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Student Learning Outcomes

Discipline: Degree: AS - Big Data Analytics - S0845

Course Name	Course Number	Objectives
Big Data Integration and Processing	CISD 42	Use various Big Data frameworks and tools. Use various sources and techniques to retrieve, acquire, and ingest Big Data. Process Big Data at rest and in motion. Get value out of Big Data by using a 5-step process to structure an analysis. Integrate Big Data.
Big Data Modeling and Analysis	CISD 43	Use various tools to perform Big Data modeling. Differentiate between data mining and predictive analytics. Use various tools and programming language to perform Big Data mining and text mining. Use various tools and programming language to perform Big Data predictive analytics. Use various tools and programming language to perform Big Data graph analytics.
Computer Information Systems	CISB 11	Students completing CISB 11 - Computer Information Systems will be able to identify five ways to protect a computer from harmful attacks. Students completing CISB 11 - Computer Information Systems will know the four primary operations of a computer and the hardware that performs these operations. Students completing CISB 11 - Computer Information Systems will be able to define the following Internet terms: Internet, World Wide Web, browser, IP address, URL Students completing CISB 11 - Computer Information Systems will know the six phases of the system development life cycle and two activities that occur in each phase.
Database Management - Microsoft SQL Server	CISD 21	Students completing CISD21 - SQL Server Lecture will be able to understand functions for simplifying daily database tasks. Students completing CISD21 will be able to understand the summary queries and know how to use the aggregate functions. Students completing CISD 21 - Database Management - Microsoft SQL Server Lecture will be able to update database data using the SQL Server Data Manipulation Language commands. Students completing CISD 21 - Database Management - Microsoft SQL Server Lecture will be able to create a program using scripts and stored procedures.
Database Management - Microsoft SQL Server Laboratory	CISD 21L	Students completing CISD21L - Microsoft SQL Server Lab will be able to use the aggregation functions to create summary queries for database tables. Student completing CISD21L - SQL Server Lab will be able to create database triggers to enforce referential integrity.
Database Management - Oracle	CISD 31	Students completing CISD31 will understand exception handling and know how to take the actions when exceptions are raised. Students completing CISD 31 will be able to understand subqueries. Students completing CISD 31 - Database Management - Oracle Lecture will be able to create queries to retrieve data from multiple tables using Oracle functions, views, and scripts. Students completing CISD 31 - Database Management - Oracle Lecture will be able to use decision making statements, loops, and cursors in order to create a business application.
Database Management - Oracle Laboratory	CISD 31L	Students completing CISD 31L will be able to create queries to retrieve data from multiple tables using Oracle functions, views, and scripts. Students completing CISD 31L will be able to use decision making statements, loops, and cursors in order to create a business application.
Elementary Statistics	Math 110	Using bivariate data, students will be able to determine whether a significant linear correlation exists between two variables and determine the equation of the regression line. Using sample statistics from one or more samples, students will be able to test a claim made about a population parameter. Students will be able to use sample statistics to develop a confidence interval for population parameters Students will be able to determine descriptive statistics from a sample
Elementary Statistics -Honors	Math 110H	Students will be able to determine descriptive statistics from a sample. Using sample statistics from one or more samples, students will be able to test a claim made about a population parameter Students will be able to use sample statistics to develop a confidence interval for population parameters Using bivariate data, students will be able to determine whether a significant linear correlation exists between two variables and determine the equation of the regression line.
Introduction to Data Science	CISD 41	Effectively communicate the outcome of data analysis using descriptive statistics and visualizations. Use statistical methods and visualization to quickly explore data. Apply statistics and computational analysis to make predictions based on data. Use Programming language and other tools to scrape, clean, and process data. Use data management techniques to store data locally and in cloud infrastructures.
Programming in Python	CISP 71	Utilize the appropriate programming constructs including selection, sequence, and iteration in programming projects. Incorporate exception handling in Python projects. Design programs leading to reusable code through the concepts of encapsulation, inheritance, and polymorphism. Recognize and appropriately use Python packages. Evaluate appropriate use of abstract classes, methods, or both as they apply to inheritance. Apply the most current version of event handlers and methods to projects. Write, organize, and assemble program documentation.
Programming in Python Laboratory	CISP 71L	Create object-oriented programs in Python. Evaluate when to use various Python constructs for decision-making (if and switch statements), iteration Create user interfaces with various components and incorporate event handling.

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