Courses
Here is a list of the courses I have taken during my time at UofT:
First Year:
- MAT133Y1: Calculus and Linear Algebra for Commerce
- ECO101H1: Principles of Microeconomics
- ECO102H1: Principles of Macroeconomics
- EAS120Y1: Modern Japanese I
- MAT223H1: Linear Algebra I (A+, 95%)
First Year Summer:
- MAT137Y1: Calculus with Proofs (A+, 97%)
- MAT224H1: Linear Algebra II (A+, 96%)
- PSY100H1: Introduction to Psychology (CR/NCR)
Second Year:
- MAT237Y1: Multivariable Calculus with Proofs (A+, 90%)
- MAT244H1: Introduction to Ordinary Differential Equations (A+, 99%)
- MAT246H1: Concepts in Abstract Mathematics
- ECO206Y1: Microeconomic Theory
- STA257H1: Probability and Statistics I (A+, 100%)
- STA261H1: Probability and Statistics II
- CSC108H1: Introduction to Computer Programming (A, 88%)
- CSC148H1: Introduction to Computer Science (A, 85%)
- PHL245H1: Modern Symbolic Logic (CR/NCR)
Second Year Summer:
Third Year (Tentative List):
- APM346H1: Partial Differential Equations (A, 87%)
- STA302H1: Methods of Data Analysis I (A, 86%)
- STA303H1: Methods of Data Analysis II (A+, 90%)
- STA305H1: Design and Analysis of Experiments (A, 87%)
- STA347H1: Probability
- STA355H1: Theory of Statistical Practice (A+, 90%)
- STA437H1: Methods for Multivariate Data
- STA447H1: Stochastic Processes (A+, 90%)
- STA457H1: Time Series Analysis
- ECO358H1: Financial Economics I
Fourth Year:
- ECO375H1: Applied Econometrics I
- MAT301H1: Groups and Symmetries
- MAT334H1: Complex Variables
- STA314H1: Statistical Methods for Machine Learning I
- STA410H1: Statistical Computation
- STA414H1: Statistical Methods for Machine Learning II
- STA442H1: Methods of Applied Statistics
- STA452H1: Mathematical Statistics I
- STA453: Mathematical Statistics II
- STA492H1: Seminar in Statistical Sciences
- STA497H1Y: Readings in Statistics (advisor: Jun Young Park)