Untitled document
Upon completion of the course, students will be able to:
1. Describe a relational database
2. Install and configure a database server environment
3. Implement SQL statements using data design, definition, and manipulation techniques
4. Implement stored procedures
5. Develop complex data analysis queries in SQL
6. Apply transaction and database administration concepts
7. Define and manage access controls for relational databases
Untitled document
1. Definition of "relational database"
a. Contrast relational database and file-based databases
b. History of relational database theory
c. Client/server computing
d. History and current options in the database market
e. MySQL, the SQL language, and understanding tables
2. Database server set-up
a. Installing and configuring MySQL
b. Storage engines Index Sequential Access Method (ISAM) and Inno Database (InnoDB)
3. SQL basics: Syntax, Data Manipulation Language (DML), Data Definition Language (DDL), tables, select, distinct, where, and/or, order by, query and reporting in SQL
4. Data design
a. Data normalization theory
b. Primary key and foreign keys
c. Entity and relationship diagramming
5. Data definition
a. Create database, create table and create index
b. Synonyms, views, stored procedures
6. Data manipulation: insert, update and delete
7. Stored procedures: programming in the database
8. Data analysis: SQL functions, unions, group by, and complex joins
9. Web data analysis: creating data analysis web applications using Python
10. Transactions: theory and practice for simple and distributed transactions using SQL
11. Database administration: partitioning, replication, enterprise management tools, backup and recovery
12. Security concepts of relational databases
a. User management
b. Access controls
c. Data integrity
Writing: Assessment tools that demonstrate writing skill and/or require students to select, organize and explain ideas in writing. | Writing 0 - 0% |
None | |
This is a degree applicable course but assessment tools based on writing are not included because problem solving assessments are more appropriate for this course. |
|
Problem solving: Assessment tools, other than exams, that demonstrate competence in computational or non-computational problem solving skills. | Problem Solving 50 - 70% |
SQL problem solving projects | |
Skill Demonstrations: All skill-based and physical demonstrations used for assessment purposes including skill performance exams. | Skill Demonstrations 0 - 0% |
None | |
Exams: All forms of formal testing, other than skill performance exams. | Exams 30 - 50% |
Objective examinations (multiple choice, true false, matching, completion, etc.) | |
Other: Includes any assessment tools that do not logically fit into the above categories. | Other Category 0 - 10% |
Participation and attendance | |
Untitled document
Database Systems: A Practical Approach to Design, Implementation, and Management (6th). Connolly, Thomas and Begg, Carolyn. Pearson: 2015