In this talk we introduce the shared and distributed parallel computer architectures and the multi-threaded and multi-tasked execution models on these architectures. We follow by listing various programming approaches applicable to multi-threading and multi-tasking. First we discuss the basics of OpenMP and MPI, as used in the Fortran and C/C++ programming languages. Then we follow with parallelization approaches in higher level languages, such as Python, R and MATLAB. We will conclude by introducing software development tools that can help with debugging and optimizing parallel programs. Supplementary Material: IntroPar19f.pdf https://utah.zoom.us/j/4111783659 meeting ID 411 178 3659 To call  in: +1 408 638 0968 +1 646 876 9923 +1 669 900 6833