ClassInfo - Spring 2023 Speech-Language-Hearing Sci Classes

2 classes matched your search criteria.

Spring 2023 | SLHS 1302 Section 001: Rate Your World: Quantifying Judgments of Human Behavior (52798)

Instructor(s): Yang Zhang
Class Component:: Lecture
Instructor Consent:: No Special Consent Required
Instruction Mode:: In Person
Class Attributes:: UMNTC Liberal Education Requirement
Freshman Full Year Registration
Times and Locations:: Regular Academic Session

01/17/2023 - 05/01/2023

Tue, Thu 10:10AM - 11:00AM

UMTC, East Bank

Shevlin Hall 110
Enrollment Status:: Open (24 of 52 seats filled)
Also Offered:: Spring 2023
Spring 2022

Course Catalog Description:: This 3-credit course meets the UMN liberal education requirements in the area of mathematical thinking. As specified on the university web site, the courses that were approved to fulfill the liberal education requirements aim to "guide you through the 'why' and 'how' of different academic disciplines" and to "equip you with a broad range of tools that you can use to approach problems in your everyday life and work, and ultimately to make a positive difference in your communities, your society, your state, and your world." This course was initially developed by Professors Peggy Nelson and Leslie Glaze, and its contents have been substantially revised by Professor Yang Zhang to meet the requirements of the college curriculum review committee. Current materials for the course are based in part on a course at another Big Ten University, Ohio State, which was originally developed by Professor Mary EBeckman.
Class Description:: This course will allow students with little mathematics background to learn basic quantitative methods as they apply to measuring and understanding human behavior. Introductory mathematical principles and statistical methods will be applied to understanding behaviors such as rating personality and attention, studying opinion polls, measuring voice and sound, and quantifying speech recognition through cochlear implants. Materials will be presented using a mixture of lecture and hands-on activities in class. Lecture materials focus on descriptive and inferential statistics with the hypothesis testing procedure with linear regression models. Instead of a final exam, students will work on a term project on quantifying and evaluating human behavior data. The purpose of the discussion section is to make sure students understand the important concepts and are able to finish the assignments.
Who Should Take This Class?:: This 3-credit course meets the "mathematical thinking" requirements for liberal education. It also meets the ASHA (American Speech Language and Hearing Association) statistics requirement for graduate school application to SLP (Speech Language Pathology) and AuD (Audiology) programs. Students in all disciplines are welcome to take this course.
Learning Objectives:: The University of Minnesota recognizes seven student learning outcomes, as described at http://policy.umn.edu/Policies/Education/Education/UNDERGRADLEARNING.html These are the intended outcomes of receiving a bachelor's degree at the University. This course endeavors to address all of these outcomes, and focuses specifically on two of them: 1. Have mastered a body of knowledge and a mode of inquiry. 2. Can locate and critically evaluate information.
Grading:: 45% Exams (3)
15% Final project
30% Assignments
10% In-class/online exercises
Exam Format:: All exams are open book open notes. Students are allowed to use the computer during the exam. Each exam has 10 True/False questions (40%), 6 Multiple Choice questions (30%), and 5-10 short answer questions (30%). It takes up to 50 minutes (during lecture) to complete an exam. The final exam is replaced with the final project, which requires a Powerpoint presentation.
Class Format:: 40% Lecture
30% Discussion
30% Laboratory
Workload:: 20 Pages Reading Per Week
6 Assignments
3 Exam(s)
1 final project
In-class activities/exercises
Textbooks:: https://bookstores.umn.edu/course-lookup/52798/1233
Past Syllabi:: http://classinfo.umn.edu/syllabi/zhang470_SLHS1302_Spring2022.pdf (Spring 2022)
Instructor Supplied Information Last Updated:: 19 January 2022

Spring 2023 | SLHS 1302 Section 002: Rate Your World: Quantifying Judgments of Human Behavior (53002)

Instructor(s): Yang Zhang
Class Component:: Discussion
Class Attributes:: UMNTC Liberal Education Requirement
Times and Locations:: Regular Academic Session

01/17/2023 - 05/01/2023

Tue 01:00PM - 02:00PM

UMTC, East Bank

Shevlin Hall 110
Auto Enrolls With:: Section 001
Enrollment Status:: Open (24 of 35 seats filled)

Course Catalog Description:: This 3-credit course meets the UMN liberal education requirements in the area of mathematical thinking. As specified on the university web site, the courses that were approved to fulfill the liberal education requirements aim to "guide you through the 'why' and 'how' of different academic disciplines" and to "equip you with a broad range of tools that you can use to approach problems in your everyday life and work, and ultimately to make a positive difference in your communities, your society, your state, and your world." This course was initially developed by Professors Peggy Nelson and Leslie Glaze, and its contents have been substantially revised by Professor Yang Zhang to meet the requirements of the college curriculum review committee. Current materials for the course are based in part on a course at another Big Ten University, Ohio State, which was originally developed by Professor Mary EBeckman.
Class Description:: This course will allow students with little mathematics background to learn basic quantitative methods as they apply to measuring and understanding human behavior. Introductory mathematical principles and statistical methods will be applied to understanding behaviors such as rating personality and attention, studying opinion polls, measuring voice and sound, and quantifying speech recognition through cochlear implants. Materials will be presented using a mixture of lecture and hands-on activities in class. Lecture materials focus on descriptive and inferential statistics with the hypothesis testing procedure with linear regression models. Instead of a final exam, students will work on a term project on quantifying and evaluating human behavior data. The purpose of the discussion section is to make sure students understand the important concepts and are able to finish the assignments.
Who Should Take This Class?:: This 3-credit course meets the "mathematical thinking" requirements for liberal education. It also meets the ASHA (American Speech Language and Hearing Association) statistics requirement for graduate school application to SLP (Speech Language Pathology) and AuD (Audiology) programs. Students in all disciplines are welcome to take this course.
Learning Objectives:: The University of Minnesota recognizes seven student learning outcomes, as described at http://policy.umn.edu/Policies/Education/Education/UNDERGRADLEARNING.html These are the intended outcomes of receiving a bachelor's degree at the University. This course endeavors to address all of these outcomes, and focuses specifically on two of them: 1. Have mastered a body of knowledge and a mode of inquiry. 2. Can locate and critically evaluate information.
Grading:: 45% Exams (3)
15% Final project
30% Assignments
10% In-class/online exercises
Exam Format:: All exams are open book open notes. Students are allowed to use the computer during the exam. Each exam has 10 True/False questions (40%), 6 Multiple Choice questions (30%), and 5-10 short answer questions (30%). It takes up to 50 minutes (during lecture) to complete an exam. The final exam is replaced with the final project, which requires a Powerpoint presentation.
Class Format:: 40% Lecture
30% Discussion
30% Laboratory
Workload:: 20 Pages Reading Per Week
6 Assignments
3 Exam(s)
1 final project
In-class activities/exercises
Textbooks:: https://bookstores.umn.edu/course-lookup/53002/1233
Past Syllabi:: http://classinfo.umn.edu/syllabi/zhang470_SLHS1302_Spring2022.pdf (Spring 2022)
Instructor Supplied Information Last Updated:: 19 January 2022

ClassInfo Links - Spring 2023 Speech-Language-Hearing Sci Classes

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