We have the following certificate programs under Atmospheric Science:
Must already have a SAC.
ATMS 1 + ATMS 2 + 2 electives + 2 research projects
Suggested Electives: ASTR 1 Introduction to Astronomy, CHEM 1 Chemistry, CS 1 Introduction to Computer Science, ECT 1 Introduction to Electronics, ESCI 1 Introduction to Engineering Science, GEO 1 Introduction to Geology, HYDR 1 Introduction to Hydrology, MATH 1 Mathematics, OCN 1 Introduction to Oceanography, PHYS 1 Physics
Must already have an ATPC.
Any 6 Atmospheric Science Learning Projects (ATMS 10 - 24) + 2 Electives + 2 Research Projects + Design a Learning Project for Others
Lesson 1: Atmospheric chemistry. Lesson 2: Thermodynamics of dry air. Lesson 3: Water vapor. Lesson 4: Pressure. Lesson 5: Wind. Lesson 6: Atmospheric flows. Lesson 7: Air masses. Lesson 8: Fronts and other boundaries. Lesson 9: Storms. Lesson 10: Climate.
Lesson 1: The weather station. Lesson 2: Analysis of surface charts. Lesson 3: Analysis of upper air charts. Lesson 4: The SKEW-T. Lesson 5: Forecast models. Lesson 6: Data acquisition. Lesson 7: Data analysis. Lesson 8: Error analysis. Lesson 9: Atmospheric modeling. Lesson 10: Atmospheric data on the web
Lesson 1: Vector algebra. Lesson 2: Vector analysis. Lesson 3: Curvilinear coordinates. Lesson 4: Tensor analysis. Lesson 5: Infinite series. Lesson 6: Fourier analysis. Lesson 7: Complex analysis. Lesson 8: Differential equations. Lesson 9: Orthogonality. Lesson 10: Special functions.
Lesson 1: Review of Mathematica. Lesson 2: Numbers in Mathematica. Lesson 3: Algebra in Mathematica. Lesson 4: Calculus in Mathematica. Lesson 5: Differential Equations. Lesson 6: Transform techniques. Lesson 7: List processing. Lesson 8: Graphical processing. Lesson 9: Statistics. Lesson 10: Mathematica programming techniques.
Lesson 1: Atmospheric composition. Lesson 2: Atmospheric transport. Lesson 3: Geochemical cycles. Lesson 4: The greenhouse effect. Lesson 5: Aerosols. Lesson 6: Chemical kinetics. Lesson 7: Stratospheric chemistry. Lesson 8: Tropospheric chemistry. Lesson 9: Air pollution. Lesson 10: Acid rain.
Lesson 1: Review of atomspehric thermodynamics. Lesson 2: Atmospheric composition. Lesson 3: The first law of thermodynamics. Lesson 4: The second law of thermodynamics. Lesson 5: Heat transfer. Lesson 6: Water and phase transitions. Lesson 7: Moist air. Lesson 8: Vertical stability. Lesson 9: Thermodynamic diagrams. Lesson 10: Cloud processes.
Lesson 1: Review of meteorological analysis. Lesson 2: Meteorological observations. Lesson 3: Atmospheric circulations. Lesson 4: Atmospheric kinematics. Lesson 5: Deeper analysis of vertical soundings. Lesson 6: Aspects of fluid flows. Lesson 7: Isentropic analysis. Lesson 8: Frontal detection. Lesson 9: Mesoscale analysis. Lesson 10: Storms.
Lesson 1: Review of forecasting. Lesson 2: Forecasting boundaries. Lesson 3: Atmospheric waves. Lesson 4: Forecasting atmospheric motion. Lesson 5: Jets. Lesson 6: Barotropic systems. Lesson 7: Baroclinic systems. Lesson 8: Thunderstorms. Lesson 9: Winter weather. Lesson 10: Tropical weather.
Lesson 1: Review of atmospheric dynamics. Lesson 2: Nonlinear dynamics. Lesson 3: Conservation laws in the atmosphere. Lesson 4: The Navier-Stokes equation. Lesson 5: Circulation and vorticity. Lesson 6: Boundary layer flow. Lesson 7: Synoptic-scale flow. Lesson 8: Atmospheric waves. Lesson 9: Mesoscale flows. Lesson 10: Microscale flows and turbulence.
Lesson 1: Review of data acquisition. Lesson 2: Sensors. Lesson 3: Signals. Lesson 4: Digital aqcuisition equipment. Lesson 5: Analog electronics. Lesson 6: Digital electronics. Lesson 7: Digital acquisition software. Lesson 8: Performance characteristics. Lesson 9: Measurement error. Lesson 10: Calibration.
Lesson 1: Review of data analysis. Lesson 2: Error analysis. Lesson 3: Propagation of error. Lesson 5: Statistical analysis of error. Lesson 6: The normal distribution. Lesson 7: Other probability distributions. Lesson 8: Parameter estimation. Lesson 9: Statistical plots. Lesson 10: Fitting data to a curve.
Lesson 1: Review of modeling. Lesson 2: Boundary-value problems. Lesson 3: Diffusion. Lesson 4: Waves. Lesson 5: Vertical differencing. Lesson 6: Instability. Lesson 7: Finite differences in a sphere. Lesson 8: Spectral methods. Lesson 9: Boundary conditions. Lesson 10: Nested grids.
Lesson 1: Review of climatology. Lesson 2: Analysis of climate data. Lesson 3: Climate models. Lesson 4: Microclimate. Lesson 5: Energy balance models. Lesson 6: Radiation. Lesson 7: Convection. Lesson 8: The oceans. Lesson 9: Coupled climate models. Lesson 10: Model evaluation.
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