Math Crash Course

I’m excited to announce that we will offer the Math Crash Course for the third time this summer at WashU! The course is hosted by the Washington University Imaging Science community, and I’m grateful for their incredible support.

I founded the course and developed the original curriculum with a group of fellow students in 2022. It has been an incredible journey. We have since expanded our team of curriculum developers and tutors, and we are excited to have enhanced the curriculum and structure based on the feedback we received.

For more details and registration, visit our webpage!

Course Highlights:

• Duration: June 3rd, 2024 – August 2nd, 2024
• Format: Hybrid (Available both on Zoom and in-person, with full remote participation possible)

Program Structure:

• Linear Algebra with Applications in Machine Learning
  • Duration: 5 weeks (June 3rd – July 5th)
  • Levels: Beginner, Advanced, and Machine Learning Applications
• Calculus with Applications in Probability and Signals and Systems
  • Duration: 4 weeks (July 8th – August 2nd)
  • Levels: Beginner and Advanced (Advanced includes Signals & Systems)

Who Should Attend?

This course is primarily designed for Imaging Science graduate students, affiliated students, and researchers from McKelvey School of Engineering and Radiology. However, all WashU students and researchers are encouraged to join.

Updated Course Features:

• Simultaneous Beginner and Advanced curricula
• Flexible time commitments with recommended modules for 5, 10, and 15 hours/week
• Lecture-style tutoring sessions focusing on key concepts
• Research talks by senior students demonstrating the practical applications of mathematical principles

Feel free to contact me if you want to learn more or are interested in offering this course at your institution

This course is made possible through the McKelvey School of Engineering and the Imaging Science Community at Washu!