CIS-205 |
Machine Learning |
In this course students will learn how algorithms are used in machine learning . Algorithmic theories will be examined as possible catalysts for making machines smarter . Learn how computers are capable of acting without being explicitly programmed . Supervised , unsupervised , and reinforcement algorithms will be examined . Students will learn how to apply machine learning algorithms to real-life problems and evaluate their effectiveness . Machine bias will also be discussed . |
CIS-215 |
Relational Databases |
This course provides students with a hands-on practical approach to the Relational Database Model and SQL ( Structured Query Language ). Topics include normalization , design methodology , DBMS functions , and basic database administration . Database management approaches such as client / server databases , data warehouses , and cloud computing platforms will be covered . Security strategies and Database backup and recovery best practices will be discussed . Students will learn how to design and code a Relational Database using the latest version of Microsoft Access DBMS and Azure Managed Cloud Database . By the completion of this course , students should be able to understand an organization ' s database requirements and translate those requirements into a functional relational database . |