Discussion of the relationship between the academic computing community and the practitioner community focuses on the possible separation of software engineering as a distinct discipline from computer science. Relationships between the content of software engineering and the content of computing are examined, and implications for computer science…

Describes the Portable AI Lab, a computing environment containing artificial intelligence (AI) tools, examples, and documentation for use with university AI courses. Two modules of the lab are highlighted: the automated theorem proving module and the natural language processing module, which includes augmented transition networks. (23 references)…

Discussion of human-computer interaction (HCI) as an essential part of the design of computing systems focuses on incorporating HCI into university computing courses. HCI training needs for various career profiles are given; and an outline of the contents of the Open University postgraduate module on HCI is appended. (nine references) (LRW)

Discussion of problems in computer assisted instruction focuses on poorly written software and the role of computer programing. Use of computers without programing knowledge is discussed, and pragmatics is emphasized as the discipline needed to supplement syntax and semantics in the field of computer science. (seven references) (LRW)

Describes shortcomings of computer science/engineering education and explains a new focus on informatics. Highlights include simulation, visualization, algorithmization, design of information processing models, parallel computing, a history of informatics, informatics versus physics and mathematics, and implications for education. (51 references)…

Traces the evolution of introductory computing courses for undergraduates based on the Association for Computing Machinery (ACM) guidelines published in "Curriculum 78." Changes in the curricula are described, including the role of discrete mathematics and theory; and the need for a broader model for designing introductory courses is…

Discussion of information technology focuses on the future needs of computer science education. Information processing as an economic force is described; the relationship of information processing with other disciplines is examined; audiences for computing education are considered; and two examples of curriculum requirements implied by computing…

In the future, the requirements of industry will generate a wide range of hardware devices and software programs that will significantly alter and improve the quality of education. The driving forces behind the development of new technological devices include economics; emotional factors, e.g., the desire to develop aids for the handicapped;…

Discusses software engineering and suggests necessary elements in a software engineering curriculum. Topics addressed include the importance of theory, project-oriented education, prototyping, exploratory programing, human-computer communication, thought models, distributed systems, parallel processing, documentation, testing and quality…