UNF Academic Calendar 2024 119
DA 699: Capstone Project (9)
In this course students complete a major big data consulting project with a client. The client
can be a student’s employer, or a client of Spark Niagara (or equivalent). Students focus on
project initiation, planning, execution, monitoring, controlling and closing a project guided
by a faculty advisor. The student signs a customized learning contract reflects the specific
project responsibilities, deliverables, and learning objectives for the course. Students are
responsible for identifying the projects that they will work on, writing the project description,
submitting the description to their advisor for approval and completing all project
deliverables in a timely manner.
DAMO 500: Principles of Analytics (3)
This course covers the core concepts and applications of analytics in different domains.
First part of the course introduces the students to the main concepts and tools of analytics
(e.g., data querying and reporting, data access and management, data cleaning, statistical
programming, data warehousing, relational databases, and statistical analysis of
databases). There are intentional discussions of the social and ethical issues of data
analytics (e.g., privacy, confidentiality). The students then apply the principles of descriptive
analytics to different domains such as marketing, quality control, public policy and other
domains of their interest.
DAMO 501: Data Analytics Case Study 1 (1)
This course uses a real-world analytics problem to guide and to apply learning in DA500,
CS500, and BI500. Students use knowledge in data science lifecycle, descriptive analytics,
SQL, Excel, and relational database to support a marketing decision problem (e.g., customer
relationship management, product management, KPI management, etc.). They formulate
research questions and hypotheses, prepare internal and external data, build and deploy
models, and use charts and visualizations to share insights.
DAMO 510: Predictive Analytics (3)
This course builds upon the knowledge and skills learned in DA500 Principles of Data
Analytics course. It begins with framing machine learning problems for analysis and moves
progressively into predictive modelling methods like regression analysis and forecasting
techniques. Finally, this course introduces predictive analytics to data mining and machine
learning applications in everyday life like healthcare diagnostics, consumer behavior, credit
risks analysis, etc.
DAMO 511: Data Analytics Case Study 2 (1)
This course uses a real-world analytics problem to guide and to apply learning in DA510,
CS510, and BI510. Students use knowledge in machine learning, predictive analytics, SQL,
Excel, Power BI to support an operational decision problem (e.g., supply chain