Summer 2020 | SOC 3811 Section 001: Social Statistics (82836)
- Class Component:
- Instructor Consent:
- No Special Consent Required
- Instruction Mode:
- Completely Online
- Class Attributes:
- UMNTC Liberal Education RequirementOnline Course
- Times and Locations:
- Summer Session 10 wk06/08/2020 - 08/14/2020Tue, Thu 03:30PM - 05:20PMOff CampusVirtual Rooms ONLINEONLY
- Enrollment Status:
- Open (29 of 31 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/?rajas011+SOC3811+Summer2020 This class has synchronous online meetings; the lecture is scheduled to meet Tue & Thur afternoons from 3:30-5:20, and the lab on Tuesdays from 1:30-3:15.
- Class Description:
- This course fulfills the Math Core CLE as designated by UMN - College of Liberal Arts
In this online-based course, we will work through the basics of statistics. We will emphasize research questions and research methods from social science, but the statistical concepts, theories, and tools you will learn in this course can be applied in many fields.
"Statistics" can be intimidating, and I'm sure several of you have seen statistics as a series of complicated terms, fancy mathematical symbols, and jargon-gobbledygook. I understand that feeling! My hope that this course will show you that with a little practice, anyone can become proficient and comfortable with stats.This class has been changed to ASYNCHRONOUS teaching; you will read and watch presentation materials, take quizzes, and complete assignments on your own schedule. You have the option to attend a weekly discussion section on via Zoom Tuesdays from 1:30-3:15 (this is not required).
- Who Should Take This Class?:
- This class is useful for students in all majors. All skill-levels and experience with statistics are welcome, but this class is intended for beginners.
- Learning Objectives:
- --Learn the basics of interpreting and using statistics to answer research questions--Learn how the logic of statistics is based on mathematical concepts and probability-relationships--Think critically about how statistical conclusions and arguments are used in general society--Gain beginner-level experience working with statistical software--Gain beginner-level experience in creating statistical conclusions from research data
- This class is offered through a standard A through F grading scale (S/N registration is allowed for non soc majors). More details to follow in syllabus
- Exam Format:
- Quizzes and/or exams will be offered online as a combination of multiple-choice and short-answer essays. These are timed. They will be open-note and open-book.
- Class Format:
- Each week, class has presentation material equivalent to 2 Lecture Sessions and 1 optional Discussion/Lab Session held through Zoom via the UMN.In lab, you will be working with statistical data and software with your classmates, TA, and/or myself, and I therefore highly recommend you do your best to be online for lab.
- 4 Unit Quizzes (30 - 60 min each)2 Lab Assignments / Activities (2 - 4 pages each)1 -2 Reflections/ Participation Activities (less than 1 page each)Weekly reading (25- 50 pages)
- Instructor Supplied Information Last Updated:
- 31 May 2020
ClassInfo Links - Summer 2020 Sociology Classes
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