Fall 2019 - DATA 180 E100

Undergraduate Seminar in Data Science (1)

Class Number: 7058

Delivery Method: In Person

Overview

  • Course Times + Location:

    Tu 6:30 PM – 8:20 PM
    SWH 10041, Burnaby

  • 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 33%
  • Reports 33%
  • Participation 33%

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.

Registrar Notes:

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

ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS