2 classes matched your search criteria.

Spring 2018  |  POL 4085 Section 001: Advanced Political Data Analysis (67989)

Instructor(s)
Class Component:
Lecture
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Times and Locations:
Regular Academic Session
 
01/16/2018 - 05/04/2018
Tue, Thu 11:15AM - 12:30PM
UMTC, West Bank
Blegen Hall 430
Enrollment Status:
Open (11 of 25 seats filled)
Course Catalog Description:
In this course, students learn how to use statistical methods to answer a wide variety of questions in political science. More specifically, students will focus on how to test hypotheses where the dependent variable is dichotomous, ordered categories, unordered categories, counts, and more. The course covers advanced topics in linear regression, including time series data, multilevel modeling, and interaction terms. Assignments focus on how to convey statistical results in many different ways, ranging from technical reports, to blog posts, to personal communication. Students will learn and improve their skills in the R statistical software package. Prior knowledge of R is not required. This class is especially recommended for students completing an undergraduate thesis with a quantitative component as well as students who want to pursue graduate studies in political science.
Class Notes:
http://classinfo.umn.edu/?jlsumner+POL4085+Spring2018
Class Description:
POL 4085 will teach students how to use statistical methods to answer a wide variety of questions related to political science. This class picks up where POL 3085 leaves off -- while POL 3085 focuses on research design and covers linear regression, many of the phenomena we seek to explain in political science are not continuous variables and thus are not suited to linear regression. Accordingly, this class focuses on how to test hypotheses where the dependent variable is dichotomous (Does civil war break out or not?), ordered categories (How do people feel about free trade? Strongly support? Support? Strongly oppose?), unordered categories (Which party do citizens affiliate with?), counts (How many deaths result in war?), and more. As statistical literacy and communication are increasingly sought-after skills in the workplace, assignments in the class focus on how to convey statistical results in many different ways, ranging from technical reports to blog posts to personal communication. Additionally, throughout the course, students will learn and improve their skills in the R statistical software package. Prior knowledge of R is not required. This class is especially recommended for students completing an undergraduate thesis with a quantitative component as well as students who want to pursue graduate studies in political science.
Who Should Take This Class?:
POL 4085 is highly recommended for students who have taken POL 3085 and want to learn more about quantitative analysis in political science, and especially so if they are completing a thesis with a quantitative component or are interested in applying to graduate school.
Grading:
Grading is based on a series of problem sets, a final paper and poster, and participation.
Exam Format:
No exams.
Textbooks:
https://bookstores.umn.edu/course-lookup/67989/1183
Instructor Supplied Information Last Updated:
17 October 2017

Spring 2018  |  POL 4085 Section 002: Advanced Political Data Analysis (69585)

Instructor(s)
Class Component:
Laboratory
Credits:
4 Credits
Grading Basis:
A-F only
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Times and Locations:
Regular Academic Session
 
01/16/2018 - 05/04/2018
Tue 02:30PM - 03:20PM
UMTC, West Bank
Blegen Hall 105
Enrollment Status:
Open (11 of 25 seats filled)
Course Catalog Description:
In this course, students learn how to use statistical methods to answer a wide variety of questions in political science. More specifically, students will focus on how to test hypotheses where the dependent variable is dichotomous, ordered categories, unordered categories, counts, and more. The course covers advanced topics in linear regression, including time series data, multilevel modeling, and interaction terms. Assignments focus on how to convey statistical results in many different ways, ranging from technical reports, to blog posts, to personal communication. Students will learn and improve their skills in the R statistical software package. Prior knowledge of R is not required. This class is especially recommended for students completing an undergraduate thesis with a quantitative component as well as students who want to pursue graduate studies in political science.
Class Description:
POL 4085 will teach students how to use statistical methods to answer a wide variety of questions related to political science. This class picks up where POL 3085 leaves off -- while POL 3085 focuses on research design and covers linear regression, many of the phenomena we seek to explain in political science are not continuous variables and thus are not suited to linear regression. Accordingly, this class focuses on how to test hypotheses where the dependent variable is dichotomous (Does civil war break out or not?), ordered categories (How do people feel about free trade? Strongly support? Support? Strongly oppose?), unordered categories (Which party do citizens affiliate with?), counts (How many deaths result in war?), and more. As statistical literacy and communication are increasingly sought-after skills in the workplace, assignments in the class focus on how to convey statistical results in many different ways, ranging from technical reports to blog posts to personal communication. Additionally, throughout the course, students will learn and improve their skills in the R statistical software package. Prior knowledge of R is not required. This class is especially recommended for students completing an undergraduate thesis with a quantitative component as well as students who want to pursue graduate studies in political science.
Who Should Take This Class?:
POL 4085 is highly recommended for students who have taken POL 3085 and want to learn more about quantitative analysis in political science, and especially so if they are completing a thesis with a quantitative component or are interested in applying to graduate school.
Grading:
Grading is based on a series of problem sets, a final paper and poster, and participation.
Exam Format:
No exams.
Textbooks:
https://bookstores.umn.edu/course-lookup/69585/1183
Instructor Supplied Information Last Updated:
17 October 2017

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