From d12a75c519e5b68dadb94864eda1b4f785c1d69a Mon Sep 17 00:00:00 2001 From: kkutten1 Date: Tue, 1 Sep 2020 09:30:48 -0400 Subject: [PATCH] Update labSyllabus.md --- labSyllabus.md | 35 +---------------------------------- 1 file changed, 1 insertion(+), 34 deletions(-) diff --git a/labSyllabus.md b/labSyllabus.md index bb9e253..b3d432a 100644 --- a/labSyllabus.md +++ b/labSyllabus.md @@ -1,38 +1,5 @@ # Lab syllabus - -1. Introduction to Python - 1. Installing python - 2. Chosing an IDE - 3. Jupyter notebooks - 4. Importing libraries - 5. Basic arthmetic - 6. Basic data import - 7. Basic markdown - 8. Basic git and github - 9. Project: Cloning a github repo, creating a jupyeter notebook, adding it to version control, reading in a dataset, performing a basic manipulation, commiting changes to git, pushing changes to github. -2. Tour of programming in python - 1. Control flow - 2. Data structures - 3. Creating functions - 4. OOP concepts in python - 5. text processing - 6. Project: write a basic prediction function using thresholding and MRIcloud values. -3. NumPy and matplotlib - 1. Plotting in python - 2. Arrays and mathematical data structures in python - 3. Project: creating an 3D array of MRIcloud imaging data. Performing a simple statistical summary across one dimension of the array. Plotting the result. -4. Pandas - 1. Data manipulation and cleaning - 2. Project: reading in MRICloud text data; putting it into a pandas dataframe. Performing data wrangling on the datarfame. Creating numerical summaries and exploratory plots. -5. Pytorch, Scipy - 1. Regression, linear and generalized linear models in python - 2. Setting up pytorch - 3. Pip and conda. - 4. Project: prediction Alzheimer's disease status using the ADNI database. -6. Lab on running deep networks in python - 1. Project: convoluational neural network for lesion segmentation. -7. Lab on running deep networks and evaluation - 1. Project: evaluation of a NN algorithm for "Early Prediction of the Impending Onset of Septic Shock in Patients with Sepsis." +[Link to Syllabus on Blackboard (Login Required)](https://blackboard.jhu.edu/webapps/blackboard/content/listContent.jsp?course_id=_215105_1&content_id=_8169015_1&mode=reset)