The function of the engineering profession is to manipulate materials, energy, and information, thereby creating benefit for humankind. To do this successfully, engineers must have a knowledge of nature that goes beyond mere theory—knowledge that is traditionally gained in educational laboratories. Over the years, however, the nature of these laboratories has changed. This paper describes the history of some of these changes and explores in some depth a few of the major factors influencing laboratories today. In particular, the paper considers the lack of coherent learning objectives for laboratories and how this lack has limited the effectiveness of laboratories and hampered meaningful research in the area. A list of fundamental objectives is presented along with suggestions for possible future research.

http://web.stanford.edu/group/asee/wikiupload/6/69/Feisel_LabsInEngEd.pdf

The Role of the Laboratory in Undergraduate Engineering Education

Efficient manipulation of Boolean functions is an important component of many computer-aided design tasks This paper describes a package for manipulating Boolean functions based on the reduced, ordered, binary decision diagram (ROBDD) representation The package is based on an efficient implementation of the if-then-else (ITE) operator A hash table is used to maintain a strong canonical form in the ROBDD, and memory use is improved by merging the hash table and the ROBDD into a hybrid data structure A memory function for the recursive ITE algorithm is implemented using a hash-based cache to decrease memory use Memory function efficiency is improved by using rules that detect when equivalent functions are computed The usefulness of the package is enhanced by an automatic and low-cost scheme for recycling memory Experimental results are given to demonstrate why various implementation trade-offs were made These results indicate that the package described here is significantly faster and more memory-efficient than other ROBDD implementations described in the literature

/pdf/efficient-implementation-of-a-bdd-package-2nfh0fbmva.pdf

Efficient implementation of a BDD package

Cours d'economie politique

Computing and communication technology has had a significant impact on the engineering education system. This technology has improved online and collaborative learning. Besides that, it improves the students learning experiences. One of the distinguishing elements of engineering education is the laboratory requirement. In this paper, we discuss the current trends and key issues in virtual laboratories-simulation environment laboratories and remote laboratories via the Internet. © 2008 Wiley Periodicals, Inc. Comput Appl Eng Educ 17: 108–118, 2009; Published online in Wiley InterScience (www.interscience.wiley.com); DOI 10.1002/cae20186

Virtual laboratories in engineering education: The simulation lab and remote lab

In this paper, we propose a novel methodology for statistical SRAM design and analysis. It relies on an efficient form of importance sampling, mixture importance sampling. The method is comprehensive, computationally efficient and the results are in excellent agreement with those obtained via standard Monte Carlo techniques. All this comes at significant gains in speed and accuracy, with speedup of more than 100/spl times/ compared to regular Monte Carlo. To the best of our knowledge, this is the first time such a methodology is applied to the analysis of SRAM designs.

/pdf/mixture-importance-sampling-and-its-application-to-the-i8j6h1an62.pdf

Mixture importance sampling and its application to the analysis of SRAM designs in the presence of rare failure events

The BOLD (Boulder-Optimal Logic Design) system is a set of software tools that optimally transform an arbitrary combinational logic description into a standard cell, gate array, or complex CMOS gate technology. The design philosophy and structure of BOLD are summarized, and the various software tools and algorithms that comprise the BOLD system are described. The input to BOLD is either a behavioral circuit description or a Logical Interchange Format (LIF) file. The output is a netlist consisting of gates from a user supplied library or a netlist of CMOS complex gates. The philosophy of BOLD is contrasted with that of other available synthesis programs (most notably MIS and YLE), and the output of each is compared on a small set of examples. >

http://ieeexplore.ieee.org/iel2/232/1788/00047144.pdf

BOLD: The Boulder Optimal Logic Design system

The efficiency of several variance reduction techniques (in particular, importance sampling, stratified sampling, and control variates) are studied with respect to their application in estimating circuit yields. This study suggests that one essentially has to have a good approximation of the region of acceptability in order to achieve significant variance reduction. Further, all the methods considered are based, either explicitly or implicity, on the use of a model. The control variate method appears to be more practical for implementation in a general purpose statistical circuit analysis program. Stratified sampling is the most simple to implement, but yields only very modest reductions in the variance of the yield estimator. Lastly, importance sampling is very useful when there are few parameters and the yield is very high or very low; however, a good practical technique for its implementation, in general, has not been found.

A Study of Variance Reduction Techniques for Estimating Circuit Yields

This work considers the simultaneous design in both magnitude and group-delay of digital transfer functions on the basis of multiple criterion optimization. Both causal IIR filters and nonlinear phase FIR filters are studied. Examples of the optimal tradeoff filters, both FIR filters and IIR filters, are presented and their characteristics are analyzed.

Simultaneous design in both magnitude and group-delay of IIR and FIR filters based on multiple criterion optimization

We present the rationale, implementation and performance features of a virtual lab environment for an electronic circuits course. The primary purpose of the tool is to provide an environment that mimics some of the failure modes of a real lab, which aids the student in learning debugging techniques. The tool is implemented as a Java application.

Virtual circuit laboratory

We present the rationale, implementation and performance features of a virtual lab environment for an electronic circuits course. The primary purpose of the tool is to aid the student in learning debugging techniques by providing an environment that emulates some of the failure modes of a real lab. The tool is implemented as a Java application.



Index Terms—Introductory circuits, technology-enhanced learning environments, and virtual laboratories.

Virtual Circuit Laboratory

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