1 |
Introduction to Course |
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2 |
Decision Analysis 1 |
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3 |
Decision Analysis 2, Linear Regression |
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4 |
Predictive Modeling, Data Collection |
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5 |
Logistic Regression, MLE |
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6 |
Evaluation |
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7 |
Instance-based Models 1 - kNN |
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8 |
Instance-based Models 2 - Trees and Rules |
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9 |
Homework 2 - Trees and Rules |
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10 |
Ensemble Models |
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11 |
PCA, LDA |
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12 |
Unsupervised Learning |
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13 |
Neural Networks |
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14 |
Homework 2 - Trees and Rules |
Assignment due |
15 |
Review |
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16 |
Survival Analysis |
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Midterm |
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17 |
Statistical Learning Theory |
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18 |
Model Construction Schemas 1 |
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19 |
Model Construction Schemas 2 |
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20 |
Preprocessing Algorithms 1 |
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21 |
Preprocessing Algorithms 2 |
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22 |
Analysis of Problems, Complexity |
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23 |
Search Algorithms |
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24 |
Bioinformatics 1 (Hypothesis Generation, Sequence Alignment) |
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25 |
Bioinformatics 2 (Phylogenetic Trees, Haplotype Tagging) |
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26 |
Student Project Presentation 1 |
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27 |
Student Project Presentation 2 |
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