Calendar
Introduction
- Jan 10
- Introduction & Logistics
- OH Hosted by Zhang at 2:10-3:10 PM
Learning from sequence data
- Jan 12
- Dynamic programming & sequence alignment I
- Xiuwei Zhang
- Jan 17
- No class (MLK day)
- Jan 19
- Sequence alignment II
- Xiuwei Zhang
- Jan 24
- HMM & gene/motif finding
- Xiuwei Zhang
- OH Hosted by Zhang at 2:10-3:10 PM
- Jan 26
- HMM & Profile HMM
- Xiuwei Zhang
- Jan 30
- HW1 due by 11:59 PM
- Jan 31
- Deep learning for DNA/protein sequence
- Yunan Luo
- OH Hosted by Luo at 2:10-3:10 PM
Learning from high-dim data
- Feb 2
- PCA, autoencoder & VAE
- Yunan Luo
- Feb 7
- MDS, tSNE, UMAP
- Xiuwei Zhang
- OH Hosted by Zhang at 2:10-3:10 PM
- Feb 9
- Clustering I
- Xiuwei Zhang
- Feb 13
- HW2 due by 11:59 PM
- Feb 14
- Clustering II
- Xiuwei Zhang
- OH Hosted by Zhang at 2:10-3:10 PM
- Feb 16
- Clustering III
- Xiuwei Zhang
- Feb 21
- Student presentation 1-3
- OH Hosted by Zhang at 2:10-3:10 PM
- Feb 23
- Student presentation 4-6
Learning from structure data
- Feb 28
- RNA structure prediction
- Yunan Luo
- OH Hosted by Luo at 2:10-3:10 PM
- Mar 2
- Deep learning for structures (protein structure prediction)
- Yunan Luo
- Mar 6
- HW3 due by 11:59 PM
- Mar 7
- Student presentation 7-9
- OH Hosted by Luo at 2:10-3:10 PM
Learning from network data
- Mar 9
- Network basics & traditinal ML for graphs
- Yunan Luo
- Mar 14
- Network embeddings
- Yunan Luo
- OH Hosted by Luo at 2:10-3:10 PM
- Mar 16
- Student presentation 10-12
- Mar 20
- HW4 due by 11:59 PM
- Mar 21
- No class (Spring break)
- Mar 23
- No class (Spring break)
- Mar 28
- Graphical Models
- Yunan Luo
- OH Hosted by Luo at 2:10-3:10 PM
- Mar 30
- Deep learning for networks (graph neural networks)
- Yunan Luo
Student presentations
- Apr 4
- Student presentation 13-15
- OH Hosted by Luo at 2:10-3:10 PM
- Apr 6
- Student presentation 16-18
- Apr 10
- HW5 due by 11:59 PM
- Apr 11
- Student presentation 19-21
- Apr 13
- Student presentation 22-24
- Apr 18
- Student presentation 25-27
- Apr 20
- Student presentation 28-30
- Apr 25
- Student presentation 31-33