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Course Criteria
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0.00 - 4.00 Credits
Exile by definition entails a wrenching relocation in space, but exile also can disarrange, by fracturing, the sense of time. This course will examine the double time of exilic life, what Nabokov in [Pnin] calls physical time and spiritual time. Physical time accentuates the pangs of inhabiting a present so radically different from the familiar but quickly receding past. Spiritual time is more mobile and more creative; it can recall a vanished world back into existence and even project a future return. We will explore the theme of exilic time from Conrad's [Under Western Eyes] and Joyce's [Ulysses] to Sebald's [Austerlitz].
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0.00 - 4.00 Credits
Through a comparative focus on the concepts of dialectics and difference, we will read some of the formative theoretical, critical and philosophical works which continue to ground interdisciplinary critical theory today. Focal works by Lukacs, Freud, Heidegger, Adorno, Derrida, de Man, Arendt, and Benjamin are included among the texts we read.
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0.00 - 4.00 Credits
Computers are all around us. How does this affect the world we live in? This course is a broad introduction to computing technology for humanities and social sciences students. Topics will be drawn from current issues and events, and will include discussion of how computers work; what programming is and why it is hard; how the Internet and the Web work; security and privacy.
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0.00 - 4.00 Credits
Computers have brought the world to our fingertips. We will try to understand at a basic level the science--old and new--underlying this new Computational Universe. Our quest takes us on a broad sweep of scientific knowledge and related technologies: propositional logic of the ancient Greeks (microprocessors); quantum mechanics (silicon chips); network and system phenomena (internet and search engines); computational intractability (secure encryption); and efficient algorithms (genomic sequencing). Ultimately, this study makes us look anew at ourselves--our genome; language; music; "knowledge"; and, above all, the mystery of our intelligence.
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0.00 - 4.00 Credits
An introduction to computer science in the context of scientific, engineering, and commercial applications. The goal of the course is to teach basic principles and practical issues, while at the same time preparing students to use computers effectively for applications in computer science, physics, biology, chemistry, engineering, and other disciplines. Topics include: hardware and software systems; programming in Java; algorithms and data structures; fundamental principles of computation; and scientific computing, including simulation, optimization, and data analysis.
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0.00 - 4.00 Credits
Introduction to programming systems, including modular programming, advanced program design, programming style, test, debugging and performance tuning; machine languages and assembly language; and use of system call services.
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0.00 - 4.00 Credits
This course surveys the most important algorithms and data structures in use on computers today. Particular emphasis is given to algorithms for sorting, searching, and string processing. Fundamental algorithms in a number of other areas are covered as well, including geometric algorithms, graph algorithms, and some numerical algorithms. The course will concentrate on developing implementations, understanding their performance characteristics, and estimating their potential effectiveness in applications.
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0.00 - 4.00 Credits
An introduction to operating systems. Emphasis is on the fundamentals of how to design and implement an operating system. Topics include operating system structure, processes, threads, synchronizations, concurrent programming, interprocess communications, virtual memory, I/O device management, and file systems.
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0.00 - 4.00 Credits
Understand the design and construction of compilers. Concepts include syntax analysis, semantics, code generation, optimization and run-time systems. Translation of imperative languages (such as C), functional languages (such as ML), and object-oriented languages (such as Java) will be studied. Students will implement a complete compiler for a small language.
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0.00 - 4.00 Credits
Principles of scientific computation, driven by current applications in biology, physics, economics, engineering, etc. Topics include: simulation, integration of ordinary and partial differential equations, iterative optimization algorithms, stability and accuracy issues. Students will pursue projects in a variety of fields, writing their own computer programs and also using higher-level tools such as Matlab.
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