We will be using a software tool that will enhance our understanding of the operation and function of the data structures and algorithms explored throughout the course by visually animating examples of data structures and algorithms so that we can understand their operation. We will aim to cover both state-of-art results, as well as the intellectual foundations for them, and have a substantive discussion on both the “big picture” and technical details of the papers. Visit our COVID-19 information website to learn how Warriors protect Warriors. The class is intended for first-year students and students transferring into the Harvard CS PhD program. These techniques will lay the foundation for future computational libraries and packages for both high-­‐performance computing and energy-­‐efficient devices. Our review process involves ranking applicants against one another in different areas of the department's research. In the process, we will cover the ideas and techniques used in the design of modern computer hardware and discuss major trade-offs involved in system design as well as future trends in computer architecture and how those trends might affect tomorrow’s computers. ", "In the age of information technology and innovation, University of the People is showing us the way", This course covers the basics of computer programming and provides a foundation for further learning in this area. Course Number: CS 3303 Prerequisites: CS 1103 Credits: 3, This course is primarily intended for students majoring in Computer Science. Emphasis on a quantitative evaluation of design alternatives and an understanding of timing issues. The course will also introduce algorithm design techniques. The models of computation considered include ones that are finite or infinite, deterministic, randomized, quantum or nondeterministic, discrete or algebraic, sequential or parallel. Tuesday, Thursday A quantitative theory of the resources needed for computing and the impediments to efficient computation. Students will use open source tools and libraries and apply them to data analysis, modeling, and visualization problems. Focusing on the basics of machine learning and embedded systems, such as smartphones, this course will introduce you to the “... Professional Certificate in Tiny Machine Learning (TinyML). In addition to the theoretical lectures, the course will involve a programming component aiming to get students to the point where they can both reproduce results from papers and work on their own research. Algorithm design methods, graph algorithms, approximation algorithms, and randomized algorithms are covered. 01:30pm to 02:45pm. TERM 1: CPSC 213, 221 and one of MATH {200, 223} or STAT 241 TERM 2: CPSC 320, plus four 3rd/4th year CPSC courses from at least three areas from the list above. Covers design practices, data and image models, visual perception, interaction principles, visualization tools, and applications. The ability to connect devices over long distances, via the internet, changed our world. First, we will witness the emergence of 5G wireless mobile networks, which have already begun to replace the current 4G networks. Students also learn how virtualization allows a physical machine to partition its resources across multiple virtual machines. 12:00pm to 01:15pm. 12:00pm to 01:15pm. ; Software abstractions and programming models: MapReduce (PageRank, etc. The curriculum for this course builds throughout the academic year. This is a project-based course emphasizing designing, building, testing, maintaining and modifying software for scientific computing. H. Kung "N" are for non-majors; students intending to major or minor in CS should not take these courses. Review of the fundamental structures in modern processor design. This course introduces fundamentals in designing and building modern information devices and systems that interface with the real world. Data Science 1 is the first half of a one-year introduction to data science. Are you graduating this academic year? Pavlos Protopapas, Kevin A. Rader, Christopher Tanner It is suited for students who are absolute beginners and as such no previous computer programming knowledge is required to finish this course.

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