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Course Criteria
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4.00 Credits
Introduction to the various aspects of Roman civilization such as art, education, daily life, festivals, law, religion, science, and sports. Readings in primary sources in translation.
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1.00 - 3.00 Credits
Directed study, oriented toward research, to be arranged with individual faculty members. Course offers exceptional students an opportunity to participate in a research project or group.
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4.00 Credits
Introduction to computational science, emphasizing basic numerical algorithms and the informed use of mathematical software. Matrix computation, systems of linear and nonlinear equations, interpolation and zero finding, differential equations, numerical integration. Students learn and use the Matlab language.
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4.00 Credits
The study of data structures and their applications. Correctness proofs and techniques for the design of correct programs. Internal and external searching. Hashing and height balanced trees. Analysis of sorting algorithms. Memory management. Graph traversal techniques and their applications.
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4.00 Credits
Design and analysis of computer algorithms. Correctness proofs and solution of recurrance relations. Design techniques; divide and conquer, greedy strategies, dynamic programming, branch and bound, backtracking, and local search. Applications of techniques to problems from several disciplines. NP - completeness.
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4.00 Credits
Formal languages; finite automata and regular expressions; properties of regular languages; pushdown automata and context-free grammars; properties of context-free languages; introduction to computability and unsolvability. Introduction to Turing machines and computational complexity.
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4.00 Credits
No course description available.
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4.00 Credits
Machine-level structures implementing the operating system abstraction; memory-mappers, multi-level interrupts, direct memory access techniques. Lowest-level software/firmware structure: micro-kernels, interpreters, emulators, threaded-code, real-time scheduling. Compilation and cross-compilation techniques; system initialization; validation and debugging; in-circuit testing.
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4.00 Credits
Introduction to the architecture of computer systems. Topics include: central processing units, memory systems, channels and controllers, peripheral devices, interrupt systems, software versus hardware tradeoffs.
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4.00 Credits
Fundamental building blocks for solving problems using computers. Topics include basic computer organization and programming constructs: memory CPU, binary arithmetic, variables, expressions, statements, conditionals, iteration, functions, parameters, recursion, primitive and composite data types, and basic operating system and debugging tools.
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