Course Schedule

Schedule #

Important
All deadline and due dates in this course will be at AoE time zone. For all dates used in this course, their times are 23:59 Anywhere on Earth (11:59 pm AoE). For example, a due date of “January 8” is the same as “January 8, 23:59pm AoE”. Convert the times to your local times using a Time Zone Converter.

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Week Dates Topics Homework Quizzes Readings
1 1/06 - 1/10
  • Course introduction
  • Text data preprocessing: Normalization, lemmatization, stemming, stop words removal…
  • Text Representations:
  • One hot encoding
  • BoW (frequency counting)
  • TF-IDF
Quiz 0 | Knowledge-based | out 1/06 - due 1/10
  • Chapter 1 Introduction to Natural Language Processing by Jacob Eisenstein
  • Chapter 2.1 Introduction to Natural Language Processing by Jacob Eisenstein
2 1/13 - 1/17
  • Classification Introduction
  • Naive Bayes
  • Classification Model Evaluation: accuracy, precision, recall, confusion matrix
  • HW1 out 1/17
 Quiz 1 | week 1| out 1/10 - due 1/17
  • Chapter 2.2 Introduction to Natural Language Processing by Jacob Eisenstein
3 1/20 - 1/24
  • MLK Official Institute Holiday
  • Focus on HW1
4 1/27 - 1/31
  • Logistic Regression
  • SVM
  • Perceptron
  • HW1 due 1/31
  • HW2 out 1/31
 Quiz 2 | week 2| out 1/24 - due 1/31
  • Chapters 2.3, 2.4, 2.5 Introduction to Natural Language Processing by Jacob Eisenstein.
5 2/03 - 2/07
  • SVD (Dimensionality Reduction) + Co-occurrence embeddings
  • Glove
Quiz 3 | week 4| out 1/31 - due 2/07
6 2/10 - 2/14
  • Neural Network (fully connected)
  • Word2vec: CBoW, Skip-Gram
Quiz 4 | week 5| out 2/07 - due 2/14
7 2/17 - 2/21
  • Toolbox on Classification Algorithms
  • Toolbox on Word2Vec
  • HW2 due 2/21
  • HW3 out 2/21
8 2/24 - 2/28
  • CNN
  • RNN
  • Toolbox on CNN For Text Classification
Quiz 5 | week 6 and week 7| out 2/21 - due 2/28
9 3/03 - 3/07
  • LSTM and GRU
  • LSTM + Attention (Focus on Attention mechanism)
Quiz 6 | week 8| out 2/28 - due 3/07
10 3/10 - 3/14
  • Transformer models
  • Examples: BERT(Bidirectional Encoder Representations from Transformers) and GPT (Generative Pre-trained Transformer)
  • HW3 due 3/14
  • Note: You may submit HW3 without penalty until 3/21. Please note that this falls during Spring Break, so instructional support on Ed Discussion will be limited during that time.
 Quiz 7 | week 9| out 3/07 - due 3/14
11 3/17 - 3/21
  • Spring Break
  • HW4 out 3/21
12 3/24 - 3/28
  • Sequence Labelling: POS Tagging
  • Sequen1e Labelling: NER
Quiz 8 | week 10| out 3/21 - due 3/28
13 3/31 - 4/04
  • Unsupervised Models
  • Topic Modeling (Latent Semantic Indexing, LDA (Latent Dirichlet Allocation)
Quiz 9 | week 12| out 3/28 - due 4/04
14 4/07 - 4/11
  • Introduction to Generative AI
  • Prompt Engineering Techniques
  • Retrieval Augmented Generation (RAG)
Quiz 10 | week 13 | out 4/04 - due 4/11
15 4/14 - 4/18
  • Toolbox on Exploring LLMs
  • HW4 due 4/18
  • Note: You may submit HW4 without penalty until 4/22.
 Quiz 11 | week 14 | out 4/11 - due 4/18