Karene Chu

Karene Chu received her Ph.D. in mathematics from the University of Toronto in 2012. Since then she has been a postdoctoral fellow first at the University of Toronto/Fields Institute, and then at MIT, with research focus on knot theory. She has taught single and multi-variable calculus, and linear algebra at the University of Toronto where she received a teaching award.

Sort options

Calculus 1C: Coordinate Systems & Infinite Series (edX)

Feb 16th 2022
Calculus 1C: Coordinate Systems & Infinite Series (edX)
Course Auditing
Categories
Effort
Languages
Master the calculus of curves and coordinate systems; approximate functions with polynomials and infinite series. Part 3 of 3. How did Newton describe the orbits of the planets? To do this, he created calculus. But he used a different coordinate system more appropriate for planetary motion. We [...]
10
Average: 10 ( 3 votes )

Fundamentals of Statistics (edX)

Jan 22nd 2022
Fundamentals of Statistics (edX)
Course Auditing
Categories
Effort
Languages
Develop a deep understanding of the principles that underpin statistical inference: estimation, hypothesis testing and prediction. Statistics is the science of turning data into insights and ultimately decisions. Behind recent advances in machine learning, data science and artificial intelligence are fundamental statistical principles. The purpose of this class is [...]
0
No votes yet

Calculus 1B: Integration (edX)

Sep 8th 2021
Calculus 1B: Integration (edX)
Course Auditing
Categories
Effort
Languages
Discover the integral---what it is and how to compute it. See how to use calculus to model real world phenomena. Part 2 of 3. How long should the handle of your spoon be so that your fingers do not burn while mixing chocolate fondue? Can you find a shape [...]
0
No votes yet

Machine Learning with Python: from Linear Models to Deep Learning (edX)

Sep 6th 2021
Machine Learning with Python: from Linear Models to Deep Learning (edX)
Course Auditing
Categories
Effort
Languages
An in-depth introduction to the field of machine learning, from linear models to deep learning and reinforcement learning, through hands-on Python projects. Machine learning methods are commonly used across engineering and sciences, from computer systems to physics. Moreover, commercial sites such as search engines, recommender systems (e.g., Netflix, Amazon), [...]
0
No votes yet

Data Analysis: Statistical Modeling and Computation in Applications (edX)

Aug 30th 2021
Data Analysis: Statistical Modeling and Computation in Applications (edX)
Course Auditing
Categories
Effort
Languages
A hands-on introduction to the interplay between statistics and computation for the analysis of real data. -- Part of the MITx MicroMasters program in Statistics and Data Science. Data science requires multi-disciplinary skills ranging from mathematics, statistics, machine learning, problem solving to programming, visualization, and communication skills. In this [...]
0
No votes yet