The Summer 2022 Math Crash Course has concluded. Thank you to everyone who attended and we look forward to hosting this again next year!

When: June 13th – August 12th, 2022
Where: Virtual
For: STEM Graduate Students and Researchers
Hosted by the Imaging Science Student Council
Registration is open from April 18th to May 31st 2022

What is this?

The Math Crash Course hosted by the Imaging Science Student Council is an intensive 9-week summer program designed to introduce incoming Imaging Science students to many of the math concepts they’ll encounter during their first-year courses. These courses include:

  • BME 570: Mathematics of Imaging Science
  • ESE 520: Probability and Stochastic Processes
  • ESE 589: Biological Imaging Technology
  • ESE 5932: Computational Methods for Imaging Science

Concepts covered in this crash course will be tailored toward becoming familiar with the mathematical concepts. Therefore, complete mastery of these skills is not expected due to the 9-week time constraint. This crash course is divided into the following three sections:

  • Calculus | 6 weeks | June 13th – July 22nd, 2022
  • Linear Algebra | 6 weeks | June 13th – July 22nd, 2022
  • Signals and Systems | 3 weeks | July 25th – August 12th, 2022

Disclaimer: In a typical university setting, these concepts would be taught over the course of many semesters. For this reason, the goal of the crash course is familiarity with these concepts and not mastery!

Course Expectations
  1. These courses will not be graded.
  2. Our goal is exposure, not mastery.
  3. Work together whenever doing so is helpful.
  4. Don’t hesitate to ask one another and your tutors for help.

When is this?

The math crash course is a 9-week summer program that will begin on June 13th and will follow the schedule below:

  • Calculus: June 13th – July 22nd, 2022
  • Linear Algebra: June 13th – July 22nd, 2022
  • Signals and Systems: July 25th – August 12th, 2022

You may choose to register for all three sections or select only the sections that are most relevant to you.

How will this be taught?

The course will follow a self-study approach with textbooks, problem sets, and materials posted online and curated by current Imaging Science PhD students.

Tutoring sessions will be held 1-2 times per week through Discord and students will be encouraged to bring questions to these sessions. If no questions are brought to the session, then we will work through practice problems.

Independent tutoring sessions can be scheduled with our tutors for more individual assistance depending on tutor availability.

Communication between students and tutors will be through Discord. We also encourage the formation of study groups using Discord.

Is this course right for me?

Making the decision to register for the math crash course is entirely up to you. We have provided the following self-assessments for each of the sections to allow you to determine if you are prepared for the concepts that will be appearing in your imaging science courses. The course is designed to cover introduction-level material so no math background is required.

Who can I contact if I have questions?

Please do not hesitate to reach out to the math crash course organizers with any questions! They can be reached through email: imsci.wustl.mathbc@gmail.com

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