upenn cis courses fall 2019

CIS 400 is the beginning of a two-course "capstone" to your undergraduate Computer Science education in which you will have the opportunity to identify, plan, design, implement, and evaluate a computing-based solution to a real-world problem. Continuation of CIS 400. Each student will be responsible for presenting one primer and at least two SIGGRAPH papers to the class. Contact. Penn LPS COVID-19 Update LPS staff are not onsite, but we are still available Monday through Friday from 9 a.m. - 5 p.m. by phone and online in case you need support: (215) 898-7326 or [email protected]. Grades are based on technical writing skills (as per submitted report), oral presentation skills (as per class presentation) and progress on the project. Course Description: Purpose: The purpose of this course is to provide a mathematically rigorous foundation for probability theory, stochastic processes, and … Email: [email protected] Philippe Sawaya Office Hours: Email: [email protected] Yulai Weng Office Hours: Monday, Wednesday 3-6 pm Levine 4th Floor Bump Space Email: [email protected] Lingzhi Zhang Office Hours: Email: [email protected]. A sense of belonging can also affect students’ mental health and wellness, which is of utmost This course introduces students to common physically based simulation techniques for animation of fluids and gases, rigid and deformable solids, cloth, explosions, fire, smoke, virtual characters, and other systems. Perception involves the estimation of the robot’s motion and path as well as the shape of the environment from sensors. This event has passed. For full descriptions of any courses you see in these listings, visit the University Catalog. Kategori: Araçlar. The world is becoming image-centric. Fall 2019, University of Pennsylvania Instructor: Eric Eaton, Ph.D. How do you design a communication network? We will use Java for the entire course. How organisms exhibit flocking behavior? Graduate Course Information. Prerequisite(s): Undergraduate-level knowledge of Operating Systems and Networking, programming experience (CIT 594 or equivalent). and deploy components of a blockchain solution. ), you will not be able … NAIS Courses for Fall 2019. This course is appropriate as an upper-level undergraduate CIS elective. All members of the The goals of this course are twofold: (1) to take good programmers and turn them into excellent ones, and (2) to introduce them to a range of modern software engineering practices, in particular those embodied in advanced functional programming languages. It uses Matlab and is said to require a lot of work, but prepares students to … Undergraduate Courses: 100 Level | 200 Level | 300 Level | 400 Level | NETS Courses, Graduate Courses: 500 Level | 600 Level | 700-900 Level | MCIT Courses. of Student Disabilities Services (SDS), How to think like a security professional, errata for "Smashing the stack for fun and profit", Return-Oriented Programming: Systems, Languages, and Applications, Introduction to return-oriented programming, Design Patterns for Building Secure Systems, Everything you Never Wanted to Know about PKI but were Forced to Find Out, Secure Session Management With Cookies for Web Applications, Cross-Site request forgery prevention cheat sheet, Cross-site scripting prevention cheat sheet, Security problems in the TCP/IP protocol suite, A Study of Prefix Hijacking and Interception in the Internet, An Analysis of Private Browsing Modes in Modern The links (and the lecture notes) should appear in their final form roughly a week ahead of the corresponding lecture dates. Principles of modern object-oriented programming languages: abstraction, types, polymorphism, encapsulation, and inheritance. Background in computer graphics is required (CIS 277 or CIS 560). is an introductory-level course in machine learning (ML) with an emphasis on applying ML techniques. Course Title Instructors Room Time ; JWST 026-401 : JWST026 - JEWS AND CHINA: VIEWS FROM TWO PERSPECTIVES: HELLERSTEIN, KATHRYN. Grader's Office hours: Thursday 1:00-1:50pm in DRL 3N2B. (If you got at least 4 in the AP Computer Science A or AB exam, you will do great.) French 110 Elementary French I. Prerequisite: A previous course in machine perception or knowledge of image processing, experience with an operating system and language such as Unix and C, and aptitude for mathematics. WF 10:30-12. NGG 597-401. The hardware/systems requirement may be met by CIS 501; or CIT 593 and 595; or CIS 240 (with CIS 371 recommended); or equivalent coursework. Topics may vary depending on instructor. The challenge of the task undertaken must be consistent with the student’s academic level. Prerequisite: CIS 560 or permission of instructor. Crowdsourcing and human computation are emerging fields that sit squarely at the intersection of economics and computer science. Prerequisite(s): Proficient knowledge of C/C++. Writing a “program” is easy. Over the course of the semester, students work on group projects in which they use programming techniques to solve open-ended problems, e.g. CIS 990 carries full time status with zero course units, and may be taken only once. Time: Fall 2019, Tuesday & Thursday 3:00 … courses > undergraduate > 2019 fall Undergraduate Courses fall 2019. sort by. From World Wide Web to networks of banks and lenders that form the financial sector, to friendship networks that influence our opinion and everyday decision-making, networks have become an integral part of our daily lives. Section 201 (iOS) will be taught in Swift, and cover iOS fundamentals such as app lifecycles, storyboarding, delegation, networking and usage of both native and external libraries. The Great Firewall In this Section: Graduate Courses. Offered Fall 2019 and Spring 2020. Prerequisites: CIT 594 or CIS 350, or equivalent; proficiency in Java. (optional) Hash functions and Bitcoin by B. Barak. Fall 2019 Undergraduate Courses. Python has quickly become a popular language for getting things done efficiently in many in all domains: scripting, systems programming, research tools, and web development. This course develops students’ problem solving skills using techniques that they have learned during their CS training. that welcomes all students, regardless of their race, ethnicity, gender identity, sexuality, or The expressive power of these extensions will be studied in detail and will be connected to various problems in the theory of computational complexity. It also provides information about courses at all levels of study. There is no need to notify the course staff. The course is to study principles, methods, and techiques for building high-assurance cyber-physical systems. Want to understand how memes spread across the Internet? This course covers core subject matter common to the fields of robotics, character animation and embodied intelligent agents. Topics covered include: geometric coordinate systems and transformations; quaternions; parametric curves and surfaces; forward and inverse kinematics; dynamic systems and control; computer simulation; keyframe, motion capture and procedural animation; behavior-based animation and control; facial animation; smart characters and intelligent agents. For current listings of courses offered at Penn, and to register for classes after you have met with your advisor, log in to Penn InTouch.Please note that Penn InTouch is the only way to access course information that is verified as accurate by the … The intent of the course is to provide the student with a solid technical foundation for developing, animating and controlling articulated systems used in interactive computer games, virtual reality simulations and high-end animation applications. Some central topics include: denotational vs operational semantics, domain theory and category theory, the lambda calculus, type theory (including recursive types, generics, type inference, and modules), logics of programs and associated completeness and decidability problems, specification languages, and models of concurrency. How does Google find what you’re looking for… and exactly how do they make money doing so? T. Hoshi D. Coulter. Penn Summer offers current Penn students, alumni, high school students, and visiting students the opportunity to dive into exciting subjects and get ahead in academic pursuits—on campus, online, or abroad. You know how to program, but do you know how to implement a programming language? The great firewall of China, decoy routing, domain fronting. At the end of the first semester, students are required to submit an intermediate report and give a class presentation describing their project and progress. Arabic ARAB-580 Reading Historical Arabic Manuscripts (Ali-Dinar, W 3-6) Art History ARTH-232 Byzantine Art and Architecture (Boomer, TR 12-1:30) ARTH-261 Northern Renaissance Art (Brisman, TR 10:30-12) ARTH-343 Art, Politics, and Power in Late … An advanced undergraduate course such as BIOL 421 or a graduate course in biology such as BIOL 526 (Experimental Principles in Cell and Molecular Biology), BIOL 527 (Advanced Molecular Biology & Genetics), BIOL 528 (Advanced Molecular Genetics) BIOL 540 (Genetic Systems) or equivalent is a prerrequisite. The course is cross-listed between undergraduate (419) and graduate (519) versions; the graduate course 519 has somewhat different requirements as described below. Students will be expected to display knowledge of both theory and practice through written examinations and programming assignments. This course is cross-listed with Cinema and Media Studies 116. top. Advanced topics as time permits: Circuit complexity and parallel computation, randomized complexity, approximability, interaction and cryptography. This course surveys a wide range of answers to this question from disciplines ranging from philosophy to neuroscience. CIS 700: Integrated Intelligence for Robotics Fall 2019, University of Pennsylvania Instructor: Eric Eaton, Ph.D. Can you verify that a program has correctly computed a function without ever computing the function? Graduate seminar in advanced work on machine perception as it applies to robots as well as to the modeling of human perception. We introduce the basic concepts about complexity of an algorithm and methods on how to compute the running time of algorithms. PENN ENGINEERING©2017 |UNIVERSITY OF PENNSYLVANIA|SCHOOL OF ENGINEERING AND APPLIED SCIENCE | DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE Want to understand how search engines have revolutionized advertising? Lecture: TR 3:00-4:20pm in DRL 3W2. The intent of the course is to provide the student with a solid technical foundation for developing, animating and controlling articulated systems used in interactive computer games, virtual reality simulations and high-end animation applications. The course will be taught by Adam Mally, ... 2015, he has served as a lecturer at Penn, instructing undergraduate and graduate students in various computer graphics courses such as CIS 560: Interactive Computer Graphics and CIS … R 1-3. Reductions revisited, Cook-Levin Theorem, completeness, NL = co-NL. The students will be expected to use the Maple programming environment in homework exercises which will include: numerical and symbolic computations, simulations, and graphical displays. [email protected] To register for courses, visit Penn InTouch. Prerequisite(s): CIS 120 (CIS 121 co-requisite), CIS 160. Prerequisite: CIS 460 or CIS 560, and familiarity with computer hardware/systems. The course requires a degree of mathematical sophistication. We will also examine ideas that have been proposed for tomorrow’s Web, and we will see some of the challenges, research directions, and potential pitfalls. Throughout the semester, teams will learn and use the same world-class tools that are used to deploy and build real world web apps such as NodeJS, GitHub, MongoDB, MySQL, Heroku, React, Jest, Selenium, Redux, etc. The answer to all these questions is in the affirmative provided we allow the use of randomization. How can you be as successful as the best horse-racing expert at betting on horse races, without knowing anything about horse racing? An opportunity for the student to become closely associated with a professor (1) in a research effort to develop research skills and techniques and/or (2) to develop a program of independent in-depth study in a subject area in which the professor and student have a common interest. Prerequisite(s): Data Structures and Algorithms at the undergraduate level. NGG 713-301. The goal of this course is to provide an opportunity for seniors to define, design, and execute a project of your own choosing that demonstrates the technical skills and abilities that you have acquired during your 4 years as undergraduates. We will study techniques for locating machines, resources, and data (including directory systems, information retrieval indexing, ranking, and web search); and we will investigate how different architectures support scalability (and the issues they face). An investigation of paradigms for design and analysis of algorithms. The purpose of this course is to provide a 1 CU educational experience which tightly integrates the theory and applications of discrete probability, discrete stochastic processes, and discrete statistical inference in the study of computer science. This course introduces students to various tools (source control, automated build systems, programming environments, test automation, etc.) What are the basic mathematical concepts and techniques needed in computer science? The topics may vary from year to year, and will be selected among the following subjects (nonexhaustive list): Introduction to projective geometry with applications to rational curves and surfaces, control points for Rational curves, rectangular and triangular rational patches, drawing closed rational curves and surfaces; Differential geometry of curves (curvature, torsion, osculating planes, the Frenet frame, osculating circles, osculating spheres); Differential geometry of surfaces (first fundamental form, normal curvature, second fundamental form, geodesic curvature, Christoffel symbols, principal curvatures, Gaussian curvature, mean curvature, the Gauss map and its derivative dN, the Dupin indicatrix, the Theorema Egregium, equations of Codazzi-Mainardi, Bonnet’s theorem, lines of curvatures, geodesic torsion, asymptotic lines, geodesic lines, local Gauss-Bonnet theorem). In the assignments for this course, students will be able to apply the techniques to actual computer vision problems. The course will include a series of projects that will implement safety-critical embedded systems (e.g., pacemaker, infusion pump). This semester’s project will be a peer-to-peer implementation of a Google-style search engine, including distributed, scalable crawling; indexing with ranking; and even PageRank. A series of short, weekly homework assignments reinforces the concepts introduced in class and a group-based final project of the students’ design allows them to apply their C# knowledge toward a substantial problem. Approved Non-CIS Electives Approved Non-CIS Course Electives for CIS/MSE & MCIT Graduate Students:. A large project introducing students to the challenges of software engineering concludes the course. For a course more focused on GPU architecture without graphics, see Joe Devietti's CIS 601. Time: Fall 2019, Tuesday & Thursday 3:00 … For PhD candidates working exclusively on their dissertation research following their dissertation proposal. Fall This course is an introduction to Machine Learning Theory, a field which attempts to provide algorithmic, complexity-theoretic and statistical foundations to modern machine learning. How do you route data in a network? This course is for students who do not have an academic background in computer science and who are not pursuing the Master’s in Computer Information Technology and who are not graduate students in the CIS Department. Fall; Spring; Summer; Independent Study/Thesis Sections; Important Note: All current course information at Penn, including descriptions, instructors, and provided syllabi, is accessible by PennKey using Penn InTouch.. Students, faculty and staff can log in to search for a particular course by … To the extent possible, the projects will be done in Python and Solidity. Sector 6: 20th Century … It is being increasingly used in industry by organizations such as Facebook, AT&T, and NASA, along with several financial firms. Can you be convinced of the correctness of an assertion without ever seeing the proof? This course examines the expansion of the Ottoman sultanate from a local principality into a sprawling empire with a sophisticated bureaucracy; it also investigates the social, cultural, and intellectual developments that accompanied the long arc of the empire's rise and fall. Topics will include: software development lifecycle; agile and test-driven development; source control and continuous integration; requirements analysis; object-oriented design and testability; Android application development; software testing; refactoring; and software quality metrics. Prerequisite(s): Elementary probability, calculus, and linear algebra. Knowledge of vector geometry is useful. Courses for Fall 2019. Penn Summer COVID-19 Update Penn Summer staff are not onsite, but we are still available Monday through Friday from 9 a.m. - 5 p.m. by phone and online in case you need support: (215) 898-7326 or [email protected]. If you have never programmed before, you should take CIS 110 first. Staff See Timetable for times. The structure of the course will be lecture-based using small-team based exercises for evaluation. This course is meant primarily for juniors and seniors in CIS. Prerequisites. The first of these results is used to show limitations on the expressive power of first–order logic over finite structures while the second result demonstrates that the problem of reasoning about finite structures using first–order logic is surprisingly complex. CIS 120 and CIS 240 are useful pre- or co-requisites. UPenn CIS 565 Fall 2019 - GPU Programming has 11 repositories available. The material is taught from a computer science perspective, with an emphasis on algorithms, computational complexity, and tools. Google translate can instantly translate between any pair of over fifty human languages (for instance, from French to English). Students, faculty and staff can log in to search for a particular course by subject code and number (Ex: CIS100), or by keyword and or/instructor. Some of the topics to be covered include: Projective Geometry, Camera Calibration, Image Formation, Projective, Affine and Euclidean Transformations, Computational Stereopsis, and the recovery of 3D structure from multiple 2D images. MW 5-6:30. fulfills requirements: Sector 2: Difference and Diaspora of the Standard Major. Python Workshop Fall 2019 « All Events . Particular topics include operational techniques for formal definition of language features, type systems and type safety properties, polymorphism, constructive logic, and the Coq proof assistant. Prerequisite(s): Any undergraduate networking or distributed systems course, e.g. There is no required textbook for this course. The primary emphasis is on the development of the oral-aural skills, speaking and listening. This course traces the history of the Civil Rights Movement from its earliest stirrings in the 1st half of the twentieth-century to the boycotts, sit-ins, school desegregation struggles, freedom rides and marches of the 1950s and 1960s, and beyond. Along the way, we study objects and inheritance, first-class functions (closures), data representation and runtime-support issues such as garbage collection. c.The exam is closed-book and closed notes. vector matrix math), curves and surfaces, dynamical systems (e.g. Increasingly, such embedded computers are everywhere, from smart cameras to medical devices to automobiles. Please be familiar with the other parts of this web site, specifically the Policy and the Syllabus sections. If CIS 520/Machine Learning is used to fulfill the CIS/MSE core requirement, then CIS 519/Introduction to Machine Learning, cannot be used to fulfill the CIS/MSE core requirement, but can be used as a CIS elective. Prerequistites: This course will assume a solid knowledge of modern biology. CS120 (Computer Science through Program Design) or equivalent is strongly recommended. Haskell is a high-level, purely functional programming language with a strong static type system and elegant mathematical underpinnings. An analysis of China's "Great Cannon" by Marczak et al. R 1-3. – Assignments involve programming in C/C++ in the LLVM compiler infrastructure. Review of regular and context-free languages and machine models. Prerequisite(s): Basic knowledge of linear algebra, calculus, and elementary geometry (CIS 560 not required.). Grades are based on the report, the presentation and the satisfactory completion of the project. For more information, see the guide to Course Numbering and Academic Credit at the University of Pennsylvania. No prior knowledge of quantum mechanics (QM) is assumed. TR 0130PM-0300PM . A CIS 599 course unit will invariably include formally gradable work comparable to that in a CIS 500-level course. Forum: Piazza: People: Instructor: Stephanie Weirich (Monday 2PM, Levine 510) Teaching assistants: Li-Yao Xia (Friday 10AM), Nick Rioux (Tuesday 2PM) Administrative assistant We will explore design choices and language features that allow Rust to have performance comparable to C and C++ without compromising speed or correctness. The goal of Machine … The second part of the course addresses the problem of memory management; it will cover topics such as linking, dynamic memory allocation, dynamic address translation, virtual memory, and demand paging. possible in order to discuss the arrangements for your accommodations. Time and space complexity, hierarchy theorems, the complexity classes P, NP, PSPACE, L, NL, and co-NL. Last Day to Drop a Course: Oct. 7 Fall Break: Thursday, Oct. 10-Sunday, Oct. 13 Last Day to Withdraw from a course: Nov. 4 Midterm 2: Thursday, Nov. 14 from 3:00-4:20pm in DRL 3W2 Thanksgiving Break : Thursday, Nov. 28 - Sunday, Dec. 1 Last Day of Classes: Monday, Dec. 9 Final Exam: Wednesday, Dec. 18 from 12-2pm in DRLB A6 Offered TBA. 3440 Market Street, Suite 100 Philadelphia, PA 19104-3335 (215) 898-7326 [email protected] We will discuss string algorithms, hidden markov models, dimension reduction, and machine learning (or phylogeny estimation) for biomedical problems. Logic has been called the calculus of computer science as it plays a fundamental role in computer science, similar to that played by calculus in the physical sciences and traditional engineering disciplines. In the new era of big data, we are increasingly faced with the challenges of processing vast volumes of data. Students are expected to have a basic understanding of computer architecture and graphics, and should be proficient in OpenGL and C/C++. DEPARTMENT OF ELECTRICAL AND SYSTEMS ENGINEERING. Increasingly, the major providers (including Amazon, Google, Microsoft, HP, and IBM) are looking at “hosting” third-party applications in their data centers – forming so-called “cloud computing” services. How the structure of a network can help predict behavior among the nodes? The third major part of the course concerns file systems, including topics such as storage devices, disk management and scheduling, directories, protection, and crash recovery. This course introduces principles and practices of computer and network security. Serge Abiteboul, Peter Buneman, and Dan Suciu. Code of Developing tools for approaching design, analysis, and implementation of embedded systems in a principled manner is an active research area. Evaluation is based on selecting an interesting topic, completing appropriate research on the state of the art in that area, communicating your objectives in writing and in presentations, accurately estimating what resources will be required to complete your chosen task, coding necessary functionality, and executing your plan. Prerequisite: CIS 520 (Machine Learning) or permission of instructor. self-identified and received approval from the Office The University reserves the right to change, modify, or correct any information contained herein without prior notice, at any time. Prerequisite(s): Previous exposure to major concepts in linear algebra (i.e. In this class you will learn the fundamentals of computer programming in Java, with emphasis on applications in science and engineering. This course provides an introduction to fundamental concepts in the design and implementation of networked systems, their protocols, and applications. This course builds on your knowledge of C and focuses on systems programming for Linux, specifically the libraries that programmers use for threading and concurrency, synchronization, inter-process communication, and networking. Prerequisites: A working knowledge of C++ programming is required (one year programming experience in general). The purpose of this masters-level course is to teach the design and implementation of operating systems and operating systems concepts that appear in other advanced systems.

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