7 classes matched your search criteria.

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
 
09/05/2023 - 12/13/2023
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

Fall 2022  |  SOC 3412 Section 001: Social Networking: Theories and Methods (32715)

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
 
09/06/2022 - 12/14/2022
Tue, Thu 01:00PM - 02:15PM
UMTC, West Bank
Blegen Hall 255
Enrollment Status:
Open (74 of 75 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+Fall2022
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/32715/1229
Past Syllabi:
http://classinfo.umn.edu/syllabi/knoke001_SOC3412H_Spring2016.pdf (Spring 2016)
Instructor Supplied Information Last Updated:
12 October 2015

Fall 2020  |  SOC 3412 Section 001: Social Networking: Theories and Methods (31559)

Instructor(s)
Class Component:
Lecture
Credits:
3 Credits
Grading Basis:
Student Option No Audit
Instructor Consent:
No Special Consent Required
Instruction Mode:
Completely Online
Class Attributes:
UMNTC Liberal Education Requirement
Online Course
Times and Locations:
Regular Academic Session
 
09/08/2020 - 12/16/2020
Off Campus
Virtual Rooms ONLINEONLY
Enrollment Status:
Closed (80 of 80 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:
This course is completely online in an asynchronous format. There are no scheduled meeting times. 15 reserved for Soc BS majors. Click this link for more detailed information: http://classinfo.umn.edu/?hamil639+SOC3412+Fall2020
Class Description:
This course introduces undergraduate students to theories and methods for studying social networks, the ties connecting people, groups, and organizations. The principles that students learn in this course will enable them to study advanced network topics of their choosing.

About half of the class meetings will be devoted to learning and practicing network analysis methods. Students will learn how to perform some basic network analyses of previously collected datasets, using the UCINET computer package. We'll also explore network visualizations using NetDraw, a spatial plotting program. Computer programming skill is not a prerequisite for this course

The course is conducted in lecture, discussion, and lab formats. Class meetings consist of three types of activities: (1) an overview of the main aspects of a topic, in a formal presentation by the instructor; (2) open discussions among all participants of key issues, applications to empirical research, and potential directions for future developments; and (3) laboratory sessions in network data analysis methods, led by the instructor and TA. Labs will be held on Wednesdays. Students should bring their laptops to the lab sessions to analyze network data.
Grading:
4 Assignments, 20 points each / 80 points total / 80% of overall grade

8 in-class assignments, 2.5 points each / 20 points total / 20% of overall grade

Exam Format:
There are no exams. Students will be assessed on four UCINET data assignments throughout the semester.
Class Format:
The class will be a combination of lecture and lab sections.
Workload:
Students should expect to read approximately 15-30 pages per week.
Textbooks:
https://bookstores.umn.edu/course-lookup/31559/1209
Instructor Supplied Information Last Updated:
2 October 2018

Spring 2019  |  SOC 3412 Section 001: Social Networking: Theories and Methods (55608)

Instructor(s)
Class Component:
Lecture
Credits:
3 Credits
Grading Basis:
A-F only
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Class Attributes:
UMNTC Liberal Education Requirement
Times and Locations:
Regular Academic Session
 
01/22/2019 - 05/06/2019
Mon, Wed 11:15AM - 12:30PM
UMTC, West Bank
Blegen Hall 317
Enrollment Status:
Closed (80 of 80 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:
23 seats reserved for sociology BS majors through 11/27/2018. Click this link for more detailed course information: http://classinfo.umn.edu/?hamil639+SOC3412+Spring2019
Class Description:
This course introduces undergraduate students to theories and methods for studying social networks, the ties connecting people, groups, and organizations. The principles that students learn in this course will enable them to study advanced network topics of their choosing.

About half of the class meetings will be devoted to learning and practicing network analysis methods. Students will learn how to perform some basic network analyses of previously collected datasets, using the UCINET computer package. We'll also explore network visualizations using NetDraw, a spatial plotting program. Computer programming skill is not a prerequisite for this course

The course is conducted in lecture, discussion, and lab formats. Class meetings consist of three types of activities: (1) an overview of the main aspects of a topic, in a formal presentation by the instructor; (2) open discussions among all participants of key issues, applications to empirical research, and potential directions for future developments; and (3) laboratory sessions in network data analysis methods, led by the instructor and TA. Labs will be held on Wednesdays. Students should bring their laptops to the lab sessions to analyze network data.
Grading:
4 Assignments, 20 points each / 80 points total / 80% of overall grade

8 in-class assignments, 2.5 points each / 20 points total / 20% of overall grade

Exam Format:
There are no exams. Students will be assessed on four UCINET data assignments throughout the semester.
Class Format:
The class will be a combination of lecture and lab sections.
Workload:
Students should expect to read approximately 15-30 pages per week.
Textbooks:
https://bookstores.umn.edu/course-lookup/55608/1193
Instructor Supplied Information Last Updated:
2 October 2018

Spring 2018  |  SOC 3412 Section 001: Social Networking: Theories and Methods (67265)

Instructor(s)
Class Component:
Lecture
Credits:
3 Credits
Grading Basis:
A-F only
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Class Attributes:
UMNTC Liberal Education Requirement
Meets With:
SOC 3412H Section 001
Times and Locations:
Regular Academic Session
 
01/16/2018 - 05/04/2018
Mon, Wed 09:45AM - 11:00AM
UMTC, West Bank
Blegen Hall 255
Enrollment Status:
Open (73 of 78 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.
Class Notes:
30 seats reserved for sociology BS majors through 12/4/2017 Click this link for more detailed course information: http://classinfo.umn.edu/?almquist+SOC3412+Spring2018
Class Description:
SOC 3412 is an introduction to Social Network Analysis (SNA) and will cover the theory of SNA and its applications to real world phenomena. This course will cover basic methods for collecting, modeling and visualizing human social connections, including applications to social media, public health and politics. The course is divided into five parts, beginning with network thinking and ending with an example of how social networks influence voting behavior. Over the course of 15 weeks students will be exposed to how to think relationally, how to visualize social networks, how to collect data on social networks, how to measure and find signal in social networks, and finally how to understand how information/disease/ideas spread over social networks. Last, the student will also be given the opportunity to acquire competency in basic data management and analysis tasks within the R statistical programing environment.

Honors students are expected to demonstrate greater depth of understanding and will do so through an honors project (see section on Honors Requirements in the syllabus for full details).
Grading:
A-F
Class Format:
Lecture
Workload:
This class will consist of regular bi-weekly homework and 3 in-class exams.
Textbooks:
https://bookstores.umn.edu/course-lookup/67265/1183
Instructor Supplied Information Last Updated:
19 October 2017

Spring 2016  |  SOC 3412 Section 001: Social Networking: Theories and Methods (68233)

Instructor(s)
Class Component:
Lecture
Credits:
3 Credits
Grading Basis:
A-F only
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Class Attributes:
UMNTC Liberal Education Requirement
Meets With:
SOC 3412H Section 001
Times and Locations:
Regular Academic Session
 
01/19/2016 - 05/06/2016
Tue, Thu 02:30PM - 03:45PM
UMTC, West Bank
Anderson Hall 230
Also Offered:
Course Catalog Description:
Introduces theories/methods for studying social networks, ties connecting people, groups, organizations. Friendship, communication, small group, health, sexual, corporate, social movement, public policy, innovation diffusion, criminal/terrorist, Internet networks.
Class Notes:
Click this link for more detailed information http://classinfo.umn.edu/?knoke001+SOC3412+Spring2016
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/68233/1163
Syllabus:
http://classinfo.umn.edu/syllabi/knoke001_SOC3412H_Spring2016.pdf
Instructor Supplied Information Last Updated:
12 October 2015

Spring 2015  |  SOC 3412 Section 001: Social Networking: Theories and Methods (67955)

Instructor(s)
Class Component:
Lecture
Credits:
3 Credits
Grading Basis:
A-F only
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Class Attributes:
UMNTC Liberal Education Requirement
Meets With:
SOC 3412H Section 001
Times and Locations:
Regular Academic Session
 
01/20/2015 - 05/08/2015
Tue, Thu 02:30PM - 03:45PM
UMTC, West Bank
Blegen Hall 250
Also Offered:
Course Catalog Description:
Introduces theories/methods for studying social networks, ties connecting people, groups, organizations. Friendship, communication, small group, health, sexual, corporate, social movement, public policy, innovation diffusion, criminal/terrorist, Internet networks.
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.
Textbooks:
https://bookstores.umn.edu/course-lookup/67955/1153
Past Syllabi:
http://classinfo.umn.edu/syllabi/knoke001_SOC3412H_Spring2016.pdf (Spring 2016)
Instructor Supplied Information Last Updated:
20 October 2014

ClassInfo Links - Sociology Classes

To link directly to this ClassInfo page from your website or to save it as a bookmark, use:
http://classinfo.umn.edu/?subject=SOC&catalog_nbr=3412
To see a URL-only list for use in the Faculty Center URL fields, use:
http://classinfo.umn.edu/?subject=SOC&catalog_nbr=3412&url=1
To see this page output as XML, use:
http://classinfo.umn.edu/?subject=SOC&catalog_nbr=3412&xml=1
To see this page output as JSON, use:
http://classinfo.umn.edu/?subject=SOC&catalog_nbr=3412&json=1
To see this page output as CSV, use:
http://classinfo.umn.edu/?subject=SOC&catalog_nbr=3412&csv=1