Spring 2021 - STAT 360 D100
Advanced R for Data Science (2)
Class Number: 3408
Delivery Method: In Person
Course Times + Location:
Tu 2:30 PM – 4:20 PM
REMOTE LEARNING, Burnaby
Exam Times + Location:
Apr 27, 2021
8:30 AM – 11:30 AM
REMOTE LEARNING, Burnaby
Prerequisites:One of STAT 260 or STAT 341 and one of STAT 302, STAT 305, STAT 350, or ECON 333. CMPT 125 or CMPT 129 is also recommended. Corequisite: STAT 361.
Advanced R programming methods for data science. Tools for reproducible research. Version control. Data structures, subsetting, functions, environments, and debugging. Functional programming. Code performance: profiling, memory, integrating R and C++.
- Tools for reproducible research: RStudio, RMarkdown, version control with Git, collaborating with GitHub
- Data structures, subsetting, control flow, functions, environments, conditions.
- Functional programming.
- Object-oriented programming
- Code performance: debugging, profiling, memory, integrating R and C++.
Mode of Teaching:
- Lecture: Synchronous
- Lab: Synchronous
- Quizzes and Midterm: Synchronous; Date: TBA
- Final exam: Synchronous; date: TBA
- Remote invigilation (Zoom, or other approved software) will be used.
COURSE-LEVEL EDUCATIONAL GOALS:
With an emphasis on modern methods, this course will introduce students to tools for reproducible research (RStudio and Markdown), data handling, data cleaning, visualization, and exploratory analysis.
- bi-weekly quizzes, best 5 out of 6 50%
- project 20%
- Final Exam 30%
Above grading is subject to change
MATERIALS + SUPPLIES:
Access to high-speed internet, webcam.
R for Data Science, by Garrett Grolemund and Hadley Wickham
Available online for free at https://r4ds.had.co.nz/
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 firstname.lastname@example.org
Students looking for a Tutor should visit http://www.stat.sfu.ca/teaching/need-a-tutor-.html. We accept no responsibility for the consequences of any actions taken related to tutors.
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 2021
Teaching at SFU in spring 2021 will be conducted primarily through remote methods. There will be in-person course components in a few exceptional cases where this is fundamental to the educational goals of the course. Such course components will be clearly identified at registration, as will course components that will be “live” (synchronous) vs. at your own pace (asynchronous). Enrollment acknowledges 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. To ensure you can access all course materials, we recommend you have access to a computer with a microphone and camera, and the internet. In some cases your instructor may use Zoom or other means requiring a camera and microphone to invigilate exams. If proctoring software will be used, this will be confirmed in the first week of class.Students with hidden or visible disabilities who believe they may need class or exam accommodations, including in the current context of remote learning, are encouraged to register with the SFU Centre for Accessible Learning (email@example.com or 778-782-3112).