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Course Criteria
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3.00 Credits
09W, 10W: 10A Basic concepts of optimization are introduced as aids in systematic decision-making in engineering contexts. Deterministic optimization is developed in the form of linear and integer programming and their extensions. Probabilistic models are introduced in terms of Markov chains, queuing and inventory theory, and stochastic simulation. The course emphasizes the application of these methods to the design, planning, and operation of complex industrial and public systems. Prerequisite: Mathematics 8. Dist: TAS. Santos.
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3.00 Credits
09S, 10S: 2 This course will survey applications of engineering principles to medical diagnosis/treatment of disease, monitoring/measurement of physiological function, and rehabilitation/ replacement of body dysfunction. Case studies will be used to highlight how engineering has advanced medical practice and understanding. Examples will be drawn from bioinstrumentation, bioelectricity, biotransport, biomaterials, and biomechanics. While investigations will focus primarily on the engineering aspects of related topics, issues surrounding patient safety, public policy and regulation, animal experimentation, etc. will be discussed as appropriate. Prerequisite: Physics 13 and 14 (Physics 14 may be taken concurrently). Dist: TLA. Hoopes.
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3.00 Credits
09S, 10S: 2A This course will introduce students to the technologies used to combat biological threats to security ranging from pandemic influenza to bioterrorism. In particular, this course will explore the dual role that technology plays in both enhancing and destabilizing security. Specific technologies covered include the use of nanotechnology, synthetic biology, and mass spectrometry. The course considers questions such as: Where can technological solutions have the greatest impact When can defensive technologies have offensive applications And, how can we balance the need to regulate potentially dangerous technologies against the need for academic freedom and high tech innovation This course has no prerequisite, but enrollment is limited to 30 students. Dist: TAS. Hoyt.
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3.00 Credits
08F, 09F: 11; Laboratory A method for writing the equations for any practical circuit is defined. Fundamental theorems based on network topology and conservation laws are presented. Arbitrary networks are analyzed as combinations of two-port networks. The op-amp is studied as a powerful electronic building block. Filter theory is explored in depth, and filters are implemented as op-amp circuits. The bipolar junction transistor is treated as at two-port and applied to create the operational amplifier. The student is exposed to computer-aided design. Laboratory exercises provide an opportunity to apply theory. This course is intended for those who wish to prepare for advanced study of electrical circuits. Prerequisite: Engineering Sciences 22 and 23. Dist: TLA. Trembly.
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3.00 Credits
09W, 10W: 2A Microprocessors and microcomputers are central components in an ever-increasing number of consumer, industrial, and scientific products. This course extends the design framework developed in Engineering Sciences 31 to include these high integration parts. Students are introduced to simple and advanced microcomputers, their supporting peripheral hardware, and the hardware and software tools that aid designers in creating embedded system controllers. Laboratory projects will cover basic microprocessor behavior, bus interfaces, peripheral devices, and digital signal processing. Prerequisite: Engineering Sciences 20 and 31. Dist: TAS. McGrath.
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3.00 Credits
08F, 09F: M,Th 3:00-5:00 This course provides an introduction to VLSI (Very Large Scale Integration) systems. It starts by examining basic CMOS logic circuits and VLSI design styles, and then surveys VLSI architectures and current trends in chip design. A group design project is required in which students specify the function of a large digital system, decompose it into primitive components, lay out its physical design, and verify and debug its digital behavior. Students learn to use modern CAD (Computer-Aided Design) tools, which are essential in managing the complexity that VLSI offers. Chips designed by students are fabricated by the MOSIS fabrication service during the winter term. Students then test and evaluate their designs. Grades will not be reported until this task is completed. Prerequisite: Engineering Sciences 31. Dist: TAS. Wissel.
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3.00 Credits
09W, 10W: 12 As a successor to Engineering Sciences 20, this course covers intermediate topics in programming and software design with an emphasis on engineering applications. Students will learn software design principles and basic data structures. Topics covered will include object-oriented design, user interface design, lists, stacks, queues, binary trees, hash tables, and simulation. Students will learn techniques for developing maintainable, extensible, and understandable software. Prerequisite: Engineering Sciences 20 or Computer Science 5. Dist: TAS. Santos.
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3.00 Credits
09W, 10W: 10 This course integrates discrete mathematics with algorithms and data structures, using computer science applications to motivate the mathematics. It covers logic and proof techniques, induction, set theory, counting, asymptotics, discrete probability, graphs, and trees. Mathematics 19 is identical to Computer Science 19 and may substitute for it in any requirement. Prerequisite Engineering Sciences 20 or Computer Science 5 or advanced placement. Dist: QDS. Zomorodian.
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3.00 Credits
Not offered in the period from 08F through 10S This course provides an introduction to communication systems. The focus is on the deterministic aspects of analog and digital systems. The student is introduced to modeling and analyzing signals in the time and frequency domains. Modulation techniques are addressed as well as, sampling, multiplexing, line coding, pulse shaping. Recent developments in communication systems are briefly discussed. Prerequisite: Prior or concurrent enrollment in Engineering Sciences 22, 27 and 92 strongly recommended.
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3.00 Credits
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