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NOTE: Course offerings are subject to budgetary approval
Posting Reference: CS CS1543 FR01A
| Course Prefix: | CS | Course Number: | CS1543 |
| Course Section: | FR01A | Course Name: | Introduction to Databases |
| Term: | Fall | Campus: | Fredericton |
| Faculty: | Computer Science, Faculty of | Department: | Computer Science |
| Position Start Date: | 2026-09-01 | Position End Date: | 2026-12-31 |
| Posting Date: | 2026-06-08 | Application Deadline: | 2026-06-22 |
| Applications to be submitted via: | fcs@unb.ca | ||
| Requested By: | Kelley Nelson |
| Days: | T/TH | Time: | 8:30-9:50AM |
| Number of Positions Available: | 1 | Total Credit Hours: | 4 ch (3C 2 |
| Mode of Delivery: | Face to Face | Location: | On Campus |
| Stipend Amount: | $12,655 |
Learn about the motivation for and capabilities of database management systems; the role of databases in a three-tier application architecture; relational data model; relational algebra; functional dependencies and normalization; SQL language, including creating, loading, updating, modifying, and querying database tables; data integrity, security and privacy; entity relationship data modeling; CRUD analysis; stored procedures; accessing a database using an API such as JDBC. Gain exposure to selected advanced topics such as data warehouses, big data, and XML. NOTE: Credit can only be obtained for one of CS 1543, CS 1103, INFO 1103.
Prerequisites: CS 1073.
Learn about the motivation for and capabilities of database management systems; the role of databases in a three-tier application architecture; relational data model; relational algebra; functional dependencies and normalization; SQL language, including creating, loading, updating, modifying, and querying database tables; data integrity, security and privacy; entity relationship data modeling; CRUD analysis; stored procedures; accessing a database using an API such as JDBC. Gain exposure to selected advanced topics such as data warehouses, big data, and XML. NOTE: Credit can only be obtained for one of CS 1543, CS 1103, INFO 1103.
Prerequisites: CS 1073.
Ph.D. or Master degree in Computer Science. Demonstrated knowledge of the subject matter and relevant experience with teaching or professional presentations .Professional IT-related experience is a strong plus and teaching experience (DUT certificate is an asset).
Lab: M 5:30-7:20pm