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filled instructor-holes #6

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20 changes: 10 additions & 10 deletions neuro-data-science.md
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Expand Up @@ -71,7 +71,7 @@ The first week, outlined below, can be conceptually divided into three sections:
### Installation time and troubleshooting: 1 hour

### Git and GitHub
#### 3 hours, Dr. Jean-Baptiste Poline (Valerie Hayot-Sasson)
#### 3 hours, Valerie Hayot-Sasson, Liza Levitis

- Know your shell
- Git: understand the model
Expand All @@ -84,7 +84,7 @@ The first week, outlined below, can be conceptually divided into three sections:
## Tuesday May 7th

### Standards for project management and organization
#### 3 hours, Elizabeth DuPre (?)
#### 3 hours, Elizabeth Dupre, JB Poline

- General project organization (e.g., Project TIER, DRESS protocol)
- Brain Imaging Data Structure (BIDS)
Expand All @@ -94,7 +94,7 @@ The first week, outlined below, can be conceptually divided into three sections:
### Lunch: 1 hour

### Containers
#### 3 hours, Greg Kiar (Liza Llevitas)
#### 3 hours, Liza Levitis, Agha Karakuzu (Backup: Thomas Funck)
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#### 3 hours, Liza Levitis, Agha Karakuzu (Backup: Thomas Funck)
#### 3 hours, Liza Levitis, Agah Karakuzu (Backup: Thomas Funck)


- Containers versus virtual machines
- Docker and singularity
Expand All @@ -109,7 +109,7 @@ The first week, outlined below, can be conceptually divided into three sections:
## Wednesday May 8th

### Python for data analysis
#### 3 hours, Jake Vogel (Greg Kiar)
#### 3 hours, Jake Vogel, Ross Markello (Backup: Thomas Funck)

- Why Python : a software glue
- Python key data structures
Expand All @@ -119,9 +119,9 @@ The first week, outlined below, can be conceptually divided into three sections:

### Lunch: 1 hour

### Kirstie Whitaker Talk: 1 hour

### Kirstie Whitaker Binder Lesson: 2 hours
### 3 hours reserved for External: Luke Chang/Eshin Jolly (would be great). (Backup: Felix Faure-Lacroix)
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### 3 hours reserved for External: Luke Chang/Eshin Jolly (would be great). (Backup: Felix Faure-Lacroix)
### 3 hours reserved for External: Luke Chang/Eshin Jolly (would be great). (Backup: Felix-Antoine Fortin)

### External Talk: 1 hour
### External Lesson: 2 hours

### Assessment 2: 0.5 hours

Expand All @@ -130,7 +130,7 @@ The first week, outlined below, can be conceptually divided into three sections:
## Thursday May 9th

### Exploring and visualizing data
#### 3 hours, Elizabeth DuPre (Pierre Bellec)
#### 3 hours, Elizabeth DuPre & Pierre Bellec

-- Getting to know your dataset:
-- Visualizing data (basics with scatterplots, histograms, etc)
Expand All @@ -144,7 +144,7 @@ The first week, outlined below, can be conceptually divided into three sections:
### Lunch: 1 hour

### Introduction to Machine learning
#### 4 hours, Jake Vogel (Estefany Suarez)
#### 4 hours, Jake Vogel & Estefany Suarez (Backups: Arna Ghosh, Peer Herholz, Estrid Jakobsen)

- Prediction and prediction error
- Feature selection
Expand All @@ -158,7 +158,7 @@ The first week, outlined below, can be conceptually divided into three sections:
## Friday May 10th

### Introduction to Deep Learning
#### 3 hours, Jessica Thompson (?)
#### 3 hours, Jessica Thompson, (Jessica's choice) (Backup: Thomas Funck)

### Lunch: 1 hour

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