Fall 2023  |  SOC 3412H Section 001: Honors: Social Networking: Theories and Methods (21124)

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
Honors
Enrollment Requirements:
honors student
Meets With:
SOC 3412 Section 001
Times and Locations:
Regular Academic Session
 
09/05/2023 - 12/13/2023
Tue, Thu 01:00PM - 02:15PM
UMTC, West Bank
Anderson Hall 210
Enrollment Status:
Closed (6 of 6 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. 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. Additional special assignments will be discussed with honors participants who seek to earn honors credit toward the end of our first class session. Students will also be expected to meet as a group and individually with the professor four times during the course semester. Examples of additional requirements may include: · Sign up and prepare 3-4 discussion questions in advance of at least one class session. · Work with professor and TA on other small leadership tasks (class discussion, paper exchange, tour). · Write two brief (1-page) reflection papers on current news, or a two-page critique of a class reading · Attend a presentation, workshop, or seminar on a related topic for this class and write a 2 page maximum reflective paper. · Interview a current Sociology graduate student and present briefly in class or write a reflective piece, not more than 2 pages in length, to be submitted to the Professor. prereq: [SOC 1001] recommended, Sociology majors/minors must register A-F, honors
Class Notes:
Click this link for more detailed course information: http://classinfo.umn.edu/?knoke001+SOC3412H+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 Universities Technology and Society CLE 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/21124/1239
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

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