Coursework
Penn State’s distributed efforts in catalysis provide students with a wide variety of available coursework, allowing students to tailor their graduate experience to their strengths and interests. This provides rich educational experiences from across Penn State and allows students and their advisers to design a curriculum that will best suit the student’s research and developmental needs. Coursework guidelines and options vary across departments, so individual curricula are developed within the framework of an individual department’s requirements. Below is a partial list of catalysis and catalysis-related courses available at Penn State.
Potential Coursework in Catalysis
Course descriptions can be found in the Penn State Graduate Bulletin.
ChE 510: Characterization of Material Interfaces
ChE 536: Heterogeneous Catalysis
ChE 573: Environmental Organic Chemistry
ChE 597: Kinetics of Catalytic Processes
CHEM 511: Chemical Nanoscience
CHEM 516: Inorganic Chemistry
CHEM 518: Symmetry and Spectroscopy in Inorganic Chemistry
CHEM 519: Materials Chemistry
CHEM 524: Electroanalytical Chemistry
CHEM 525: Analytical Separations
CHEM 526: Spectroscopic Analysis
CHEM 535: Physical Organic Chemistry
CHEM 539: Biochemical Reaction Mechanisms
CHEM 545: Statistical Thermodynamics
FSC 504: Problems in Fuels Engineering
CE 556: Environmental Electrochemistry
CE 574: Reactive Transport Processes in Porous Media
EME 521: Mathematical Modeling of Energy and Mineral Systems
EME 570: Catalytic Materials
EME 531: Thermodynamics of Energy and Mineral Systems
MATSE 501: Thermodynamics of Materials
MATSE 504: Solid State Materials
MATSE 514: Characterization of Materials
ME 512: Heat Transfer – Conduction
ME 515: Two-Phase Heat Transfer
ME 521: Foundations of Fluid Mechanics I
PNG 520: Thermodynamics of Hydrocarbon Fluids
STAT 500: Applied Statistics
STAT 501: Regression Methods
STAT 502: Analysis of Variance and Design of Experiments
STAT 503: Design of Experiments
STAT 505: Applied Multivariate Statistical Analysis
STAT 511: Regression Analysis and Modeling
STAT 515: Stochastic Processes and Monte Carlo Methods
