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Courses - Spring 2025
BSOS
Behavioral and Social Sciences
Open Seats as of
11/20/2024 at 10:30 PM
BSOS180
Introduction to Data Management
Credits: 1
Grad Meth: Reg, P-F, Aud
Credit only granted for: BSOS180 or BSOS188B.
Formerly: BSOS188B.
Additional information: Recommended for BSOS majors who need additional support for their disciplinary stats or research methods sequence.
Learn to read data, clean data sets, and perform other vital functions (mainly in Excel). Students will develop fundamental skills that will ease the transition into future coursework (or a career) in data science or analytics. Designed for students who have minimal background in Excel or computer software.
BSOS188C
Selected Topics in the Behavioral and Social Sciences; Social Data Science: Pathways and Applications
Credits: 1
Grad Meth: Reg, P-F, Aud
Data Science, machine learning, and AI have exploded in popularity, and the big data revolution has affected how science is done in all fields, from the physical sciences to the behavioral and social sciences. This course explores the goals, values, skills, and practices of how data science is conducted within a variety of fields within the social sciences. It will enable students to identify questions and challenges that data science can address and help them find the data science discipline that matches their own values and goals.
BSOS233
Data Science for the Social Sciences
Credits: 3
Grad Meth: Reg, P-F, Aud
Prerequisite: MATH 107 (or higher) or STAT 100.
Restriction: Must be in a major in the College of Behavioral and Social Sciences or the College of Information Studies; or permission of instructor.
An introduction to modern methods of data analysis for social scientists. This course emphasizes teaching students who have no previous coding experience how to analyze data and extract meaning in a social science context. Students will gain critical programming skills and learn inferential thinking through examples and projects with real-world relevance.
Please contact gdenbow@umd.edu for permission to register.
BSOS326
Python Programming for the Social Sciences
Credits: 3
Grad Meth: Reg, P-F, Aud
Prerequisite: Minimum grade of C- in INST126 or BSOS233.
Restriction: Restricted to students in the Social Data Science major or by permission of the instructor.
Python has become the most powerful programming language in advanced statistics and data analytics. It includes expansive packages for data handling and processing, including the latest developments in machine learning, and offers Integrated Development Environments (IDE) for code development, testing, debugging, and graphical representation. This course offers a thorough introduction to Python and those packages that are fundamental to data processing and analysis.
If you have any questions please contact gdenbow@umd.edu.
BSOS355
(Perm Req)
Social Sciences Internship Practicum
Credits: 3
Grad Meth: Reg, P-F
GenEd: DSSP
Restriction: Must have earned a minimum of 60 credits; and minimum cumulative GPA of 2.5; and must have completed at least 1 semester at UMD.
Credit only granted for: BSOS388I or BSOS355.
Formerly: BSOS388I.
BSOS 355 is an internship course open to all majors. It will enable students to articulate and apply the scholarship from the discipline related to their specific internship placement into a real-work environment.
BSOS361
Academic and Career Planning for Transfer Students in the College of Behavioral and Social Sciences
Credits: 1
Grad Meth: Reg, P-F
Restriction: Must be a first-semester transfer student in a College of Behavioral and Social Sciences major.
Additional information: Intended for first semester transfer students in BSOS majors.
Students will utilize the resources of the Feller Center for Academic and Career Planning and TerrapinSTRONG to explore how their individual social identities and strengths contribute to building strong communities in personal, academic, and professional career spaces.
BSOS448M