Syllabus Application
DSA 301
Data Visualization
Faculty
Faculty of Engineering and Natural Sciences
Semester
Spring 2025-2026
Course
DSA 301 -
Data Visualization
Time/Place
Time
Week Day
Place
Date
08:40-09:30
Mon
FENS-L045
Feb 16-May 22, 2026
10:40-12:30
Thu
FENS-G035
Feb 16-May 22, 2026
Level of course
Undergraduate
Course Credits
SU Credit:3, ECTS:6, Engineering:3
Prerequisites
DSA 210 or CS 210
Corequisites
DSA 301R
Course Type
Lecture
Instructor(s) Information
Selim Saffet Balcısoy
- Email: balcisoy@sabanciuniv.edu
Course Information
Catalog Course Description
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.
Course Learning Outcomes:
Course Objective
By the end of the course, students will be able to:
-Understand Visualization Principles.
-Create and Interpret Visualizations.
-Utilize Data Visualizations.
-Design Interactive Dashboards.
-Analyze and Communicate Data Insights.
-
-Understand Visualization Principles.
-Create and Interpret Visualizations.
-Utilize Data Visualizations.
-Design Interactive Dashboards.
-Analyze and Communicate Data Insights.
Course Materials
Resources:
Weekly reading material will be shared
Technology Requirements:
Laptop computer and Github account