We will cover basic concepts, threat models, and the security mindset; an introduction to cryptography and cryptographic protocols including encryption, authentication, message authentication codes, hash functions, public-key cryptography, and secure channels; an introduction to networks and network security including IP, TCP, routing, network protcols, web architecture, attacks, firewalls, and intrusion detection systems; an introduction to software security including defensive programming, memory protection, buffer overflows, and malware; and discuss broader issues and case studies such as privacy, security and the law, digital rights management, denial of service, and ethics. We will study the theory of relational and XML data design; the basics of query languages; efficient storage of data, execution of queries and query optimization; transactions and updates; web-database development; and "big data" and NoSQL systems. Built on top of classical theories in multi-variable calculus and linear algebra (as a prerequisite), the lectures in this course will strongly focus on explaining numerical methods for applying these mathematical theories to practical engineering problems. The purpose of this course is to introduce undergraduate students in computer computer science and engineering to quantum computers (QC) and quantum information science (QIS). The course surveys a wide range of applications of software analysis including proving the absence of common programming errors, discovering and preventing security vulnerabilities, systematically testing intricate data structures and libraries, and localizing root causes in complex software failures. report. 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. Grades are based on the report, the presentation and the satisfactory completion of the project. You’ve just left an all-hands meeting at your company*. CIS 505 is one of the core courses in the MSE program, and its final exam qualifies as one of the WPE-I exams in the PhD program. CIS500 UPENN CEO’s Challenge Memo DSS As The Best Information System. Log in or sign up to leave a comment Log In Sign Up. Prerequisite: Familiarity with threads and concurrency, strong Java programming skills. If you have never programmed before, you should take CIS 110 first. For doctoral students studying a specific advanced subject area in computer and information science. Are these presentations accurate? 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: Previous expoure to majr concepts in linear algebra (i.e. 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. What are the basic mathematical concepts and techniques needed in computer science? Document Type. This course is an introductory graduate course on computer architecture with an emphasis on a quantitative approach to cost/performance design tradeoffs. Each year, the studio-seminar focuses on a project. This course WILL NOT provide a broad survey of the field nor teach specific tools but focus on a deep understanding of a small set of topics. EALC 069. CIS 125 is focused on developing an understanding of existing and emerging technologies, along with the political, societal and economic impacts of those technologies. ESE 500: Linear Systems. A CIS 599 course unit will invariably include formally gradable work comparable to that in a CIS 500-level course. This course investigates algorithms to implement resource-limited knowledge-based agents which sense and act in the world. Or can I trust PCR with its difficulty ratings? 100% Upvoted . For master's students who have taken ten course units and need only to complete the writing of a thesis or finish work for incompletes in order to graduate. Teams competing in the SubT Challenge are tasked with creating a robotics system that can successfully navigate underground tunnels, urban transportation systems and natural caves. 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. Difficulty ratings to that in a CIS 599 course unit will invariably formally. 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