Undergraduate Course, Department of Computer Science, University of British Columbia, 2024
Models of algorithms for dimensionality reduction, nonlinear regression, classification, clustering and unsupervised learning; applications to computer graphics, computer games, bio-informatics, information retrieval, e-commerce, databases, computer vision and artificial intelligence.
Undergraduate Course, Department of Computer Science, University of British Columbia, 2023
Models of algorithms for dimensionality reduction, nonlinear regression, classification, clustering and unsupervised learning; applications to computer graphics, computer games, bio-informatics, information retrieval, e-commerce, databases, computer vision and artificial intelligence.
Undergraduate Course, Department of Computer Science, University of British Columbia, 2023
Software architecture, operating systems, and I/O architectures. Relationships between application software, operating systems, and computing hardware; critical sections, deadlock avoidance, and performance; principles and operation of disks and networks.
Undergraduate Course, Department of Computer Science, University of British Columbia, 2022
Formulation and analysis of algorithms for continuous and discrete optimization problems; linear, nonlinear, network, dynamic, and integer optimization; large-scale problems; software packages and their implementation; duality theory and sensitivity.
Undergraduate Course, Department of Computer Science, University of British Columbia, 2022
Models of algorithms for dimensionality reduction, nonlinear regression, classification, clustering and unsupervised learning; applications to computer graphics, computer games, bio-informatics, information retrieval, e-commerce, databases, computer vision and artificial intelligence.
Undergraduate Course, Department of Computer Science, University of British Columbia, 2021
Numerical techniques for basic mathematical processes involving no discretization, and their analysis. Solution of linear systems, including analysis of round-off errors; norms and condition number; introduction to iterative techniques in linear algebra, including eigenvalue problems; solution to nonlinear equations.
Undergraduate Course, Department of Computer Science, University of British Columbia, 2019
Formulation and analysis of algorithms for continuous and discrete optimization problems; linear, nonlinear, network, dynamic, and integer optimization; large-scale problems; software packages and their implementation; duality theory and sensitivity.
Undergraduate Course, Department of Computer Science, University of British Columbia, 2018
Characterizations of computability (using machines, languages and functions). Universality, equivalence and Church’s thesis. Unsolvable problems. Restricted models of computation. Finite automata, grammars and formal languages.
Undergraduate Course, Department of Computer Science, University of British Columbia, 2017
Design and analysis of basic algorithms and data structures; algorithm analysis methods, searching and sorting algorithms, basic data structures, graphs and concurrency.
Undergraduate Course, Department of Computer Science, University of British Columbia, 2017
Software architecture, operating systems, and I/O architectures. Relationships between application software, operating systems, and computing hardware; critical sections, deadlock avoidance, and performance; principles and operation of disks and networks.
Undergraduate Course, Department of Statistics, University of British Columbia, 2016
Basic notions of probability, random variables, expectation and conditional expectation, limit theorems.
Undergraduate Course, Department of Statistics, University of British Columbia, 2016
Classical, nonparametric, and robust inferences about means, variances, and analysis of variance, using computers. Emphasis on problem formulation, assumptions, and interpretation.
Undergraduate Course, Department of Computer Science, University of British Columbia, 2016
Fundamental program and computation structures. Introductory programming skills. Computation as a tool for information processing, simulation and modelling, and interacting with the world.
Undergraduate Course, Department of Computer Science, University of British Columbia, 2015
Fundamental program and computation structures. Introductory programming skills. Computation as a tool for information processing, simulation and modelling, and interacting with the world.