Spring 2026 - STAT 360 D100
Advanced R for Data Science (3)
Class Number: 4586
Delivery Method: In Person
Overview
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Course Times + Location:
Jan 5 – Apr 10, 2026: Thu, 10:30 a.m.–12:20 p.m.
Burnaby
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Instructor:
Haolun Shi
haoluns@sfu.ca
1 778 782-6998
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Prerequisites:
One of STAT 260 or STAT 341 and one of STAT 302, STAT 305, STAT 350, or ECON 333, all with a minimum grade of C-. CMPT 125 or CMPT 129 is also recommended.
Description
CALENDAR DESCRIPTION:
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++.
COURSE DETAILS:
Course Outline:
- 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++.
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.
Grading
- Project 40%
- Midterm Exam 25%
- Final Exam 35%
NOTES:
Above grading is subject to change
Materials
RECOMMENDED READING:
Advanced R, 2nd ed. by Hadley Wickham, Publisher CRC Press
Available online for free at https://adv-r.hadley.nz/
ISBN: 9780815384571
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
At SFU, you are expected to act honestly and responsibly in all your academic work. Cheating, plagiarism, or any other form of academic dishonesty harms your own learning, undermines the efforts of your classmates who pursue their studies honestly, and goes against the core values of the university.
To learn more about the academic disciplinary process and relevant academic supports, visit:
- SFU’s Academic Integrity Policy: S10-01 Policy
- SFU’s Academic Integrity website, which includes helpful videos and tips in plain language: Academic Integrity at SFU
RELIGIOUS ACCOMMODATION
Students with a faith background who may need accommodations during the term are encouraged to assess their needs as soon as possible and review the Multifaith religious accommodations website. The page outlines ways they begin working toward an accommodation and ensure solutions can be reached in a timely fashion.