2 classes matched your search criteria.

Spring 2022  |  SLHS 1302 Section 001: Rate Your World: Quantifying Judgments of Human Behavior (53698)

Instructor(s)
Class Component:
Lecture
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Class Attributes:
UMNTC Liberal Education Requirement
Freshman Full Year Registration
Times and Locations:
Regular Academic Session
 
01/18/2022 - 05/02/2022
Tue, Thu 10:10AM - 11:00AM
UMTC, East Bank
Shevlin Hall 110
Enrollment Status:
Open (13 of 52 seats filled)
Also Offered:
Course Catalog Description:
Methods for acquiring, summarizing, and analyzing judgments of human behavior. Measurement theory as it relates to ratings scales and physiological measures of behavior. Methods for summarizing and visualizing large sets of data, such as those used in research in the social sciences. Statistical analyses of data on human behavior. This course focuses strongly on using computational methods for analyzing and visualizing behavioral data using free open-course statistical software. Weekly laboratory sessions.
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/53698/1223
Syllabus:
http://classinfo.umn.edu/syllabi/zhang470_SLHS1302_Spring2022.pdf
Instructor Supplied Information Last Updated:
19 January 2022

Spring 2022  |  SLHS 1302 Section 003: Rate Your World: Quantifying Judgments of Human Behavior (53929)

Instructor(s)
Class Component:
Discussion
Class Attributes:
UMNTC Liberal Education Requirement
Times and Locations:
Regular Academic Session
 
01/18/2022 - 05/02/2022
Thu 08:00AM - 08:50AM
Off Campus
UMN REMOTE
Auto Enrolls With:
Section 001
Enrollment Status:
Open (13 of 35 seats filled)
Course Catalog Description:
Methods for acquiring, summarizing, and analyzing judgments of human behavior. Measurement theory as it relates to ratings scales and physiological measures of behavior. Methods for summarizing and visualizing large sets of data, such as those used in research in the social sciences. Statistical analyses of data on human behavior. This course focuses strongly on using computational methods for analyzing and visualizing behavioral data using free open-course statistical software. Weekly laboratory sessions.
Class Notes:
This course has two components. The lab/discussion section (003) will have online materials that are delivered in an asynchronous format. There will be scheduled meeting times for in-person lecture, Tuesdays and Thursdays 10:10 - 11:00 am.
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/53929/1223
Syllabus:
http://classinfo.umn.edu/syllabi/zhang470_SLHS1302_Spring2022.pdf
Instructor Supplied Information Last Updated:
19 January 2022

ClassInfo Links - Spring 2022 Speech-Language-Hearing Sci Classes

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