Sida Wang

sidaw AT cs DOT toronto DOT edu

Those in bold are probably the most relevent ones for graduate schools . For grades see my transcript.

Spring Year 4

CSC2535H1 Advanced machine learning
CSC2541H1 Bayesian methoods in machine learning
ESC478H1 Design Project (hacking kinnect)
ESC499H1 Thesis (object recognition using capsules)
CSC401H1 Natural Language Computing
   

Fall Year 4

CSC2503H1 Computer Vision
CSC411H1 Machine Learning
CHE374H1 Engineering Economics
ECO100Y1 Introduction to Economics
ESC499H1 Thesis (object recognition using capsules)
   

Spring Year 3

CSC320H1 Introduction to Visual Computing
CSC321H1 Neural Networks
CSC365H1 Enriched Complexity & Computability
ECE344H1 OPERATING SYSTEMS
ECE356H1 LINEAR SYSTEMS AND CONTROL
ESC301Y1 ENG. SCI:OPTION SEMINAR
   

Fall Year 3

CSC418H1 Computer Graphics
ECE352H1 COMPUTER ORGANIZATION
ECE355H1 SIGNAL ANALYSIS &COMMUNICATION
ECE360H1 ELECTRONICS
ESC301Y1 ENG. SCI:OPTION SEMINAR
MAT389H1 COMPLEX ANALYSIS
   

Spring Year 2

AER201H1 ENGINEERING DESIGN
BME210H1 Molecular Chemistry
CHE218H1 Chemical Kinetics
ESC202H1 Praxis IV
PHY291H1 Quantum Mechanics
PHY292H1 Statistical Mechanics
SOC101Y1 Intro Sociology
   

Fall Year 2

STA286H1 Probability & Statistics
AER205H1 Fluid Mech & Trans Phenomena
ECE253H1 DIGITAL & COMPUTER SYSTEMS
ECE259H1 ELECTRICITY AND MAGNETISM
ESC201H1 Praxis III
MAT292H1 Calculus III
MAT293H1 Vector Calculus
PHY290H1 Vibrations and Waves
   

Spring Year 1

BME105H1 Systems Biology
CHE119H1 Thermodynamics
ECE159H1 ELECTRONIC CIRCUITS & DEVICES
ESC102H1 Praxis II
MAT185H1 LINEAR ALGEBRA
MAT195H1 CALCULUS II
PSY100H1 Intro Psychology
   

Fall Year 1

CIV102H1 STRUCTURES. & MATERIALS
CSC192H1 Computing Programming, Algrithms, and Data Structures
ESC101H1 Praxis I
MAT190H1 Matrix & Vector Algebra
MAT194H1 CALCULUS 1
PHY180H1 Classical Mechanics Physics I
PHY190H1 Relativity