This paper describes the development and evaluation of a Computer-Aided Learning (CAL) package for a graduate course in artificial neural networks. The package has been evaluated over a period of two academic years both as an educational supplement to a conventional lecture course and also as a completely self-sufficient remotely-taught course. The course is accessed via the World-Wide-Web (WWW). The course features Java applets for animation/demonstration purposes as well as employing the MATLAB(TM) computational engine for interactive examples and assignemtns. In an effort to provide a classroom-like environment, an interactive discussion forum is provided, along with weekly lecture summaries from the conventional lecture course. Automatically marked question pools are available for self-assessment.