COMP-SCI 5510      Information Theory
Representation, transmission and transformation of information, information compression and protection, generation, storage, processing and transmission of information. Prerequisite: BS in Computer Science, Engineering, or Mathematics.
Credits: 3 hours
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COMP-SCI 5511      Advanced Telecommunications Networks
Efficient source coding and channel coding techniques, principles of switching, digital transmission over microwave, copper and optical media, T-carrier and SONET systems, traffic consideration in telecommunications networks, network synchronization, control and management, ATM concepts. Prerequisite(s): COMP-SCI 394R and COMP-SCI 411.
Credits: 3 hours
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COMP-SCI 5513      Digital Cellular Communications
Principles of microwave communications, performance metrics, mobile communications and cellular topology, co-channel and adjacent channel interference, fading and shadowing, various types of diversity, TDMA, FDMA and CDMA and other techniques for channel assignment, cellular network architectures, design considerations, PCN concepts. Prerequisite COMP-SCI 411.
Credits: 3 hours
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COMP-SCI 5514      Optical Fiber Communications
Fiber optic cable and its characteristics, optical sources and transmitters, optical detectors and receivers, optical components such as couplers and connectors, WDM and OFDM techniques, modulation and transmission of information over optical fibers, design of optical networks, single and multihop fiber LANs, optical carrier systems. Prerequisite: COMP-SCI 411.
Credits: 3 hours
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COMP-SCI 5517      Digital Switching: Techniques And Architectures
Integration of transmission and switching, single and multistage switching principles, space and time division switching, conventional switch architectures such as 4ESS, integration of circuit and packet switching, ATM switching and design considerations, ATM switch architectures, evaluation and comparison, future trends. Prerequisite(s): COMP-SCI 394R and COMP-SCI 411.
Credits: 3 hours
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COMP-SCI 5520      Network Architecture I
Principles, protocols, and architectures of data networks, internetworking, routing, layering, and addressing, with specific investigation of the Internet Protocol (IP), Mobile IP, Multiprotocol Label Switching (MPLS), IP over Asynchronous Transfer Mode (ATM) networks, and virtual private networks. Prerequisite: COMP-SCI 420 or COMP-SCI 421A, COMP-SCI 431.
Credits: 3 hours
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COMP-SCI 5521      Network Architecture II
Principles, protocols and architectural issues of computer networks for transport layer and above, with specific emphasis on TCP/IP for best-effort services as well as for emerging multi-media services. Prerequisite: COMP-SCI 5520.
Credits: 3 hours
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COMP-SCI 5522      Computer Network Design And Analysis
Topological design, capacity and flow assignment problem-modeling and algorithms, and their analysis, issues in network control. Prerequisite(s): CS 394R; CS 421A, and CS 303.
Credits: 3 hours
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COMP-SCI 5524      Protocol Design
Protocols as formal algorithms, architectural definition, protocol specification languages and models and their translation to implementation languages, overview of verification methods, symbolic execution. Prerequisite: CS 421.
Credits: 3 hours
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COMP-SCI 5526      Network Routing
Algorithms, protocols and analysis for network routing. Routing in different networks such as circuit-switched networks, Internet, broadband networks, and transmission networks are covered. Prerequisites: COMP-SCI 5520 and COMP-SCI 5522.
Credits: 3 hours
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COMP-SCI 5528      Local Area Networks: Analysis And Design
Definition of local area networks (LAN), LAN architecture and protocols, topology, transmission media, channel access protocols, modeling, simulation and performance evaluation of LANs, considerations in design and implementation, examples. Prerequisite: COMP-SCI 421A and COMP-SCI 494R.
Credits: 3 hours
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COMP-SCI 5531      Advanced Operating Systems
Components of an operating system, scheduling/routing mechanisms, process control blocks, design and test various operating system components. Prerequisite: COMP-SCI 431.
Credits: 3 hours
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COMP-SCI 5532      Discrete Event Simulation
Review of statistical distributions, generation of pseudorandom variates and stochastic processes, basic queueing systems such as M/M/m and Jackson Networks, simulation project. Prerequisite: CS 594.
Credits: 3 hours
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COMP-SCI 5551      Advanced Software Engineering
Current concepts in software architecture and design, comparative analysis for design, object-oriented software design, software quality criteria for evaluation of software design. Introduction to metrics, project management and managerial ethics. Prerequisite: COMP-SCI 451.
Credits: 3 hours
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COMP-SCI 5552      Advanced Data Structures
Formal modeling including specification and deviation of abstract data types, completeness issues in the design of data types and data structures, implementation of data structures from a formal data type specification, verification of abstract to concrete data mapping. Prerequisite(s): COMP-SCI 291 and COMP-SCI 303.
Credits: 3 hours
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COMP-SCI 5554      Software Tools And Programming Environments
Taxonomy of software tools and environments, generic software tool architecture, interface techniques for users, intra-system and stand-alone systems, integration of heterogeneous systems components. Prerequisite: COMP-SCI 451.
Credits: 3 hours
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COMP-SCI 5556      Human Factors In Computer Systems
Design of ""user friendly"" man-machine interface, survey of recent psychological studies in man-machine interaction, user interface design, instrumentation and testing, analytic models of man-machine interaction. Prerequisite: CS 451.
Credits: 3 hours
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COMP-SCI 5560      Knowledge Discovery And Management
This course teaches students fundamental theory and practice in the field of knowledge discovery and management and also provides them with hands-on experience through application development. Prerequisites: COMP-SCI 5551, and either COMP-SCI 461 or COMP-SCI 464 Offered: Every Winter
Credits: 3 hours
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COMP-SCI 5561      Advanced Artificial Intelligence
AI systems and their languages, implementations and applications, case studies of various expert systems, current research topics in AI, logic programming using PROLOG. Prerequisite: CS 461.
Credits: 3 hours
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COMP-SCI 5564      Inference Techniques And Knowledge Representation
Inference Techniques is an in-depth course of logic and automatic theorem proving, intended for Computer Science graduate students, with particular importance to those students interested in Artificial Intelligence. The main areas of study will be concerned with the principals and techniques used for automatic theorem proving. An overview of the representation of knowledge and logic, a detailed appreciation of theorem proving methods, and implementation techniques will be provided in the course. The course will provide background for further study in varying fields of A.I. Prerequisite: CS 461 or consent of instructor.
Credits: 3 hours
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