Program: Undergraduate
Course Areas
Human-Centered Data Science
Catalog Description
Leveraging Text Mining, Natural Language Processing, and Computational Linguistics to address real-world textual data challenges, including document processing, keyword extraction, question answering, translation, summarization, sentiment analysis, search, recommendation, and information extraction. Each week, classes include (a) Theory and Methods for NLP concepts and (b) Lab Tutorials for practical application with Python on multilingual text datasets.
Prerequisites
Upper-division standing; Informatics 310D and Informatics 304 (or one of the following approved substitutions: C S 303E, C S 312, C S 312H, C S 313E).
Current and Upcoming Classes for this Course
| Class Name | Semester | Day(s) | Start Time(s) | End Time(s) | Building | Room |
|---|---|---|---|---|---|---|
| I 320D: Topics in Human-Centered Data Science: Text Mining and NLP Essentials
Abhijit Mishra |
Spring Term 2026 |
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Past Classes for this Course
| Class Name | Semester | Day(s) | Start Time(s) | End Time(s) | Building | Room |
|---|---|---|---|---|---|---|
| I 320D: Topics in Human-Centered Data Science: Text Mining and NLP Essentials
Abhijit Mishra Syllabus |
Spring Term 2025 |
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| I 320D: Topics in Human-Centered Data Science: Text Mining and NLP Essentials
Abhijit Mishra Syllabus |
Spring Term 2024 |
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