Content
Course Introduction
Computing and Data Science in Practice (CSCE 386) introduces students to how data science methods are applied across real-world domains including healthcare, agriculture, economics, energy, geospatial analysis, and public policy.
The course combines seminar discussions, invited talks, case studies, and collaborative projects to expose students to the real-world practice of data science and the professional skills needed to work in interdisciplinary environments.
Students engage with experts from academia, industry, and government who share how data science techniques are used to solve complex problems.
What Students Will Learn
Through this course, students will:
- Understand how data is generated, managed, analyzed, and modeled
- Explore real-world applications of data science
- Examine issues of data governance, privacy, and responsible AI
- Learn how data supports decision-making in complex systems
- Develop a research-style project proposal
Course Format
The course uses a seminar-style format, including:
- Invited talks from domain experts
- Case study discussions
- Reflection essays
- Peer discussion and feedback
- Team-based project proposals and presentations
Instructor
Dr. Juan Cui
Associate Professor
School of Computing, University of Nebraska–Lincoln
Office: Avery Hall 122E
Email: jcui@unl.edu
Research areas include AI-enabled biomedical discovery, bioinformatics, and data-driven approaches for personalized health and precision nutrition.
Recent Seminar Speakers
- Sandhills Global – Data Analytics in Commodity Markets
- USDA NRCS – Geospatial Data Science for Environmental Monitoring
- Energy Market Analysts – Data-driven Power Trading
- more ...