3 classes matched your search criteria.

Fall 2020  |  SLHS 1302 Section 001: Rate Your World: Quantifying Judgments of Human Behavior (14826)

Instructor(s)
Class Component:
Lecture
Instructor Consent:
No Special Consent Required
Instruction Mode:
Completely Online
Class Attributes:
UMNTC Liberal Education Requirement
Online Course
Times and Locations:
Regular Academic Session
 
09/08/2020 - 12/16/2020
Off Campus
Virtual Rooms ONLINEONLY
Enrollment Status:
Open (21 of 76 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 Notes:
This course is completely online in an asynchronous format. There are no scheduled meeting times. http://classinfo.umn.edu/?SLHS1302+Fall2020
Class Description:
This course will allow students with little mathematics background to learn basic quantitative methods as they apply to measuring human behavior. Introductory mathematical principles will be applied to measuring behaviors such as: rating personality and attention, evaluating infant speech perception, studying opinion polls, measuring voice and sound, and quantifying speech recognition through cochlear implants. Material will be presented using a mixture of lecture and hands-on activities in class. Mid-term and final examinations will focus on lecture material. In-class activities will be analyzed and written into short reports.
Grading:
25% Midterm Exam
25% Final Exam
50% Reports/Papers
Class Format:
40% Lecture
30% Discussion
30% Laboratory
Workload:
20 Pages Reading Per Week
20 Pages Writing Per Term
2 Exam(s)
Other Workload: 5 mini reports
Textbooks:
https://bookstores.umn.edu/course-lookup/14826/1209
Past Syllabi:
http://classinfo.umn.edu/syllabi/zhang470_SLHS1302_Spring2022.pdf (Spring 2022)
Instructor Supplied Information Last Updated:
4 September 2007

Fall 2020  |  SLHS 1302 Section 002: Rate Your World: Quantifying Judgments of Human Behavior (15044)

Instructor(s)
No instructor assigned
Class Component:
Discussion
Credits:
3 Credits
Grading Basis:
Student Option
Instructor Consent:
No Special Consent Required
Instruction Mode:
Completely Online
Class Attributes:
UMNTC Liberal Education Requirement
Online Course
Times and Locations:
Regular Academic Session
 
09/08/2020 - 12/16/2020
Off Campus
Virtual Rooms ONLINEONLY
Enrollment Status:
Open (16 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 Notes:
This course is completely online in an asynchronous format. There are no scheduled meeting times. http://classinfo.umn.edu/?SLHS1302+Fall2020
Class Description:
This course will allow students with little mathematics background to learn basic quantitative methods as they apply to measuring human behavior. Introductory mathematical principles will be applied to measuring behaviors such as: rating personality and attention, evaluating infant speech perception, studying opinion polls, measuring voice and sound, and quantifying speech recognition through cochlear implants. Material will be presented using a mixture of lecture and hands-on activities in class. Mid-term and final examinations will focus on lecture material. In-class activities will be analyzed and written into short reports.
Grading:
25% Midterm Exam
25% Final Exam
50% Reports/Papers
Class Format:
40% Lecture
30% Discussion
30% Laboratory
Workload:
20 Pages Reading Per Week
20 Pages Writing Per Term
2 Exam(s)
Other Workload: 5 mini reports
Textbooks:
https://bookstores.umn.edu/course-lookup/15044/1209
Instructor Supplied Information Last Updated:
4 September 2007

Fall 2020  |  SLHS 1302 Section 003: Rate Your World: Quantifying Judgments of Human Behavior (15043)

Instructor(s)
No instructor assigned
Class Component:
Discussion
Credits:
3 Credits
Grading Basis:
Student Option
Instructor Consent:
No Special Consent Required
Instruction Mode:
Completely Online
Class Attributes:
UMNTC Liberal Education Requirement
Online Course
Pre-Covid
Times and Locations:
Regular Academic Session
 
09/08/2020 - 12/16/2020
Off Campus
Virtual Rooms ONLINEONLY
Enrollment Status:
Open (5 of 30 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 Notes:
This course is completely online in an asynchronous format. There are no scheduled meeting times. http://classinfo.umn.edu/?SLHS1302+Fall2020
Class Description:
This course will allow students with little mathematics background to learn basic quantitative methods as they apply to measuring human behavior. Introductory mathematical principles will be applied to measuring behaviors such as: rating personality and attention, evaluating infant speech perception, studying opinion polls, measuring voice and sound, and quantifying speech recognition through cochlear implants. Material will be presented using a mixture of lecture and hands-on activities in class. Mid-term and final examinations will focus on lecture material. In-class activities will be analyzed and written into short reports.
Grading:
25% Midterm Exam
25% Final Exam
50% Reports/Papers
Class Format:
40% Lecture
30% Discussion
30% Laboratory
Workload:
20 Pages Reading Per Week
20 Pages Writing Per Term
2 Exam(s)
Other Workload: 5 mini reports
Textbooks:
https://bookstores.umn.edu/course-lookup/15043/1209
Instructor Supplied Information Last Updated:
4 September 2007

ClassInfo Links - Fall 2020 Speech-Language-Hearing Sci Classes

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