spring 2023
HIF-3082 Quantitative Methods in Linguistics - 10 ECTS
Application deadline
Applicants from countries within EU/EEA: 1 June for courses offered in the autumn semester and 1 December for courses offered in the spring semester.
Exchange students and Fulbright students: 15 April for courses offered in the autumn semester and 1 October for courses offered in the spring semester.
Type of course
This course is mandatory for students in the MA programme in English Acquisition and Multilingualism, and elective for students in the MA programme in Theoretical Linguistics. This course may be taken as a single course by students who qualify for admission to the MA programme in Theoretical Linguistics and/or a MA programme in linguistics in general (Russian, Spanish etc.).Admission requirements
A bachelor's Degree (180 ECTS), or equivalent qualification, in a language or linguistics, or a degree combining linguistics and literature (minimum 80 ECTS in linguistics/language/literature, of which minimum 60 ECTS must be in linguistics and/or language). Applicants who hold a bachelor's degree or equivalent issued in Europe, Canada, USA, Australia and New Zealand: An average grade C as a minimum requirement. Applicants who hold a bachelor's degree or equivalent issued in countries other than the above mentioned region/countries: An average grade B as a minimum requirement.
Application code: 9371 - Enkeltemner på masternivå (Nordic applicants).
Course content
This course introduces students to some of the major tools required in the organization and understanding of quantitative linguistic data. This will include: general analytic method, probabilistic logic, statistics, and the use of the programming language R. It is appropriate for students who are interested in data gathered either experimentally or from corpora.Objectives of the course
The students have the following learning outcomes:
Knowledge
By the end of the course the student has a basic knowledge and understanding of the following areas:
- General Logic and Inference
- Basic Probability Theory
- Modelling and Statistical Tests
- The Programming Language R for Statistical Analysis
Skills
In practical terms, the student has acquired the following connected skills:
- How to gather and organize data either experimentally or from corpora.
- How to model complex data with appropriate choice of statistical model.
- How to test statistical models with the appropriate tests.
- How to use R to organize and explore patterns in the data, and run the standard statistical tests required in reporting scientific research.
Teaching methods
Lectures, seminars/exercises and discussions.
Quality assurance: All courses undergo a halfway evaluation once in a 2-year period at the master's level. The Programme Board determines which programme options will be evaluated per year, and which courses will be evaluated by the students and the teacher per year.
Examination
| Examination: | Date: | Duration: | Grade scale: |
|---|---|---|---|
| Assignment | 31.05.2023 14:00 (Hand in) | 1 Semesters | A–E, fail F |
Coursework requirements:To take an examination, the student must have passed the following coursework requirements: |
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| Biweekly homeworks | Approved – not approved | ||
More info about the assignment
An assignment of approximately 15 pages on a topic chosen by the student in consultation with the instructor. The student will work on the term paper throughout the semester under supervision of the instructor and deliver it on the assigned date. The term paper will be written in English.- About the course
- Campus: Tromsø |
- ECTS: 10
- Course code: HIF-3082
- Responsible unit
- Institutt for språk og kultur
- Spørsmål om emnet
- E-post: aisi@hjelp.uit.no
- Tidligere år og semester for dette emnet