In Lecture 15, build on your ER diagram knowledge by focusing completely on relationship sets in DBMS and how they connect entities in real problems. This session explains how to identify meaningful interactions between entities from a word problem, convert them into relationship sets, and decide whether they should be one‑to‑one, one‑to‑many, or many‑to‑many. You will also learn how to attach attributes to relationship sets (like marks in a Student–Course–Enrollment relationship), how to handle participation constraints, and when a separate relationship set is better than merging everything into a single entity. Through clear diagrams and step‑by‑step case studies such as library management, e‑commerce orders, and banking systems, you will see how strong and weak entities are linked using identifying relationships and how these choices later impact table design and foreign keys. #RelationshipSet #ERDiagram #EntityRelationship #DBMS #DatabaseDesign #DatabaseSystems #Cardinality #Participation #StrongEntity #WeakEntity #TechEducation #CollegeExams #InterviewPrep #SQL #BackendDesign #Lecture15 #kpcodex