Data Science Applications in Agriculture
This page contains an outline of the topics, content, and assignments for the course.
Note that this schedule will be updated as the course progresses, with all changes documented here.
| Week | Date | Topic | LEC | LAB | DISC |
|---|---|---|---|---|---|
| 1 | 8/24 | Data Science in Agriculture | 🖥️ | ||
| 2 | 8/31 | Version Control Systems, Naming Conventions & FAIR Principles | 🖥️ | 🖥️ | |
| 3 | 9/7 | Cloud Computing, APIs & Hardware, Data Governance & Data Lineage | Labor day | 🖥️ | 🖥️ |
| 4 | 9/14 | ML and AI Basics, package management, model serving, licensing & data usage | 🖥️ | 🖥️ | |
| 5 | 9/21 | Individual project, project plan, data cleaning, performance metrics | 🖥️ | ||
| 6 | 9/28 | Individual project, train/test split, memory limits | 🖥️ | ||
| 7 | 10/5 | Individual project poster presentation - Team management | 🖥️ | 🖥️ | |
| 8 | 10/12 | Individual project final test | Fall break | Fall break | Test link |
| 9 | 10/19 | Team project - Project planning | 🖥️ | Farm visit | |
| 10 | 10/26 | Team project | 🖥️ | ||
| 11 | 11/2 | Team project | 🖥️ | ||
| 12 | 11/9 | Team project | 🖥️ | ||
| 13 | 11/16 | Team project | 🖥️ | ||
| 14 | 11/23 | Team project | 🖥️ | ||
| 15 | 11/30 | Project presentation | 🖥️ |