Research Seminar "Big Data: Principles and Paradigms"

2024/2025

Academic Year

ENG

Instruction in English

3

ECTS credits

Delivered at:

Department of Business Informatics

Course type:

Compulsory course

When:

1 year, 2, 3 module

Instructor

Jin, Seungmin

Course Syllabus

Abstract

"Research Seminar: Big Data - Principles and Paradigms": This seminar explores the evolving landscape of Big Data, focusing on its principles and paradigms. We will examine current trends in data analytics, particularly in the context of business analytics, and how these paradigms are transforming decision-making processes. The course will cover topics such as emotional data visualization, efficient data compression techniques for scientific visualization, and innovative approaches to visualizing complex data structures. Through this seminar, participants will gain insights into the latest advancements in data visualization and learn how to apply these techniques to enhance business strategies.

Learning Objectives

• Identify the latest trends in Big Data visualization and analytics.
• Evaluate different methodologies used in Big Data visualization and analytics to assess their applicability in various business contexts.

Expected Learning Outcomes

• Identify the latest trends in Big Data visualization and analytics.

Course Contents

• Introduction to Big Data and Visual Analytics
• How to Read and Summarize IEEE VIS Papers
• The Rise of Interactive Data Visualization
• Immersive Data Visualization with Augmented and Virtual Reality
• Automated Insights and Intelligent Analysis
• The Importance of Data Storytelling
• Visualization for Social Good
• Smart Dashboards and Natural Language Processing
• Data Comics and Creative Storytelling
• Multi-Modal Approaches for Unique Perspectives
• Enhancing Transparency in Public and Private Sectors
• Visualization for Environmental Sustainability

Assessment Elements

• Exam
  The final exam will assess your understanding of the key concepts covered throughout the course, including the IEEE VIS papers you summarized. The exam may consist of multiple choice, short answer, and essay questions. These questions are designed to evaluate both your theoretical knowledge and practical application skills. Clear evaluation criteria will be provided, and practice questions will be available to help you prepare effectively. This comprehensive approach ensures that you can demonstrate your learning outcomes successfully.
• Activity during classes
• Attendance
  Missing class: -1 credit penalty Missing classes more than half: No credit.

Interim Assessment

• 2024/2025 3rd module
  0.25 * Activity during classes + 0.25 * Attendance + 0.5 * Exam

Bibliography

Recommended Core Bibliography

• Conceptual drawing : freehand drawing and design visualization for design professions, Koncelik, J. A., 2008
• Data mining and data visualization, , 2005
• Data visualization & presentation : with Microsoft Office, Sue, V. M., 2016
• Handbook of data visualization, , 2008
• Handbook of graph drawing and visualization, , 2014
• Information visualization : design for interaction, Spence, R., 2007
• The functional art : an introduction to information graphics and visualization, Cairo, A., 2013
• Visualizations and dashboards for learning analytics, , 2021

Authors

• REDKINA GALINA SERGEEVNA
• PANFILOV PETR BORISOVICH
• Dzhin Seungmin