1/21/2021 Syllabus for SP2021.E81.CSE.332S.01 - Object-Oriented Software Development Laboratory Course Syllabus CSE. This course provides an overview of the tools necessary to harness big data on the cloud for real-world analytic applications. Students acquire the skills to build a Linux web server in Apache, to write a website from scratch in PHP, to run an SQL database, to perform scripting in Python, to employ various web frameworks, and to develop modern web applications in client-side and server-side JavaScript. Contributions and results from this investigation are synthesized and compiled into a publication-quality research paper presenting the new idea. Product Actions. Page written by Roger D. Chamberlain and James Orr. Students also viewed. A comprehensive course on performance analysis techniques. Students will work in groups and with a large game software engine to make a full-featured video game. Prerequisites: CSE 260M. This course explores elementary principles for designing, creating, and publishing effective websites and web application front-ends. General query languages are studied and techniques for query optimization are investigated. Courses in this area help students gain a solid understanding of how software systems are designed and implemented. This course covers software systems and network technologies for real-time applications such as automobiles, avionics, industrial automation, and the Internet of Things. Professor of Computer Science, Second Major in Computer Science + Mathematics, Combined Undergraduate and Graduate Study, Bachelor's/Master's Program in Engineering webpage, https://cse.wustl.edu/academics/undergraduate/index.html, Bachelor of Science in Computer Engineering, Bachelor of Science in Computer Science + Economics, Bachelor of Science in Computer Science + Mathematics, Bachelor of Science in Business and Computer Science. 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. Lecture and discussion are supplemented by exercises in the different research areas and in critical reading, idea generation, and proposal writing. The course begins with material from physics that demonstrates the presence of quantum effects. Emphasizes importance of data structure choice and implementation for obtaining the most efficient algorithm for solving a given problem. This course does not teach programming in Python. Several single-period laboratory exercises, several design projects, and application of microprocessors in digital design. 6. E81CSE434S Reverse Engineering and Malware Analysis. We will discuss methods for linear regression, classification, and clustering and apply them to perform sentiment analysis, implement a recommendation system, and perform image classification or gesture recognition. E81CSE247R Seminar: Data Structures and Algorithms. Prerequisite: CSE 347. Students will learn about hardcore imaging techniques and gain the mathematical fundamentals needed to build their own models for effective problem solving. Parallel programming concepts include task-level, functional, and loop-level parallelism. Online textbook purchase required. The course uses science-fiction short stories, TV episodes, and movies to motivate and introduce fundamental principles and techniques in intelligent agent systems. Prerequisites: CSE 351; CSE 332; CSE 333 Credits: 4.0 ABET Outcomes: This course contributes to the following ABET outcomes: (1) an ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics Emphasis is given to aspects of design that are distinct to embedded systems. Mathematical maturity and general familiarity with machine learning are required. Please make sure to have a school email added to your github account before signing in! Although hackers often use reverse engineering tools to discover and exploit vulnerabilities, security analysts and researchers must use reverse engineering techniques to find what a specific malware does, how it does it, and how it got into the system. This course will be taught using Zoom and will be recorded. Topics include scan-conversion, basic image processing, transformations, scene graphs, camera projections, local and global rendering, fractals, and parametric curves and surfaces. Prerequisite: CSE 361S. Our department works closely with students to identify courses suitable for computer science credit. Thereafter, researchers on campus present their work in the context of data science, challenging students to explore data in the domain of their research areas. This course is an introduction to the field, with special emphasis on sound modern methods. Special topics may include large-scale systems, parallel optimization, and convex optimization. Software systems are collections of interacting software components that work together to support the needs of computer applications. Prerequisite: CSE 361S. Students will perform a course project on a real wireless sensor network testbed. (Note: We will parse data and analyze networks using Python. The material for this course varies among offerings, but this course generally covers advanced or specialized topics in computer science machines. BSCoE: The computer engineering major encompasses studies of hardware, software and systems issues that arise in the design, development and application of computer systems. The course covers Markov chains and their applications to simple queues, and it proceeds to explore more complex systems, including server farms and how to optimize their performance through scheduling and task assignment policies. EN: BME T, TU. Prerequisite: CSE 361S. (1) an ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics (2) an ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, , and economic factors Catalog Description: 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 . 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. Any student can take the CSE 131 proficiency exam, and a suitable score will waive CSE 131 as a requirement. Throughout the course, students present their findings in their group and to the class. Topics include: inter-process communication, real-time systems, memory forensics, file-system forensics, timing forensics, process and thread forensics, hypervisor forensics, and managing internal or external causes of anomalous behavior. In the Spring of 2020, all Washington University in St. Louis students were sent home. Throughout the course, we will discuss the efficacy of these methods in concrete data science problems, under appropriate statistical models. During the French Revolution, the village sided with its clergy and was punished by being sacked by a troupe of national guard in 1792.[3]. In order to successfully complete a master's thesis, students must enroll in 6 units of this course typically over the course of two consecutive semesters, produce a written thesis, and defend the thesis before a three-person committee. This course surveys algorithms for comparing and organizing discrete sequential data, especially nucleic acid and protein sequences. However, the more information we can access, the more difficult it is to obtain a holistic view of the data or to determine what's important to make decisions. TA office hours are documented here. Real world examples will be used to illustrate the rationales behind various security designs. In this course we study fundamental technologies behind Internet-of-Things devices, and Appcessories, which include smart watches, health monitors, toys, and appliances. Background readings will be available.Same as E35 ESE 359, E81CSE361S Introduction to Systems Software. Bayesian probability allows us to model and reason about all types of uncertainty. Boolean algebra and logic minimization techniques; sources of delay in combinational circuits and effect on circuit performance; survey of common combinational circuit components; sequential circuit design and analysis; timing analysis of sequential circuits; use of computer-aided design tools for digital logic design (schematic capture, hardware description languages, simulation); design of simple processors and memory subsystems; program execution in simple processors; basic techniques for enhancing processor performance; configurable logic devices. Registration and attendance for 347R is mandatory for students enrolled in 347. Credit earned for CSE 400E can be counted toward a student's major or minor program, with the consent of the student's advisor. Introduces processes and algorithms, procedural abstraction, data abstraction, encapsulation, and object-oriented programming. Prerequisite: E81 CSE 330S or E81 CSE 332S and at least junior standing, E81CSE457A Introduction to Visualization. E81CSE433S Introduction to Computer Security. This course provides a collaborative studio space for hands-on practice solving security-relevant puzzles in "Capture The Flag" (CTF) format. Students complete an independent research project which will involve synthesizing multiple software security techniques and applying them to an actual software program or system. The material for this course varies among offerings, but this course generally covers advanced or specialized topics in computer science theory. Computer Science & Engineering - Washington University in St. Louis A variety of parsing methods is covered, including top-down and bottom-up. Prerequisite: CSE 131. This organization has no public members. Concepts and skills are mastered through programming projects, many of which employ graphics to enhance conceptual understanding. Prerequisites: CSE 247 and either CSE 361 or CSE 332. In order to successfully complete this course, students must defend their project before a three-person committee and present a 2-3 page extended abstract. Create a new C++ Console Application within your repository, make sure to name it something descriptive such as Lab3. The course also places a heavy emphasis on code quality: how can we write code that is functional and that also meets quality standards? Prerequisites: CSE 240, CSE 247, and Math 310. This important step in the data science workflow ensures both quantity and quality of data and improves the effectiveness of the following steps of data processing. Login with Github. University of Washington CSE 599 - Biochemistry for Computer Scientists. Website: heming-zhang.github.io Email: hemingzhang@wustl.edu EDUCATION Washington University in St.Louis, St.Louis, MO August 2019 - Present McKelvey School of Engineering Master of Science, Computer Science Major GPA: 4.0/4.0 Central China Normal University, Wuhan, China September 2015 - June 2019 School of Information Management Bachelor . Prerequisites: CSE 131 and CSE 247, E81CSE341T Parallel and Sequential Algorithms. Projects will include identifying security vulnerabilities, exploiting vulnerabilities, and detecting and defending against exploits. Topics covered include concurrency and synchronization features and software architecture patterns. Students use both desktop systems and hand-held (Arduino-compatible) micro-controllers to design and implement solutions to problems. To run the executable program, enter the command line as follows separated by space: Game Name, Player 1's Name, Player 2's Name, More Players' Names (optional) Game name: FiveCardDraw, SevenCardStud, or TexasHoldEm. PPT lpu-cse/unit 3.ppt at master sauravhathi/lpu-cse GitHub Students will engage CTF challenges individually and in teams, and online CTF resources requiring (free) account signup may be used. All rights reserved Prerequisites: CSE 247, ESE 326, Math 233, and Math 309 (can be taken concurrently). While we are awash in an abundance of data, making sense of data is not always straightforward. Prerequisite: CSE 131 or CSE 501N. Prerequisites: CSE 260M and ESE 232.Same as E81 CSE 463M, E81CSE566S High Performance Computer Systems. Catalog Description: 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. Professionals from the local and extended Washington University community will mentor the students in this seminar. Introduction to modern design practices, including FPGA and PCB design methodologies. Elevation. This graduate-level course rigorously introduces optimization methods that are suitable for large-scale problems arising in these areas. Each academic program can be tailored to a student's individual needs. Topics include memory hierarchy, cache coherence protocol, memory models, scheduling, high-level parallel language models, concurrent programming (synchronization and concurrent data structures), algorithms for debugging parallel software, and performance analysis. Washington University in St. Louis. Prerequisite: CSE247. Tour McKelvey Hall Discovery through research The course targets graduate students and advanced undergraduates. Head TAs this semester are Nina Tekkey and Michael Filippini. Computing plays an important role in virtually all fields, including science, medicine, music, art, business, law and human communication; hence, the study of computer science and engineering can be interdisciplinary in nature. This course is offered in an active-learning setting in which students work in small teams. A form declaring the agreement must be filed in the departmental office. For more information, contact the department office by email at admissions@cse.wustl.edu or by phone at 314-935-6132. CSE 332 Lab 4 Multiple Card Games - CSE 332 Lab 4: Multiple - StuDocu