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Course Criteria
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3.00 Credits
(299) Semester by arrangement. Credits by arrangement, not to exceed 4 in any semester. Prerequisite: Consent of instructor and department head. This course exposes the student to management principles and practices and the knowledge and skills necessary to develop an education project and to perform a research project.
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3.00 Credits
(244) Either semester. Three credits. Prerequisite: CSE 2102 and 3502. Introduction to the formal definition of programming language syntax and semantics. Design and realization of programming language processing systems such as assemblers, compilers, and interpreters.
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3.00 Credits
(233) Either semester. Three credits. Prerequisite: CSE 3502. The study of programming language features and programming paradigms. Data types, control, run-time environments, and semantics. Examples of procedural, functional, logical, and object-oriented programming. Features used for parallel and distributed processing. Classic and current programming languages and environments.
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3.00 Credits
(258) Either semester. Three credits. Prerequisite: CSE 2102; CSE 2304 or 3666. Introduction to the theory, design, and implementation of software systems to support the management of computing resources. Topics include the synchronization of concurrent processes, memory management, processor management, scheduling, device management, file systems, and protection.
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3.00 Credits
(249) Either semester. Three credits. Three one-hour lectures. Prerequisite: CSE 2300W; CSE 3666. This course and CSE 243 may not both be taken for credit. Cannot be taken after CSE 4901. Organization and architecture of modern computer systems. Emphasis is on alternatives and advances to the basic Von Neumann architecture: topics such as pipelining, memory hierarchy and management, multiprocessor and alternative architectures, reconfigurable hardware, and other techniques for performance enhancement.
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3.00 Credits
(228) Either semester. Three credits. Prerequisite: CSE 2304 or 3666, and CSE 3500. Introduction to parallel systems. Fundamentals of the theory of parallel systems. Models of parallel machines. Limitations of parallel systems. Paradigmatic algorithms. Vectorization. Arithmetic structures. Classical parallel architectures.
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3.00 Credits
(255) Either semester. Three credits. Prerequisite: CSE 3500. Fundamentals of data base design and data indexing techniques. Hierarchical, network, and relational data models. Data base design theory. Query languages, their implementation and optimization. Data base security and concurrent data base operations.
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3.00 Credits
(275) Semester by arrangement. Three credits. Prerequisite: CSE 3500 and MATH 2110Q and either MATH 2210Q or 3210Q. Not open for credit to students who have passed MATH 255. Representation of two- and three-dimensional data, internal representation of data structures, transformations, mapping of data to graphics screen, graphics hardware. Programming projects are assigned.
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3.00 Credits
(282) First semester. Three credits. Prerequisite: CSE 3500. Design and implementation of intelligent systems, in areas such as natural language processing, expert reasoning, planning, robotics, problem solving and learning. Students will design their own versions of "classic" AI problems, and complete one substantialdesign project. Programming will be done primarily in Lisp, which will be covered briefly at the beginning of the course.
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3.00 Credits
(281) Either semester. Three credits. Prerequisite: CSE 2102 and either 2304 or 3666. Introduction to computer security and the design of secure systems. Cryptographic tools. Operating system security and access control. Network, software and database security. Randomness generation. Malicious software. Digital rights management, anonymity and privacy. Various attacks and countermeasures. Ethical, legal and business aspects.
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