Below you'll find a list of links to lecture notes and code as well as links to homework assignments, lab session materials, slack channels for asking questions, and additional reference material.

Slack Channel

Please click HERE to join the slack channel. Slack Keeps our communication organized, efficient, and fun.

Virtual BootCamp

Day 1:

Introduction to Epidemiology - Prof. Khan
Sensitivity, Specificity, PPV, NPV - Dr. Stephen

Day 2:

Bias Confound - Prof. Khan
Causal modelling versus predictive modelling - Dr. Stephen

Additional Resources

Epi papers

Python Resources

DSI-Africa Python - Dr. Gwetu & Dr. Chengeta

In-person

Lecture_01_2023 History intro - Prof. Santiago
Lecture_02 2023 - MLPs, backprop, Python - Prof. Santiago
UKZN Deep Learning course
Lecture_03 2023 - MLPs in python, regularization - Prof. Santiago
Lecture_04 2023 - Intro to CNNs - Prof. Santiago
Lab 1 -
Lab1 solutions - Dr. Mohanad
Lecture_05 2023 - CNNs + data augmentation + overview - Prof. Santiago
Lecture_06 2023 - CNNs, pretrained networks - Prof. Santiago
Lab 2 -
Lab2 solutions - Dr. Mohanad
Lecture_07 2023 - CNNs, fine-tuning and visualization - Prof. Santiago
Lecture_08 2023 - Face recognition, advanced architectures - Prof. Santiago
Lab 3 -
Lab3 solutions - Prof. Santiago
Lecture_09 2023 - VAEs, GANs - Prof. Santiago
Lecture_10 Accuracy metrics and model selection (part 1) 2022 - Prof. Santiago
Case Study - Arrythmia Classification - Prof. Mandla
DatasetLinks - Prof. Mandla
Saturday's Materials - Dr. Sandra
Lecture_12 2023 - Word embeddings, RNNs, LSTMs - Prof. Mandla


QGIS Website (for software download) - Dr. Sandra
Results and two sentinel images for the exercise (Mon, 3rd July) - Dr. Sandra
Project data (about 226GB) - Dr. Sandra
Sentinel satellite data (account registration required) - Dr. Sandra
CHRIPS precipitation data - Dr. Sandra
QGIS Website (for software download) - Dr. Sandra
Link to the paper website - Dr. Sandra
GoogleDrive folder - Dr. Sandra
Lab 4 -
Lab4 solutions - Dr. Mohanad
Lab 5 -
Lab5 solutions - Dr. Mohanad
Lecture_14 2023 - Transformers (cont.) - Prof. Santiago