Examines proven strategies designed to help learners achieve greater personal, academic, and professional success. Learners will apply personal responsibility thinking and behaviors; self- management, awareness, and motivation strategies; as well as interdependence skills to develop a proactive life plan.

Introduces learners to the basic concepts of using Microsoft Excel with hands-on, project based activities. Learners will develop foundational skills by applying concepts explored to effectively utilize the functions and features of Microsoft Excel including creating worksheets, entering/editing data, selecting cells/ranges, creating basic charts, formatting entries and creating/modifying basic formulas.

Examines the intermediate level Microsoft Excel skills which build upon the basic Microsoft Excel concepts. Learners will demonstrate their ability to perform a number of hands-on, project based Excel intermediate level activities including but not limited to working with multiple worksheets and workbooks, creating, sorting and querying a table, importing data, working with SmartArt, images and screenshots, and financial functions.

Introduces the field of IT software development and design. Learners will explore degree and career paths, IT tools and processes and begin to demonstrate professional communication. Learners will create or modify a simple computer program using an integrated development environment.

Introduces programming concepts and terminology using an object-oriented approach, with a focus on iterative development and testing. This course uses C# .NET, the Unified Modeling Language (UML) and other tools to present concepts from a variety of perspectives. Learners will create UML diagrams and write/debug C# .NET applications that incorporate classes, fields, methods and variables. Additional topics include: utilization of an Integrated Development Environment (IDE), value and reference types, object instantiation/lifetime/scope and mathematical/conditional/logical expressions.

Reinforces programming concepts and standards, building on the object-oriented approach introduced in Programming Concepts 1, with a focus on iterative development and testing. This course uses C# .NET, the Unified Modeling Language (UML) and other tools to present concepts from a variety of perspectives. Learners will create UML diagrams and write/debug C# .NET applications, applying the object-oriented basics of abstraction and encapsulation. Additional topics include: utilization of a debugger, object multiplicity and constructors.

Emphasizes programming concepts and standards, building on the object-oriented approach of Programming Concepts 2, with a focus on iterative development and testing. This course uses C# .NET, the Unified Modeling Language (UML) and other tools to present concepts from a variety of perspectives. Learners will create UML diagrams and write/debug C# .NET applications, applying the object-oriented basics of abstraction, encapsulation, inheritance.

Introduces foundational web development concepts using HTML and CSS, with an emphasis on user-focused content, semantic structure, visual styling, and introductory layout techniques. Learners create and modify web pages by applying content strategy principles, accessible HTML markup, external CSS styling, and foundational layout concepts. Additional topics include the use of professional text editors and industry-aligned workflow practices. This course establishes the structural and stylistic foundation for more advanced layout, interaction, and deployment skills developed in subsequent coursework.

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Applies structured data using query results to explain how real-world systems store and use information. The course analyzes datasets to infer structure, relationships, and design limitations and constructs Crow’s Foot entity-relationship diagrams based on observed data behavior. The course evaluates data quality and readiness for retrieval and reuse and justifies data modeling and structural decisions using evidence derived from query-based analysis.

Builds on foundational data interpretation and query skills to focus on preparing data for analysis and real-world use. The course explores how datasets are cleaned, transformed, and structured to improve usability and consistency. Learners apply intermediate query techniques to reshape data, evaluate data quality, and work with both structured and semi-structured formats such as JSON. The course introduces how prepared data supports modern systems, including analytics and emerging AI applications. Emphasis is placed on practical data handling, clarity of results, and communicating data-driven insights.

Introduces the fundamental concepts and history of artificial intelligence (AI), including machine learning, neural networks, large language models and natural language processing. Students will explore AI technologies, review their development over time, and study their impact on society. This foundation will provide students with the necessary framework to understand and work with AI in future courses and professional settings.

Students will apply problem solving techniques from discrete mathematics. Topics include symbolic logic, sets, algebra and base number systems.

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Introduces game development using JavaScript. Learners will apply basic programming concepts using artificial intelligence tools to assist with code generation, debugging, and creation of game content and graphical assets. Additional topics include game loops, user input, collision detection, basic game mechanics and responsible use of AI-generated content.

Explores game development using intermediate JavaScript programming techniques. Learners will implement more complex game mechanics, data structures, object-oriented concepts, audio, animation and persistent game data. Artificial intelligence tools will be used to assist with application design, code refinement, testing, troubleshooting and content creation.

Introduces the Agile software development methodology and applies it to managing a software development project. Learners will work in small teams, taking an application through its entire lifecycle including the phases of requirements gathering, analysis, design, development, testing, deployment and maintenance. Additional topics include an introduction to the following disciplines and related tools: project management, version control, issue tracking, unit/regression testing and automated build/deployment.

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Explores the use of AI in modern business environments, focusing on practical applications such as predictive analytics, customer relationship management, and automation. Students will analyze real-world case studies, assess the benefits and challenges of integrating AI into business operations, and explore AI-powered business tools and platforms.

Students taking Introductory Statistics display data with graphs, describe distributions with numbers, perform correlation and regression analyses and design experiments. They use probability and distributions to make predictions, estimate parameters and test hypotheses. They draw inferences about relationships including ANOVA.

Explores a variety of advanced C# .NET syntax and language features. This course provides a framework for deep learning by utilizing a variety of resources and tools. Learners will use API test utilities and create C# .NET web API applications. Additional topics include invoking, deploying, and securing web APIs.

Introduces game development using C# and the Unity framework. Learners will construct scenes, control game objects, process user input, implement physics and collisions and develop basic user interfaces. Artificial intelligence tools will support code development, debugging, asset creation, documentation and iterative game design.

Applies C# and the Unity framework to create a more robust game. Learners will implement basic gameplay systems, artificial intelligence behaviors, animation, audio, data persistence, user interfaces and performance optimization. Additional topics include testing, deployment, project organization and responsible integration of AI-assisted development tools.

Deploys local large language model solutions for use in software applications. Learners will install, configure and manage tools such as Ollama, evaluate and run language models and integrate model services through application programming interfaces. Additional topics include basic server administration, network configuration, security, model selection, performance considerations and deployment troubleshooting.

Introduces N-tier software architecture where learners work in Agile teams to create and deploy ASP.NET applications comprised of data access, business and presentation layers using MVC architecture. The application will access data from a relational database using an object-relational mapping (ORM) framework. Additional topics include: Agile project management, version control, authentication, authorization and consuming web services.

Introduces computer programming and terminology in the Python programming language. Special attention is paid to concepts essential to writing basic computer programs. These concepts include: Data Types, Expressions, Loops, File Interaction, Collections, and Functions. Additionally, several tools required to develop Python applications will be explored. Throughout the course learners will develop increasingly complex applications as new topics are introduced.

Introduces topics and libraries related to data analytics in the Python programming language. Learners will explore reading, processing, and writing files in native Python. Then they will explore data analytics, processing and visualization using NumPy, Pandas, Matplotlib and Seaborn.

Introduce learners to the foundational concepts of data programming in the open-source language R. Learners explore ways to visualize data, examine data structures, and model the relationship between variables using commands in R. Learners incorporate problem-solving and critical thinking skills as they write commands to support their work with data analysis.

Examines the ethical, legal, and societal implications of artificial intelligence (AI). Students will explore issues such as bias in algorithms, data privacy, and the broader impact of AI on employment and social structures and will utilize frameworks for ethical AI development and deployment, emphasizing responsible data-driven decision making.

Focuses on developing effective listening techniques and verbal and nonverbal communication skills through oral presentation, group activity, and other projects. The study of self, conflict, and cultural contexts will be explored, as well as their impact on communication.

Develops writing skills which include prewriting, drafting, revising and editing. A variety of writing assignments are designed to help the learner analyze audience and purpose, research and organize ideas and format and design documents based on subject matter and content. Also develops critical reading and thinking skills through the analysis of a variety of written documents.

Constructs introductory agentic artificial intelligence applications that use language models, tools and external data sources to complete defined tasks. Learners will design prompts, implement structured outputs, integrate application programming interfaces and create basic retrieval and tool-calling workflows. Additional topics include agent architecture, memory, testing, error handling, security and responsible AI practices.

Develops advanced agentic artificial intelligence systems that coordinate tools, data and multiple reasoning processes to complete complex workflows. Learners will implement planning, memory, retrieval-augmented generation, multi-agent collaboration, human approval and workflow orchestration. Additional topics include evaluation, observability, reliability, security, deployment and mitigation of unintended agent behavior.

Evaluates contemporary topics, technologies and development practices in artificial intelligence. Learners will compare current AI capabilities, assess emerging tools and techniques, and experiment with model training and adaptation.

Synthesizes contemporary and emerging artificial intelligence technologies to develop solutions for complex problems. Learners will select and integrate appropriate AI approaches, how to maintain currency with evolving AI technologies, and evaluate solutions through applied projects.

Builds team software development and communication skills. Learners will form small teams, each identifying, designing and implementing an attractive and usable software application. The project teams will each use Agile software development principles to manage their projects, communicate project status, adapt to changing requirements and overcome technical challenges. Additional topics include a review of the Agile software development methodology.

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This course provides a basic understanding of the theoretical foundations of ethical thought. Diverse ethical perspectives will be used to analyze and compare relevant issues. Students will critically evaluate individual, social and/or professional standards of behavior and apply a systematic decision-making process to these situations.

This science of psychology course is a survey of multiple aspects of behavior and mental processes. It provides an overview of topics such as research methods, theoretical perspectives, learning, cognition, memory, motivation, emotions, personality, abnormal psychology, physiological factors, social influences, and development.