B.S. in Data Science & Analytics (DSE364)

Course Outcomes

CO
COGNITIVE ABILITIES
COURSE OUTCOMES
CO1
REMEMBERING
Recall fundamental concepts, linguistics basics, and NLP pipeline components.
CO2
UNDERSTANDING
Explain text preprocessing, feature extraction, and statistical & deep learning models for NLP.
Implement NLP tasks such as tokenization, POS tagging, sentiment analysis, and text classification.
Compare traditional machine learning and deep learning approaches for NLP applications.
Evaluate NLP models using precision, recall, F1-score, BLEU, and perplexity metrics.
Design and develop end-to-end NLP solutions for real-world applications such as chatbots, translation, and information retrieval.