PSCI1800 - Introduction to Data Science

Status
A
Activity
REC
Section number integer
206
Title (text only)
Introduction to Data Science
Term
2024C
Subject area
PSCI
Section number only
206
Section ID
PSCI1800206
Course number integer
1800
Meeting times
W 8:30 PM-9:29 PM
Level
undergraduate
Instructors
Matthew Levendusky
Lauren Palladino
Description
Understanding and interpreting large datasets is increasingly central in political and social science. From polling, to policing, to economic inequality, to international trade, knowing how to work with data will allow you to shed light on a wide variety of substantive topics. This is a first course in a 4-course sequence that teaches students how to work with and analyze data. This class focuses on data acquisition, management, and visualization, the core skills needed to do data science. Leaving this course, students will be able to acquire, input, format, analyze, and visualize various types of political and social science data using the statistical programming language R. While no background in statistics or political science is required, students are expected to be generally familiar with contemporary computing environments (e.g. know how to use a computer) and have a willingness to learn a variety of data science tools. Leaving this class, students will be prepared to deepen their R skills in PSCI 3800, and then use their R skills to learn statistics in PSCI 1801 and 3801. They will also be ready to use their R skills in courses in other disciplines as well.
Course number only
1800
Fulfills
Quantitative Data Analysis
Use local description
No

PSCI1800 - Introduction to Data Science

Status
A
Activity
REC
Section number integer
205
Title (text only)
Introduction to Data Science
Term
2024C
Subject area
PSCI
Section number only
205
Section ID
PSCI1800205
Course number integer
1800
Meeting times
F 3:30 PM-4:29 PM
Level
undergraduate
Description
Understanding and interpreting large datasets is increasingly central in political and social science. From polling, to policing, to economic inequality, to international trade, knowing how to work with data will allow you to shed light on a wide variety of substantive topics. This is a first course in a 4-course sequence that teaches students how to work with and analyze data. This class focuses on data acquisition, management, and visualization, the core skills needed to do data science. Leaving this course, students will be able to acquire, input, format, analyze, and visualize various types of political and social science data using the statistical programming language R. While no background in statistics or political science is required, students are expected to be generally familiar with contemporary computing environments (e.g. know how to use a computer) and have a willingness to learn a variety of data science tools. Leaving this class, students will be prepared to deepen their R skills in PSCI 3800, and then use their R skills to learn statistics in PSCI 1801 and 3801. They will also be ready to use their R skills in courses in other disciplines as well.
Course number only
1800
Fulfills
Quantitative Data Analysis
Use local description
No

PSCI1800 - Introduction to Data Science

Status
A
Activity
REC
Section number integer
204
Title (text only)
Introduction to Data Science
Term
2024C
Syllabus URL
Subject area
PSCI
Section number only
204
Section ID
PSCI1800204
Course number integer
1800
Meeting times
W 7:00 PM-7:59 PM
Level
undergraduate
Instructors
Matthew Levendusky
Lauren Palladino
Description
Understanding and interpreting large datasets is increasingly central in political and social science. From polling, to policing, to economic inequality, to international trade, knowing how to work with data will allow you to shed light on a wide variety of substantive topics. This is a first course in a 4-course sequence that teaches students how to work with and analyze data. This class focuses on data acquisition, management, and visualization, the core skills needed to do data science. Leaving this course, students will be able to acquire, input, format, analyze, and visualize various types of political and social science data using the statistical programming language R. While no background in statistics or political science is required, students are expected to be generally familiar with contemporary computing environments (e.g. know how to use a computer) and have a willingness to learn a variety of data science tools. Leaving this class, students will be prepared to deepen their R skills in PSCI 3800, and then use their R skills to learn statistics in PSCI 1801 and 3801. They will also be ready to use their R skills in courses in other disciplines as well.
Course number only
1800
Fulfills
Quantitative Data Analysis
Use local description
No

PSCI1800 - Introduction to Data Science

Status
A
Activity
REC
Section number integer
203
Title (text only)
Introduction to Data Science
Term
2024C
Syllabus URL
Subject area
PSCI
Section number only
203
Section ID
PSCI1800203
Course number integer
1800
Meeting times
W 5:15 PM-6:14 PM
Level
undergraduate
Instructors
Matthew Levendusky
Lauren Palladino
Description
Understanding and interpreting large datasets is increasingly central in political and social science. From polling, to policing, to economic inequality, to international trade, knowing how to work with data will allow you to shed light on a wide variety of substantive topics. This is a first course in a 4-course sequence that teaches students how to work with and analyze data. This class focuses on data acquisition, management, and visualization, the core skills needed to do data science. Leaving this course, students will be able to acquire, input, format, analyze, and visualize various types of political and social science data using the statistical programming language R. While no background in statistics or political science is required, students are expected to be generally familiar with contemporary computing environments (e.g. know how to use a computer) and have a willingness to learn a variety of data science tools. Leaving this class, students will be prepared to deepen their R skills in PSCI 3800, and then use their R skills to learn statistics in PSCI 1801 and 3801. They will also be ready to use their R skills in courses in other disciplines as well.
Course number only
1800
Fulfills
Quantitative Data Analysis
Use local description
No

PSCI1800 - Introduction to Data Science

Status
A
Activity
REC
Section number integer
202
Title (text only)
Introduction to Data Science
Term
2024C
Syllabus URL
Subject area
PSCI
Section number only
202
Section ID
PSCI1800202
Course number integer
1800
Meeting times
R 10:15 AM-11:14 AM
Level
undergraduate
Instructors
Matthew Levendusky
Nicholas Pangakis
Description
Understanding and interpreting large datasets is increasingly central in political and social science. From polling, to policing, to economic inequality, to international trade, knowing how to work with data will allow you to shed light on a wide variety of substantive topics. This is a first course in a 4-course sequence that teaches students how to work with and analyze data. This class focuses on data acquisition, management, and visualization, the core skills needed to do data science. Leaving this course, students will be able to acquire, input, format, analyze, and visualize various types of political and social science data using the statistical programming language R. While no background in statistics or political science is required, students are expected to be generally familiar with contemporary computing environments (e.g. know how to use a computer) and have a willingness to learn a variety of data science tools. Leaving this class, students will be prepared to deepen their R skills in PSCI 3800, and then use their R skills to learn statistics in PSCI 1801 and 3801. They will also be ready to use their R skills in courses in other disciplines as well.
Course number only
1800
Fulfills
Quantitative Data Analysis
Use local description
No

PSCI1800 - Introduction to Data Science

Status
A
Activity
LEC
Section number integer
1
Title (text only)
Introduction to Data Science
Term
2024C
Syllabus URL
Subject area
PSCI
Section number only
001
Section ID
PSCI1800001
Course number integer
1800
Meeting times
MW 9:00 AM-9:59 AM
Level
undergraduate
Instructors
Matthew Levendusky
Description
Understanding and interpreting large datasets is increasingly central in political and social science. From polling, to policing, to economic inequality, to international trade, knowing how to work with data will allow you to shed light on a wide variety of substantive topics. This is a first course in a 4-course sequence that teaches students how to work with and analyze data. This class focuses on data acquisition, management, and visualization, the core skills needed to do data science. Leaving this course, students will be able to acquire, input, format, analyze, and visualize various types of political and social science data using the statistical programming language R. While no background in statistics or political science is required, students are expected to be generally familiar with contemporary computing environments (e.g. know how to use a computer) and have a willingness to learn a variety of data science tools. Leaving this class, students will be prepared to deepen their R skills in PSCI 3800, and then use their R skills to learn statistics in PSCI 1801 and 3801. They will also be ready to use their R skills in courses in other disciplines as well.
Course number only
1800
Fulfills
Quantitative Data Analysis
Use local description
No

PSCI1600 - Contemporary Political Thought

Status
A
Activity
REC
Section number integer
205
Title (text only)
Contemporary Political Thought
Term
2024C
Subject area
PSCI
Section number only
205
Section ID
PSCI1600205
Course number integer
1600
Meeting times
F 10:15 AM-11:14 AM
Level
undergraduate
Description
This course is intended as a general introduction to political theory since 1900. The theme for the Spring 2023 will be: Power and Politics, and the theorists examined will include Hannah Arendt, bell hooks, Michel Foucault, Bertrand de Jouvenel, and James C. Scott. Questions include: What is political power? How has it been exercised and by whom? Who should have power? Are power and violence inescapably intertwined? Do those without conventional political power understand and exercise power differently from those who traditionally wield it? How have technologies of surveillance and control by medical, psychiatric, computer and security experts altered where power is and how it operates?
Course number only
1600
Use local description
No

PSCI1600 - Contemporary Political Thought

Status
A
Activity
REC
Section number integer
204
Title (text only)
Contemporary Political Thought
Term
2024C
Subject area
PSCI
Section number only
204
Section ID
PSCI1600204
Course number integer
1600
Meeting times
F 3:30 PM-4:29 PM
Level
undergraduate
Description
This course is intended as a general introduction to political theory since 1900. The theme for the Spring 2023 will be: Power and Politics, and the theorists examined will include Hannah Arendt, bell hooks, Michel Foucault, Bertrand de Jouvenel, and James C. Scott. Questions include: What is political power? How has it been exercised and by whom? Who should have power? Are power and violence inescapably intertwined? Do those without conventional political power understand and exercise power differently from those who traditionally wield it? How have technologies of surveillance and control by medical, psychiatric, computer and security experts altered where power is and how it operates?
Course number only
1600
Use local description
No

PSCI1600 - Contemporary Political Thought

Status
A
Activity
REC
Section number integer
203
Title (text only)
Contemporary Political Thought
Term
2024C
Subject area
PSCI
Section number only
203
Section ID
PSCI1600203
Course number integer
1600
Meeting times
R 5:15 PM-6:14 PM
Level
undergraduate
Description
This course is intended as a general introduction to political theory since 1900. The theme for the Spring 2023 will be: Power and Politics, and the theorists examined will include Hannah Arendt, bell hooks, Michel Foucault, Bertrand de Jouvenel, and James C. Scott. Questions include: What is political power? How has it been exercised and by whom? Who should have power? Are power and violence inescapably intertwined? Do those without conventional political power understand and exercise power differently from those who traditionally wield it? How have technologies of surveillance and control by medical, psychiatric, computer and security experts altered where power is and how it operates?
Course number only
1600
Use local description
No

PSCI1600 - Contemporary Political Thought

Status
A
Activity
REC
Section number integer
202
Title (text only)
Contemporary Political Thought
Term
2024C
Subject area
PSCI
Section number only
202
Section ID
PSCI1600202
Course number integer
1600
Meeting times
R 3:30 PM-4:29 PM
Level
undergraduate
Description
This course is intended as a general introduction to political theory since 1900. The theme for the Spring 2023 will be: Power and Politics, and the theorists examined will include Hannah Arendt, bell hooks, Michel Foucault, Bertrand de Jouvenel, and James C. Scott. Questions include: What is political power? How has it been exercised and by whom? Who should have power? Are power and violence inescapably intertwined? Do those without conventional political power understand and exercise power differently from those who traditionally wield it? How have technologies of surveillance and control by medical, psychiatric, computer and security experts altered where power is and how it operates?
Course number only
1600
Use local description
No