2 classes matched your search criteria.

Spring 2020  |  SOC 3811 Section 001: Social Statistics (51892)

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
 
01/21/2020 - 05/04/2020
Tue, Thu 09:45AM - 11:00AM
UMTC, West Bank
Anderson Hall 310
Enrollment Status:
Open (179 of 180 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 information: http://classinfo.umn.edu/?knoke001+SOC3811+Spring2020
Class Description:
This is a social statistics course that emphasizes describing data and testing hypotheses. Lectures expose students to the theoretical bases of statistical methods and how to use them in social research. Laboratory sessions teach computing skills and data manipulation techniques. Test problems and lab assignments help students to gain knowledge of basic descriptive and inferential statistics, including frequency distributions, means tests, correlation and regression. Many examples are drawn from diverse sociological topics and illustrated with national survey data.
Who Should Take This Class?:
Sociology majors and students from other disciplines.
Learning Objectives:
Acquire knowledge of basic statistical principles and computation methods, applied to real social data. Ability to read and understand articles that analyze social data.
Grading:
75% Three Exams
25% Two computer data analysis assignments.
Exam Format:
Computations
Short Answer
Class Format:
60% Lecture
40% Laboratory
Workload:
10-35 PowerPoint slides reading per week; 2 computer problem sets; 3 exams.
Textbooks:
https://bookstores.umn.edu/course-lookup/51892/1203
Instructor Supplied Information Last Updated:
4 November 2019

Spring 2020  |  SOC 3811 Section 008: Social Statistics (53080)

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
 
01/21/2020 - 05/04/2020
Tue 05:30PM - 08:00PM
UMTC, West Bank
Blegen Hall 150
Enrollment Status:
Closed (60 of 60 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+Spring2020
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)
Weekly problem solving lab and assignment
3 Exam(s)
Textbooks:
https://bookstores.umn.edu/course-lookup/53080/1203
Syllabus:
http://classinfo.umn.edu/syllabi/bianx001_SOC3811_Spring2020.pdf
Past Syllabi:
http://classinfo.umn.edu/syllabi/bianx001_SOC3811_Spring2024.pdf (Spring 2024)
http://classinfo.umn.edu/syllabi/bianx001_SOC3811_Spring2019.pdf (Spring 2019)
Instructor Supplied Information Last Updated:
2 October 2018

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