This chapter presents the integrated computer system of the coke oven battery design training. The computer system for training in the design of potentially hazardous technological objects, specifically coke oven batteries, is based on a multivariant model of the design object. This model incorporates mathematical, information support, and knowledge representation modules, collectively forming an intellectual system that facilitates the development of coke oven battery design skills. On the basis of an analysis of the coking process and the coke oven battery as a design object, the objective of the coke oven battery design process with the use of a computer system is defined. In consideration of the intricate nature of the coke oven battery design process, a synthesis of knowledge representation models is proposed, encompassing a knowledge base structured as production rules, a graph model of dependencies, procedural models, a semantic network, and structured data models. This integration of models is presented as a solution to the task of coke oven battery design training. A training scenario for coke oven battery design, which takes into account criteria for training efficiency in the form of a training algorithm, is proposed. The following sections describe the characteristics of the information description, the functional structure of the proposed computer system, and the structure of the user interfaces. The research is concluded in the final section, in which the prospects of implementing an integrated computer system for coke oven battery design training and forming the terms of reference are also considered. In addition, the testing of the calculation of the material balance of the coking process in the universal mathematical package MatLab is discussed.