2 classes matched your search criteria.

Spring 2022  |  SOC 3811 Section 001: Social Statistics (52496)

Instructor(s)
Class Component:
Lecture
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Class Attributes:
UMNTC Liberal Education Requirement
Times and Locations:
Regular Academic Session
 
01/18/2022 - 05/02/2022
Tue, Thu 09:45AM - 11:00AM
UMTC, West Bank
Anderson Hall 210
Enrollment Status:
Open (108 of 116 seats filled)
Also Offered:
Course Catalog Description:
This course will introduce majors and non-majors to basic statistical measures and procedures that are used to describe and analyze quantitative data in sociological research. The topics include (1) frequency and percentage distributions, (2) central tendency and dispersion, (3) probability theory and statistical inference, (4) models of bivariate analysis, and (5) basics of multivariate analysis. Lectures on these topics will be given in class, and lab exercises are designed to help students learn statistical skills and software needed to analyze quantitative data provided in the class. prereq: Credit will not be granted if credit has been received for Soc 5811 (Soc 5811 offered Fall terms only). Undergraduates with strong math background are encouraged to register for 5811 in lieu of 3811. Soc Majors/Minors must register A-F.
Class Notes:
Click this link for more detailed course information: http://classinfo.umn.edu/?bianx001+SOC3811+Spring2022
Class Description:
This course will introduce sociology majors to basic statistical measures and procedures that are used to describe and analyze quantitative data in sociological research. The topics include (1) frequency and percentage distributions, (2) central tendency and dispersion, (3) probability theory and statistical inference, (4) models of bivariate analysis, and (5) basics of multivariate analysis. Lectures on these topics will be given in class, and lab exercises are designed to help students learn statistical skills needed to analyze quantitative data provided in the class. In addition to attendance to lectures and labs, students are expected to read 15 pages of the text per week. There will be three exams. Students will need a simple calculator for assignments and exams. This course meets the CLE requirements for the Mathematical Thinking core. We explore the dual nature of social statistics as a body of knowledge with its own logic and way of thinking, and as a powerful tool for understanding and describing social reality. Students in this course are exposed to the mathematic knowledge that underlies key concepts, but they are also shown how each concept applies to real world social science issues and debates. They are asked to demonstrate their mastery of the mathematical concept and its practical application through in-class discussions, problem sets, and exam questions. Students are taught the mathematical foundations of probability and sampling theory; they are taught about sampling distributions; and they are shown the real-world implications of these ideas for how social science knowledge is gained through surveys of randomly sampled observations.
Who Should Take This Class?:
Sociology major.
Learning Objectives:
See full description under Class Description. Briefly, this is a requirement for a sociology major. You will learn basic quantitative analytic skills useful for senior thesis and a future research job.
Grading:
10% Class attendance
50% Problem solving assignments
40% Midterm exam !
05% End of course extra credit
Exam Format:
multiple choice, computational problems
Class Format:
65% Lecture
35% Laboratory
Workload:
10 pages per week reading (textbook and lecture notes)
10 out of 12 assignments and weekly problem solving labs
2 Exam(s)
Textbooks:
https://bookstores.umn.edu/course-lookup/52496/1223
Past Syllabi:
http://classinfo.umn.edu/syllabi/bianx001_SOC3811_Spring2020.pdf (Spring 2020)
http://classinfo.umn.edu/syllabi/bianx001_SOC3811_Spring2019.pdf (Spring 2019)
Instructor Supplied Information Last Updated:
18 September 2020

Spring 2022  |  SOC 3811 Section 008: Social Statistics (53600)

Instructor(s)
Class Component:
Lecture
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Class Attributes:
UMNTC Liberal Education Requirement
Times and Locations:
Regular Academic Session
 
01/18/2022 - 05/02/2022
Tue 05:30PM - 08:00PM
UMTC, West Bank
Hanson Hall 1-106
Enrollment Status:
Open (50 of 58 seats filled)
Also Offered:
Course Catalog Description:
This course will introduce majors and non-majors to basic statistical measures and procedures that are used to describe and analyze quantitative data in sociological research. The topics include (1) frequency and percentage distributions, (2) central tendency and dispersion, (3) probability theory and statistical inference, (4) models of bivariate analysis, and (5) basics of multivariate analysis. Lectures on these topics will be given in class, and lab exercises are designed to help students learn statistical skills and software needed to analyze quantitative data provided in the class. prereq: Credit will not be granted if credit has been received for Soc 5811 (Soc 5811 offered Fall terms only). Undergraduates with strong math background are encouraged to register for 5811 in lieu of 3811. Soc Majors/Minors must register A-F.
Class Notes:
Click this link for more detailed course information: http://classinfo.umn.edu/?lars3965+SOC3811+Spring2022
Class Description:
If the intellectual dividing line of the early 20th century was linguistic literacy, in the beginning of the 21st century, it is quantitative literacy. Careers spanning business, politics, law, and journalism increasingly demand skills in the statistical analysis of data. At the
same time, with frequent references to the findings of polls and studies in news reports, quantitative literacy has become essential to informed citizenship. SOC 3811 is a social science data analysis course designed for sociology majors, but is applicable to any student wanting to have an introductory to the statistical analysis of social data. In this course I will introduce students to the fundamental principles of the logic and execution of social quantitative research methods and statistics. You will develop skills in critically analyzing and producing social scientific research by examining issues pertaining to research design, sampling, conceptualization and operationalization of measures, data visualization, and a range of quantitative methods including descriptive, bivariate, and multivariate analyses. In addition to these statistical fundamentals, you will also think about where and when these skills are best put to responsible use. Whether you plan to go to graduate school, go into a data-driven job, or just want to be a better consumer of information, these skills should help students engage critically with quantitative information.
Learning Objectives:
1. Explain how researchers use data and statistical evidence to develop sociological insights.
2. Critically evaluate quantitative claims about the social world.
3. Statistically analyze social data in connection with research questions of interest.
4. Responsibly interpret the results of statistical analyses and summarize results effectively.
Grading:
Labs 20% 100 pts.
Short Papers 20% 100 pts.
Project 50% 250 pts.
"Scholarly Attitude" 10% 50 pts.
Exam Format:
No Exams
Textbooks:
https://bookstores.umn.edu/course-lookup/53600/1223
Instructor Supplied Information Last Updated:
26 October 2021

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