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Course Criteria
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3.00 Credits
This course is a study of the principles of software engineering and various programming methodologies as applied to the development of large, complex software systems. Top-down, structured design and programming will be emphasized. There will be practice in the construction of a large software system. This course is usually offered in the Fall. This is a programming intensive course.
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3.00 Credits
This course will introduce the students to the current theoretical models and approaches used in the design, construction, and management of large, complex systems with long life cycles. Topic areas include requirements specification, design, configuration management, technical reviews, quality assurance, testing, and metrics. Case studies will be undertaken to compare the various approaches.
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3.00 Credits
This course is an introduction to natural language processing in Computer Science. There will be a review of elementary text, tree, and graph processing, and an introduction to syntactic and semantic processing. For syntax, Backus-Naur form grammars, sentence generation/recognition, augmented transition networks, and parsing strategies will be studied. For semantics, case grammar theory, and parsing strategies will be studied. There will be case studies of current systems as well as programming practice. For graduate credit, a student will be required to write a term paper or execute a project.
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3.00 Credits
This course is an introduction to the methods and techniques involved in translating high-level languages, such as "C," into executable machine code. Lexical scanning, parsing, symbol table construction, object code generation, and optimization will be studied and a compiler will be written. For graduate credit, a student will be required to write a term paper or execute a project which reflects deeper investigation of the topics covered in the course.
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3.00 Credits
This course is an introduction to the methods and techniques involved in translating high-level languages, such as "C," into executable machine code. Lexical scanning, parsing, symbol table construction, object code generation, and optimization will be studied and a compiler will be written. For graduate credit, a student will be required to write a term paper or execute a project which reflects deeper investigation of the topics covered in the course.
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3.00 Credits
This course is an introduction to parallel computing, a rapidly growing area of computer science. Principles of parallel computer architecture and parallel algorithms for various applications will be studied. There will be practice in parallel programming.
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3.00 Credits
This course covers a number of advanced topics in the Internet and web programming domain including: client-server architectures, web services, service-oriented architectues, cloud computing, and mobile web applications. Tthis is a programming intensive course which focuses on applying these technologies to design a web based application, with emphasis on optimizing the performance of the end product. The student will be required to implement a team project using one or more of these technologies.
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3.00 Credits
This course involves the study of computer systems structure, organization, implementation, and performance. Von-Neumann machines, from the early EDVAC to current microprocessors will be considered. Parallel processors and other specialized architectures will also be studied.
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3.00 Credits
This course will thoroughly examine the principles of the design of computer operating systems. Emphasis will be placed on process allocation and scheduling, concurrent programming, memory management, device management, file management, and protection. How the principles are implemented in an existing operating system will be examined.
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3.00 Credits
This course provides students with an introduction to the state of art in mobile computing. Topics will include the fundamentals of mobile computing: architecture and devices, operating systems, wireless networks, algorithms and protocols, location-aware and context-aware services, etc. The students are expected to design, develop, implement and evaluate mobile computing applications.
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