In this series of talks, we will discuss basic mathematical modeling, classical and recent topics related to Chemical Reaction Network (CRN) theory. Chemical reaction networks depict a biological system as a graph with 1. nodes (complexes) created by a combination of variables (constituent species) and 2. directed edges (reactions) as . We can model the dynamics of a reaction network using various of mathematical models including ordinary differential equations, partial differential equations, continuous-time Markov processes and stochastic partial differential equations. We will discuss deterministic models for reaction networks in the first talk, as well as major results from the deterministic reaction network literature.