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Computer Science 370: O perating Systems
4.00 Credits
St Lawrence University
An introduction to computer system design and use. Topics may include assemblers, interpreters, compilers, loaders, macro-processors and operating systems. Prerequisite: Computer Science 220.
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Computer Science 370 - O perating Systems
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Computer Science 374: Artificial Intelligence
4.00 Credits
St Lawrence University
This course introduces the concepts and uses of artificial intelligence. Possible topics include search strategies, natural language processing, expert systems, neural nets and robotics. Prerequisite: Computer Science 319.
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Computer Science 374 - Artificial Intelligence
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Computer Science 380: T heory of Computation
4.00 Credits
St Lawrence University
The basic theoretical underpinnings of computer organization and programming. Topics include the Chomsky hierarchy of languages and how to design various classes of automata to recognize computer languages. Application of mathematical proof techniques to the study of automata and grammars enhances understanding of both proof and language. Prerequisite: Computer Science 319 and Mathematics 280. Also offered as Mathematics 380.
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Computer Science 380 - T heory of Computation
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Computer Science 389 ,390: Independent Projects in Computer Science
4.00 Credits
St Lawrence University
Permission required.
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Computer Science 389 ,390 - Independent Projects in Computer Science
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Computer Science 489: SYE:Senior Project for Majors
4.00 Credits
St Lawrence University
Permission required.
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Computer Science 489 - SYE:Senior Project for Majors
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Computer Science 498: SYE:Senior Honors Project for Majors
4.00 Credits
St Lawrence University
Permission required.
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Computer Science 498 - SYE:Senior Honors Project for Majors
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Economics 100: Introduction to Economics
4.00 Credits
St Lawrence University
A general introduction to the discipline of economics, including both microeconomics and macroeconomics. The course is designed to develop an understanding of how economic principles and analysis can be used to study social problems and issues. Topics include supply and demand, comparative advantage, inflation, unemployment, economic growth, money and the banking system. Applications and issues vary by section.
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Economics 100 - Introduction to Economics
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Economics 108: E conomics for Environmentalists
4.00 Credits
St Lawrence University
An introduction to the basic concepts, tools and theories of microeconomics that are applied to problems typically associated with the use of the environment. The course begins with basic microeconomic principles, advances to important economics theories that are commonly used to describe environmental resource allocation problems and concludes with an examination of case studies such as air pollution and acid rain, destruction of rainforests, climate change, alternative sources of energy and waste disposal. This course does not count toward the major or minor in economics or economics-environmental studies and is not open to declared economics majors or first-year students. Prerequisite: Environmental Studies 101 or permission of the instructor. Also offered as Environmental Studies 108.
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Economics 108 - E conomics for Environmentalists
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Economics 115: Economics,Law and Government
4.00 Credits
St Lawrence University
This course examines the influence of government on markets and individuals' economic decisions, focusing on how the U.S. Constitution and federal and state governments' actions affect market outcomes. Alternative views of the appropriate roles of government in the economy are discussed. Economic perspectives and models are studied in the context of real word events; topics and applications vary by semester. Past topics have included crime and punishment, regulation of monopoly, poverty and inequality, economics of free speech, and the government role in stimulating the economy. This course does not count toward the major or minor in economics or any combined major with economics.
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Economics 115 - Economics,Law and Government
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Economics 200: Quantitative Methods in Economics
4.00 Credits
St Lawrence University
An introduction to mathematical and statistical techniques used in economic analysis. Topics include the representation of economic hypotheses, sources and uses of economic data, probability, hypothesis testing and regression analysis. Emphasis is on the application of statistical techniques to economic problems. Prerequisite: Economics 100. Students less confident in their mathematical skills should take Mathematics 113 prior to Economics 200. Also offered through Statistics.
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Economics 200 - Quantitative Methods in Economics
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