spring 2022
HIF-3082 Quantitative Methods in Linguistics - 10 ECTS

Application deadline

Applicants from countries within EU/EEA: 1 December for courses offered in the spring semester.

Exchange students and Fulbright students: 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

Bachelor's Degree (180 ECTS), or equivalent qualification, in a language or linguistics, or a degree combining linguistics and literature. The applicant should have at least three semesters (minimum 80 ECTS) of concentrated work 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

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.


Language of instruction and examination

Language of instruction and examination: English.

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.


Information to incoming exchange students

This course is available for inbound exchange students.

This course is open for inbound exchange student who meets the admission requirements. Please see the Admission requirements.

Do you have questions about this module? Please check the following website to contact the course coordinator for exchange students at the faculty: INBOUND STUDENT MOBILITY: COURSE COORDINATORS AT THE FACULTIES | UiT


Assessment

The following coursework requirements must be completed and approved in order to take the final exam: Biweekly homeworks (assessed approved/not approved).

The exam will consist of:

Term paper ("semesteroppgave") 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. The standards for written assignments are to be followed: Times New Roman, 12pt, 1.5 line spacing, 2.5 cm margins.

Performance in the course will be assessed on an A-F grades scale. Grades are A-E for passed and F for failed. A re-sit examination is offered in the beginning of the following semester in the event of an F grade. A re-scheduled examination is offered in the beginning of the following semester for students who were unable to take the final exam due to illness or other exceptional circumstances. The deadline to register for a re-sit/re-scheduled examination in StudentWeb is 15 August (for courses offered in the spring semester). In the event of a re-sit/re-scheduled examination, the student is allowed to submit a revised version of his/her term paper within a given deadline. The exam date for the re-sit/re-scheduled examination will be published in StudentWeb approximately 2 weeks after the deadline for registration.

For questions about exams at UiT, please consult this web page.


  • About the course
  • Campus: Tromsø |
  • ECTS: 10
  • Course code: HIF-3082
  • Tidligere år og semester for dette emnet