In this Data Visualization course, students will embark on an exploration of how to effectively represent and communicate data through visual means. The course begins with foundational concepts, including principles of visual perception and design, to understand how to create intuitive and engaging visualizations. Students will learn to leverage various types of visual representations such as charts, graphs, and interactive dashboards, and will delve into advanced techniques like data mapping, multidimensional visualizations, and real-time data interaction. The course will also cover essential tools and technologies used in the field, including popular visualization libraries and software. Emphasis will be placed on both the theoretical aspects of visualization and practical skills, ensuring students can translate complex data sets into clear, actionable insights. Through hands-on projects and real-world case studies, students will gain experience in designing and implementing effective visualizations that meet the needs of diverse audiences and stakeholders.
SU Credits : 3.000
ECTS Credit : 6.000
Prerequisite :
Undergraduate level DSA 201 Minimum Grade of D
Corequisite :
DSA 301R