We’ll present the course Mathematics for Data Science 1 (https://courses.smp.uq.edu.au/MATH7501/ ). This course, designed as a bridging course for Masters of Data Science students, is composed of about 30% discrete maths, 20% linear algebra and 50% calculus (both single variable and multi-variable). The course was taught via video lectures, based on the course reader. You may see these in the course website. The purpose of the seminar is to present what was done with the course and to solicit discussion for how to continue with this course next year.
UQ MATH7501 - Mathematics for Data Science 1
courses.smp.uq.edu.au
Welcome to MATH7501. This is a bridging course in the Masters of Data Science program at the University of Queensland. The course is designed to bring students up to speed with mathematical concepts from discrete mathematics, calculus and elementary linear algebra - all with a view of data science, statistics and machine learning applications ...
About Teaching and learning seminars
Our teaching and learning seminars focus on innovations and projects that are underway in teaching mathematics, statistics and physics at UQ and other institutions.
We discuss the hot issues, and hear from people who are trying out new things.
Over the past 10 years many new ideas have been generated, collaborations made both within and across disciplines, and teaching grant proposals designed, submitted and received.
Students, staff and visitors to UQ are welcome to attend, and to suggest speakers and topics.