Department of Linguistics

# Bachelor of Science/Master of Science in Computational Linguistics

Students on Summer 2018, Fall 2018, or Spring 2019 requirements CMLNBSMSBS

## Requirements

The major requires at least 45 credit hours* (57 credit hours with the Outside Focal Area), including the requirements listed below.

**Math and Logic Foundation.****Mathematics.**One (1) course:- MATH-M 212 Calculus II
- MATH-S 212 Honors Calculus II

# MATH-M 212 Calculus II

- Credits
- 4
- Prerequisites
- MATH-M 211 or MATH-S 211; or consent of department
- Description
- Techniques of integration (by parts, trigonometric substitutions, partial fractions), improper integrals, volume, work, arc length, surface area, infinite series.
- Repeatability
- Credit given for only one of MATH-M 120 or MATH-M 212.

- Fall 2024CASE NMcourseSummer 2024CASE NMcourse

# MATH-S 212 Honors Calculus II

- Credits
- 4
- Prerequisites
- MATH-S 211 or consent of department
- Description
- Includes material of MATH-M 212 and supplemental topics. Designed for students of outstanding ability in mathematics.
- Repeatability
- Credit given for only one of MATH-M 120, MATH-M 212, or MATH-S 212.

- Fall 2024CASE NMcourseSummer 2024CASE NMcourse

**Statistics.**One (1) course:- STAT-S 350 Introduction to Statistical Inference
- MATH-M 365 Introduction to Probability and Statistics

# STAT-S 350 Introduction to Statistical Inference

- Credits
- 3
- Prerequisites
- One of the following: (1) (MATH-M 118, MATH-A 118, MATH-S 118, MATH-V 118, or [MATH-D 116 and MATH-D 117]) and (MATH-M 119, MATH-J 113, or MATH-V 119) and (STAT-H 100, STAT-K 310, STAT-S 100, STAT-S 211, STAT-S 300, STAT-S 301, STAT-S 303, ANTH-A 306, CJUS-K 300, ECON-E 370, ECON-S 370, MATH-E 265, MATH-M 365, POLS-Y 395, PSY-K 300, PSY-K 310, SOC-S 371, SPEA-K 300, or SPH-Q 381); (2) or (MATH-M 119 and MATH-X 201); (3) or MATH-M 211; or (4) (MATH-M 212 or MATH-S 212); (5) or consent of instructor
- Description
- Explores the formulation of statistical inference using probability models. Addresses point estimation, hypothesis testing, and set estimation for various models, including 1-, 2-, and K-sample location problems, goodness-of-fit, correlation and regression.
- Repeatability
- Credit given for only one of STAT-S 320 or STAT-S 350.

- Fall 2024CASE NMcourseSummer 2024CASE NMcourse

# MATH-M 365 Introduction to Probability and Statistics

- Credits
- 3
- Prerequisites
- MATH-M 212, MATH-M 213, or MATH-S 212
- Description
- Elementary concepts of probability and statistics. Combinatorics, conditional probability, independence, random variables, discrete and continuous distributions, moments. Statistical inference, point estimation, confidence intervals, test of hypotheses. Applications to social, behavioral, and natural sciences.
- Repeatability
- Credit given for only one of MATH-M 360 or MATH-M 365.

- Fall 2024CASE NMcourseSummer 2024CASE NMcourse

**Logic.**One (1) course:- COGS-Q 350 Mathematics and Logic for the Cognitive and Information Sciences
- PHIL-P 250 Introductory Symbolic Logic

# COGS-Q 350 Mathematics and Logic for the Cognitive and Information Sciences

- Credits
- 4
- Prerequisites
- None
- Notes
- R: Mastery of two years of high school algebra or the equivalent
- Description
- An introduction to the suite of mathematical and logical tools used in the cognitive and information sciences, including finite mathematics, automata and computability theory, elementary probability, and statistics, together with short introductions to formal semantics and dynamical systems.
- Repeatability
- Credit given for only one of COGS-Q 350 or COGS-Q 250.

- Fall 2024CASE NMcourseSummer 2024CASE NMcourse

# PHIL-P 250 Introductory Symbolic Logic

- Credits
- 3
- Prerequisites
- None
- Description
- Propositional logic and first-order quantificational logic.
- Repeatability
- No credit for PHIL-P 150 if PHIL-P 250 taken first or concurrently.

- Fall 2024CASE NMcourseSummer 2024CASE NMcourse

**Core.****Linguistics.****Introduction to Linguistic Analysis.**One (1) course:- LING-L 103 Introduction to the Study of Language
- LING-L 203

# LING-L 103 Introduction to the Study of Language

- Credits
- 3
- Prerequisites
- None
- Description
- A survey of perspectives on language, covering topics such as the relation between the form of words and sentences and their meanings, the sounds of languages and their dialect variations, the use of language in daily life, language in humans and animals, and the relationship between language and thought.

- Fall 2024CASE SHcourseSummer 2024CASE SHcourse

**Phonetics.**One (1) course:- LING-L 306 Phonetics

# LING-L 306 Phonetics

- Credits
- 3
- Prerequisites
- None
- Description
- Introduction to the nature of speech, and the physiology and process of speech production, and training in IPA transcription of utterances drawn from the languages of the world, including various English dialects. The course includes an emphasis on naturally occurring speech and understanding physical aspects of speech behavior. Some laboratory work is included.

- Fall 2024CASE NMcourseSummer 2024CASE NMcourse

**Phonology.**One (1) course:- LING-L 307 Phonology

# LING-L 307 Phonology

- Credits
- 3
- Prerequisites
- None
- Notes
- R: LING-L 306
- Description
- Basic concepts such as the phoneme and distinctive feature as defined and used within particular theories. The relationship of phonology to phonetics and morphology; exploration of salient aspects of sound structure and some characteristic modes of argumentation; extensive phonological analysis with some practice in writing phonological rules.

- Fall 2024CASE NMcourseSummer 2024CASE NMcourse

**Syntax.**One (1) course:- LING-L 310 Syntax

# LING-L 310 Syntax

- Credits
- 3
- Prerequisites
- None
- Notes
- R: LING-L 203
- Description
- Examination of the basic concepts, assumptions, and argumentation of modern syntactic theory to describe and analyze common syntactic structures in English and other languages. Practice in constructing and evaluating grammars.

- Fall 2024CASE NMcourseSummer 2024CASE NMcourse

**Computational.****Language and Computers.**One (1) course:- LING-L 245 Language and Computers

# LING-L 245 Language and Computers

- Credits
- 3
- Prerequisites
- None
- Description
- Present-day computer systems work with human language. This course surveys issues relating natural language to computers, covers real-world applications, and provides practical experience with natural language on computers. Topics include text encoding, search technology, machine translation, dialogue systems, computer-aided language learning, and the social context of technology.

- Fall 2024CASE NMcourseSummer 2024CASE NMcourse

**Corpus Linguistics.**One (1) course:- LING-L 415 Corpus Linguistics

# LING-L 415 Corpus Linguistics

- Credits
- 3
- Prerequisites
- LING-L 203 and LING-L 245
- Description
- Computer technology has revolutionized the ways linguists approach data. Large bodies of text (corpora) can now be searched to uncover complexities in natural data and explore specific linguistic phenomena. Explores the nature of corpora and programs that annotate or automatically produce a concordance, and how such programs are developed and used.

- Fall 2024CASE NMcourseSummer 2024CASE NMcourse

**Foundational Skills in Computational Linguistics.**One (1) course:- LING-L 435 Foundational Skills in Computational Linguistics

# LING-L 435 Foundational Skills in Computational Linguistics

- Credits
- 3
- Prerequisites
- None
- Description
- No previous programming experience required. Introduces basic concepts in programming such as loops or functions with the goal of attaining practical skills for text processing and solving problems in computational linguistics: expression searching, managing text, searching in text, and extracting information from text.

- Fall 2024CASE NMcourseSummer 2024CASE NMcourse

**Introduction to Computational Linguistics.**One (1) course:- LING-L 445 The Computer and Natural Language

# LING-L 445 The Computer and Natural Language

- Credits
- 3
- Prerequisites
- None
- Description
- Present-day computer systems work with human language in many different forms, whether as stored data in the form of text, typed queries to a database or search engine, or speech commands in a voice-driven computer system. We also increasingly expect computers to produce human language, such as user-friendly error messages and synthesized speech. This course surveys a range of linguistic issues and problems in computational linguistics.

- Fall 2024CASE NMcourseSummer 2024CASE NMcourse

**Computer Science.****Introduction to Computer Science.**One (1) course:- CSCI-C 200 Introduction to Computers and Programming
- CSCI-C 211 Introduction to Computer Science
- CSCI-H 211 Introduction to Computer Science, Honors

# CSCI-C 200 Introduction to Computers and Programming

- Credits
- 4
- Prerequisites
- High school precalculus math
- Description
- This course is an introduction, broadly, to algorithmic thinking and, specifically, to programming. It teaches the basics of programming using real world applications in natural, physical and social sciences. Students will develop ability to program by identifying problems in real world and then creating a program that solves the problem.
- Repeatability
- Credit given for only one of CSCI-C 200, CSCI-C 211, CSCI-H 211, or CSCI-A 591.

# CSCI-C 211 Introduction to Computer Science

- Credits
- 4
- Prerequisites
- High school precalculus math
- Description
- A first course in computer science for those intending to take advanced computer science courses. Introduction to programming and to algorithm design and analysis. Using the Scheme programming language, the course covers several programming paradigms. Lecture and laboratory.
- Repeatability
- Credit given for only one of CSCI-C 200, CSCI-C 211, CSCI-H 211, or CSCI-A 591.

# CSCI-H 211 Introduction to Computer Science, Honors

- Credits
- 4
- Prerequisites
- High school precalculus math
- Description
- Honors version of CSCI-C 211. A first course in computer science for those intending to take advanced computer science courses. Introduction to programming and to algorithm design and analysis. Using the Scheme programming language, the course covers several programming paradigms. Lecture and laboratory.
- Repeatability
- Credit given for only one of CSCI-A 591, CSCI-C 200, CSCI-C 211, or CSCI-H 211.

**Introduction to Software Systems.**One (1) course:- CSCI-C 212 Introduction to Software Systems
- CSCI-H 212 Introduction to Software Systems, Honors

# CSCI-C 212 Introduction to Software Systems

- Credits
- 4
- Prerequisites
- CSCI-C 200 or CSCI-C 211.
- Description
- Design of computer software systems and introduction to programming in the environment of a contemporary operating system. Topics include a modern object-oriented programming language; building and maintaining large projects; and understanding the operating system interface. Lecture and laboratory.
- Repeatability
- Credit given for only one of CSCI-A 592, CSCI-C 212, CSCI-H 212, or ENGR-E 111.

# CSCI-H 212 Introduction to Software Systems, Honors

- Credits
- 4
- Prerequisites
- CSCI-C 200 or CSCI-C 211
- Description
- Honors version of CSCI-C 212. Design of computer software systems and introduction to programming in the environment of a contemporary operating system. Topics include a modern object-oriented programming language; building and maintaining large projects; and understanding the operating system interface. Lecture and laboratory.
- Repeatability
- Credit given for only one of CSCI-A 592, CSCI-C 212, CSCI-H 212, or ENGR-E 111.

**Discrete Structures for Computer Science.**One (1) course:- CSCI-C 241 Discrete Structures for Computer Science
- CSCI-H 241 Discrete Structures for Computer Science, Honors

# CSCI-C 241 Discrete Structures for Computer Science

- Credits
- 3
- Prerequisites
- CSCI-C 200 or CSCI-C 211
- Notes
- R: MATH-M 211
- Description
- Induction and recursive programs, running time, asymptotic notations, combinatorics and discrete probability, trees and lists, the relational data model, graph algorithms, propositional and predicate logic.
- Repeatability
- Credit given for only one of CSCI-C 241 or CSCI-H 241.

# CSCI-H 241 Discrete Structures for Computer Science, Honors

- Credits
- 3
- Prerequisites
- CSCI-C 200 or CSCI-C 211
- Notes
- R: MATH-M 211
- Description
- Honors version of CSCI-C 241. Induction and recursive programs, running time, asymptotic notations, combinatorics and discrete probability, trees and lists, the relational data model, graph algorithms, propositional and predicate logic.
- Repeatability
- Credit given for only one of CSCI-C 241 or CSCI-H 241.

**Outside Focal Area.**The outside focal area must consist of 12 credit hours at any level taken in one department. The following disciplines are appropriate for an outside concentration: cognitive science, computer science, informatics, mathematics, psychology, or a foreign language (must be different from the language used to fulfill the World Language and Culture Requirement). Alternatively, students can fulfill the requirement by completing a minor in any of these departments.**Major GPA, Hours, and Minimum Grade Requirements.**- At least 18 credit hours in the major must be completed in courses taken through the Indiana University Bloomington campus or an IU-administered or IU co-sponsored Overseas Study program.
- At least 18 credit hours in the major must be completed at the 300–499 level.
- Except for the GPA requirement, a grade of C- or higher is required for a course to count toward a requirement in the major.
- A GPA of at least 2.000 for all courses taken in the major—including those where a grade lower than C- is earned—is required.
- Exceptions to major requirements may be made with the approval of the department's Director of Undergraduate Studies, subject to final approval by the College of Arts and Sciences.

Notes

The Bachelor of Science degree requires at least 120 credit hours, to include the following:

**College of Arts and Sciences Credit Hours.**At least 100 credit hours must come from College of Arts and Sciences disciplines.**Upper Division Courses.**At least 36 credit hours (of the 120) must be at the 300–499 level.**College Residency.**Following completion of the 60th credit hour toward degree, at least 36 credit hours of College of Arts and Sciences coursework must be completed through the Indiana University Bloomington campus or an IU-administered or IU co-sponsored Overseas Study program.**College GPA.**A cumulative grade point average (GPA) of at least 2.000 is required for all courses taken at Indiana University.**CASE Requirements.**The following College of Arts and Sciences Education (CASE) requirements must be completed:- CASE Foundations
- CASE Breadth of Inquiry
- CASE Culture Studies
- Diversity in the United States: Not required
- Global Civilizations and Cultures: Not required

- CASE Critical Approaches: 1 course
- CASE Foreign Language: Proficiency in a single foreign language through the second semester of the second year of college-level coursework
- CASE Intensive Writing: 1 course
- CASE Public Oral Communication: 1 course

**Major.**Completion of the major as outlined in the Major Requirements section above.

Most students must also successfully complete the Indiana University Bloomington General Education program.