A new undergraduate computer arithmetic software laboratory

An undergraduate computer engineering laboratory that supports a one-quarter computer arithmetic course is described. This course is required for the computer engineering degree and is taken as a technical option by many students in electrical engineering and computer science. The features of this state-of-the-art laboratory include a local area network of computers, remote access via the campus network, electronic mail, online documentation, and automatic program submittal, grading, and plagiarism detection. >

[1]  Ken Rauch Math chips: how they work , 1987 .

[2]  K. J. Ottenstein An algorithmic approach to the detection and prevention of plagiarism , 1976, SGCS.

[3]  Jack E. Volder The CORDIC Trigonometric Computing Technique , 1959, IRE Trans. Electron. Comput..

[4]  William J. Barnett Implementation of a Computer Engineering Program: Some Fundamental Questions and a Curriculum , 1982, IEEE Transactions on Education.

[5]  Yongmin Kim,et al.  A New Project-Oriented Computer Engineerng Course in Digital Electronics and Computer Design , 1986, IEEE Transactions on Education.

[6]  S. K. Robinson,et al.  An empirical approach for detecting program similarity and plagiarism within a university programming environment , 1987 .

[7]  Glen G. Langdon,et al.  The IEEE Computer Society Model Program in Computer Science and Engineering , 1984, Computer.

[8]  John R. Glover,et al.  Integrating Hardware and Software in a Computer Engineering Laboratory , 1981, IEEE Transactions on Education.

[9]  Jan B. Hext,et al.  An automatic grading scheme for simple programming exercises , 1969, Commun. ACM.

[10]  Hal Berghel,et al.  Measurements of program similarity in identical task environments , 1984, SIGP.

[11]  Trevor Mudge A Course Sequence in Microprocessor-Based Digital Systems Design , 1981, IEEE Transactions on Education.

[12]  Ann-Marie Lancaster,et al.  A plagiarism detection system , 1981, SIGCSE '81.

[13]  K. Rauch Math chips: How they work: Augmenting microprocessors, they speed up math operations while giving systems designers a variety of performance, cost, and integration options , 1987, IEEE Spectrum.

[14]  Jack E. Volder,et al.  The CORDIC computing technique , 1899, IRE-AIEE-ACM '59 (Western).