LIN318H5S Talking Numbers: Interpretation and presentation of quantitative linguistic data Fall 2023
Hello, dear friend, you can consult us at any time if you have any questions, add WeChat: daixieit
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
2023-09-06