Data Science
An interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data.
An interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data.
A methodology for creating design systems by breaking down interfaces into their basic components (atoms, molecules, organisms, templates, and pages).
A set of practices and principles that guide agile methodologies, such as Scrum and Kanban, to improve project management and product development.
Research focused on understanding and improving information architecture (IA), ensuring that information is logically and intuitively organized for users.
A framework inspired by Maslow's Hierarchy of Needs, applied to user experience design, prioritizing basic functionality and reliability before enhancing usability and delight.
The process by which search engines systematically browse the internet to index and retrieve information from websites.
A usability inspection method where experts review a user interface against a set of heuristics to identify usability issues.
A testing method where the internal structure of the system is not known to the tester, focusing solely on input and output.
A hybrid Agile project management framework that combines elements of Scrum and Kanban to improve flexibility and workflow management.