3 classes matched your search criteria.

Spring 2020  |  SLHS 1302 Section 001: Rate Your World: Quantifying Judgments of Human Behavior (53184)

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
 
01/21/2020 - 05/04/2020
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 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/53184/1203
Past Syllabi:
http://classinfo.umn.edu/syllabi/zhang470_SLHS1302_Spring2022.pdf (Spring 2022)
Instructor Supplied Information Last Updated:
4 September 2007

Spring 2020  |  SLHS 1302 Section 002: Rate Your World: Quantifying Judgments of Human Behavior (53429)

Instructor(s)
Class Component:
Discussion
Class Attributes:
UMNTC Liberal Education Requirement
Times and Locations:
Regular Academic Session
 
01/21/2020 - 05/04/2020
Tue 01:00PM - 02:00PM
UMTC, East Bank
Virtual Rooms ROOM-TBA
Auto Enrolls With:
Section 001
Enrollment Status:
Open (4 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 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/53429/1203
Instructor Supplied Information Last Updated:
4 September 2007

Spring 2020  |  SLHS 1302 Section 003: Rate Your World: Quantifying Judgments of Human Behavior (53430)

Instructor(s)
Class Component:
Discussion
Class Attributes:
UMNTC Liberal Education Requirement
Online Course
Times and Locations:
Regular Academic Session
 
01/21/2020 - 05/04/2020
Thu 08:00AM - 08:50AM
Off Campus
Virtual Rooms ONLINEONLY
Auto Enrolls With:
Section 001
Enrollment Status:
Open (9 of 25 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:
Online delivery of Lab section 003.
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/53430/1203
Instructor Supplied Information Last Updated:
4 September 2007

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

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