7 classes matched your search criteria.
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 Session09/05/2023 - 12/13/2023Tue, Thu 01:00PM - 02:15PMUMTC, West BankAnderson 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 Session09/06/2022 - 12/14/2022Tue, Thu 01:00PM - 02:15PMUMTC, West BankBlegen 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 RequirementOnline Course
- Times and Locations:
- Regular Academic Session09/08/2020 - 12/16/2020Off CampusVirtual 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 courseThe 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 Session01/22/2019 - 05/06/2019Mon, Wed 11:15AM - 12:30PMUMTC, West BankBlegen 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 courseThe 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 Session01/16/2018 - 05/04/2018Mon, Wed 09:45AM - 11:00AMUMTC, West BankBlegen 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 Session01/19/2016 - 05/06/2016Tue, Thu 02:30PM - 03:45PMUMTC, West BankAnderson 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 Session01/20/2015 - 05/08/2015Tue, Thu 02:30PM - 03:45PMUMTC, West BankBlegen 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
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