An introductory adaptive systems course for undergraduate computer science majors

Authors:
Jeffrey R. Sampson
Affiliations:
Department of Computing Science, University of Alberta, Edmonton, Canada
Venue:
SIGCSE '74 Proceedings of the fourth SIGCSE technical symposium on Computer science education
Year:
1974

Citing 5
Cited 1

Brains, machines, and mathematics (2nd ed.)

Brains, machines, and mathematics (2nd ed.)
Curriculum 68: Recommendations for academic programs in computer science: a report of the ACM curriculum committee on computer science

Communications of the ACM
Undergraduate education in computing science: some immediate problems

ACM SIGCSE Bulletin
Computation: finite and infinite machines

Computation: finite and infinite machines
Theories of abstract automata (Prentice-Hall series in automatic computation)

Theories of abstract automata (Prentice-Hall series in automatic computation)

A survey of the literature in computer science education since curriculum '68

Communications of the ACM

Quantified Score

Hi-index	0.02

Visualization

Abstract

This paper describes the development and implementation of an introductory survey course spanning topics in automata theory, biological information processing, and artificial intelligence. The course, Computing Science 464, is designed (and required) for Undergraduate honors students in the university of Alberta Computing Science Department. Normally taken in the third year of undergraduate study, the course has the following catalog description: CMPUT 464. Introduction to Adaptive Systems.3 Finite and infinite automata and their relation to formal languages; brain models and genetic systems: introduction to artificial intelligence. Prerequisite: Computing Science 314.