This course introduces basic concepts and techniques in the foundational study of programming languages. The details of this course change from year to year, but its purpose is to cover theoretical topics related to programming languages. 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 will focus on numerical algorithms and scientific computing techniques that are practical and efficient for a number of canonical science and engineering applications. The course is comprised of primers, lectures, student presentations and the authoring tool group project. Other topics include: static scheduling, VLIW and EPIC, software speculation, long (SIMD) and short (multimedia) vector execution, multithreading, and an introduction to shared memory multiprocessors. FNCE 101. This project-oriented course is centered around application development on current mobile platforms like iOS and Android. This course is an introductory graduate course on computer architecture with an emphasis on a quantitative approach to cost/performance design tradeoffs. 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 this course, we'll explore how researchers and organizations like Microsoft, Google, and NASA are solving these hard problems, and we'll get to use some of the tools they've built! In order to increase the level of interaction between the students and the instructor(s) I propose to use the following scenario. CIS 460 or CIS 560, and familiarity with computer hardware/systems. CIS 515 Fundamentals of Linear Algebra and Optimization. This course will be fully taught online. Increasingly, such embedded computers are everywhere, from smart cameras to medical devices to automobiles. Besides coursework, students may pursue Independent Studies to increase their depth of knowledge in a specific area - a maximum of two independent studiy credits can be used as electives for the CIS/MSE degree. Sometimes, deep learning is a product; sometimes, deep learning optimizes a pipeline; sometimes, deep learning provides critical insights; sometimes, deep learning sheds light on neuroscience or vice versa. GPUs have also become programmable, allowing them to be used for a diverse set of applications far removed from traditional graphics settings. In particular, emphasis will be given to biological problem modeling and understanding the algorithms and mathematical procedures at the "pencil and paper" level. Over the last decade, the language has evolved to meet the needs of a variety of programming styles while supporting the ever-growing capabilities of the the .NET runtime and libraries. For BA Students: Formal Reasoning and Analysis. This course is meant primarly for juniors and seniors in Computer Science. Consent of the instructor. To register for this course, the student must submit a detailed proposal, signed by the independent study supervisor, to the SEAS Office of Academic Programs (111 Towne) no later than the end of the "add" period. This is the second computer organization course and focuses on computer hardware design. In addition to creation of original art and animation assets for the game, technical features to be designed and implemented include a nove l game mechanic and/or user interaction model, game physics (i.e. Is it bad to take a semester of more than 3 500-lvl CIS courses? The second part will focus on Rails, the web framework and will include all topics required to develop and deploy production-ready modern web applications with Rails. Contact us with questions about admissions or academic programs | For website issues, email the webmaster UPENN. no comments yet. While planning is a fundamental problem in artificial intelligence and decision making, robot planning refers to finding a path from A to B in the presence of obstacles and by complying with the kinematic constraints of the robot. The course covers four major areas: fundamentals of cryptography, security for communication protocols, security for operating systems and mobile programs, and security for electronic commerce. Students will be expected to implement solutions and software tools using MATLAB/C++, practice state-of-the-art parallel computing paradigms, and learn scientific visualization techniques using modern software packages. As a result of their game development efforts, students will learn first hand about the creative process, design documentation, object-oriented software design and engineering, project management (including effective team collaboration and communication techniques), design iteration through user feedback and play-testing, and most importantly, what makes a game fun to play. Students are expected to have a basic understanding of computer architecture and graphics, and should be proficient in OpenGL and C/C++. Midterm Exam. You will also learn about the broader field of computer science and algorithmic thinking, the fundamental approach that computer scientists take to solving problems. Sort by. Time-Triggered Implementations of Dynamic Controllers. Prerequisite: Undergraduate-level knowledge of Operating Systems and Networking. To register for this course, the student must submit a detailed proposal, signed by the supervising professor and the student's faculty advisor, two weeks prior to the start of the term. This is the second computer oganization course and focuses on computer hardware design. This course is appropriate as an upper-level undergraduate CIS elective. Specifically: - Assignments involve programming in C/C++ in the LLVM compiler infrastructure. Topics covered will include traits and generics; memory safety (move semantics, borrowing, and lifetimes); Rust's rich macro system; closures; and concurrency. CIS 540 Principles of Embedded Computation. To gain hands-on experience, students will implement basic simulators for several systems. Sign up. Topics covered include linear and logistic regression, SVMs, PCA and dimensionality reduction, EM and HMMs, and deep learning. CIS 450 Database and Information Systems. Time and space complexity, hierarchy theorems, the complexity classes P, NP, PSPACE, L, NL, and co-NL. In this class you will learn the fundamentals of computer programming in Java, with emphasis on applications in science and engineering. This course is intended to introduce the mathematical and algorithmic foundations of procedural modeling and animation techniques, and to offer hands-on experience designing and implementing visual recipes in original graphics projects by applying these methods. Research papers published in the SigGraph Conference proceedings will provide the basis for the features/functionality/special effects that can be selected for implementation in the authoring tool. They will learn how to gather data, store it in appropriate data structures and then either write their own functions or use libraries to analyze and then display the salient information in that data. 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