The manuscript outlines the development of an undergraduate course titled "Generative Artificial Intelligence for Business," aimed at equipping students with the knowledge and skills necessary to leverage generative AI technologies in various business contexts. The course framework covers fundamental concepts of generative AI, including…

Describes a five-step set of procedures for designing and developing instruction that promotes student-teacher interaction and teacher responsiveness. The steps described address instructional content, objectives, questions, boundaries, and entry behavior. (MBR)

Discusses the role of algorithmic processes as a supplementary method for producing cost-effective and efficient instructional materials. Examines three approaches to problem solving in the context of developing training materials for the Naval Training Command: application of algorithms, quasi-algorithms, and heuristics. (EAO)

Discusses ways to integrate computers into mathematically oriented classes effectively so that advantages are obtained without increasing detrimental effects. Three sections detail use of computers as experimental tools, to implement and understand algorithms, and to solve realistic size problems. These ideas are illustrated with examples from a…

Explains a proposed block of instruction that would give students in industrial engineering, operations research, systems engineering, and applied mathematics the basic understanding required to begin more advanced courses in simulation theory or applications. (DDR)

The typical introductory programming course is not an appropriate first computer science course for many students. Initial experiences with programming are often frustrating, resulting in a low rate of successful completion, and focus on syntax rather than providing a representative picture of computer science as a discipline. The paper discusses…