CIS-255 reviews data structure concepts such as linked lists, stacks and queues, binary trees, graph representation and traversals, sorting, and hashing. It is also an introduction to the basic principles and practices underlying the analysis, design, and implementation of the database as used in the contemporary business environment, teaching the major approaches to designing database applications and logical/physical data modeling, with an extensive hands-on SQL component.
Data structures as the foundation of efficient systems
The course covers core data structures — linked lists, trees, graphs — because choosing the right data structure directly determines how efficiently a program can store, search, and manipulate information, a foundational concern for any serious information systems work.
Connecting data structures to real database design
CIS-255 pairs data structure theory with genuine database design and implementation practice, including extensive hands-on SQL work, so students see how abstract structural concepts translate into a real, functioning business database.
Key topics in CIS255
- Linked lists, stacks, and queues
- Binary trees and graph traversal
- Sorting and hashing algorithms
- Database analysis and design principles
- Logical and physical data modeling
- Hands-on SQL implementation
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Worked example: choosing the right structure for the task
- Wrong structure: Using a data structure poorly suited to frequent searching, making lookups slow as data grows
- Right structure: Choosing a structure (like a properly indexed tree) optimized for the actual operations the system needs to perform
- Lesson: CIS-255 teaches that data structure choice has real, measurable performance consequences, not just theoretical significance
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Frequently asked questions
Database systems are, at their core, built on data structure concepts — indexes often rely on tree structures, query optimization depends on understanding how data is organized and traversed — so understanding data structures gives genuine insight into why databases are designed and perform the way they do. CIS-255 combines them because database design decisions are, in a real sense, applied data structure decisions, making the two topics naturally reinforcing rather than separate.
Understanding database design principles conceptually doesn't guarantee the ability to actually implement, query, and maintain a working database, and SQL is the practical language through which nearly all relational database work actually happens in professional settings. CIS-255 requires hands-on SQL practice because genuine database competency depends on this practical implementation skill, not just theoretical understanding of design principles.