Here’s your roadmap for the quarter!
- Readings are supplemental to each lecture session
- Assignments are due by 11:59 PM on the day they are due
- Class materials (slides, in-class activities, etc.) will be added on the day of class
Please note that this schedule is tentative. I want us to learn concepts, rather than have a lot of material.
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| March 31 |
Lecture 1: Introduction to R/Loading Images |
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| April 2 |
Lab 1: Intro to RStudio/Loading Images |
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| April 9 |
Notebook 1 Due |
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| April 7 |
Lecture 2: Image Operations/Filtering Images |
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| April 9 |
Lab 2: Image Operations/Filtering Images |
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| April 16 |
Notebook 2 due |
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| April 14 |
Lecture 3: Binarizing Images |
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| April 16 |
Lab 3: Binarizing Image Lab |
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| April 21 |
Lecture 4: Image Segmentation Part 1: Identifying Nuclei |
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| April 23 |
Discussion: Microscopy Pitfalls |
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| April 28 |
Notebook 3 Due |
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| April 28 |
Lab 4: Image Segmentation Part 1 |
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| April 30 |
Lecture 5: Image Segmentation Part 2: Cell Bodies |
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| May 3 |
Lab 5: Image Segmentation Part 2 |
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Review Session |
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| May 12 |
**Lecture: Introduction to Metadata and Experimental Design |
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| May 14 |
Lecture: Point Estimates and Confidence Intervals |
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| May 19 |
Lecture: Hypothesis Testing |
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| May 21 |
**Lab 7: Colocalization via Correlation |
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| May 26 |
Lecture: Point Pattern Analysis |
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| May 28 |
Lab: Point Pattern Analysis - CANCELLED |
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| June 2 |
Lab 8: Pipelines and Exploring Features |
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| June 4 |
Lab 9: Features, Dimension Reduction, and Clustering |
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| June 9 |
Lecture: Machine Learning |
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