Spring 2023 - STAT 360 D100
Advanced R for Data Science (2)
Class Number: 5913
Delivery Method: In Person
Course Times + Location:
Jan 4 – Apr 11, 2023: Tue, 12:30–2:20 p.m.
1 778 782-4489
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. 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++.
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
Advanced R, 2nd ed. by Hadley Wickham, Publisher CRC Press
Available online for free at https://adv-r.hadley.nz/
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 email@example.com.
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.
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