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Course Code    LIN318H5S

Course Title     Talking Numbers: Interpretation and presentation of quantitative linguistic data

Term                              Fall 2023

LAND ACKNOWLEDGEMENT

I wish to acknowledge this land on which the University of Toronto operates. For thousands of years it has been the traditional land of the Huron- Wendat, the Seneca, and the Mississaugas of the Credit. Today, this meeting place is still the home to many Indigenous people from across Turtle Island and we are grateful to have the opportunity to work on this land.

Source: UTMLand Acknowledgement

COURSE LOCATION & TIME

Class Time and location             Monday 11am- 1pm                 IB 390

Wednesday 1-2pm                  IB 360

Office Hours and location         Wednesday 2-3pm                   MN 4126

COURSE DESCRIPTION

Do numbers and statistics make your vision go blurry? Do you avoid making eye contact with charts and tables? From measuring vowel formants to gradient grammaticality judgments to frequencies and patterns in natural language corpora, research in linguistics is becoming increasingly dependent on quantitative data and argumentation...but fear not! In this course, students with no prior background in statistics will learn the fundamentals of quantitative reasoning through hands-on experience with contemporary statistical tools and will  be  equipped  with the  basic  numeracy  skills  necessary  to  critically  evaluate  quantitative arguments in a range of subfields of linguistics.

Learning Outcomes

By the end of the course, students will be able to:

•    Identify different types of quantitative data used in linguistic research.

•    Engage with and evaluate quantitative analyses of linguistic data.

•    Communicate results of analyses in both writing and graphs.

•    Explain the reasoning behind fundamental concepts in statistical inference. •    Use the software R for data analysis and visualization.


Textbooks and Other Materials

•    There is no required textbook to purchase. All required course materials, including readings, will be     available on the course page. Winter (2019): Statistics for Linguists is a recommended supplementary textbook and is freely available in electronic format at the UofT library.

•    Laptop computer: We will regularly be using the software R, in class and for assignments. R must be     run on a computer (not a tablet/phone). Please bring a laptop computer to each class session. If you    do not have access to a personal computer, please notify the instructor before the first day of classes.

•    R and RStudio: Please download and install these before classes begin (instructions will be provided).

EVALUATION COMPONENTS

Component

Due Date

Participation

9%

Ongoing

Lab assignments (7 * 3%, lowest of 8 labs dropped)

21%

Weekly on Fridays

Quizzes

Quiz 1

15%

October 4

Quiz 2

15%

November 1

Quiz 3

15%

November 27

Project

Project topic statement

5%

October 23

Project draft

5%

November 15

Final project submission

15%

December 5

Attendance and active participation in all class sessions is an integral part of this course. The participation mark will reflect your contribution to the course and will be based on both attendance (3%; 1 session may be missed without penalty) and active participation (6%: asking questions, volunteering answers, participating in class activites, and contributing to class discussion).

Most weeks during the Wednesday class session, I will introduce a lab assignment, usually involving R coding, and we will start the assignment together in class. If you do not finish in class, you may finish afterwards. Lab assignments are due Friday at 11:59pm on Quercus. You may work with others on the lab assignment, but you must type up your own assignment and submit your own work.

Three quizzes will assess understanding of the main concepts covered in readings, lectures, and lab work. Quizzes will cover your conceptual understanding of the course material as well as R coding. Quizzes will   take place in class during the regular course time.

A final project will be completed in (self-selected) groups of 1-4 students. In this project, you will present an analysis of hypothetical data pertaining to a linguistic question chosen in consultation with the instructor. The project will consist of several scaffolded components: a topic statement, a draft, a peer review, and a final writeup. Full instructions will be provided on the course website.

The Quercus discussion board can be used for asking and answering questions about course content and  assignments. There maybe opportunities to earn up to 1% extra credit in the course via discussion board posts. Guidelines for posting will be provided on the course website.

IMPORTANT COURSE INFORMATION

Class Format

•    This class (both Monday and Wednesday sessions) will be held fully in-person. Lectures will not be recorded.

•    Quercus Announcements will be used for course communication, so please ensure that you receive course announcements (Account > Notifications) .

•    The first day of class will be Wednesday, September 6th.

•    Official information regarding campus closures is posted on theUTM Campus Statuspage. Tri-campus information is available on theUofT Campus Statuswebpage.

Email Policy

Feel free to contact me via email ([email protected]) for short administrative questions and setting appointments. Questions about course content, or those requiring a response longer than one to two  sentences, should be addressed in person. If you are not available during office hours, please email me to set  up an appointment. When contacting me via email, please include the course code in the subject line and use your UofT email. I will respond to emails conforming to these criteria within 48 hours.

Office Hour Policy

I love talking to students during office hours! Pleasedon’t be shy, and come to office hours if you have questions about anything about the course, or if you just want to chat about linguistics!  If you cannot make office hours because of a course conflict, please email me to set up a different meeting time.

Enrollment Conflict

Students who enroll in courses with conflicting lectures, tutorials, lab, or practicals (scheduled at the same or overlapping time slot)  may  NOT  receive accommodations for conflicting tests,  quizzes, assignments, lecture material, in-class participation and attendance.

Source:Academic Calendar

Copyright for Instructional Materials

Please be advised that the intellectual property rights in the material referred to on this syllabus [and posted    on the course site] may belong to the course instructor or other persons. You are not authorized to reproduce or distribute such material, in any form or medium, without the prior consent of the intellectual property owner. Violation of intellectual property rights may be a violation of the law and University of Toronto policies and may entail significant repercussions for the person found to have engaged in such act. If you have any questions regarding your right to use the material in a manner other than asset forth in the syllabus, please speak to your instructor.

Fall 2023-Winter 2024 -Important Dates

•     September 6, 2023 – Classes begin in F & Y courses.

•     September 19, 2023 – Waitlist ends for F & Y courses at UTM. Last day to add or change a section in an F or Y course on ACORN.

•     October 9, 2023 – Thanksgiving Day; University closed

•     October 10, 2023– October 13, 2023 – Fall Reading Week

•     November 6, 2023 – Last day to drop an F course from academic record •     December 5, 2023 – Last day of F classes; Y courses break for holidays

•     December 6, 2023 – Study Break

•     December 7, 2023– December 20, 2023 – Final exam period for F courses •     December 21, 2023–January 2, 2024 – Winter Break; University closed

•    January 8, 2024 – Y courses resume and S courses begin.

•     January 21, 2024 – Waitlist ends for S courses. Last day to add or change a section in an S course on ACORN.

•     February 19, 2024 – Last day to drop a Y course from academic record

•     February 19, 2024 – Family Day; University closed

•     February 20, 2024– February 23, 2024 – Winter Reading Week

•     March 11, 2024 – Last day to drop an S course from academic record

•     March 29, 2024 – Good Friday; University closed

•     April 5, 2024 – Last day of Y & S classes

•     April 8, 2024 – Make-up Day

•     April 9, 2024–April 10, 2024 – Study Break

•     April 11, 2024–April 25, 2024 – Final exam period for Y & S courses

Please check theUTM Registrar’s websitefor detailed deadlines.

GRADING SCHEME

Students are assigned a grade in each course as follows:

Percentage Grade Value

Grade Definitions

90 - 100  A+  4.0                  Excellent                 Strong evidence of original thinking; good organization, capacity

85 - 89     A    4.0                                                   to analyze  and synthesize; superior grasp of subject  matter with

sound critical evaluations; evidence of extensive knowledge base.

80 - 84    A-   3.7

77 - 79     B+  3.3                 Good                        Evidence  of  grasp  of subject  matter,  some  evidence  of critical

73 - 76     B     3.0                                                   capacity and analytic ability; reasonable understanding of relevant

issues; evidence of familiarity with the literature.

70 - 72     B-   2.7

67 - 69    C+   2.3                  Adequate               Student        who       is        profiting       from       their        university

63 - 66    C     2.0                                                    experience;   understanding   of   the   subject   matter;  ability  to

develop solutions to simple problems in the material.

60 - 62    C-   1.7


57 - 59     D+ 1.3

Marginal

Some evidence of familiarity with subject matter and some

53 - 56     D 1.0

evidence that critical and analytic skills have been developed.

50 - 52    D-   0.7

0 - 49        F     0.0                 Inadequate             Little   evidence   of   even   superficial   understanding   of   subject

matter; weakness in critical and analytical skills, with  limited or irrelevant use of literature.

Source:Academic Calendar – Grades and Academic Records

PROCEDURES AND RULES

ACADEMIC GUIDELINES

It is your responsibility to ensure that you have met all prerequisites listed in theUTM Academic Calendar 2023- 2024for this course. If you lack prerequisites, you maybe removed from the course up until the last day to add  a course. If you do not have the prerequisites, you have the option to submit aprerequisite waiver requestto the  Department.  Prerequisite  waiver  requests  must  be  submitted  before  the  first  day  of  classes.  Further information about academic regulations, course withdrawal dates, and credits can be found in theUniversity of

Toronto Mississauga Academic Calendar. Please ensure that you comply with and understand all of the academic and non-academic policies, rules and regulations of the University asset out in the Calendar.

PENALTIES FOR LATENESS

Late  lab  assignments  will  not  be  accepted,  but your  lowest  lab  assignment  will  be  dropped.  For   project components, a penalty of 10% per calendar day (including weekends and holidays) will be applied . No penalty will be assigned if a request for special consideration, as described below, is successful.

SPECIAL CONSIDERATION

Students who miss an assessment due to circumstances beyond their control (e.g., illness or an accident) can request that the Department grant them special consideration. Students must follow the appropriate procedure (see below) .

For assessments worth 10% or less

•     Please contact the instructor immediately (within 24 hours of the missed assignment) to make arrangements. There will not be make-up assignments, but it may be possible to redistribute the relevant   portion of the mark in special circumstances. Requests for extensions for non-emergency reasons must be submitted to the instructor prior to the deadline of the work.

For assessments worth more than 10%

If you miss an assessment or assessment deadline that is worth  more than  10%  (a  quiz or the final  project submission) for reasons beyond your control, you may submit a request for special consideration within two days of the missed deadline or test/quiz date. To submit your request, you MUST

1)    complete theSpecial Consideration Formonline on the Department of Language Studies website, and upload any requested documentation on the Form, and

2)    submit the assessment as soon as possible after the due date (even if you have not received a decision on your special consideration request) . If your special consideration request is approved, follow up with your instructor as soon as possible.

ACORN Absence Declaration Tool(one-time only per term) - NEW for 2023-2024

New for 2023-2024, absence declaration on ACORN will be limited to one absence of maximum 7 days per term.

An absence declared on ACORN will not require additional supporting documentation. However, you must still notify your instructor as soon as possible (within 2 days of the  missed deadline), and complete theSpecial Consideration Formonline on the Department of Language Studies website.

If your  absence  exceeds  7  days,  you  may  be  asked  to  provide  additional  supporting  documentation  (e.g., Verification of Illness Form or Verification of Extenuating Circumstances) .

The absence declaration tool cannot be used for matters that require a petition (e.g., missed final exam/final assessments). The  ACORN  absence  declaration tool  also  may  not  be  used  if  you  have  already  declared  an absence on ACORN during the academic term.

Please follow the appropriate procedure and submit any requested supporting documentation.

IMPORTANT NOTES TO STUDENTS

The Department evaluates special consideration requests carefully and approval is not guaranteed.

You may not submit a special consideration request tore-write a test/quiz once the test has begun.

If you are feeling  ill, you  must  leave  the session/room  before starting your test/quiz and seek  medical attention immediately.

Reasons such as vacations, pre-purchased plane tickets, family plans (unless critical, such as death of an immediate family member), lack of preparation, late course registration, traffic delays, or conflicting course deadlines are not considered to be beyond a student’s control and will NOT be accommodated.

If you do not complete the make-up as and when required, you will receive a grade of zero for the original missed test; further special consideration is NOT permitted.

Should your special consideration request be approved, no further consideration can be applied to the same request.

False statements and/or documentation will be treated as academic offences and handled accordingly.

For more detailed procedures and information, please consult the guidelines in theAcademic Calendar.

ACADEMIC HONESTY AND PLAGIARISM

UTM wishes to remind students that they are expected to adhere tothe Code of Behaviour on Academic Matters regardless of the course delivery method. UTM expects that students will maintain the same academic honesty and integrity both in a classroom setting and online.

All suspected cases of academic dishonesty will be investigated following procedures outlined in the Code of Behaviour  on  Academic   Matters.  If  you   have  questions  or  concerns  about  what  constitutes  appropriate academic behaviour or appropriate research and citation methods, you are expected to seek out additional information on academic integrity from your instructor or from otherinstitutional resources.

Potential academic offences include, but are not limited to:

-      Using any unauthorized aids on an exam or test (e.g., "cheat sheets," cell phones, electronic devices, etc.)

-      Representing someone else's work or words as your own -- plagiarism

-      Falsifying documents or grades

-      Purchasing and selling an essay

-      Submitting someone else's work as your own or providing your answers to someone else

-      Submitting the same essay or report in more than one course (without permission)

-      Looking at someone else's answers during an exam or test

-      Sharing your answers during an exam or test

-      Utilizing someone else’s answers (e.g., getting help from a tutor) in an exam and test

-      Impersonating another person at an exam or test or having so