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Joyce Vogel; Dan Bouhnik – European Journal of Education, 2024
Introduction to Computer Science is traditionally the first course that all computer science and software engineering majors take. The course introduces many problem-solving techniques which can be challenging for many freshman students. In order to mitigate some of the issues of this course, we, at the Higher Education Institute, introduced a new…
Descriptors: Computer Science Education, Introductory Courses, Awards, Problem Based Learning
Burckhardt, Philipp; Nugent, Rebecca; Genovese, Christopher R. – Journal of Statistics and Data Science Education, 2021
Revisiting the seminal 2010 Nolan and Temple Lang article on the role of computing in the statistics curricula, we discuss several trends that have emerged over the last ten years. The rise of data science has coincided with a broadening audience for learning statistics and using computational packages and tools. It has also increased the need for…
Descriptors: Statistics Education, Teaching Methods, Web Based Instruction, Data Analysis
Baugh, Jeanne M. – Information Systems Education Journal, 2015
All Computer Information Systems programs require a database course for their majors. This paper describes an approach to such a course in which real world examples, both design projects and actual database application projects are incorporated throughout the semester. Students are expected to apply the traditional database concepts to actual…
Descriptors: Undergraduate Students, Computer Science Education, Information Systems, Databases
Parhami, Behrooz – Computer Science Education, 2008
We observe that recruitment efforts aimed at alleviating the shortage of skilled workforce in computer engineering must be augmented with strategies for retaining and motivating the students after they have enrolled in our educational programmes. At the University of California, Santa Barbara, we have taken a first step in this direction by…
Descriptors: First Year Seminars, College Freshmen, Internet, Academic Persistence
Skala, Helen – Collegiate Microcomputer, 1988
Outlines a course in artificial intelligence for liberal arts students that has no programing prerequisites. Topics and projects included in the course are described, including problem solving; natural language; expert systems; image understanding, or character recognition; and robotic systems. (28 references) (Author/LRW)
Descriptors: Artificial Intelligence, Character Recognition, Computer Science Education, Course Content
West, Jerry; And Others – 1985
This report provides information on the current status of mathematics, science, vocational education, and computer science in the secondary schools in the United States. The introductory chapter briefly discusses the decline in mathematics and science education and possible solutions to stop the decline. An overview is also presented of course…
Descriptors: Computer Science Education, Course Evaluation, Curriculum Design, Declining Enrollment

Bright, George W.; Clark, W. Bruce – Journal of Computers in Mathematics and Science Teaching, 1986
Describes a compulsory computer education course for pre-service elementary and secondary teachers at the University of Calgary, Canada. Reviews the course content, laboratory topics, and provides an evaluative overview of the program's first year of implementation. (ML)
Descriptors: Computer Literacy, Computer Science Education, Course Descriptions, Elementary School Teachers
Cimikowski, Linda; Cook, Joan – 1996
Foundations of Instructional Computing is a required one-semester, two credit course in the Education Department of Montana State University (Bozeman). The major objective of the course is to help preservice teachers develop use of computer technology that is confident, thoughtful, and integrated into their individual teaching philosophy and…
Descriptors: Computer Science Education, Computer Software Evaluation, Computer Uses in Education, Cooperative Learning