The Health Simulation Center SimUSanté performs training sessions for several different healthcare actors. This paper presents in detail the planning problem concerning time and resources encountered by SimUSanté, proposes 0-1 linear program modelization and the combination of greedy algorithm SimU G with a local search algorithm SimU LS, to solve it. New instances stemmed from the Curriculum-Based Courses Timetabling Problem (CB-CTT) are generated, in order to test SimU G and SimU LS on representative instances. The computational results show respectively that SimU G and SimU LS schedule on average 93.55% of the activities on the tested instances. Moreover, SimU LS obtains results with an average gap of 9.97% from the known optimal solution.