Fall 2021 - EASC 711 G300

Directed Readings (3)

Class Number: 8144

Delivery Method: In Person

Overview

  • Course Times + Location:

    Location: TBA

  • Instructor:

    Gwenn Flowers
    gflowers@sfu.ca
    1 778 782-6638
    Office: TASC 1 Room 7237
  • Prerequisites:

    Permission of the instructor.

Description

COURSE DETAILS:

Gaussian process models and computer experiment design

Course Description:

The course will survey foundational and relevant modern literature on the topics of Gaussian process models and the design of computer experiments. Students will gain both theoretical and practical understanding of these types of models and their applications by deriving fundamental results and coding the techniques described in the literature. The techniques discussed in the course will be explored further in the final project.

Meetings: Fridays 2:30 - 4:00 PT

Students alternate choosing and leading discussion of papers.

Topics:

  • Foundations of Gaussian Process models
  • Bayesian optimization
  • Design of computer experiments
  • Use of GP models for model calibration
  • Selected applications of GP emulation/spatial statistics

Course project:

The project consists of extending the methods and techniques discussed in the course to a physical system of interest. The project may take the form of a written paper, a software package, or a hybrid medium (e.g. code repository with online documentation) and should be designed in consultation with the instructor.

Notebook:

Students will submit an electronic notebook consisting of all work done related to the required readings. This notebook should include derivations of mathematical results and code implementing techniques and examples from the readings.

Grading

  • Presentation and discussion of reading 30%
  • Course project 40%
  • Notebook 30%

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 FALL 2021

Teaching at SFU in fall 2021 will involve primarily in-person instruction, with approximately 70 to 80 per cent of classes in person/on campus, with safety plans in place.  Whether your course will be in-person or through remote methods 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 fall 2021 term.