Schedule (Spring 2025)

1. 
   

   W1 (02/19): Regression (M03)

   
   
   
   
   
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     Model, Linear Regression (MSE, Gradient Descent)

     
     
   
   
   
   


2. 
   

   W2 (02/26): Classification (M04)

   
   
   
   
   
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     Logistic Regression (Cross-Entropy)

     
     
   
   
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     Support Vector Machine

     
     
   
   
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     Evaluation

     
     
   
   
   
   


3. 
   

   W3 (03/05): Tree (M06)

   
   
   
   
   
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     Tree and Random Forest

     
     
   
   
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     Entropy, Information Gain, Gini, Chi, Variance

     
     
   
   
   
   


4. 
   

   W4 (03/12): Clustering (M07)

   
   
   
   
   
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     K-means

     
     
   
   
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     Hierarchical Clustering

     
     
   
   
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     DBScan

     
     
   
   
   
   


5. 
   

   W5 (03/19): Problematic Data (M08, M09)

   
   
   
   
   
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     Dimension Reduction, PCA

     
     
   
   
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     Problematic Data

     
     
   
   
   
   


6. 
   

   W6 (03/26): Neural Network

   
   
   
   
   
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     Bascis (N01)

     
     
   
   
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     Convolution (N02)

     
     
   
   
   
   


7. 
   

   (04/02): No class.

   
   


8. 
   

   W7 (04/09): Recurrent NN (N03)

   
   
   
   
   
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     Static Analysis: Windows PE file and image analysis (D01)

     
     
   
   
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     Understanding LSTM Networks (N03-1

     
     
   
   
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     Dynamic Analysis: Malware call and sequence analysis (D02)

     
     
   
   
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     Text classification with an RNN (N03-2)

     
     
   
   
   
   


9. 
   

   W8 (04/16): Midterm (take home exam, due before 04/23.)

   
   


10. 
    

    W9 (04/23): Latent Space

    
    
    
    
    
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      Auto-Encoder (N04

      
      
    
    
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      Activation Function (N05

      
      
    
    
    
    


11. 
    

    W10 (04/30) Language Model (N06)

    
    
    
    
    
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      word2vec (cbow, skip-gram), fastText (supervised, unsupervised)

      
      
    
    
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      Transformer, Self-Attention, BERT

      
      
    
    
    
    


12. 
    

    W11 (05/07): Language Model

    
    
    
    
    
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      Basic text classification (N06-2), Classify text with BERT (N06-3)

      
      
    
    
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      HuggingFace NLP Course (N06-4)

      
      
      
      
      
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        1. Transformer Models, 2. Using Transformer, 3. Fine-Tuning a Pretrained Model

        
        
      
      
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        7-3. Fine-tuning a masked language model

        
        
      
      
      
      
    
    
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      Packet Analysis (D03)

      
      
    
    
    
    


13. 
    

    W12 (05/14): Language Model and Others

    
    
    
    
    
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      Transfer learning & fine-tuning

      
      
    
    
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      LoRA, Parameter-Efficient Fine-Tuning (PEFT)

      
      
    
    
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      Classification on imbalanced data

      
      
    
    
    
    


14. 
    

    (05/21): No class. University Anniversary.

    
    


15. 
    

    W13 (05/28): Large Language Model

    
    
    
    
    
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      NLP Course, Diffusion Cours

      
      
    
    
    
    


16. 
    

    W14 (06/04): Anomaly Detection

    
    
    
    
    
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      Variational Autoencoder (N04-2)

      
      
    
    
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      V. Chandola, A. Banerjee and V. Kumar, "Anomaly Detection: A Survey," ACM Computing Survey, vol. 41, no. 3, July 2009.

      
      
    
    
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      Novelty and Outlier Detection

      
      
      
      
      
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        One-class SVM

        
        
      
      
      
      
    
    
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      Self-Organized Map

      
      
    
    
    
    


17. 
    

    W15 (06/11): Project Dem

    
    


18. 
    

    W16 (06/18): Final (take home exam, due 06/18 at 23:59)

    
    

TBA

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   Homework (50%): programming exercises and essays. You MUST see the ACADEMIC INTEGRITY section before taking this class.

  
  


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  Project (10%): student needs to write an analysis program on a security-related data set to demonstrate their understanding of security issues and data analysis skill. A proposal, a report, a presentation, and GitHub codes are required.

  
  


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  Midterm (20%)

  
  


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  Final (20%)

  
  

TBA