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Student Learning Outcomes

Discipline: Degree: AS - Artificial Intelligence for Business - S0844
Course Name Course Number
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 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 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 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.
  • 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
  • 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 artificial neural network (ANN) to solve real-world business challenges.
  • Use convolutional neural networks (CNNs) to solve real-world business use cases
Elementary Statistics Math 110
  • Using sample statistics from one or more samples, students will be able to test a claim made about a population parameter.
  • 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 determine descriptive statistics from a sample
  • Students will be able to use sample statistics to develop a confidence interval for population parameters
  • Students will be able to use sample statistics to develop a confidence interval for population parameters. \n\nUsing sample statistics from one or more samples, students will be able to test a claim made about a population parameter.
Elementary Statistics -Honors Math 110H
  • Students will be able to determine descriptive statistics from a sample.
  • 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
  • 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. \n\nUsing 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.
  • Design programs leading to reusable code through the concepts of encapsulation, inheritance, and polymorphism.\n
  • Write, organize, and assemble program documentation.
  • 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.