Lecture 01
Attendance is expected
Opportunity to work on course assignments with TA support
Labs will begin in Week 2 (September 7th)
Will be posted on Canvas (Announcements tool), be sure to check canvas regularly
This course is assessed 100% on your coursework (there is no exam). We will be assessing you based on the following assignments,
| Assignment | Type | Value | n | Assigned |
|---|---|---|---|---|
| Homeworks | Team | 50% | ~6 | ~ Every other week |
| Midterms | Individual | 40% | 2 | ~ Week 6 and 14 |
| Project | Team | 10% | 1 | ~ Week 10 |
Only work that is clearly assigned as team work should be completed collaboratively (Homeworks + Project).
Individual assignments (Midterms) must be completed individually, you may not directly share or discuss answers / code with anyone other than the myself and the TAs.
On Homeworks you should not directly share answers / code with other teams, however you are welcome to discuss the problems in general and ask for advice.
We are aware that a huge volume of code is available on the web, and many tasks may have solutions posted.
Unless explicitly stated otherwise, this course’s policy is that you may make use of any online resources (e.g. Google, StackOverflow, etc.) but you must explicitly cite where you obtained any code you directly use or use as inspiration in your solution(s).
Any recycled code that is discovered and is not explicitly cited will be treated as plagiarism, regardless of source.
The same applies to the use of LLM like ChatGPT or GitHub Copilot - you are welcome to make use of these tools as the basis for your solutions but you must cite the tool when using it.
To uphold the Duke Community Standard:
- I will not lie, cheat, or steal in my academic endeavors;
- I will conduct myself honorably in all my endeavors; and
- I will act if the Standard is compromised.
Browser based, departmental RStudio instance(s)
Requires Duke VPN or on campus connection to access
Provides consistency in hardware and software environments
Local R installations are fine but we will not guarantee support
If This site can’t provide a secure connection change https to http in the url.
If This site can’t be reached make sure you are on a Duke network and are not use an alternative DNS service.
Anything more exotic please reach out for help.
If working locally you should make sure that your environment meets the following requirements:
latest R (4.3.1)
latest RStudio (2023.06.2+561)
working git installation
ability to create ssh keys (for GitHub authentication)
All R packages updated to their latest version from CRAN
We will be using an organization specifically to this course https://github.com/sta523-fa23
All assignments will be distributed and collected via GitHub
All of your work and your membership (enrollment) in the organization is private
We will be distributing a survey this week to collection your account names
Create a GitHub account if you don’t have one
Complete the course survey (you will receive before next Monday)
make sure you can login in to the Department’s RStudio server https://rstudio.stat.duke.edu
We have seats available
Enrollment survey posted at
Complete as soon as possible, permission numbers will be issued by the beginning of next week
Sta 523 - Fall 2023