CV
About myself
Student familiar with academic materials, passionate with learning, and interested in researching topics intersecting mathematics and computer science. Motivated in guiding students comprehend materials through their education.
Related Courses
Here, I have compiled lists of selected courses (and texts) in which I take during college.
Selected Courses in Mathematics
| Class Name | Textbook |
|---|---|
AMS720 Probability Theory |
Patrick Billingsley, Probability and Measure |
653 Stochastic Differential Equations (Notes, Problem Sets) |
Bernt Øksendal, Stochastic Differential Equations: An Introduction with Applications |
645 Riemannian Geometry (Course Notes in Progress) |
Do Carmo, Riemannian Geometry John Lee, Riemannian Manifolds: Introduction to Curvature |
637 Functional Analysis (Course Notes from Instructor) |
Martin Schechter, Principles of Functional Analysis |
633 Harmonic Analysis (Course Notes from Instructor) |
Christopher D. Sogge, Fourier Integral in Classical Analysis |
631 Partial Differential Equations I (Course Notes in Progress) |
Lawrence C. Evans, Partial Differential Equations |
AMS480 Numerical Linear Algebra (Notes) |
Lloyd N. Trefethen and David Bau, Numerical Linear Algebra |
417 Partial Differential Equations (Notes) |
Richard Haberman, Applied Partial Differential Equations Sandro Salsa, Partial Differential Equations in Action From Modelling to Theory |
416 Honors Real Analysis II (Review Notes) |
Elias M. Stein, Real Analysis: Measure Theory, Integration, and Hilbert Spaces |
415 Honors Real Analysis I (Course Notes from Instructor) |
Walter Rudin, Principles of Mathematical Analysis |
412 Honors Abstract Algebra II |
Paolo Aluffi, Algebra: Chapter 0 |
411 Honors Abstract Algebra I |
Paolo Aluffi, Algebra: Chapter 0 |
407 Honors Complex Analysis |
Elias M. Stein and Rami Shakarichi, Complex Analysis |
AMS361 Introduction to Optimization (Course Notes in Progress) |
The instructor is in the process of writing his textbook. |
304 Number Theory (Review Notes) |
George E. Andrews, Number Theory |
302 Ordinary Differential Equations (Notes, PILOT Website) |
William E. Boyce, Elementary Differential Equations and Boundary Value Problems |
240 (Intercession) Cryptography Through the Ages |
No textbook |
212 Honors Linear Algebra |
Sheldon Axler, Linear Algebra Done Right |
AMS211 Probability and Statistics for Life Sciences (Problem Sets) |
David Diez, Open IntroStatistics |
202 Vector Calculus (Course Notes from Instructor) |
Jerrold E. Marsden, Vector Calculus |
Selected Courses in Computer Science
| Class Name |
|---|
482 Machine Learning: Deep Learning (Notes) |
475 Machine Learning (Notes) |
433 Introduction to Algorithms (Problem Sets) |
230 Mathematical Foundation for Computer Science |
229 Computer System Fundamentals (Notes) |
226 Data Structures |
220 Intermediate Programming (C, C++) |
208 (Intercession) Machine Imagination |
207 (Intercession) Algebraic Statistics for Causal Inference |
133 (Intercession) Bootcamp Python |
112 Gateway Java (JAVA) |
104 Computer Ethics |