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	1/12 - 1/16	Course introduction Text data preprocessing: Normalization, lemmatization, stemming, stop words removal… Text Representations: One hot encoding BoW (frequency counting) TF-IDF	HW1 out 1/16	Quiz 0 \| Knowledge-based topics \| out 1/12 - due 1/16	Chapter 1 Introduction to Natural Language Processing by Jacob Eisenstein Chapter 2.1 Introduction to Natural Language Processing by Jacob Eisenstein
2	1/19 - 1/23	Official institute holiday – Martin Luther King, Jr. Day Classification Introduction Naive Bayes Classification Model Evaluation: accuracy, precision, recall, confusion matrix		Quiz 1 \| week 1 topics \| out 1/16 - due 1/23	Chapter 2.2 Introduction to Natural Language Processing by Jacob Eisenstein
3	1/26 - 1/30	Logistic Regression SVM Perceptron	HW1 due 1/30 HW2 out 1/30	Quiz 2 \| week 2 topics \| out 1/23 - due 1/30	Chapters 2.3, 2.4, 2.5 Introduction to Natural Language Processing by Jacob Eisenstein.
4	2/02 - 2/06	SVD (Dimensionality Reduction) + Co-occurrence embeddings Glove		Quiz 3 \| week 3 topics \| out 1/30 - due 2/06	GloVe: Global Vectors for Word Representation
5	2/09 - 2/13	Neural Network (fully connected) Word2vec: CBoW, Skip-Gram Toolbox on Classification Algorithms Toolbox on Word2Vec		Quiz 4 \| week 4 topics \| out 2/06 - due 2/13	NN Playground Interactive NN initialization; The role of a hidden layer; Back propagation numerical example; More detailed introduction; Efficient Estimation of Word Representations in Vector Space
6	2/16 - 2/20	CNN RNN Toolbox on CNN For Text Classification	HW2 due 2/20 HW3 out 2/20	Quiz 5 \| week 5 topics \| out 2/13 - due 2/20	CNN Live Demo; A guide to an efficient way to build CNN and optimize its hyper-parameters; Back Propagation in CNN; Transfer learning in CNN;
7	2/23 - 2/27	LSTM and GRU LSTM + Attention (Focus on Attention mechanism)		Quiz 6 \| week 6 topics \| out 2/20 - due 2/27
8	3/02 - 3/06	Focus on HW3		Quiz 7 \| week 7 topics \| out 2/27 - due 3/06
9	3/09 - 3/13	Transformer models Examples: BERT(Bidirectional Encoder Representations from Transformers) and GPT (Generative Pre-trained Transformer)	HW3 due 3/13 HW4 out 3/13		Attention Is All You Need; BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding;
10	3/16 - 3/20	Sequence Labelling: POS Tagging Sequence Labelling: NER		Quiz 8 \| week 9 topics \| out 3/13 - due 3/20
11	3/23 - 3/27	Spring Break
12	3/30 - 4/03	Unsupervised Models Topic Modeling (Latent Semantic Indexing, LDA (Latent Dirichlet Allocation)	HW4 due 4/03 HW5 out 4/03	Quiz 9 \| week 10 topics \| out 3/20 - due 4/03
13	04/06 - 4/10	Introduction to Generative AI Prompt Engineering Techniques Retrieval Augmented Generation (RAG) Toolbox on Exploring LLMs		Quiz 10 \| week 12 topics \| out 4/03 - due 4/10
14	4/13 - 4/17	Foundations of Agentic AI Architectures and Reasoning in Agentic AI Multi-Agent and Real World Systems		Quiz 11 \| week 13 topics \| out 4/10 - due 4/17
15	4/20 - 4/24	Toolbox on Agentic AI	HW5 due 04/24	Quiz 12 \| weeks 14 & 15 topics \| out 4/17 - due 4/24
16	4/27 - 4/28	Course and Homework Wrap-Up	Note: You may submit HW5 without penalty until 04/28