TDM 10100
Assignment Schedule
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Only the best 10 of 14 projects will count towards your grade. |
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Topics are subject to change. While this is a rough sketch of the project topics, we may adjust the topics as the semester progresses. |
Project 1 - Introduction to Data Analysis using Python and R in Jupyter Lab; Project Templates for Documenting Analysis, Workflow, and Submissions; Teamwork Stucture and Learning Community Overview |
Aug 24, 2026 |
Sep 2, 2026 |
Syllabus Quiz |
Aug 24, 2026 |
Sep 4, 2026 |
Academic Integrity Quiz |
Aug 24, 2026 |
Sep 4, 2026 |
Project 2 - Responsible Usage of Generative AI in Projects; Documenting, Disclosing, and Academic Integrity in Reporting and Publishing; Best Practices for Teamwork and Collaboration on Data-Driven Projects |
Aug 31, 2026 |
Sep 9, 2026 |
Project 3 - Exploratory Data Analysis and Data Types (categorical data, numerical, strings, geo-spatial/temporal data, indexing) |
Sep 7, 2026 |
Sep 16, 2026 |
Project 4 - Data Frames in Python and R (comparing and contrasting Pandas, Polars, Tibbles, and Databases) |
Sep 14, 2026 |
Sep 23, 2026 |
Outside Event 1 |
Aug 24, 2026 |
Sep 25, 2026 |
Project 5 - Introduction to Data Cleaning and Data Wrangling in Python and R |
Sep 21, 2026 |
Sep 30, 2026 |
Project 6 - Dates, Date-Times, Timestamps, and Libraries in Python and R for Date-Time Conversions |
Sep 28, 2026 |
Oct 7, 2026 |
Project 7 - Basic Data Modeling and Overview of Statistical Models such as Regression |
Oct 5, 2026 |
Oct 16, 2026 |
Fall Break |
Oct 12, 2026 |
Oct 13, 2026 |
Project 8 - Data Grouping, Subsets, Looping through Data using Apply (sapply/tapply/lapply) Functions, and Splitting Data |
Oct 9, 2026 |
Oct 21, 2026 |
Outside Event 2 |
Aug 24, 2026 |
Oct 23, 2026 |
Project 9 - Introduction to Data Visualization, using Data for Communication, and Data in the Media |
Oct 19, 2026 |
Oct 28, 2026 |
Project 10 - Visualizing Temporal Data and Early Introduction to Time Series |
Oct 26, 2026 |
Nov 4, 2026 |
Project 11 - Assessing Data Visualizations (for accuracy, clarity, transparency, ethics, bias, with consistent adherence to best practices for data viz) |
Nov 2, 2026 |
Nov 11, 2026 |
Project 12 - Maps, Map-making, and Spatial Data in Python and R (e.g., Geopandas, ggplot, Leaflet, Plotly) |
Nov 9, 2026 |
Nov 18, 2026 |
Outside Event 3 |
Aug 24, 2026 |
Nov 20, 2026 |
Project 13 - Families of Functions Used to Cluster/Combine/Split Data, with an introduction to Lambda functions |
Nov 16, 2026 |
Dec 2, 2026 |
Project 14 - Overview, Review, Student Feedback to Team, and Summative Group Project Submissions |
Nov 23, 2026 |
Dec 9, 2026 |
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Projects are released on Mondays, and are due 1 week and 2 days later on the following Wednesday, by 11:59pm. There are a few exceptions to these dates; please refer to the schedule. Late work is not accepted. We give partial credit for work you have completed — always submit the work you have completed before the due date. If you do not submit the work you were able to get done, we will not be able to give you credit for the work you were able to complete. Always double check that the work that you submitted was uploaded properly. See here for more information. Each week, we will announce in Piazza that a project is officially released. Some projects, or parts of projects may be released in advance of the official release date. Work on projects ahead of time at your own risk. These projects are subject to change until the official release announcement in Piazza. |