COP2700 – Introduction to Database is a 3-credit course on relational database design and SQL. Daytona State College titles it Introduction to Database Management. It is a core requirement in computer science, information technology, and computer programming programs, and a common elective for business and analytics students.
Databases are infrastructure. Nearly every application a student will build or support stores its data in a relational database, most business analysis begins with a query, and SQL has remained the standard language for fifty years while programming languages have come and gone. It is among the most durable and most directly employable skills in a computing curriculum.
Content covers database concepts — what a database management system provides and why applications do not simply use files; the relational model — relations, attributes, tuples, keys, and integrity constraints; data modeling — entity-relationship diagrams, cardinality, and translating a model into tables; normalization — functional dependency and first through third normal form, and why denormalization is sometimes correct; SQL data definition — creating tables, constraints, and indexes; SQL queries — SELECT, filtering, sorting, aggregation, grouping, and the full range of joins; subqueries and set operations; SQL data manipulation — insert, update, and delete; views; transactions and the ACID properties; concurrency and locking at an introductory level; stored procedures, functions, and triggers; security — privileges, roles, and SQL injection; backup and recovery; and an introduction to NoSQL and when a relational database is not the right tool.
Offered at approximately 10 Florida institutions.
Worth saying plainly to students weighing where to spend effort. SQL has been the standard language for relational data since the 1970s and remains so; frameworks, languages, and platforms have turned over repeatedly around it. It also crosses job families — developers, analysts, administrators, support staff, and increasingly business users all write queries. A student who leaves this course genuinely fluent in SQL, rather than able to recall syntax, has acquired something that will still be useful in twenty years.
Third normal form is easy to state and harder to internalize. The productive framing is not "apply the rules" but "eliminate redundancy so that each fact is stored in exactly one place" — because redundancy is what produces update anomalies, where changing a fact in one row leaves stale copies elsewhere. Students who understand why a schema is normalized can also judge when to denormalize deliberately for performance, which is a real professional decision rather than a violation.
Not syntax — reasoning about what a join produces. The specific failure modes are predictable: an accidental cross join from a missing condition, a left join that becomes an inner join because a WHERE clause filters the null side, and duplicate rows from joining through a one-to-many relationship without expecting the fan-out. The remedy is volume: write many queries against real data, check the row counts, and get in the habit of asking what the result set should contain before running it.
Building a query by concatenating user input into a string allows an attacker to alter the query's meaning and read, modify, or destroy data. It remains one of the most common and most damaging web vulnerabilities despite being completely preventable. The fix is straightforward and non-negotiable: parameterized queries or prepared statements, never string concatenation with untrusted input. Students should be able to explain both the attack and the defense, and should treat any code they write that concatenates input into SQL as a defect regardless of context.
A missing WHERE clause updates or deletes every row in the table, and there is no undo outside a transaction. The professional habits are worth forming in a classroom rather than in production: write the statement as a SELECT first to see exactly which rows it touches, wrap destructive statements in an explicit transaction so they can be rolled back, and never run anything against production that has not been run somewhere else first.
Like Linux administration, this is a field with no cost barrier to practice. PostgreSQL, MySQL, and SQLite are free and production-grade; Microsoft and Oracle offer free developer editions of their enterprise products; and free interactive sites provide thousands of practice queries. Students who install a database and load a real dataset — public data portals supply plenty — build fluency far faster than those who only complete assigned exercises.
The course appears as COP2700 and, at some institutions, COP2708 or with a C suffix where the laboratory is integrated. Advanced database courses carry COP3703, COP4703, or CGS numbers at the upper division. SCNS equivalency applies to the same number at the same level, never across numbers — confirm which number a receiving program requires, particularly when transferring into a computer science degree, where the database requirement is often upper-division.
Generated August 31, 2026 · Updated August 31, 2026