Fall 2025 Computer Science BC3705 section 001

NATURAL LANGUAGE PROCESSING

NATURAL LANGUAGE PROCESSI

Call Number 00820
Day & Time
Location
MW 10:10am-11:25am
405 Milbank Hall (Barnard)
Points 3
Grading Mode Standard
Approvals Required None
Instructor Smaranda Muresan
Type LECTURE
Course Description

This course provides an introduction to the field of Natural Language Processing (NLP) at an undergraduate level. We will discuss properties of human language at different levels of representation (morphology, syntax, semantics, pragmatics), and will learn how to create systems that can analyze, understand, and generate natural language. We will study machine learning methods used in NLP such as various forms of Neural networks and will focus particularly on conceptual and technical advances of frontier Large Language Models based NLP technologies (think ChatGPT) that are revolutionizing classical computational linguistics and NLP fields. We will also discuss applications such as question answering, summarization, language generation and as well as data, benchmarks and evaluation frameworks. We will discuss ethical aspects of NLP research and applications. Homework assignments will consist of programming projects in Python as well as written interpretation and analysis of the results. Class will also have a midterm and a mini final project instead of a final exam. Prerequisite(s): COMS W3134 or W3136 or W3137 (or equivalent). Background in probability/statistics and linear algebra is also required and experience with Python programming is strongly encouraged. Some previous or concurrent exposure to AI and machine learning is beneficial, but not required

Web Site Vergil
Department Computer Science @Barnard
Enrollment 0 students (65 max) as of 9:05PM Tuesday, April 1, 2025
Subject Computer Science
Number BC3705
Section 001
Division Barnard College
Section key 20253COMS3705X001