Applied Statistical Computing
11:40am–12:55pm
CHANDLER CHA 402
Morningside
Seat data provenance: Directory as of August 23, 2026 at 4:00 AM
Description
Corequisites: An introductory course in statistic (STAT UN1101 is recommended). Corequisites: An introductory course in statistic (STAT UN1101 is recommended). This course is an introduction to R programming. After learning basic programming component, such as defining variables and vectors, and learning different data structures in R, students will, via project-based assignments, study more advanced topics, such as conditionals, modular programming, and data visualization. Students will also learn the fundamental concepts in computational complexity, and will practice writing reports based on their data analyses
Reviews
Course experience
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Instructor quality
n=17, 2024–2026
Aggregated across every course Alex Pijyan has taught.
Teaching quality
4.6 / 5
Grading fairness
No signal
Workload
No signal
Difficulty
2.3 / 5 · Easy
Overall sentiment
Positive
In your week
Where it meets
Flat map — motion reduced
Workload and grading
- Grading
- Not published
- Format
- Not published
- Credits
- 3 credits
Reported workload
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