Generating a problem that addresses multiple course learning objectives can be a challenging, but worthwhile exercise for a professor. These types of problems are particularly useful late in a course to help students tie together seemingly disparate concepts to solve an integrated problem that requires them to review concepts mastered throughout…

Advances in the biological sciences necessitate the training of chemical engineers to translate these fundamental discoveries into applications that will benefit society. Accordingly, Tulane University revised its core chemical engineering curriculum in 2005 to include a new introductory course in bioengineering and biotechnology for sophomores.…

Discusses strategies for teaching problem-solving techniques during an engineering design course in the third year of a four-year degree program. Describes the content of six problem-solving curricular modules, course organization, evaluation and assessment, and results. (Contains 28 references.) (WRM)

Describes a graduate or senior elective course combining fundamentals of surface phenomena with practical problem-solving structured around a series of case problems. Discusses topics covered and their development through acquiring new knowledge applied to the case problem, practical calculations of solutions, and applications to additional…

Five years ago, an introductory chemistry course for chemists and chemical engineers was redesigned to stress the scientific method, problem-solving, and reasoning skills. Describes: (1) changes made in the course; (2) impacts on student achievement; and (3) student ratings of the course. (JN)

Describes a course designed to expose neophytes to methodology used in chemical process industries to evaluate commercial feasibility of proposed projects. Previously acquired disciplines are integrated to facilitate process synthesis, gain appreciation of nature of industrial projects and industrial viewpoint in managing them, and to become adept…

Describes a course on artificial intelligence (AI) in process engineering taught at Columbia University to chemical engineering students, using an AI methodology known as Knowledge-Based Expert Systems (KBES). Provides a description of the course, the lecture topics, and a synopsis of some of the student projects. (TW)