We showcase our successful project of injecting high performance computing (HPC) into the traditional computer science curriculum at Southeastern Oklahoma State University. We incorporated a three-semester sequence of parallel programming courses, with the third course focusing on a research-level mathematical project that was executed on OU's supercomputer. Emphasis was placed on utilizing Open MPI and CUDA libraries along with parallel algorithm analysis and file I/O optimization. We recruited students with varied CS backgrounds for the program, some with only CS-1 in their portfolios. These courses are currently being followed with a more hardware-oriented course this fall, which will be profiled in the talk. We will discuss our approach to making this a successful sequence of courses and divulge many of the tips and tricks we have learned from our efforts.