Spring 2022 - APMA 935 G100

Analysis and Computation of Models (4)

Class Number: 3315

Delivery Method: In Person

Overview

  • Course Times + Location:

    Jan 10 – Apr 11, 2022: Tue, 2:30–4:20 p.m.
    Burnaby

    Jan 10 – Apr 11, 2022: Thu, 2:30–4:20 p.m.
    Burnaby

Description

CALENDAR DESCRIPTION:

Analysis of models from the natural and applied sciences via analytical, asymptotic and numerical studies of ordinary and partial differential equations.

COURSE DETAILS:

Analysis and Computation of Models: Mathematical Image Processing and Analysis

This course is cross-listed with ENSC 894 in the spring 2022 semester. Course instructors: Dr. Steven Ruuth (sruuth@sfu.ca) and Dr. Faisal Beg (mfbeg@ensc.sfu.ca).
 
This course will introduce students to a number of problems in image processing and describe how they can be solved using modern techniques based on the calculus of variations and partial differential equations. Topics will be selected from image restoration (e.g., de-noising, de-blurring, inpainting...), image segmentation (e.g, active contours, the Mumford Shah model of image segmentation,...) and image registration. Relevant mathematical and numerical techniques such as variational calculus and level set methods will be introduced as part of the course. 

Prerequisites: Some undergraduate differential equations and numerical analysis, or permission of the instructors. 

Grading

  • 4 assignments weighted equally 67%
  • Project 33%

NOTES:

The first day of class will be Tuesday, January 11, 2022.

Materials

REQUIRED READING:

The lectures will not follow one particular textbook. The topics presented will be selected from a variety of texts and research papers. 


Graduate Studies Notes:

Important dates and deadlines for graduate students are found here: http://www.sfu.ca/dean-gradstudies/current/important_dates/guidelines.html. The deadline to drop a course with a 100% refund is the end of week 2. The deadline to drop with no notation on your transcript is the end of week 3.

Registrar Notes:

ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS

SFU’s Academic Integrity web site http://www.sfu.ca/students/academicintegrity.html is filled with information on what is meant by academic dishonesty, where you can find resources to help with your studies and the consequences of cheating.  Check out the site for more information and videos that help explain the issues in plain English.

Each student is responsible for his or her conduct as it affects the University community.  Academic dishonesty, in whatever form, is ultimately destructive of the values of the University. Furthermore, it is unfair and discouraging to the majority of students who pursue their studies honestly. Scholarly integrity is required of all members of the University. http://www.sfu.ca/policies/gazette/student/s10-01.html

TEACHING AT SFU IN SPRING 2022

Teaching at SFU in spring 2022 will involve primarily in-person instruction, with safety plans in place.  Some courses will still be offered through remote methods, and if so, this will be clearly identified in the schedule of classes.  You will also know at enrollment whether remote course components will be “live” (synchronous) or at your own pace (asynchronous).

Enrolling in a course acknowledges that you are able to attend in whatever format is required.  You should not enroll in a course that is in-person if you are not able to return to campus, and should be aware that remote study may entail different modes of learning, interaction with your instructor, and ways of getting feedback on your work than may be the case for in-person classes.

Students with hidden or visible disabilities who may need class or exam accommodations, including in the context of remote learning, are advised to register with the SFU Centre for Accessible Learning (caladmin@sfu.ca or 778-782-3112) as early as possible in order to prepare for the spring 2022 term.