Department of Linguistics
Bachelor of Science in Computational Linguistics
Students on Summer 2021, Fall 2021, or Spring 2022 requirements COMPLINGBS
Requirements
The major requires at least 48 credit hours (60 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.
- Spring 2025CASE NMcourseFall 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.
- Spring 2025CASE NMcourseFall 2024CASE NMcourse
- Statistics. One (1) course:
- MATH-M 365 Introduction to Probability and Statistics
- STAT-S 350 Introduction to Statistical Inference
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.
- Spring 2025CASE NMcourseFall 2024CASE NMcourse
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.
- Spring 2025CASE NMcourseFall 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.
- Spring 2025CASE NMcourseFall 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.
- Spring 2025CASE NMcourseFall 2024CASE NMcourse
- Mathematics. One (1) course:
- Core.
- Linguistics.
- Introduction to Linguistic Analysis. One (1) course:
- LING-L 103 Introduction to the Study of Language
- LING-L 203 Introduction to Linguistic Analysis
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.
- Spring 2025CASE SHcourseFall 2024CASE SHcourse
LING-L 203 Introduction to Linguistic Analysis
- Credits
- 3
- Prerequisites
- None
- Description
- Introduction to basic concepts of linguistic analysis, exemplifying the general principles of structural approaches to the modeling of language. Focus on, and application of, analytical methods applied in phonetics/phonology and morphology/syntax.
- Repeatability
- Credit given for only one of LING-L 203 or LING-L 303.
- Spring 2025CASE NMcourseFall 2024CASE NMcourse
- 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.
- Spring 2025CASE NMcourseFall 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.
- Spring 2025CASE NMcourseFall 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.
- Spring 2025CASE NMcourseFall 2024CASE NMcourse
- Introduction to Linguistic Analysis. One (1) course:
- 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.
- Spring 2025CASE NMcourseFall 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.
- Spring 2025CASE NMcourseFall 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.
- Spring 2025CASE NMcourseFall 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.
- Spring 2025CASE NMcourseFall 2024CASE NMcourse
- Language and Computers. One (1) course:
- 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
- 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.
- Additional information
- Credit hour, prerequisite, and other information cannot be displayed for this course. If this is a course outside of the College of Arts and Sciences, please see the appropriate school's bulletin for additional information.
CSCI-C 211 Introduction to Computer Science
- 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.
- Additional information
- Credit hour, prerequisite, and other information cannot be displayed for this course. If this is a course outside of the College of Arts and Sciences, please see the appropriate school's bulletin for additional information.
CSCI-H 211 Introduction to Computer Science-Honors
- Description
- Honors version of CSCI-C 211.
- Additional information
- Credit hour, prerequisite, and other information cannot be displayed for this course. If this is a course outside of the College of Arts and Sciences, please see the appropriate school's bulletin for additional information.
- 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
- 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.
- Additional information
- Credit hour, prerequisite, and other information cannot be displayed for this course. If this is a course outside of the College of Arts and Sciences, please see the appropriate school's bulletin for additional information.
CSCI-H 212 Introduction to Software Systems, Honors
- Description
- Honors version of C212
- Additional information
- Credit hour, prerequisite, and other information cannot be displayed for this course. If this is a course outside of the College of Arts and Sciences, please see the appropriate school's bulletin for additional information.
- Introduction to Computer Science. One (1) course:
- Linguistics.
- Electives. Two (2) courses:
- LING-L 308 Morphology
- LING-L 315 Introduction to Sociolinguistics
- LING-L 325 Semantics
- COGS-Q 351 Introduction to Artificial Intelligence and Computer Simulation
- CSCI-A 290 Tools for Computing
- CSCI-C 241 Discrete Structures for Computer Science
- CSCI-C 343 Data Structures
LING-L 308 Morphology
- Credits
- 3
- Prerequisites
- LING-L 103, LING-L 203, or LING-L 307
- Description
- An introduction to morphology, the study of the internal structure of words. Topics include the concept of the morpheme, the structure of words and processes of word formation, inflection versus derivation, and issues in morphological theory. Students will do morphological analyses on forms drawn from a variety of languages.
- Spring 2025CASE NMcourseFall 2024CASE NMcourse
LING-L 315 Introduction to Sociolinguistics
- Credits
- 3
- Prerequisites
- None
- Description
- Examines the relationship between language and society. Issues include the nature of sociolinguistics; the importance of age, sex, socioeconomic status, language ideologies; why people use different dialects/languages in different situations; bilingualism and multilingualism; language choice, language attitudes, language endangerment; the relevance of sociolinguistics to general linguistics theory.
- Spring 2025CASE SHcourseFall 2024CASE SHcourse
LING-L 325 Semantics
- Credits
- 3
- Prerequisites
- None
- Notes
- R: LING-L 203
- Description
- An introduction to the relationship between linguistic forms and their meanings, use, and interpretation. Students will investigate the domain of linguistic semantics and acquire the "tools" to do semantic analysis and to critically evaluate those of others.
- Spring 2025CASE NMcourseFall 2024CASE NMcourse
COGS-Q 351 Introduction to Artificial Intelligence and Computer Simulation
- Credits
- 3
- Prerequisites
- CSCI-C 211, CSCI-H 211, or consent of instructor
- Description
- A survey of techniques for machine intelligence and their relation to human intelligence. Topics include modeling techniques, neural networks and parallel processing systems, problem-solving methods, knowledge representation, expert systems, vision, heuristics, production systems, speech perception, and natural language understanding. Students who have completed both COGS-C 463 and COGS-C 464 are exempted from taking this course.
- Repeatability
- Credit given for only one of COGS-Q 351 or CSCI-B 351.
- Spring 2025CASE NMcourseFall 2024CASE NMcourse
CSCI-A 290 Tools for Computing
- Description
- Exploration of topics in computing. Common topics include tools for power users.
- Additional information
- Credit hour, prerequisite, and other information cannot be displayed for this course. If this is a course outside of the College of Arts and Sciences, please see the appropriate school's bulletin for additional information.
CSCI-C 241 Discrete Structures for Computer Science
- 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.
- Additional information
- Credit hour, prerequisite, and other information cannot be displayed for this course. If this is a course outside of the College of Arts and Sciences, please see the appropriate school's bulletin for additional information.
CSCI-C 343 Data Structures
- Description
- Systematic study of data structures encountered in computing problems, structure and use of storage media, methods of representing structured data, and techniques for operating on data structures.
- Additional information
- Credit hour, prerequisite, and other information cannot be displayed for this course. If this is a course outside of the College of Arts and Sciences, please see the appropriate school's bulletin for additional information.
- Outside Focal Area. One (1) of the following:
- Outside Focal Area Disciplines. Complete 12 credit hours in one (1) of the following disciplines:
- Cognitive Science
- Computer Science
- Informatics
- Mathematics
- Psychology
- Foreign language (must be different from the language used to fulfill the General Education World Language and Cultures requirement)
- Outside Minor. Complete a minor offered in one of the disciplines listed in the Outside Focal Area Disciplines.
- Outside Focal Area Disciplines. Complete 12 credit hours in one (1) of the following disciplines:
- Major GPA, Hours, and Minimum Grade Requirements.
- Major GPA. 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.
- Major Minimum Grade. Except for the GPA requirement, a grade of C- or higher is required for a course to count toward a requirement in the major.
- Major Upper Division Credit Hours. At least 18 credit hours in the major must be completed at the 300–499 level.
- Major Residency. 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.
Major Area Courses
-
Unless otherwise noted below, the following courses are considered in the academic program and will count toward academic program requirements as appropriate:
- Any course at the 100–499 level with the
LINGsubject area prefix—as well as any other subject areas that are deemed functionally equivalent - Any course contained on the course lists for the academic program requirements at the time the course is taken—as well as any other courses that are deemed functionally equivalent—except for those listed only under Addenda Requirements
- Any course directed to a non-Addenda requirement through an approved exception
- Any course at the 100–499 level with the
This program of study cannot be combined with the following:
- Bachelor of Arts in Anthropology and Linguistics (ANTHLNGBA)
- Bachelor of Arts in Linguistics (LINGBA)
- Bachelor of Arts in Linguistics and Anthropology (LINGANTBA)
- Bachelor of Science/Master of Science in Computational Linguistics (CMLNBSMSBS)
- Minor in Computational Linguistics (CMPLNGMIN)
- Minor in Linguistics (LINGMIN)
Exceptions to and substitutions for major requirements may be made with the approval of the unit's Director of Undergraduate Studies, subject to final approval by the College of Arts and Sciences.
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 College grade point average (GPA) of at least 2.000 is required.
- 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: 1 course
- 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.