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Course Criteria
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4.00 Credits
Credits: 4 Prerequisites: CSE 305 or permission of instructor Corequisites: None Type: LEC/REC Introduces computational models for understanding natural languages. Covers syntactic and semantic parsing, generation, and knowledge representation techniques. Cross-listed with LIN 467.
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4.00 Credits
Credits: 4 Prerequisites: CSE 305 or permission of instructor Corequisites: None Type: LEC/REC Introduces those areas of artificial intelligence that relate to fundamental issues and techniques of computer vision and image processing. Emphasizes physical, mathematical, and image-processing aspects of vision. Topics include image formation, edge detection, segmentation, convolution, image-enhancement techniques, extraction of features (such as color, texture, and shape), object detection, 3-D vision, and computer system architectures and applications.
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4.00 Credits
Credits: 4 Prerequisites: EAS 305 or MTH 309 or permission of instructor Corequisites: None Type: LEC/REC Involves teaching computer programs to improve their performance through guided training and unguided experience. Takes both symbolic and numerical approaches. Topics include concept learning, decision trees, neural nets, latent variable models, probabilistic inference, time series models, Bayesian learning, sampling methods, computational learning theory, support vector machines, and reinforcement learning.
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4.00 Credits
Credits: 4 Prerequisites: Junior or senior standing, or permission of instructor Corequisites: None Type: LEC/REC Introduces philosophical issues in computer science. Examines the nature of computer science (e.g., whether it is a science or a branch of engineering, whether it is the study of physical computers or abstract computing); the nature of computation, algorithms, and software, and their implementation in computer programs; the nature of computer programs (e.g., whether they are theories, models, or simulations; whether they can or should be patented or copyrighted; whether they can be verified). Also briefly explores the philosophy of artificial intelligence and issues in computer ethics. Offered irregularly. Cross listed with PHI 484.
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4.00 Credits
Credits: 4 Prerequisites: CSE 305 Corequisites: None Type: LEC/REC Addresses some of the fundamental challenges in the design, implementation and deployment of large-scale distributed systems. Concepts covered include concurrency, synchronization, connection establishment, event handling, inter process communication, storage management, and service registration, discovery, and lookup. Also covers issues related to distributed objects such as life cycle management, mobility, security, naming, location, evolution, and autonomy. Analyses and implements possible solutions using objects, processes, services, components and frameworks. Offered irregularly.
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4.00 Credits
Credits: 4 Prerequisites: CSE 305 programming languages or equivalent, object-oriented design and programming in Java Corequisites: None Type: LEC Overview of information technology in large-scale commercial and scientific systems, emphasizing state of the art computing in realizing various services and the frameworks supporting these services. Concepts covered include: enterprise modeling, process modeling, process automation and streamlining, workflow management, messaging, persistent message queues, transaction monitoring, document exchange, application servers, service definition (web services, web services definition language: WSDL), connection and resource reservation protocols (TCP, grid computing), integration technologies and architectures (Java Enterprise Edition: J2EE, extensible Markup Language: XML, and Globus toolkit).
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4.00 Credits
Credits: 4 Prerequisites: C and C++ language programming experience, and either EAS 305 or MTH 411 Corequisites: None Type: LEC/REC Introduces basic elements of modern computer and telecommunications networks. Discusses a hybrid five-layer reference model resembling the popular TCP/IP model. In each layer, the course introduces the state-of-the-art hardware and software technologies. These include, for example, fiber-optic and wireless/mobile/cellular communications at the physical layer, to network security in the application layer. Offered once a year.
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4.00 Credits
Credits: 4 Prerequisites: CSE 379 or CSE 341 Corequisites: None Type: LEC/REC Examines system architecture with 32- and 64-bit microprocessors. Topics include the design of high-performance computer systems, such as workstations and multiprocessor systems using recent advanced microprocessor. Considers the internal architecture of recent microprocessors, followed by vector processing, memory hierarchy design, and communication subsystems for I/O and interprocessor communication.
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1.00 - 3.00 Credits
Credits: 1-3 Prerequisites: None Corequisites: None Type: TUT This course provides the opportunity for undergraduate students to serve as undergraduate mentors for students entering the Computer Science & Engineering department. Students that are interested in becoming mentors are asked to contact the mentor program coordinators. Registration in the course is by permission of the coordinators only.
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4.00 Credits
Credits: 4 Prerequisites: Senior standing Corequisites: None Type: LEC/LAB Introduces VLSI electronics. VLSI is the integration of a large number of logic gates on a single semiconductor chip. Applications of VLSI include memory, microprocessors, and signal processing. Topics include digital system design; VLSI systems; CMOS circuits; use of CAD tools in the layout of full-custom and semi-custom integrated circuits. Project required. Emphasizes designing a working chip and understanding various steps in design. Typical projects: ALU, games, controllers.
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