Fall 2022 - DATA 180 E100
Undergraduate Seminar in Data Science (1)
Class Number: 4628
Delivery Method: In Person
Overview
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Course Times + Location:
Sep 7 – Dec 6, 2022: Tue, 6:30–8:20 p.m.
Burnaby
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Instructor:
Jiguo Cao
jca76@sfu.ca
1 778 782-7600
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Prerequisites:
Major or honours in Data Science or permission of the program director.
Description
CALENDAR DESCRIPTION:
A seminar primarily for students undertaking a major or an honours program in Data Science. Students with credit for DATA (or MSSC) 480 cannot receive credit for DATA (or MSSC) 180.
COURSE DETAILS:
Course Outline:
This seminar brings speakers from off-campus to speak to students about professional experiences and careers related to the practice of Statistics. The course is normally taken in the first semester of the student's undergraduate program.
Grading
- Attendance/Participation 30%
- Reports 40%
- Oral Presentation 30%
NOTES:
Evaluation is based on attendance at the seminars, participation in the seminars, and the submission of a brief report on each seminar.
Above grading is subject to change.
Materials
REQUIRED READING NOTES:
Your personalized Course Material list, including digital and physical textbooks, are available through the SFU Bookstore website by simply entering your Computing ID at: shop.sfu.ca/course-materials/my-personalized-course-materials.
Department Undergraduate Notes:
Students with Disabilities:
Students requiring accommodations as a result of disability must contact the Centre for Accessible Learning 778-782-3112 or caladmin@sfu.ca.
Tutor Requests:
Students looking for a tutor should visit https://www.sfu.ca/stat-actsci/all-students/other-resources/tutoring.html. We accept no responsibility for the consequences of any actions taken related to tutors.
Registrar Notes:
ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS
SFU’s Academic Integrity website 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