CSCE 386 – Data Science in Practice

Content

 

Course Introduction

This seminar course introduces students to a wide range of data science topics spanning data management, analytics, modeling, governance, ethics, and industry applications. Through invited talks, faculty lectures, and student-led discussions, students will gain a broad and practical understanding of data science principles and applications across sectors such as biomedicine, economics, geospatial analytics, energy, agriculture, and governance.

Course Goal & Objectives

By the end of this course, students will be able to:

  1. Understand Core Principles of data generation, management, analysis, and modeling.
  2. Evaluate privacy, governance, ethics, and responsible use considerations in data science practice.
  3. Explore Real-World Applications in biomedical research, economics, geospatial analysis, power trading, energy, agriculture, and public policy.
  4. Compare how data science methods are applied across government, industry, and research settings.
  5. Frame a practical data question; select and document an appropriate dataset; and develop a feasible analysis plan.
  6. Carry out, validate, and interpret a hands-on team analysis using reproducible code or notebooks.
  7. Communicate results, uncertainty, limitations, and recommendations through a written report, peer review, and oral presentation.
  8. Use AI-assisted tools critically and transparently while retaining responsibility for the accuracy, originality, and interpretation of the work.

Course Format

The course uses a seminar-style format, including:

  • Invited talks from domain experts
  • Case study discussions
  • Reflection
  • Peer discussion and feedback
  • Team-based project 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 ...