Focused on machine learning. Master's project was grant-funded and involved comparing various deep learning models in smart-building HVAC load forecasting predictions, and simulating large amounts of data using Energy Plus on a distributed compute cluster. Most challenging class was Operating System Internals: CSCI 509. Other noteworthy courses include Deep Learning: CSCI 581, and Computational Linguistics: CSCI 573. See transcripts below for a complete list of courses and grades.
Focused on analysis and statistics. Master's project was in Bayesian Decision Theory, which included a toy lunar lander control problem involving combining prior knowledge of various site resources with image data gathered during landing, and using the resulting posterior probability distribution to find an optimal path between various sites to traverse after landing.
I began my academic career interested in chemistry, which led me to physics. Physics led me to math, statistics, and computer science.
Course No. | Course Title | Credits | Grade |
---|---|---|---|
CSCI 247 | Computer Systems I | 5 | A |
CSCI 347 | Computer Systems II | 4 | A- |
CSCI 510 | Automata & Formal Lang Theory | 4 | A |
CSCI 590 | Graduate Seminar I | 1 | S |
CSCI 367 | Computer Networks I | 4 | A |
CSCI 573 | Computational Linguistics | 4 | A |
CSCI 590 | Graduate Seminar I | 1 | S |
CSCI 581 | Deep Learning | 4 | A |
CSCI 590 | Graduate Seminar I | 1 | S |
CSCI 692 | Research Experience | 5 | S |
CSCI 692 | Research Experience | 5 | S |
CSCI 591 | Graduate Seminar II | 2 | S |
CSCI 597 | Cloud Computing Fundamentals | 4 | A- |
CSCI 692 | Research Experience | 5 | S |
CSCI 509 | Operating System Internals | 4 | A |
CSCI 591 | Graduate Seminar II | 2 | S |
CSCI 692 | Research Experience | 5 | S |
CSCI 511 | Analysis of Algorithms | 4 | A |
CSCI 515 | Parallel Computation | 4 | A |
CSCI 591 | Graduate Seminar II | 2 | S |
Course No. | Course Title | Credits | Grade |
---|---|---|---|
MATH 541 | Probability | 4 | A |
MATH 564 | Graph Theory | 3 | B+ |
MATH 573 | Numerical Linear Algebra | 4 | A |
MATH 504 | Abstract Linear Algebra | 4 | B+ |
MATH 522 | Methods of Math Analysis II | 4 | B+ |
MATH 542 | Mathematical Statistics | 4 | A |
MATH 523 | Advanced Calc of Sevrl Varbls | 4 | A |
MATH 543 | Linear Statistical Models | 4 | A |
MATH 444 | Categorical Data Analysis | 4 | A- |
MATH 510 | Mathematical Modeling | 4 | A |
MATH 535 | Nonlinear Optimization | 4 | A |
MATH 558 | Stochastic Processes | 4 | A |
MATH 527 | Real Analysis | 4 | A |
MATH 528 | Functional Analysis | 4 | A |
Course Name | Credits |
---|---|
University Chemistry I, II, III with Laboratory | 15 |
Calculus I and II - Differential and Integral Calculus | 10 |
University Physics I, II, III with Laboratory | 15 |
Technical Writing | 4 |
Classical Mechanics | 6 |
Quantum Mechanics | 8 |
Electrodynamics | 12 |
Vector Calculus | 4 |
Applied Linear Algebra | 4 |
Fourier Techniques | 4 |
Introduction to MATLAB programming | 4 |
MATLAB programming | 2 |
Abstract Algebra | 8 |
Euclidean and Non-Euclidean Geometry | 5 |
Topology | 9 |
Real Analysis | 8 |
Complex Analysis | 5 |
Mathematical Reasoning: Proofs, Elementary Logic and Set Theory | 4 |
Seminar: History of Mathematics | 5 |
Seminar: Philosophy and Culture of Mathematics | 4 |
Tutoring Math and Science For Social Justice | 2 |
Combinatorics | 6 |
Probability Theory | 6 |
German, Beginning I, II | 8 |
Differential Equations | 4 |
Statistical Mechanics, Statistical Physics, Thermodynamics | 3 |
Functional Programming | 4 |
Formal Language Theory | 6 |
Data Structures | 4 |
Algorithms | 4 |
SQL | 4 |
Reinforcement Learning | 6 |
Bayesian Graph Theory | 6 |