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Student Learning Outcomes

Discipline: Degree: AS - Artificial Intelligence for Business - S0844

Course Name	Course Number	Objectives
Computer Information Systems	CISB 11	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. 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 four primary operations of a computer and the hardware that performs these operations. Students completing CISB 11 - Computer Information Systems will be able to identify five ways to protect a computer from harmful attacks.
Database Management - Microsoft SQL Server	CISD 21	Students completing CISD 21 - Database Management - Microsoft SQL Server Lecture will be able to create a program using scripts and stored procedures. 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 CISD21 will be able to understand the summary queries and know how to use the aggregate functions. Students completing CISD21 - SQL Server Lecture will be able to understand functions for simplifying daily database tasks.
Database Management - Microsoft SQL Server Laboratory	CISD 21L	Student completing CISD21L - SQL Server Lab will be able to create database triggers to enforce referential integrity. Students completing CISD21L - Microsoft SQL Server Lab will be able to use the aggregation functions to create summary queries for database tables.
Database Management - Oracle	CISD 31	Students completing CISD 31 will be able to understand subqueries. Students completing CISD31 will understand exception handling and know how to take the actions when exceptions are raised. 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. 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.
Database Management - Oracle Laboratory	CISD 31L	Students completing CISD 31L will be able to use decision making statements, loops, and cursors in order to create a business application. Students completing CISD 31L will be able to create queries to retrieve data from multiple tables using Oracle functions, views, and scripts.
Deep Learning in Business	CISB 62	Use convolutional neural networks (CNNs) to solve real-world business use cases Use artificial neural network (ANN) to solve real-world business challenges.
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. Students will be able to use sample statistics to develop a confidence interval for population parameters 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 determine descriptive statistics from a sample
Elementary Statistics -Honors	Math 110H	Students will be able to determine descriptive statistics from a sample. 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. Students will be able to use sample statistics to develop a confidence interval for population parameters Using sample statistics from one or more samples, students will be able to test a claim made about a population parameter
Machine Learning in Business	CISB 60	Implement reinforcement learning algorithms in business. Implement supervised learning algorithms in business Implement unsupervised learning algorithms in business. Have a good understanding of the fundamental issues and challenges of machine learning: data, model selection, model complexity, etc. Be able to select, design, and implement various machine learning algorithms in a range of real-world business applications. Articulate the basic concepts and functioning of machine learning as well as its deployment in the business context.
Natural Language Processing in Business	CISB 63	Gain practical hands-on natural language processing and its implementation in business. Tokenize text so it can be processed as symbols. Convert text and words to vectors using term frequency-inverse document frequency (TF-IDF) and word2vec.
Programming in Python	CISP 71	Incorporate exception handling in Python projects. Utilize the appropriate programming constructs including selection, sequence, and iteration in programming projects. Apply the most current version of event handlers and methods to projects. Evaluate appropriate use of abstract classes, methods, or both as they apply to inheritance. Recognize and appropriately use Python packages. Design programs leading to reusable code through the concepts of encapsulation, inheritance, and polymorphism. Write, organize, and assemble program documentation.

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