View CSE 332S - Syllabus.pdf from CSE 332S at Washington University in St Louis. E81CSE532S Advanced Multiparadigm Software Development. Students work in groups and with a large game software engine to create and playtest a full-featured video game. In latter decades it has developed to a vast topic encompassing most aspects of handling large datasets. for COVID-19, Spring 2020. Students are encouraged to apply to this program by October 1 of the first semester of their senior year, and a minimum GPA of 3.0 is required of all applicants. We will cover both classic and recent results in parallel computing. Students will use and write software to illustrate mastery of the material. 1 contributor. Topics include cloud-based security and storage, Linux, Docker and Kubernetes, data modeling through JSON and SQL, database concepts and storage architectures, distributed systems, and finally real-world applications. The topics covered include the review of greedy algorithms, dynamic programming, NP-completeness, approximation algorithms, the use of linear and convex programming for approximation, and online algorithms. This course is an introduction to modern cryptography, with an emphasis on its theoretical foundations. GitHub Gist: instantly share code, notes, and snippets. E81CSE100A Computer Science Department Seminar. A co-op experience can give students another perspective on their education and may lead to full-time employment. Students will gain an understanding of concepts and approaches of data acquisition and governance including data shaping, information extraction, information integration, data reduction and compression, data transformation as well as data cleaning. This course does not teach programming in Python. Go back. In this course we study fundamental technologies behind Internet-of-Things devices, and Appcessories, which include smart watches, health monitors, toys, and appliances. Research: Participating in undergraduate research is a great way to learn more about a specific area. Topics of deformable image registration, numerical analysis, probabilistic modeling, data dimensionality reduction, and convolutional neural networks for image segmentation will be covered. Prerequisite: CSE 347. Prerequisite: CSE247. Prerequisite: permission of advisor and submission of a research proposal form. CS+Econ:This applied science major allows students interested in both economics and computer science to combine these two complementary disciplines efficiently. Prerequisites: CSE 361S and CSE 260M. E81CSE438S Mobile Application Development. Its goal is to overcome the limitations of traditional photography using computational techniques to enhance the way we capture, manipulate and interact with visual media. Tools covered include version control, the command line, debuggers, compilers, unit testing, IDEs, bug trackers, and more. The course emphasizes familiarity and proficiency with a wide range of C++ language features through hands-on practice completing studio exercises and lab assignments, supplemented with readings and summary presentations for each session. Students intending to take CSE 497-498 must submit a project proposal form (PDF) for approval by the department during the spring semester of the junior year. Prerequisites: CSE 131, CSE 247, and CSE 330. We will primarily use Piazza for communication in the class. . In 1010, Rivallon, Baron of Vitr ceded the territory of Acign to his son Renaud. Please visit the following pages for information about computer science and engineering majors: Please visit the following pages for information about computer science and engineering minors: Visit online course listings to view semester offerings for E81 CSE. Prerequisite: CSE 131. Expert Help. Prerequisite: CSE 131. Highly recommended for majors and for any student seeking a broader view of computer science or computer engineering. Github. The course will end with a multi-week, open-ended final project. CSE 332 Lab 4: Multiple Card Games Due by Sunday April 26 at 11:59 pm Final grade percentage: 18 percent Objective: This lab is intended to combine and extend your use of C++ language features from the previous labs, and to give you more experience programming with the C++ STL. The PDF will include all information unique to this page. Introduces students to the different areas of research conducted in the department. E81CSE433S Introduction to Computer Security. Sequence analysis topics include introduction to probability, probabilistic inference in missing data problems, hidden Markov models (HMMs), profile HMMs, sequence alignment, and identification of transcription-factor binding sites. Prerequisites. This course covers the latest advances in networking. The material for this course varies among offerings, but this course generally covers advanced or specialized topics in computer science theory. Provided that the 144-unit requirement is satisfied, up to 6 units of course work acceptable for the master's degree can be counted toward both the bachelor's and master's requirements. Topics include compilation and linking, memory management, pointers and references, using code libraries, testing and debugging. The unique requirements for engineering design databases, image databases, and long transaction systems are analyzed. Advanced topics in switching theory as employed in the synthesis, analysis and design of information processing systems. This course assumes no prior experience with programming. CSE 332: Data Structures and Parallelism Covers abstract data types and structures including dictionaries, balanced trees, hash tables, priority queues, and graphs; sorting; asymptotic analysis; fundamental graph algorithms including graph search, shortest path, and minimum spanning trees; concurrency and synchronization; and parallelism. This course presents background in power and oppression to help predict how new technological and societal systems might interact and when they might confront or reinforce existing power systems. lpu-cse/Subjects/CSE332 - INDUSTRY ETHICS AND LEGAL ISSUES/unit 3.ppt. Garbage collection, memory management. Skip to content Toggle navigation. Recursion, iteration and simple data structures are covered. This course is a survey of algorithms and mathematical methods in biological sequence analysis (with a strong emphasis on probabilistic methods) and systems biology. To understand why, we will explore the role that design choices play in the security characteristics of modern computer and network systems. Prerequisites: CSE 361S and 362M from Washington University in St. Louis or permission of the instructor. Topics covered will include various C++ language features and semantics, especially from the C++11 standard onward, with studio exercises and lab assignments designed to build proficiency in using them effectively within and across the different programming paradigms. This course requires completion of the iOS version of CSE 438 Mobile Application Development or the appropriate background knowledge of the iOS platform. The goal of the course is to design a microprocessor in 0.5 micron technology that will be fabricated by a semiconductor foundry. Topics may include: cameras and image formation, human visual perception, image processing (filtering, pyramids), image blending and compositing, image retargeting, texture synthesis and transfer, image completion/inpainting, super-resolution, deblurring, denoising, image-based lighting and rendering, high dynamic range, depth and defocus, flash/no flash photography, coded aperture photography, single/multiview reconstruction, photo quality assessment, non photorealistic rendering, modeling and synthesis using internet data, and others. Professionals from the local and extended Washington University community will mentor the students in this seminar. CSE332: Data Structures and Parallelism. Our department works closely with students to identify courses suitable for computer science credit. Then select Git project from the list: Next, select "Clone URI": Paste the link that you copied from GitHub . Prerequisite: CSE 457A or permission of instructor. The course material focuses on bottom-up design of digital integrated circuits, starting from CMOS transistors, CMOS inverters, combinational circuits and sequential logic designs. This course covers a variety of topics in the development of modern mobile applications, with a focus on hands-on projects. Topics will include the use of machine learning in adversarial settings, such as security, common attacks on machine learning models and algorithms, foundations of game theoretic modeling and analysis in security, with a special focus on algorithmic approaches, and foundations of adversarial social choice, with a focus on vulnerability analysis of elections. How do processors "think"? Students complete an independent research project which will involve synthesizing multiple security techniques and applying them to an actual IoT, real-time, or embedded system or device. Computer-based visualization systems provide the opportunity to represent large or complex data visually to aid comprehension and cognition. Board game; Washington University in St. Louis CSE 332. lab2-2.pdf. The process for requesting a fee waiver from the UW Graduate School is available on their application page. Students should apply to this joint program by February 1 of their junior year. cse git Uw [IY0GN1] From your CSE Linux environment (attu or VM), execute the following git commands: $ git clone Clones your repo -- find the URL by clicking the blue "Clone" button in the upper-right of your project's details page. S. Use Git or checkout with SVN using the web URL. Welcome to Virtual Lists. Prerequisites: CSE 450A and permission of instructor. Google Scholar | Github. They also participate in active-learning sessions where they work with professors and their peers to solve problems collaboratively. Computational Photography describes the convergence of computer graphics, computer vision, and the internet with photography. A form declaring the agreement must be filed in the departmental office. For information about scholarship amounts, please visit the Bachelor's/Master's Program in Engineering webpage. The breadth of computer science and engineering may be best understood in terms of the general areas of applications, software systems, hardware and theory. Prerequisites: CSE 332 (or proficiency in programming in C++ or Java or Python) and CSE 247. Credit 3 units. The areas was evangelized by Martin of Tours or his disciples in the 4th century. All rights reserved The course examines hardware, software, and system-level design. The main focus might change from semester to semester. Greater St. Louis Area. E81CSE231S Introduction to Parallel and Concurrent Programming. This page attempts to answer the question, by listing specific topics that are worth reviewing and making sure you are familiar with them. This course provides an overview of the tools necessary to harness big data on the cloud for real-world analytic applications. Topics include: processor architecture, instruction set architecture, Assembly Language, memory hierarchy design, I/O considerations, and a comparison of computer architectures. Prerequisite: CSE 131. A knowledge of theory helps students choose among competing design alternatives on the basis of their relative efficiency and helps them to verify that their implementations are correct. Prerequisites: CSE 247, CSE 417T, ESE 326, Math 233 and Math 309. Each academic program can be tailored to a student's individual needs. For more information, contact the department office by email at admissions@cse.wustl.edu or by phone at 314-935-6132. Important design aspects of digital integrated circuits such as propagation delay, noise margins and power dissipation are covered in the class, and design challenges in sub-micron technology are addressed. To help students balance their elective courses, most upper-level departmental courses are classified into one of the following categories: S for software systems, M for machines (hardware), T for theory, or A for applications. The course emphasizes understanding the performance implications of design choices, using architecture modeling and evaluation using simulation techniques. Mathematical foundations for Artificial Intelligence and Machine Learning. Mathematical abstractions of quantum gates are studied with the goal of developing the skills needed to reason about existing quantum circuits and to develop new quantum circuits as required to solve problems. We begin by studying graph theory, allowing us to quantify the structure and interactions of social and other networks. Students will be required to program in Python or MATLAB. We also learn how to critique existing work and how to formulate and explore sound research questions. Course web site for CSE 142, an introduction to programming in Java at the University of Washington. Prerequisites: CSE 131, CSE 217A; Corequisite: CSE 247. There is no specific programming language requirement, but some experience with programming is needed. Create a new C++ Console Application within your repository, make sure to name it something descriptive such as Lab3 . Go to file. Subjects include digital and analog input/output, sensing the physical world, information representation, basic computer architecture and machine language, time-critical computation, machine-to-machine communication and protocol design. Java, an object-oriented programming language, is the vehicle of exploration. The course emphasizes object-oriented design patterns and real-world development techniques. Computational geometry is the algorithmic study of problems that involve geometric shapes such as points, lines, and polygons. This course does not require a biology background. Undergraduate financial support is not extended for the additional semesters to complete the master's degree requirements; however, scholarship support based on the student's cumulative grade-point average, calculated at the end of the junior year, will be awarded automatically during the student's final year of study. The discipline of artificial intelligence (AI) is concerned with building systems that think and act like humans or rationally on some absolute scale. Also covered are algorithms for polygon triangulation, path planning, and the art gallery problem. Embedded sensor networks and pervasive computing are among the most exciting research areas with many open research questions. Accepting a new assignment. Prerequisite: CSE417T, E81CSE556A Human-Computer Interaction Methods. A study of data models and the database management systems that support these data models. The goal of the course is to design a microprocessor in 0.5 micron technology that will be fabricated by a semiconductor foundry. CSE 260 or something that makes you think a little bit about hardware may also help. Prerequisite: CSE 247; CSE 132 is suggested but not required. Topics will include one-way functions, pseudorandom generators, public key encryption, digital signatures, and zero-knowledge proofs. If you have not taken either of these courses yet you should take at least one of them before taking CSE 332, especially since we will assume you have at least 2 or 3 previous semesters of programming proficiency before enrolling in this course. Integrity and security requirements are studied in the context of concurrent operations on a database, where the database may be distributed over one or more locations. Students will create multiple fully-functional apps from scratch. This course examines the intersection of computer science, economics, sociology, and applied mathematics. Students electing the thesis option for their master's degree perform their thesis research under this course. You signed in with another tab or window. The design theory for databases is developed and various tools are utilized to apply the theory. Create a new C++ Console Application within your repository, make sure to name it something descriptive such as Lab3 . Coding/information theory emerged in mid 20th century as a mathematical theory of communication with noise. Study of fundamental algorithms, data structures, and their effective use in a variety of applications. If students plan to apply to this program, it is recommended that they complete at least an undergraduate minor in computer science, three additional computer science courses at the 400 level, and one additional course at the 500 level during their first four years. We offer a Bachelor of Science in Computer Science (BSCS), a Bachelor of Science in Computer Engineering (BSCoE),a Bachelor of Science in Business and Computer Science (CS+Business), a Bachelor of Science in Computer Science + Mathematics (CS+Math), a Bachelor of Science in Computer Science + Economics (CS+Econ), and a Second Major in Computer Science. Software issues include languages, run-time environments, and program analysis. E81CSE217A Introduction to Data Science. Introduction to computer graphics. Here are links to explanatory guides on course material: Generated at 2023-03-01 22:03:58 +0000. These will include inference techniques (e.g., exact, MAP, sampling methods, the Laplace approximation), Bayesian decision theory, Bayesian model comparison, Bayesian nonparametrics, and Bayesian optimization. Washington University in St Louis. Applications are the ways in which computer technology is applied to solve problems, often in other disciplines. Board game; Washington University in St. Louis CSE 332. lab2-2.pdf. The course material aims to enable students to become more effective programmers, especially when dealing with issues of performance, portability and robustness. Highly recommended for majors and for any student seeking a broader view of computer science or computer engineering. This course combines concepts from computer science and applied mathematics to study networked systems using data mining. Throughout the course, students present their findings in their group and to the class. Unconstrained optimization techniques including Gradient methods, Newton's methods, Quasi-Newton methods, and conjugate methods will be introduced. Projects will include identifying security vulnerabilities, exploiting vulnerabilities, and detecting and defending against exploits. Roch Gurin Harold B. and Adelaide G. Welge Professor of Computer Science PhD, California Institute of Technology Computer networks and communication systems, Sanjoy Baruah PhD, University of Texas at Austin Real-time and safety-critical system design, cyber-physical systems, scheduling theory, resource allocation and sharing in distributed computing environments, Aaron Bobick James M. McKelvey Professor and Dean PhD, Massachusetts Institute of Technology Computer vision, graphics, human-robot collaboration, Michael R. Brent Henry Edwin Sever Professor of Engineering PhD, Massachusetts Institute of Technology Systems biology, computational and experimental genomics, mathematical modeling, algorithms for computational biology, bioinformatics, Jeremy Buhler PhD, Washington University Computational biology, genomics, algorithms for comparing and annotating large biosequences, Roger D. Chamberlain DSc, Washington University Computer engineering, parallel computation, computer architecture, multiprocessor systems, Yixin Chen PhD, University of Illinois at Urbana-Champaign Mathematical optimization, artificial intelligence, planning and scheduling, data mining, learning data warehousing, operations research, data security, Patrick Crowley PhD, University of Washington Computer and network systems, network security, Ron K. Cytron PhD, University of Illinois at Urbana-Champaign Programming languages, middleware, real-time systems, Christopher D. Gill DSc, Washington University Parallel and distributed real-time embedded systems, cyber-physicalsystems, concurrency platforms and middleware, formal models andanalysis of concurrency and timing, Raj Jain Barbara J. In this course, students will work in groups to design, develop, test, publish, and market an iOS mobile application. Prerequisite: CSE 247. E81CSE563M Digital Integrated Circuit Design and Architecture, This is a project-oriented course on digital VLSI design. Many undergraduates work in research labs with state-of-the-art equipment that provides them the opportunity to take part in computer science and computer engineering research. Students will work in groups and with a large game software engine to make a full-featured video game. Issues relating to real-time control systems, human factors, reliability, performance, operating costs, maintainability and others are addressed and resolved in a reasonable manner. master ex01-public Find file Clone README No license. Problems pursued under this framework may be predominantly analytical, involving the exploration and extension of theoretical structures, or they may pivot around the design/development of solutions for particular applications drawn from areas throughout the University and/or the community. The projects cover the principal system development life-cycle phases from requirements analysis, to software design, and to final implementation. This course offers an introduction to the tools and techniques that allow programmers to write code effectively. Interested students are encouraged to approach and engage faculty to develop a topic of interest. Topics include history, protocols, Hyper Text Transfer Protocol (HTTP), File Transfer Protocol (FTP), Simple Mail Transfer Protocol (SMTP), Domain Name System (DNS), peer-to-peer (P2P), transport layer design issues, transport layer protocols, Transmission Control Protocol (TCP), User Datagram Protocol (UDP), TCP congestion control, network layer, Internet Protocol version 4 (IPv4), Internet Control Message Protocol (ICMP), Internet Protocol version 6 (IPv6), routing algorithms, routing protocols, Open Shortest Path First (OSPF), Routing Information Protocol (RIP), Border Gateway Protocol (BGP), datalink layer and local area networks carrier sense multiple access with collision detection (CSMA/CD), Ethernet, virtual local area networks (VLANs), Point-to-Point Protocol (PPP), Multi-Protocol Label Switching, wireless and mobile networks, multimedia networking, security in computer networks, cryptography, and network management. CSE 142: Computer Programming I Basic programming-in-the-small abilities and concepts including procedural programming (methods, parameters, return, values), basic control structures (sequence, if/else, for loop, while loop), file processing, arrays, and an introduction to defining objects. 35001 /35690. Students complete an independent research project which will involve synthesizing multiple software security techniques and applying them to an actual software program or system. This course will introduce students to concepts, theoretical foundations, and applications of adversarial reasoning in Artificial Intelligence. Such problems appear in computer graphics, vision, robotics, animation, visualization, molecular biology, and geographic information systems. The focus will be on design and analysis. Topics include how to publish a mobile application on an app store, APIs and tools for testing and debugging, and popular cloud-based SDKs used by developers. Programming exercises concretize the key methods. Other CSE courses provide credit toward graduation but not toward the CSE elective requirements for the second major or the BSCS, BSCoE, CS+Math or CS+Business degrees. System-level topics include real-time operating systems, scheduling, power management, and wireless sensor networks. Students have the opportunity to explore additional topics including graphics, artificial intelligence, networking, physics, and user interface design through their game project. This course explores concepts, techniques, and design approaches for parallel and concurrent programming.
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