Homepage für 02.132.6110 Seminar: Fortgeschrittene statistische Methoden II in WiSe 22/23 an der JGU.
This page contains an outline of the topics, content, and assignments for the semester. Note that this schedule will be updated as the semester progresses, with all changes documented here.
Week | Date | Topic | Prepare | Slides | AE | Lab | HW | Exam | Project |
---|---|---|---|---|---|---|---|---|---|
1 | Wed, Jan 5 | Lab 0 - Meet + greet | 🖥️ | 💻 | |||||
Thu, Jan 6 | Welcome to STA 210! | 📖 | 🖥️ | 📋 | |||||
2 | Mon, Jan 10 | Lab 1 - Meet the toolkit | 🖥️ | 💻 | |||||
Tue, Jan 11 | Simple linear regression (SLR) | 📖 | 🖥️ | ||||||
Thu, Jan 13 | SLR: Model fitting in R with tidymodels | 🖥️ | 📋 | ||||||
Fri, Jan 14 | Released: HW 5 | ✍️ | |||||||
Due: Lab 1 | 💻 🗝️ | ||||||||
3 | Mon, Jan 17 | Martin Luther King, Jr. Day | |||||||
Tue, Jan 18 | SLR: Prediction + model evaluation | 📖 | 🖥️ | 📋 | |||||
Thu, Jan 20 | SLR: Simulation-based inference | 🖥️ | |||||||
Fri, Jan 21 | Released: HW 1 | ✍️ | |||||||
4 | Mon, Jan 24 | Lab 2 - College scorecard | 🖥️ | 💻 | |||||
Tue, Jan 25 | SLR: Mathematical models for inference | 📖 | 🖥️ | ||||||
Thu, Jan 27 | SLR: Model diagnostics | 🖥️ | 📋 | ||||||
Fri, Jan 28 | Due: HW 1 + Lab 2 | 💻 🗝️ | ✍️ 🗝️ | ||||||
5 | Mon, Jan 31 | Lab 3 - Coffee ratings | 🖥️ | 💻 | |||||
Tue, Feb 1 | Multiple linear regression (MLR) | 📖 | 🖥️ | ||||||
Thu, Feb 3 | Exam 1 review | 🖥️ | 📋 | ||||||
Fri, Feb 4 | Released: Exam 1 | ✅ | |||||||
Due: Lab 3 | 💻 🗝️ | ||||||||
6 | Mon, Feb 7 | No lab: Work on Exam 1 | |||||||
Due: Exam 1 | ✅ | ||||||||
Tue, Feb 8 | MLR: Types of predictors | 📖 | 🖥️ | ||||||
Thu, Feb 10 | MLR: Model comparison | 🖥️ | |||||||
Fri, Feb 11 | Released: HW 2 | ✍️ | |||||||
7 | Mon, Feb 14 | Lab: Project topic ideas | 📂 | ||||||
Tue, Feb 15 | MLR: Feature engineering | 📖 | 🖥️ | 📋 | |||||
Thu, Feb 17 | MLR: Feature engineering | 🖥️ | |||||||
Fri, Feb 18 | Due: HW 2 + Project topic ideas | ✍️ 🗝️ | 📂 | ||||||
8 | Mon, Feb 21 | Lab 4: The Office | 💻 | ||||||
Tue, Feb 22 | MLR: Cross validation | 📖 | 🖥️ | 📋 | |||||
Thu, Feb 24 | Exam 2 review | 🖥️ | 📋 | ||||||
Fri, Feb 25 | Released: Exam 2 | ✅ | |||||||
Due: Lab 4 | 💻 🗝️ | ||||||||
9 | Mon, Feb 28 | No lab: Work on Exam 2 | |||||||
Due: Exam 2 | ✅ | ||||||||
Tue, Mar 1 | MLR: Inference | 📖 | 🖥️ | 📋 | |||||
Thu, Mar 3 | MLR: Inference conditions + multicollinearity | 🖥️ | |||||||
Mon, Mar 7 | Spring break | ||||||||
Tue, Mar 8 | Spring break | ||||||||
Thu, Mar 10 | Spring break | ||||||||
10 | Mon, Mar 14 | Lab: Work on project proposals | 📂 | ||||||
Tue, Mar 15 | Logistic regression (LR) | 📖 | 🖥️ | 📋 | |||||
Thu, Mar 17 | Probabilities, odds, and odds ratios | 🖥️ | |||||||
Fri, Mar 18 | Due: Project proposals | 📂 | |||||||
Released: HW 3 | ✍️ | ||||||||
11 | Mon, Mar 21 | Lab 5: General Social Survey | 💻 | ||||||
Tue, Mar 22 | LR: Prediction / classification | 📖 | 🖥️ | ||||||
Thu, Mar 24 | LR: Model comparison | 🖥️ | 📋 | ||||||
Fri, Mar 25 | Due: HW 3 + Lab 5 | 💻 🗝️ | ✍️ 🗝️ | ||||||
12 | Mon, Mar 28 | Lab: Work on project drafts | 📂 | ||||||
Tue, Mar 29 | LR: Inference + conditions | 📖 | 🖥️ | ||||||
Thu, Mar 31 | Multinomial Logistic Regression (MultiLR) | 🖥️ | |||||||
Fri, Apr 1 | Released: HW 4 | ✍️ | |||||||
13 | Mon, Apr 4 | Lab 6: Why Many Americans Don’t Vote | 💻 | ||||||
Tue, Apr 5 | MultiLR: Prediction + inferential models | 📖 | 🖥️ | ||||||
Thu, Apr 7 | MultiLR: Predictive models | 🖥️ | 📋 | ||||||
Fri, Apr 8 | Due: Lab 6 | 💻 🗝️ | |||||||
Sun, Apr 10 | Due: Project drafts | 📂 | |||||||
14 | Mon, Apr 11 | Lab: Project peer review of drafts | 📂 | ||||||
Tue, Apr 12 | MultiLR: Predictive models (cont.) | 📖 | 🖥️ | ||||||
Due: HW 4 | ✍️ 🗝️ | ||||||||
Thu, Apr 14 | Exam 3 review | 🖥️ | 📋 | ||||||
Due: Peer review | 📂 | ||||||||
Fri, Apr 15 | Released: Exam 3 | ✅ | |||||||
15 | Mon, Apr 18 | No lab: Work on Exam 3 | |||||||
Due: Exam 3 | ✅ | ||||||||
Tue, Apr 19 | Wrap-up | 📖 | 🖥️ | 📋 | |||||
Due: HW 5 | ✍️ | ||||||||
16 | Mon, Apr 25 | Due: Project write-up | 📂 | ||||||
Thu, Apr 28 | Due: Video presentation + repo | 📂 | |||||||
Sat, Apr 30 | Due: Video comments | 📂 |