Jennifer Lynch
Assistant Director - She / Her
(2)
4
Location
Dallas, Texas, United States
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UI design UX design Graphic design Communications Public relations

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The University of Texas at Dallas
The University of Texas at Dallas
Dallas, Texas, United States

Applied Sociological Research for Data-Driven Decision Making

SOC 4306

Feb 7, 2025 - May 10, 2025

The Advanced Sociological Research course at UT Dallas is designed to provide undergraduate students with hands-on experience in applied research methods and data analysis. Students in this course will engage in real-world projects that address complex societal issues, utilizing techniques such as surveys, interviews, case studies, and statistical analysis. Their work will support evidence-based decision-making for businesses, government agencies, and non-profit organizations. These learners are refining their professional skills in research design, data collection, data analysis, and effective communication of findings. The primary goal is to help students develop a deep understanding of how sociological research can be applied to solve pressing challenges in various sectors, including education, housing, public health, and marketing. We invite employers to collaborate with our students by offering relevant projects that allow learners to apply their academic knowledge and further develop their professional writing, analytical, and interpersonal skills. Employers will be expected to engage in regular communication, offer guidance and resources, and participate in final presentations to provide valuable feedback to the students. This collaboration will provide a fresh, data-driven perspective on real-world problems.

Matches 3
Category Communications + 4
Closed
The University of Texas at Dallas
The University of Texas at Dallas
Dallas, Texas, United States

Data Science Capstone Experience

CS/STAT/MATH 4475.001

Jan 28, 2025 - May 10, 2025

This experience is designed to immerse learners in a practical data science project, where they will apply their skills in data extraction, processing, and analysis to solve real-world problems. Learners will work collaboratively in teams to define a problem, gather and analyze data, and develop computational tools to derive insights. They will leverage their programming expertise in Python and R, along with statistical and machine learning techniques, to create predictive models and data visualizations. The experience aims to enhance teamwork, project management, and communication skills, culminating in a comprehensive project report and presentation.

Matches 1
Category Machine learning + 4
Closed