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Master’s in Data-Enabled Computational Engineering and Science

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Master’s in Data-Enabled Computational Engineering and Science

Courses

Courses

The courses below, made up of engineering, applied math, and other offerings, can be used to fulfill the DECES degree requirements. Courses are further separated into individual fields of emphasis. The core courses are taken by most students (depending on academic background). 

For the most up to date and authoritative information, please consult Banner and Courses@Brown.

Engineering Courses

Core Courses
Math Methods in Engineering and Physics II (ENGN2020)
Continuum Mechanics (ENGN2210)
Computation
Computational Methods in Structural Mechanics (ENGN2340)
Numerical Methods for Engineers (ENGN2840)
Isogeometric Methods in Computational Mechanics (ENGN2912N)
Atomistic Modeling of Materials (ENGN2930)
Data Science
Pattern Recognition and Machine Learning (ENGN2520)
Solid Mechanics
Advanced Mechanics of Solids (ENGN1750)
Linear Elasticity (ENGN2240)
Mechanics of Solids (ENGN2220)
Plasticity (ENGN2290/AM237)
Fracture Mechanics (ENGN2380)
Fluids Mechanics
Fluid Mechanics I (ENGN2810/APMA2410)
Fluid Mechanics II (ENGN2820/APMA2420)
Materials Science
Thermodynamics of Materials (ENGN2410)
Kinetic Processes and Mechanisms in Materials Science (ENGN2420)
Deformation Behavior of Materials (ENGN2430)
Crystal Structures and Crystallography (ENGN2490A)
Chemical Engineering
Chemical Kinetics and Reactor Engineering (ENGN2750)
Catalyst Design and Atomistic Reaction Engineering (ENGN2770)
Chemically Reacting Flow (ENGN2910Q)

Applied Math Courses

Advanced Undergraduate
Introduction to Numerical Optimization (APMA1160)
Computational Probability and Statistics (APMA1690)
Information Theory (APMA1710)
Recent Applications of Probability and Statistics (APMA1740)
Wavelets and Applications (APMA1940Y)
Theory
Real Analysis (APMA2110)
Theory of Probability I (APMA2630)
Hilbert Spaces and Their Applications (APMA2120)
Partial Differential Equations (APMA2230, 2240)
Theory of Probability II (APMA2640)
Computation
Numerical Solution of PDEs I (APMA2550)
Numerical Solution of PDEs II (APMA2560)
Computational Fluid Dynamics/Optimization (APMA2580A/C)
HPC/DATA
Introduction to Parallel Computing on Heterogeneous (CPU+GPU) Systems (APMA2822B)
TBD: Modeling Using Machine Learning and PDEs (APMA???)**

** This course is currently being developed in place of APMA1150 and will focus on using Machine Learning
in PDE-based modeling.
 

Other Courses

Deep Learning (CS2470)
Advanced Thermodynamics (CHEM2010)


 

 

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Providence RI 02912 401-863-1000

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