EECS183
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Natural Language Processing
Subject
EECS
Course Number
183
Course Level
Undergraduate
Course Title
Natural Language Processing
Course Description
This course provides a hands-on introduction to language technologies, covering methods for processing speech and text. This includes:
statistical models, early neural models, and transformer-based LLMs; model architectures, training, evaluation, and social impacts; core tasks and methods like machine translation, parsing, and prompting; analysis and representation of speech and speech recognition models. Weekly assignments provide practical experience in building systems and understanding their strengths and limitations.
statistical models, early neural models, and transformer-based LLMs; model architectures, training, evaluation, and social impacts; core tasks and methods like machine translation, parsing, and prompting; analysis and representation of speech and speech recognition models. Weekly assignments provide practical experience in building systems and understanding their strengths and limitations.
Minimum
4
Maximum
4
Grading Basis
Default Letter Grade; P/NP Option
Method of Assessment
Written Exam
Instructors
Suhr, Anumanchipalli
American Cultures Requirement
No
Reading and Composition Requirement
None of the Reading and Composition Requirement
Prerequisite
Complete ANY of the following Courses:
Repeat Rules
Course is not repeatable for credit.
Credit Restriction Courses. Students will receive no credit for this course if the following the course(s) have already been completed.
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Credit Restrictions
Students will receive no credit for EECS 183 after completing COMPSCI 288.
Credit Replacement Courses. Upon passing, students can use the following course(s) to replace a deficient grade for this course.
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Formats
Lecture, Discussion
Term
Fall and Spring
Duration (in weeks)
15
Minimum Hours
3
Maximum Hours
3
Lecture Mode of Instruction
In Person
Minimum Hours
1
Maximum Hours
1
Discussion Mode of Instruction
In Person
Outside Work Hours Min
8
Maximum Hours
8