Two linear workload models of the University of California have been developed which can be used to forecast the university's demand for faculty. Both utilize a matrix of faculty input coefficients to transform a vector of student enrollment projections into a forecast of required faculty members. The purpose of the present investigation was twofold: (1) to explore the computational feasibility of a linear workload model that predicts the demand for University of California faculty by department rather than by the currently used subject matter groups; (2) to determine whether the faculty input coefficients are sufficiently stable over time to provide meaningful forecasts. The first section of the report describes the dimensions of the departmental model, and proposes a meaningful method of aggregation. In the second section, several sets of Berkeley faculty input coefficients for the years 1963-1966 are presented, together with an analysis of the instability evident in several of them. (Author)