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Skip to content Skip to search Skip to footer Imaging Science Open Menu Back Close Menu Search for: Search Close Search Imaging Sciences PathwayImaging Sciences Pathway RecipientsRecipients Recipients: 2022-2024 Recipients: 2021-2023 Recipients: 2020-2022 Recipients: 2019-2022 Spectra ISP RetreatISP Retreat 2024 ISP Retreat 2023 ISP Retreat 2022 ISP Retreat 2016 ISP Retreat Student CouncilStudent Council About Us Events Contact Us Math Crash CourseMath Crash Course Registration Frequently Asked Questions Math Crash Course 2024Math Crash Course 2024 Meet the Team! Math Crash Course 2023Math Crash Course 2023 Meet the Team! Frequently Asked Questions Math Crash Course 2022 Faculty Coffee HourFaculty Coffee Hour Dr. Janine Bijsterbosch Dr. Matthew Lew Dr. Aimilia Gastounioti Open Search Math Crash Course 2023 The Summer Math Crash Course is back! Registration: April 14th, 2023 (Friday) &＃8211; May 15th, 2023 (Monday) Click here to register When: June 5th (Mon) &＃8211; August 18th (Fri), 2023 Where: Hybrid* (on Zoom and in-person, location TBA) *Students will be able to participate fully remotely and all tutoring sessions will be accessible via zoom. For: This crash course is targeted to Imaging Science Graduate Students and affiliated students, and researchers (McKelvey School of Engineering, Radiology). However, all WashU graduate students and researchers are welcome to participate in the courses. Feel free to reach out to us ([email protected]) if you have any questions! Hosted by the Imaging Science Student Council What is this? The Math Crash Course hosted by the Imaging Science Student Council is an intensive 11-week summer program designed to introduce incoming Imaging Science students to many of the math concepts they&＃8217;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 11-week time constraint. This crash course is divided into the following three sections: Calculus with Applications in Probability | 4 weeks | June 5th &＃8211; June 30th, 2023 Linear Algebra with Applications in Machine Learning | 5 weeks | July 3rd &＃8211; August 4th, 2023 Signals and Systems : introductory sampling and operator theory | 2 weeks | August 7th &＃8211; August 18th, 2023 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 These courses will not be graded. Our goal is exposure, not mastery. Work together whenever doing so is helpful. Don’t hesitate to ask one another and your tutors for help. When is this? The math crash course is a 11-week summer program that will begin on June 13th and will follow the schedule below: Calculus: Jun 5th &＃8211; Jun 30th, 2023 Linear Algebra: Jul 3rd &＃8211; Aug 4th, 2023 Signals and Systems: Aug 7th &＃8211; Aug 18th, 2023 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: [email protected] Math Crash Course Registration Frequently Asked Questions Math Crash Course 2024 Math Crash Course 2023 Meet the Team! Frequently Asked Questions Math Crash Course 2022 ©2024 Washington University in St. Louis