Content: INTRODUCTION TO COMPUTATIONAL MODELINGThe Importance of Computational ScienceHow Modeling Has Contributed to Advances in Science and EngineeringThe Modeling ProcessExercisesReferencesINTRODUCTION TO PROGRAMMING ENVIRONMENTSThe MATLAB Programming EnvironmentThe Python EnvironmentDETERMINISTIC LINEAR MODELSSelecting a Mathematical Representation for a Model Linear Models and Linear EquationsLinear InterpolationSystems of Linear EquationsLimitations of Linear ModelsExercisesReferencesARRAY MATHEMATICS IN MATLAB AND PYTHONIntroduction to Arrays and MatricesBrief Overview of Matrix MathematicsMatrix Operations in MATLABMatrix Operations in PythonExercisesPLOTTINGPlotting in MATLABPlotting in PythonExercisesPROBLEM SOLVINGOverviewBottle Filling ExampleTools for Program DevelopmentBottle Filling Example continuedExercises CONDITIONAL STATEMENTSRelational OperatorsLogical OperatorsConditional StatementsExercisesITERATION AND LOOPSFor LoopsWhile LoopsControl StatementsExercisesNON-LINEAR AND DYNAMIC MODELSModeling Complex SystemsSystems DynamicsModeling Physical and Social PhenomenaReferences ESTIMATING MODELS FROM EMPIRICAL DATAUsing Data to Build Forecasting ModelsFitting a Mathematical Function to DataExercisesReferences STOCHASTIC MODELSIntroductionCreating a Stochastic ModelRandom Number Generators in MATLAB and PythonA Simple Code ExampleExamples of Larger Scale Stochastic ModelsExercisesReferences FUNCTIONSMATLAB FunctionsPython FunctionsExercisesVERIFICATION, VALIDATION, AND ERRORSIntroductionErrorsVerification and ValidationExercisesReferences CAPSTONE PROJECTSIntroductionProject GoalsProject Descriptions