Current Research in Linguistics, 7.5 c
Course code:5LN139, Report code:07709, 50%, DAG, NML
week: 14 - 23 Semester: Spring 2019 (2019-04-01 - 2019-06-09)
This course is part of a joint section.
Registration for this course is done via roll call.
Time of registration: 2019-04-04 time 14.15 - 16.00Place of registration: Turing
Information for admitted students
Registration takes place at the first lecture or seminar. Students who are conditionally admitted need to prove they are eligible to the course before they can be registered.
Information for reservesStudents who have applied late will be automatically placed on queue, and will be contacted by the department by email (from firstname.lastname@example.org) if they can be offered a place on the course. The email will be sent to the address given at the time of application. Please ensure that the email address is valid.
Contact informationIf you have any questions about registration, please contact:
Information about student accountsTo take this course you must have a student account. As an admitted you can activate your student account via www.uu.se/konto.
Linguistic Research and Research Method
Instructor: Marc Tang
Course coordinator: Michael Dunn
Please contact Marc Tang if you have any questions about the course!
This course will equip students with the basic skills to evaluate and carry out their own research in linguistics. On completion of the course a passing student will be able to:
Teaching consists of lectures, computer labs and project work. For computer labs and project work students are encouraged to work collaboratively on problems, but assessable work must be written up individually.
The teaching method will be interactive and involve group work. Working groups will provide overviews and questions about the learned content along the course.
No prior experience in computer programming is assumed. Students are encouraged to bring their own computer to use for exercises during the class. The computers of the lab may also be used upon request.
The assessment has two parts: exercises carried out in class (overviews and questions about learned knowledge), and a final project . To pass the course a passing grade in both parts is required.
In the final project (1000-1500 words), the student should formulate a research question based on the dataset provided by the instructor and use R to visualize and analyze the data. The final project should include text description of each code along with its output. The final project should be submitted via Student Portal before Friday 14.6.2019 at 23.00. The grades used are U, G, and VG.
Please read the rules about cheating and plagiarism. Delayed course work without a permit will only receive grades U or G, without written feedback.
LESSON PLAN (EACH SESSION IS 1H45 MINUTES, INCLUDING BREAKS)
W14 April 4, Thursday kl. 14-16. Quantitative and qualitative research
*All course are carried out at the Turing lab (9-2042)
*W21 will also include a discussion of potential topics for the final project
Wilson, Greg, Jennifer Bryan, Karen Cranston, Justin Kitzes, Lex Nederbragt, and Tracy K. Teal. 2017. “Good Enough Practices in Scientific Computing.” PLOS Computational Biology13 (6): e1005510. https://doi.org/10.1371/journal.pcbi.1005510.
Levshina, Natalia. 2015. How to do Linguistics with R: Data exploration and statistical analysis.John Benjamins.
Materials from the Software Carpentry consortium, incl.