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Course Criteria
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3.00 Credits
Principles of semiconductor electronics: energy bands of semiconductors; Fermi level; carrier distribution and transport mechanisms. Application of semiconductor theory to various junction and field effect devices. PREREQUISITE: EEN 305.
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3.00 Credits
Principles of operation, properties and applications of semiconductor devices, junction, metal-semiconductor, metal-oxide-semiconductor, optoelectronic, bulk-effect, and charge-coupled are covered.
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3.00 Credits
Advanced programming techniques: dynamic programming, fast data retrieval and sorting, enumerators, data structures, and data management. The limits of software engineering, computability and models of computation, complexity analysis.
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3.00 Credits
Examination of the building blocks of software systems. Requirements and specifications. Model driven Architecture. Architectural and Design Patterns. Design and analysis for functionality and quality. Computer Aided Software Engineering tools.
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3.00 Credits
Design for testability. Software testing methods and tools. Formal review techniques. Functional and structured testing methods and test generation. Unit-level testing. Integration, acceptance, regression, performance and stress testing. Verification methods.
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3.00 Credits
Computer data and instruction types, survey of existing architectures, and the interaction between hardware and software sub-systems are discussed. Advanced topics in computer architecture.
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3.00 Credits
Major features of modern programming languages with emphasis on design and software efficiency. Interaction between language design and the design of its compiler are included.
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3.00 Credits
The design and implementation of operating systems. Virtual memory and memory management, resource allocation, device drivers, process creation, control, communications and scheduling, file systems, data protection, security, parallel processing and time-sharing. The class includes a significant operating system implementation project.
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3.00 Credits
Fundamentals of MOS Technology in VLSI. System data, control flow, structures, design, layout, mask making, fabrication, packaging, and testing of VLSI chips are discussed. Highly concurrent Very Large Scale Integration computational systems are also covered.
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3.00 Credits
Probability models, Bayes' theorem, Limit theorems of Laplace and Poisson, functions of random variables, Central limit theorem, conditional expectation and estimation, Stochastic processes, stationarity and ergodicity, cross-spectral analysis, filtering, and prediction are discussed.
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