SOC 3412 is also offered in Fall 2023
SOC 3412 is also offered in Fall 2022
Fall 2023 | SOC 3412 Section 001: Social Networking: Theories and Methods (21123)
- Instructor(s)
- Class Component:
- Lecture
- Credits:
- 3 Credits
- Grading Basis:
- A-F only
- Instructor Consent:
- No Special Consent Required
- Instruction Mode:
- In Person
- Class Attributes:
UMNTC Liberal Education Requirement
- Meets With:
SOC 3412H Section 001
- Times and Locations:
Regular Academic Session
Tue,
Thu 01:00PM - 02:15PM
UMTC, West Bank
Anderson Hall 210
- Enrollment Status:
Open (70 of 74 seats filled)
- Also Offered:
- Course Catalog Description:
- Network analysis spans a diverse range of phenomena from ego-centric ties, to small work-team sociograms, to organizational relations, to trade and military alliances among nation states. This course introduces undergraduate students to theories and methods for studying social networks, the ties connecting people, groups, and organizations. Topics include friendship, communication, small group, health, sexual and romantic, corporate, social movement, public policy, innovation diffusion, criminal and terrorist, and Internet networks.' prereq: [SOC 1001] recommended, Sociology majors/minors must register A-F
- Class Notes:
- Click this link for more detailed course information: http://classinfo.umn.edu/?knoke001+SOC3412+Fall2023
- Class Description:
- This course introduces students to theories and methods for studying social networks, the ties connecting people, groups, organizations, and nations. Topics include friendship, communication, small group, health, sexual, corporate, social movement, public policy, innovation diffusion, criminal and terrorist, and Internet networks. We investigate network analysis as a distinctive perspective from which to view, understand, and act in an increasingly interdependent world. This course gives student skills to see different sides of controversial issues, develop their critical reasoning abilities, and form ethical standards to participate in society as thoughtful, well-informed, and engaged citizens. Students will be learn how to read, interpret, and create social network diagrams, and to understand how these maps reveal detailed connections among social actors. Students will learn how to perform some basic network analyses of previously collected datasets, using a computer package. Computer programming skill is NOT a prerequisite. Honors students are expected to demonstrate greater depth of discussion, depth and to a degree length of writing assignments, presentations, and leadership of the students. This course meets the University of Minnesota's Technology and Society Theme requirement.
- Grading:
- Course grade is determined by highest scores on 4 of 5 social network data analysis assignments (60%) and a course paper not to exceed 3,000 words (40%).
- Exam Format:
- No exams
- Class Format:
- Lecture & discussions on Tuesdays, data analysis laboratory on Thursdays.
- Workload:
- One article + one chapter from a textbook on social network data analysis per week.
- Textbooks:
- https://bookstores.umn.edu/course-lookup/21123/1239
- Past Syllabi:
- http://classinfo.umn.edu/syllabi/knoke001_SOC3412H_Spring2016.pdf (Spring 2016)
- Instructor Supplied Information Last Updated:
- 12 October 2015
ClassInfo Links - Fall 2023 Sociology Classes