Coursework

Below is the list of courses I have taken in my graduate and undergraduate studies.

Courses TA'ed @ UWaterloo

• $\gamma$ AMATH/PMATH 331 - Applied Real Analysis
• $\gamma$ AMATH 353 - Partial Differential Equations
• $\gamma$ MATH 137 - Honors Calculus I
• $\gamma$ SYDE 111- Calculus I

Courses TA'ed @ UAlberta

• $\gamma$ MATH 217 - Multivariate Real Analysis I
• $\gamma$ Math 214 - Multivariate Calculus I
• $\gamma$ CMPUT 272 - Formal Systems and Logic in Computing Science

Courses taken @ Uwaterloo

• $\gamma$ AMATH 900 - Math for Deep Learning
• $\gamma$ AMATH 751 - Numerical Partial Differential Equations
• $\gamma$ AMATH 751 - Applied Functional Analysis
• $\gamma$ CO 673 - Optimization for Data Science

Math & Stat Courses taken @ UAlberta

• $\gamma$ MATH 497 - Modern Probability theory
• $\gamma$ MATH 436 - Intermediate Partial Differential Equations
• $\gamma$ MATH 432 - Intermediate Ordinary Differential Equations
• $\gamma$ MATH 417/ 514 - Honors Real Variables I
• $\gamma$ MATH 499 - Research Project
• $\gamma$ MATH 411 - Honors Complex Variables
• $\gamma$ MATH 381 - Numerical Methods I
• $\gamma$ MATH 337 - Introduction to Partial Differential Equations
• $\gamma$ MATH 324 - Number Theory
• $\gamma$ MATH 317 - Honors Advanced Calculus II
• $\gamma$ MATH 336 - Honors Ordinary Differential Equations
• $\gamma$ MATH 371 - Mathematical Modelling in the Life Sciences
• $\gamma$ MATH 328 - Algebra: Introduction to Group Theory
• $\gamma$ MATH 298 - Problem Solving Seminar
• $\gamma$ MATH 253 - Theory of Interest
• $\gamma$ MATH 241 - Geometry
• $\gamma$ MATH 217 - Honors Advanced Calculus I
• $\gamma$ MATH 227 - Honors Linear Algebra II
• $\gamma$ MATH 118 - Honors Calculus II
• $\gamma$ MATH 117 - Honors Calculus I
• $\gamma$ MATH 127 - Honors Linear Algebra I
• $\gamma$ MATH 111 - Introduction to Discrete Mathematics
• $\gamma$ STAT 378 - Applied Regression Analysis
• $\gamma$ STAT 266 - Statistics II
• $\gamma$ STAT 265 - Statistics I

Other Relevant Courses

• $\gamma$ CMPUT 466/ 566 - Machine Learning
• $\gamma$ CMPUT 367 - Intermediate Machine Learning
• $\gamma$ CMPUT 204 - Algorithms I
• $\gamma$ CMPUT 267 - Basics of Machine Learning
• $\gamma$ CMPUT 272 - Formal Systems and Logic in Computing Science
• $\gamma$ CMPUT 175 - Introduction to the Foundations of Computation II
• $\gamma$ CMPUT 174 - Introduction to the Foundations of Computation I
• $\gamma$ ECON 281 - Intermediate Microeconomics
• $\gamma$ ECON 102 - Introduction to Macroeconomics
• $\gamma$ ECON 101 - Introduction to Microeconomics
• $\gamma$ PHIL 120 - Symbolic Logic I
• $\gamma$ ASTRO 122 - Astronomy of stars/galaxy