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Computational Linguistics Requirements

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Certificate Requirements

This undergraduate certificate is designed to help students acquire the knowledge and skills necessary to pursue a career path in an area of technology known alternatively as Computational Linguistics and Natural Language Processing (NLP). This is the science behind machine translation, text-to-speech, speech recognition, and many other important applications. Effective Fall 2022.

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Required Courses 9 Courses (27 credit hours):

  1. LING 1200: Intro to the Study of Language
        or
    LING 1069: @#$! Bad Words and Taboo Terms
  1. CS 1410: Intro to Object-Oriented Programming [1]     or
    CS 1420: Accelerated Object-Oriented Programming
  1. CS 2420: Intro to Algorithms & Data Structures
  1. CS 3100: Models of Computation [2]
  1. CS 3500: Software Practice
  1. LING 4010: Intro to Phonetics and Phonology
        or 
    LING 4020: Intro to Syntax
        or
    LING 5030: Semantics
        or
    LING 5190: Psycholinguistics
  1. LING 3300: Computers and Language
        or
    CS 3505: Software Practice II
  1. CS 5340: Natural Language Processing [3]
  1. LING 5300: Computational Linguistics

[1] CS 1410 has the following chain of prerequisites, some of which may be waived by passing a screening test: MATH 1050 College Algebra, MATH 1060 Trigonometry, CS 1030 Foundations of Computer Science, and CS 1210 Calculus 1.

[2] CS 3100 has a prerequisite of CS 2100 Discrete Structures, which may be waived by demonstrating knowledge of finite-state machines.

[3] CS 5340 has a prerequisite of CS 3505.

 No grade below a C- will count toward the Linguistics course requirements above. 

Last Updated: 1/19/24