This class will focus on case studies, c and methods of how archaeology and the past are created, presented and used in movies, museums, games, the internet, and art. Will new devices allow tracking of your every move and every purchase? CIS 160 Mathematical Foundations of Computer Science. EALC 069. Document Type. And how can you build something better? A given course will be offered as CIS 188 at most twice; after this, it will be assigned a permanent course number. Teams (of size 2-3) will build a web application in the second half of the semester as the class project. Prerequisite: Proficiency in Java. CIS 500 - Spring 2019; Register Now. This half-credit course provides a thorough introduction to Unix and Linux. This course covers a variety of advanced topics in machine learning, such as the following: statistical learning theory (statistical consistency properties of surrogate loss minimizing algorithms); approximate inference in probabilistic graphical models (variational inference methods and sampling-based inference methods); structured prediction (algorithms and theory for supervised learning problems involving complex/structured labels); and online learning in complex/structured domains. This course will provide an introduction to programming in C++ and is intended for students who already have some exposure to programming in another language such as Java, C++ provides the programmer with a greater level of control over machine resources and are commonly used in situations where low level access or performance are important. This course introduces basic concepts and techniques in the foundational study of programming languages. This course covers the basics of a distributed ledger, how it is built, used, andsecured at the network and data-structure levels. University of Pennsylvania Department of Computer and Information Science Technical Report No. 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. Topics in this section include processes and threads, context switching, synchronization, scheduling, and deadlock. You know how to program, but do you know how to implement a programming language? Prerequisite: Two semesters of progrmming courses, e.g., CIS 120, 121, 240. UPenn's Software Foundations Course 0 stars 0 forks Star Watch Code; Issues 0; Pull requests 0; Actions; Projects 0; Security; Insights; Dismiss Join GitHub today. The course will strive to focus on a small set of approaches to gain both theoretical and practical understanding of the methods. At the end of the second semester, students must describe their results in a written thesis and must present them publicly, either in a talk at Penn or in a presentation at a conference or workshop. For Ph.D. candidates working exclusively on their dissertation research, having completed enrollment for a total of ten semesters (fall and spring). A primary objective of the course is to enable students to integrate modern bioinformatics tools into their research activities. Prerequisite: Previous exposure to major concepts inn linear algebra (i.e. In particular, emphasis will be given to biological problem modeling and understanding the algorithms and mathematical procedures at the "pencil and paper" level. For students working on an advanced research leading to the completion of a Master's thesis. Homework can be submitted via Canvas. The course balances theory with practice by "looking under the hood" of current animation systems and authoring tools and exams the technologies and techniques used from both a computer science and engineering perspective. There are no "correct" answers to these problems; rather, the focus is on the four steps of the problem solving process: algorithmic thinking; programming; analysis; and communication. Different topics selected each offering; e.g., NL generation, question-answering, information extraction, machine translation, restricted grammar formalisms, computational lexical semantics, etc. proof-of-time, proof-of-space, proof-of-stake) will be explored and analyzed. Prerequisites: CIS 400, senior standing or permission of instructor. This course covers generations of wireless mobile network standards and systems, basic differences and their evolution, charting the development of mobile telecommunications systems from 3G, to today's state-of-the-art wireless technology 4G LTE, and the next generation wireless technology, 5G. master. ESE 531: Digital Signal Processing . Prerequisites: CIS 121, CIT 594, or equivalent, or permission of the instructor. In the assignments for this course, students will be able to apply the techniques to actual computer vision problems. Developing tools for approaching design, analysis, and implementation of embedded systems in a principled manner is an active research area. Algorithms for planning and perception will be studied and implemented on actual robots. CIS 540 Principles of Embedded Computation. best. The goal of this course is to develop a deeper understanding of techniques and concepts used in Computational Biology. CIS 500: Software Foundations - Fall 2016 Home. While the classical theory of computation focuses on the function that a program computes, to understand embedded computation, we need to focus on the reactive nature of the interaction of a component with its environment via inputs and outputs, the continuous dynamics of the physical world, different ways of communication among components, and requirements concerning safety, timeliness, stability, and performance. The use of logical formalisms in Computer Science is dominated by a fundamental conflict: expressiveness vs. algorithmic tractability. Database constraint logics, temporal logics and description logics are successful compromises in this conflict: (1) they are expressive enough for practical specifications in certain areas, and (2) there exist interesting algorithms for the automated use of these specifications. The first half of the course will involve fundamentals of mobile app development, where students learn about mobile app lifecycles, event-based programming, efficient resource management, and how to interact with the range of sensors available on modern mobile devices. In CIS341 you'll learn how to build a compiler. Through Rails, we'll ex;ore the "culture" of web programming such as agile methodology, testing, key aspects of software engineering, using web services and APIs, and deploying to the cloud. One-time course offerings of special interest. cis.upenn.edu; Apply; Search for: Research Highlights in Penn Computer & Information Science. Unix, in its many forms, runs much of the world's computer infrastructure, from cable modems and cell phones to the giant clusters that power Google and Amazon. After these three major topics, the class will conclude with specialized topics such as virtual machines and case studies of different operating systems (e.g. Contact us with questions about admissions or academic programs | For website issues, email the webmaster Most other small camera flashtubes are 100 to 300 Torr. Fall 2018 . This course is appropriate as an upper-level undergraduate CIS elective. Computer and Information Science, PhD The Doctoral Program (Ph.D.) in Computer and Information Science (CIS) welcomes candidates with strong training in any of the disciplines related to modern information processing, with an emphasis on computer science and mathematics. This course focuses on the challenges encountered in building Internet and web systems: scalability, interoperability (of data and code), security and fault tolerance, consistency models, and location of resources, services, and data. This course covers the fundamentals of advanced quantitative image analysis that apply to all of the major and emerging modalities in biological/biomaterials imaging and in vivo biomedical imaging. Consistent with standard industry practices, game code and logic will be written using C++ and popular scripting languages such as Python and Lua. Pages 5; Ratings 100% (3) 3 out of 3 people found this document helpful. CIS 261 Discrete Probability, Stochastic Processes, and Statistical Inference. CIS 331 Introduction to Networks and Security. Can you check if two large documents are identical by examining a small number of bits? 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. CIS 515 Fundamentals of Linear Algebra and Optimization. We introduce the basic concepts about complexity of an algorithm and methods on how to compute the running time of algorithms. The course will require a significant term project in connected health or connected automotive domains. The curriculum is heavily project-based, and culminates in a group project focused on building an interactive first-person world exploration application using the various real-time interaction and rendering algorithms learned throughout the semester. Highlighted Projects Faculty Research Areas. CIS 502 * We aren't endorsed by this school. This course is designed to provide students with an exposure to the fundamental mathematical and algorithmic techniques that are used to tackle challenging image based modeling problems. Prerequisite: CIS 120 or previous programming experience. 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. 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. The graphics processing unit (GPU) has grown in power over recent years, to the point where many computations can be performed faster on the GPU than on a traditional CPU. 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. In this class you will learn the fundamentals of computer programming in Java, with emphasis on applications in science and engineering. This course will explore three topics: 1) image morphing, 2) image matching and stitching, and 3) image recognition. 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. The intended audience for this class is both those students who are CS majors as well as those intending to be CS majors. Why does it make the errors that it does? In addition to exploring general concepts of archaeology and the media, students will work in teams to produce an interactive, digital media exhibit using the latest modeling visualization programs for presenting the sacred landscape of the Inca capitalof Cuzco, Peru. This project-oriented course is centered around application development on current mobile platforms like iOS and Android. Do they promote or hurt scientific explanations? MS-CIS-92-51. This course examines the architecture and capabilities of modern GPUs. Lectures will be broadcast live on Zoom on Tuesdays and Thursdays from … To gain hands-on experience, students will implement basic simulators for several systems. Spring 2018 . Along the way, students will also pick up essential skills such as git, bash, HTML and CSS. Can you verify that a program has correctly computed a function without ever computing the function? 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. Topics covered include the JavaScript language, web browser internals, the Document Object Model (DOM), HTML5, client-side app architecture and compile-to-JS languages like (Coffeescript, TypeScript, etc.). The course emphasizes rigorous mathematical reasoning as well as connections to practical computing problems such as test processing, parsing, XML query languages, and program verification. Sprawling cities, dense vegetation, infinite worlds - procedural graphics empower technical artists to quickly create complex digital assets that would otherwise be unfeasible. No permission from the instructor is needed. Please enter your upenn.edu email address to enroll. ESE 500: Linear Systems. Topics covered are: (1) basic digital system design including finite state machines, (2) instruction set design and simple RISC assembly programming, (3) quantitative evaluation of computer performance, (4) circuits for integer and floating-point arithmatic, (5) datapath and control, (6) micro-programming, (7) pipeling, (8) storage hierarchy and virtual memory, (9) input/output, (10) different forms of parallelism including instruction level parallelism, data-level parallelism using both vectors and message-passing multi-processors, and thread-level parallelism using shared memory multiprocessors. View Entire Discussion (0 Comments) More posts from the UPenn community. This course will focus on web programming. C fluency. The material learned is applicable to many classes, including CIS 240, CIS 331, CIS 341, CIS 371, and CIS 380. Knowledge of computer organization and basic programming skills. It has begun to gain traction in industry even before official 1.0 release in May 2015, showing a recognized need for a new low-level systems language. This course develops students problem solving skills using techniques that they have learned during their CS training. Office Hours: TA/Graders: Lawrence Dunn, dunnla@seas.upenn.edu Ruijie Mao, dreamfly@sas.upenn.edu Luca Silver, lucsil@seas.upenn.du Office Hours: Course Format . This course explores techniques for writing correct and efficient embedded code. Prerequisite: A working knowledge of C++ programming is required (one year programming experience in general). The course will include dynamic programming, flows and combinatorial optimization algorithms, linear programming, randomization and a brief introduction to intractability and approximation algorithms. This course provides overview of bioinformatics and computational biology as applied to biomedical research. Research and teaching form the essence of our doctoral program. PERMISSION TO REGISTER FOR A COURSE WITH TIME CONFLICT: • Please Allow this student to register for my course with a time conflict with another course. This is a course about Algorithms and Data Structures using the JAVA programming language. As a side-effect of the material of this course you will learn about some aspects of large-scale software development assimilating large APIs. To enroll in CIS 410, students must develop an abstract of the proposed work, and a member of the CIS graduate group must certify that the work is suitable and agree to supervise the project; a second member must agree to serve as a reader. Working in teams of three or four, students will brainstorm an original game concept, write a formal game design document then develop a fully functional prototype consisting of a playable level of the game. For BA Students: Formal Reasoning and Analysis. Find info about panels, talks, special events and stories about the students and faculty that make CIS the exceptional department it is. 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. The topics will include: Particle Systems, Mass spring systems, Deformable Solids & Fracture, Cloth, Explosions & Fire, Smoke, Fluids, Deformable active characters, Simulation and control of rigid bodies, Rigid body dynamics, Collision detection and handling, Simulation of articulated characters, Simulated characters in games. Advanced topics in databases: distributed databases, integrity constraints, failure, concurrency control, relevant relational theory, semantics of data models, the interface between programming of languages and databases. In addition to providing the student with a solid background in C#, this course also explores topics that the .NET platform exposes such as object oriented design, .NET runtime internals, and others based on class interest. Meteorology courses provide an introduction to computational Biology as applied to biological problems robotics, character and. 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