DO NOT RELY ON THIS ROUGH DRAFT.
An official version will be posted by Tu 1/19/27.
Teachers
| Name | Office Hours | Email (please ask most questions in person) |
| Gillett, John (Teaching Faculty) | ___, ___, ___ in Morgridge 4508 | jgillett@wisc.edu |
| ___, ___ (TA) | ___, ___ in Morgridge ___ | ___@wisc.edu |
Class Times
| LEC 479-001: TuTh ___-___ in Morgridge ___ |
Course Description
Solve real problems in regular collaboration with an industry
client; work as a team to manage a project timeline and client
expectations; rapidly prototype and iterate on reproducible
end-to-end analyses; produce and present a reproducible,
value-driven hand-off package; leverage industry-standard tooling
including AI coding agents, git, quarto, formatters, linters,
project dependency managers, automated testing, and containers for
reproduction, collaboration, and sharing; refine broad questions
into carefully-scoped statistical and data science tasks; uphold
professional standards of data security, project management,
personal productivity, and ethics; enhance oral and written
communication skills to support synchronous and asynchronous client
interactions.
Learning Outcomes
After completing this course, a successful student will be able to:
Requisites
Instructor Consent
Designations and Attributes
Level: Advanced
L&S Credit Type: L&S Liberal Arts and Science
Core Gen Ed: Natural Science and Wellness
Credit Information
This course is 3-credits. The class meets for two 75-minute
in-person lectures each week and carries the expectation that
students will work on course learning activities (readings,
quizzes, homeworks, studying, etc.) for about 3 hours out of
the classroom for every lecture period.
Instructional Mode
Classroom instruction
Regular and Substantive Student-Instructor
Interaction
The regular and substantive student-instructor interaction
requirement is met through in-person lectures, regular weekly office
hours, and homework, exam, and project feedback from teacher and TA.
Online materials
Course materials including online quizzes are posted in the
schedule (linked above).
Canvas is used
to collect homework and as a gradebook.
Textbook
| There is no required textbook. |
Optional Reference Books and Videos
| ... |
Computing
A laptop with uv and an
editor of your choice
(e.g. VS Code)
installed is required in class.
In case of trouble with your laptop, UW's InfoLabs offer loaner laptops.
Grades
Grades are based on ≈ 100 points allocated to these tasks:
We will assign grades according to the percentage scale, A = [92,100], AB = [88,92), B = [82,88), BC = [78,82), C = [70,78), D = [60,70), F = [0,60) (92% of points ⇒ A); and according to the percentile scale A = 60, AB = 40, B = 20, BC = 8, C = 4, D = 2, F = 0 (which yields 40% A grades, 20% AB, 20% B, 12% BC, 4% C, 2% D, 2% F). Your grade will be the higher of these two grades.
If you anticipate religious or other conflicts with course requirements, or if you require accommodation due to disability, you must notify me during the first three weeks of class. Think of a good policy on late work and non-participation of a student in his or her group, starting from "You may not make up missed quizzes, homework, or exams, except in the rare case of a documented, serious problem beyond your control."
How to Succeed in This Course
The successful student will attend lectures; submit quizzes,
homeworks, and project components on time; attend exams
well-prepared; and ask questions when things are unclear.