Course ScheduleΒΆ
| Mon, Jun 22 | Lecture | Logistics and Control Structures | |
| Wed, Jun 24 | Lecture | File Processing | |
| Thu, Jun 25 | Section | Python Review | |
| Practice | Programming Practice 1 | Due Thu, Jul 2 | |
| Fri, Jun 26 | Lecture | Data Structures | |
| Homework | HW1 - Processing | Due Fri, Jul 3 |
| Mon, Jun 29 | Lecture | CSV Data | |
| Wed, Jul 1 | Lecture | Dataframes | |
| Thu, Jul 2 | Section | Pandas Review | |
| Practice | Programming Practice 2 | Due Thu, Jul 9 | |
| Fri, Jul 3 | No Class | Independence Day | |
| Homework | HW2 - Pokemon | Due Fri, Jul 10 |
| Mon, Jul 6 | Lecture | Groupby and Indexing | |
| Wed, Jul 8 | Lecture | Data Visualization | |
| Thu, Jul 9 | Section | Visualizations Review | |
| Fri, Jul 10 | Lecture | Data Literacy and Communications | |
| Homework | HW3 - Education | Due Fri, Jul 17 |
| Mon, Jul 13 | Lecture | Objects | |
| Wed, Jul 15 | Lecture | Inheritance | |
| Thu, Jul 16 | Section | Objects Review | |
| Fri, Jul 17 | Lecture | Graphs and Networks | |
| Homework | HW4 - Networks | Due Fri, Jul 31 |
| Mon, Jul 20 | Lecture | Data and Privacy | |
| Wed, Jul 22 | Lecture | Version Control | |
| Thu, Jul 23 | Section | Project Check-in | |
| Fri, Jul 24 | Lecture | Humanistic Computing |
| Mon, Jul 27 | Lecture | Geospatial Data | |
| Wed, Jul 29 | Lecture | Dissolve, Intersect, and Join | |
| Thu, Jul 30 | Section | Geospatial Data Review | |
| Fri, Jul 31 | Lecture | Numpy | |
| Homework | HW5 - Mapping | Due Fri, Aug 14 |
| Mon, Aug 3 | Lecture | Statistical Testing | |
| Wed, Aug 5 | Lecture | Intro to Machine Learning | |
| Thu, Aug 6 | Section | Machine Learning Review | |
| Fri, Aug 7 | Lecture | Machine Learning Evaluation |
| Mon, Aug 10 | Lecture | Convolutions | |
| Wed, Aug 12 | Lecture | Neural Networks | |
| Thu, Aug 13 | Section | Project Check-in | |
| Fri, Aug 14 | Lecture | Language Models |
| Mon, Aug 17 | Lecture | Applications I | |
| Wed, Aug 19 | Lecture | Applications II | |
| Thu, Aug 20 | Section | TA's Choice | |
| Fri, Aug 21 | Lecture | Conclusion and Next Steps |