science Courses. Skip to Content. This talk is about the experience of providing privacy when running analytics on users’ personal data. Browse the latest online computer science courses from Harvard University, including "CS50's Introduction to Game Development" and "CS50's Web Programming with Python and JavaScript." The Strachey Lectures are generously supported by OxFORD Asset Management. Learn new knowledge and skills in a variety of ways, from engaging video lectures and dynamic graphics to data visualizations and interactive elements. Browse the latest online computer science courses from Harvard University, including "CS50's Introduction to Game Development" and "CS50's Web Programming with Python and JavaScript." Strachey Lecture - Doing for our robots what evolution did for us, Strachey Lecture - Steps Towards Super Intelligence, Strachey Lecture - Privacy-preserving analytics in, or out of, the cloud, Strachey Lecture - The Continuing Evolution of C++, Lovelace Lecture: Learning and Efficiency of Outcomes in Games, Strachey Lecture - Computer Agents that Interact Proficiently with People, Strachey Lecture - Probabilistic machine learning: foundations and frontiers, Oxford University Department of Computer Science: Second Year Group Design Practicals, Strachey Lecture - The Once and Future Turing, Medicine and Physiology in the Age of Dynamics: Newton Abraham Lecture 2020. edit: Also, if you go to the iTunes Store on click "iTunes U" on the left, you'll see iTunes U, which is a collection of free audio and video lectures that academic institutions post. This is a termly series of Distinguished Lectures named after Christopher Strachey, the first Professor of Computation at Oxford University.. Christopher Strachey was the first leader of the Programming Research Group (PRG), part of the Oxford University Computing Laboratory (OUCL), founded in 1965. Advance your career as a software developer and learn programming with free courses from the world’s top universities. Barbara J. and Jerome R. Cox, Jr., Professor of Computer Science and Engineering, Washington University in St. Louis: April 2010: Current Research: Artificial Intelligence, Blockchains, Cybersecurity. This is one of over 2,200 courses on OCW. Strachey Lecture - The Windmills of Your Mind: Reflections of a Career in Computer Science Research Dame Wendy Hall reflects on her career in computer science research - from intelligent tutoring systems, through multimedia and open hypermedia, to the semantic web, web science, and social machines. The lectures are available to anybody, completely free of charge. Computer Science and Engineering This is a collection of audio/video courses and lectures in computer science and engineering from educational institutions around the world. Screen Reader Access. This series is host to episodes created by the Department of Computer Science, University of Oxford, one of the longest-established Computer Science departments in the country. 10 Best + Free Computer Science Courses, Certification, Training, Classes and Bootcamp Online [DECEMBER 2020] [UPDATED] 1. It aims to provide students with an understanding of the role computation can play in solving problems. 1-30 of 2144 courses Filter. Jonathan Shaw, Liberal Arts— Coventry University. Demo Videos. The Multi-scale brain from École Polytechnique Fédérale de Lausanne. Free textbooks (aka open textbooks) written by knowledgable scholars are a relatively new phenomenon. Dr Scott Aaronson (MIT, UT Austin) gives the 2016 Strachey lecture. Today, close to 1,000 schools around the world have created thousands of free online courses. This page lists OCW courses and supplemental resources that contain video and/or audio lectures. The study of information, protocols and algorithms for idealized and real automata. Computer Science Lectures (Courses include higher computing (intro to theory of computation), intro to computer science, data structures, compiler optimization, computers and internet, intro to clojure, the akamai story, cryptography, EECS colloquium videos at Case Western Reserve University) Computer Science Courses Open Culture has a large listing of free Computer Science courses online. MIT OpenCourseWare is a free & open publication of material from thousands of MIT courses, … Free audio lectures are a great way to get an education on the go. The lectures are available to anybody, completely free of charge. Global Arctic from École Polytechnique Fédérale de Lausanne. This website uses cookies for Google Analytics tracking - please see our Privacy Policy, About | Accessibility | Contribute | Copyright | Contact us | Privacy, 'Oxford Podcasts' Twitter account @oxfordpodcasts, MediaPub Publishing Portal for Oxford Podcast Contributors. Paul Summers, Engineering & Computer Science— Birmingham City University. Free Online Courses with video lessons from best universities of the World. I understand this a long list and might be daunting for learners new to programming. This is part1 of second lecture from the series of course "Introduction to Computer Science I", Harvard OpenCourseWare with Instructor David J. Malan. 6.0001 - Introduction to Computer Science and Programming in Python, 6.0002 - Introduction to Computational Thinking and Data Science, 6.00SC - Introduction to Computer Science and Programming, 6.00 - Introduction to Computer Science and Programming, 6.001 - Structure and Interpretation of Computer, 6.01SC - Introduction to Electrical Engineering & Computer Science I, 6.02 - Introduction to EECS II: Digital Communication Systems, 6.006 - Introduction to Algorithms (Fall 2011), 6.033 - Computer System Engineering (SMA 5501), 6.035 - Computer Language Engineering (SMA 5502), 6.041 - Probabilistic Systems Analysis and Applied Probability, 6.042J - Mathematics for Computer Science (Fall 2010), 6.046J - Introduction to Algorithms (Fall 2005) (SMA 5503), 6.046J - Design and Analysis of Algorithms (Spring 2015), 6.172 - Performance Engineering of Software Systems, MAS.S62 Cryptocurrency Engineering and Design, CS 61A - The Structure and Interpretation of Computer Programs, CS 61B - Data Structures and Advanced Programming, CS 70 - Discrete Mathematics and Probability Theory (Spring 2015), CS 70 - Discrete Mathematics and Probability Theory (Fall 2012), CS 162 - Operating Systems and System Programming, CS 164 - Programming Languages and Compilers (Spring 2012), CS 170 - Efficient Algorithms and Intractable Problems, CS 184 - Fundamentals of Computer Graphics, CS 186 - Introduction to Database Systems, CS 188 - Introduction to Artificial Intelligence (Spring 2015), CS 188 - Introduction to Artificial Intelligence (Fall 2011), CS 194 - Advanced Operating Systems Structures and Implementation, CS 195 - Social Implications of Computing, CS C149 - Introduction to Embedded Systems, CS 267 - Applications of Parallel Computers (Spring 2015), CS 267 - Applications of Parallel Computers (Spring 2017), CS 294 - Deep Reinforcement Learning (Spring 2017), CS547 - Human-Computer Interaction Seminar, Bits: The Computer Science of Digital Information, CS 50: Introduction to Computer Science I, CS E-1: Understanding Computers and the Internet, CS E-259: XML with Java, Java Servlet, and JSP, CPSC 340 - Machine Learning and Data Mining (2012, UBC), Machine Learning (2015, University of Oxford), CPSC 322 - Introduction to Artificial Intelligence (2013, UBC), CS 156 - Machine Learning Course (Spring 2012), ECS 124 - Fundamental Algorithms in Bioinformatics, ECS 275A - Ray Tracing for Global Illumination, Digital Circuits and Systems (Prof. S. Srinivasan, IIT Madras), Digital Circuits and Systems (Prof. Shankar Balachandran, IIT Madras), Computer Architecture (Prof. Anshul Kumar, IIT Delhi), Computer Architecture (Prof. Mainak Chaudhuri, IIT Kanpur), Computer Architecture (Prof. Smruti R.Sarangi, IIT Delhi), Computer Architecture (Prof.Madhu Mutyam, IIT Madras), Multi-core Computer Architecture: Storage and Interconnects, Introduction to Industry 4.0 and Industrial Internet of Things, Performance Evaluation of Computer Systems, Introduction to Human Computer Interaction, Introduction to Modern Application Development, Design and Pedagogy of the Introductory Programming Course, Programming Methodology and Data Structures, Programming and Data Structure (Dr. N S. Narayanaswamy, IIT Madras), Programming, Data Structures and Algorithms in Python, Programming, Data Structures and Algorithms, An Introduction to Algorithms and Analysis, Fundamental Algorithms: Design and Analysis, Design and Analysis of Algorithms (IIT Bombay), Design and Analysis of Algorithms (Chennai Mathematical Institute), Artificial Intelligence (Prof. P. Dasgupta, IIT Kharagpur), Artificial Intelligence (Prof. Anupam Basu, IIT Kharagpur), Artificial Intelligence (Prof. Deepak Khemani, IIT Madras), Artificial Intelligence: Knowledge Representation and Reasoning, Introduction to Machine Learning (Prof. S. Sarkar, IIT Kharagpur), Introduction to Machine Learning (Dr. Balaraman Ravindran, IIT Madras), Pattern Recognition (Prof. Sukhendu Das, IIT Madras), Pattern Recognition (Prof. P.S. Be ready for employment immediately after graduation privacy when running analytics on users ’ personal data Ghahramani a... 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