This sequence represents the minimum time to completion. Time to completion will vary by student, depending on individual progress and credits transferred, if applicable. For a personalized estimate of your time to completion, call an enrollment advisor at 855-646-5286.
|Course Code||ITEC 6030||Course||Principles of Programming||Credits||(3 sem. cr.)|
|Course Code||ITEC 6145||Course||Enterprise Database Design||Credits||(3 sem. cr.)|
|Course Code||ITEC 6655||Course||Data Warehousing and Business Intelligence||Credits||(3 sem. cr.)|
|Course Code||ITEC 6661||Course||Business Analytics and Data Mining||Credits||(3 sem. cr.)|
The discipline of software development demands a variety of skills. Students in this course assess the fundamental practices and principles of designing and constructing object-oriented programs. They engage in substantial hands-on practice, reinforcing algorithmic thinking, logical design, precise coding, and careful attention to quality.
In this course, students discuss the design, implementation, and operation of databases using a principal relational database management system (DBMS). Many fundamental topics are covered in this course including: data modeling using entity-relationship diagrams; data storage, manipulation, and queries using structured query language (SQL); functional dependencies, normalization concepts, data warehouse architectures, data warehouse modeling, and data analytics.
Students learn key approaches to the integration of enterprise-wide information to support business strategy and decision making. They cover issues in data acquisition, storage, retrieval, and analysis in this course. Topics include data warehouses; data marts; dashboards, key performance indicators, and scorecards; online analytical processing; and data visualization.
Students learn and apply techniques for inference and discovery in large data sets. Topics include statistical inference, exploratory data analysis, data mining, text mining, and machine learning for predictive modeling.