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ET 733: Business Organization and Law
4.00 Credits
University of New Hampshire-Main Campus
Corporations; proprietorships; product liability; contracts; federal agencies; commercial paper; conditions of employment; business ethics; bankruptcy; U.C.C. Special fee. Writing intensive. 4 cr.
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ET 733 - Business Organization and Law
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ET 734: Economics of Business Activities
3.00 Credits
University of New Hampshire-Main Campus
Elementary fi nancial accounting; compound interest and time value of money; sources of capital; cost estimating; depreciation; risk and insurance; personal fi nance. Prereq: diff erential and integral calculus. Special fee. 4 cr.
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ET 734 - Economics of Business Activities
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ET 737: Web Server Databases
3.00 Credits
University of New Hampshire-Main Campus
Multiple tiered database design and commercial databases are the focus of study. Practical application programs provide hands-on experiences. Prereq: ET 627 or by permission. 4 cr.
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ET 737 - Web Server Databases
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ET 745: Instrumentation
3.00 Credits
University of New Hampshire-Main Campus
Statistics of experimentation ; quantity standards and measurement; design of experiments; use of laboratory gear including dynamometer; fi eld trips. Prereq: diff erential and integral calculus; ET 644 or equivalent. Lab. 0/4 cr.
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ET 745 - Instrumentation
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ET 747: User Interface Design
3.00 Credits
University of New Hampshire-Main Campus
Standards in user interface design of programs applied to practical programming applications. Consistency in look and feel often forms the core of software certifi cation requirements. Prereq: intermediate Graphic User Interface programming skills in one or more of the following languages: Java, Visual Basic, Visual C++ Windows, Visual Basic.Net and C# or permission. 4 cr.
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ET 747 - User Interface Design
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ET 751: Mechanical Engineering Technology Project
3.00 Credits
University of New Hampshire-Main Campus
Students are required to fi nd solutions to actual technological problems in design, fabrication and testing as posed by industry. Students defi ne the problem, prepare a budget and work with the client company to research, design, build and test the software and/ or hardware needed. Prereq: senior standing in E.T. A year-long course: 4 credits per semester; an IA grade (continuous course) given at the end of fi rst semester. Withdrawal from course results in loss of credit. 4/8 cr.
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ET 751 - Mechanical Engineering Technology Project
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ET 762: Illumination Engineering
3.00 Credits
University of New Hampshire-Main Campus
Radiation; spectra, wave and particle nature of light; physics of light production, light sources and circuits, luminaires; science of seeing, color theory, control of light, measurements, light and health, lighting calculations. Prereq: MATH 426, PHYS 408 or equivalent. Lab. 0/4 cr.
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ET 762 - Illumination Engineering
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ET 777: Advanced Distributed Programming Trends
3.00 Credits
University of New Hampshire-Main Campus
Distributed applications use a network or the Internet in a multi-tier architecture to distribute their presentation services, business logic and data servics. Th ese applications often access many diff erent data sources. Th e components contained in these applications typically participate in transactions and they can be shared by multiple users and multiple applications. Prereq: ET 647 or by permission. 4 cr.
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ET 777 - Advanced Distributed Programming Trends
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ET 783: Advanced Electronic Design Methods
3.00 Credits
University of New Hampshire-Main Campus
Design methods for analysis and synthesis of state-ofthe- art circuits and systems, with real-world examples. A design project will be required. Laboratory work will form an important part of the course. Prereq: intro. analog and digital design. Special fee. Lab. 0/4 cr.
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ET 783 - Advanced Electronic Design Methods
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ET 787: Artifi cial Intelligence and Expert Systems
3.00 Credits
University of New Hampshire-Main Campus
How to identify what an expert system is and what an artifi cially intelligent system would be, if AI (artifi cial intelligence) actually existed beyond theory. Course explores some of the pitfalls that have plagued the AI community, such as why parallel processing has not provided the solution to bring theory to reality. Includes history behind AI, including connections to the human brain. Students create a mini expert system. Prereq: senior standing or by permission. 4 cr.
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ET 787 - Artifi cial Intelligence and Expert Systems
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