Detailed Course Information

CMAI 467 - Natural Language Processing
Fundamental theories, models, and techniques for processing and analyzing na tural language text. Topics include text preprocessing, language modeling, text classification, sequence labeling, and semantic representation. Hands-on experience designing, implementing, and evaluating NLP systems, with applications in machine translation, question answering, and conversational agents using contemporary tools and frameworks. 3.000 Credit hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Computer Science & Engineering Department Course Attributes: Engineering Course (TUI) Restrictions: Must be enrolled in one of the following Levels: Undergraduate Must be enrolled in one of the following Colleges: Engineering Prerequisites: Undergraduate level CMAI 360 Minimum Grade of D or Undergraduate level CMAI 361 Minimum Grade of D

CMAI 467 - Natural Language Processing

Fundamental theories, models, and techniques for processing and analyzing na tural language text. Topics include text preprocessing, language modeling, text classification, sequence labeling, and semantic representation. Hands-on experience designing, implementing, and evaluating NLP systems, with applications in machine translation, question answering, and conversational agents using contemporary tools and frameworks.
3.000 Credit hours
3.000 Lecture hours

Levels: Undergraduate
Schedule Types: Lecture

Computer Science & Engineering Department

Course Attributes:
Engineering Course (TUI)

Restrictions:
Must be enrolled in one of the following Levels:
Undergraduate
Must be enrolled in one of the following Colleges:
Engineering

Prerequisites:
Undergraduate level CMAI 360 Minimum Grade of D or Undergraduate level CMAI 361 Minimum Grade of D

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Detailed Course Information

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