The Computer Operating Systems course explores the concepts of operating systems and how they interface with hardware and application software. Principles of kernels, processes, device drivers, file systems, and user permissions are examined. Students will understand how to install and configure various types of operating systems and how to use this knowledge to restrict access to certain users.

Computer Operating Systems

Explore the concepts of operating systems and how they interface with hardware and application software.

The Data Visualization and Modeling course covers techniques that allow developers to integrate large data sets from disparate sources and create visualizations of sample data. Data collection is a key part of simulation, but accurate use of that data is equally important. Developing good statistical models and understanding probabilistic distributions can help an engineer build a more accurate simulation.

Data Visualization and Modeling

Learn how developers integrate large data sets from disparate sources and create visualizations of sample data.

The Discrete Mathematics course provides an introduction to basic concepts of mathematics and mathematical reasoning. Students will explore propositional and symbolic logic, sets and relations, sequences, functions, algorithms, matrices, number theory, combinatorics, probability, and Boolean algebra. Students will also use sets, truth tables, and other data structures to recognize and express mathematical ideas graphically, numerically, symbolically, and in writing.

Discrete Mathematics

This course gives students an introduction to basic concepts of mathematics and mathematical reason.

The Web Interfaces and Usability course focuses on fundamental interaction design and usability principles coupled with proven user interface-design patterns. Applying the concepts learned in this course will increase students’ ability to create effective user experiences and understand how user behavior and interaction influence information architecture and design.

Interfaces and Usability

Learn how to create effective user experiences and how user behavior influences information architecture and design.

The Introduction to Information Security course presents the concepts of network security, encryption, and security policies. Students will learn security principles and how to apply this knowledge throughout future courses. Role based access control, trusted parties, risk assessment, and incident response management practices are applied to business policies and technology systems to protect data and preserve records. The use of encryption in computer, network, and storage systems is studied and applied.

Introduction to Information Security

Learn how role based access control, risk assessment, and incident response management are applied to business policies.

The Introduction to Web Architecture course introduces students to principles of web development and application architecture. Students will identify the elements necessary in a functional web application. They will examine how data flows between technical components and distinguish the many team member roles and responsibilities spanned by the work. They will develop an understanding of basic web page syntax using HTML and CSS. By completion of the course, students will fundamentally grasp how key components of web-based applications integrate with each other.

Introduction to Web Architecture

Develop an understanding of basic web page syntax using HTML and CSS and how web-based applications can integrate.

The Networking Technologies course introduces students to the principles of network architecture, network protocols, application protocols, and Internet design. Students will learn how to identify local and wide-area networks and their specific standards as well as how Internet data is delivered.

Networking Technologies

Discover the principles of network architecture, network protocols, application protocols, and Internet design.

The Programming I course covers fundamental computer science and programming topics such as algorithms, software problem solving, input/output, control flow, functions, object-oriented programming, and references. Students will learn how to program software in a modern high-level programming language.

Programming I

Explore programming topics like algorithms, input/output, control flow, and object-oriented programming.

The Programming II course teaches advanced object-oriented programming concepts, focusing on inheritance and events as tools for creating programs. Students in this course will also learn file input/output (I/O) as well as several abstract data types that will be useful in designing and building larger programs. Students will also be introduced to additional foundational skills such as sorting algorithms and recursion.

Programming II

Learn advanced object-oriented programming concepts, focusing on inheritance and events as tools for creating programs.

In the System Scripting Fundamentals course, students will learn the fundamentals of using programming languages to make logic decisions, control the operating system, and automate systems management. The use of libraries and user-defined functions will be applied to scripts. Operating system shell scripts and interpreted scripting languages will be explored. This course clarifies the types of languages used in this industry and outlines their successful application in controlling servers.

System Scripting Fundamentals

Learn how to use programming languages to make logic decisions, control the operating system, and automate.

The Systems Programming course explores techniques and methods used in object-oriented programming (OOP) languages through an architecture-focused approach. Students will be introduced to the core OOP concepts of inheritance, encapsulation, interfaces, abstract classes, and polymorphism. Students will also learn to apply industry-standard techniques such as reusability and efficiency in object-model implementation. This course also looks at the principal advantages of OOP compared to procedural programming techniques.

Systems Programming

Discover techniques used in object-oriented programming (OOP) languages through an architecture-focused approach.

In the Virtual Computing course, students will learn about computer hardware virtualization, container technologies, and virtualization software. Students will deploy Linux and Windows operating systems using virtualization software and will apply these technologies throughout future courses as they build more complex systems. This course will provide a clear understanding of virtual machines and containers and how each are managed and implemented.

Virtual Computing

Explore computer hardware virtualization, container technology, and virtualization software including Linux and Windows.

Explore the ways AI can improve your design workflow and push the boundaries of your creativity with Full Sail DC3’s Generative AI for Design course. You’ll dive into the ethical considerations and practical applications of generative AI and discover how AI tools can accelerate your design process. You’ll also learn to write effective AI prompts for creating visuals, automating repetitive tasks, and building personalized design experiences. After discovering the ways you can collaborate with AI while maintaining creative control, you’ll be ready to start using generative AI in your own design projects.

Generative AI for Design

Students learn about generative AI fundamentals, ethical considerations, the various applications of AI in design, and how to craft effective AI prompts.

Fundamentals of Generative AI in Design

Students explore generative AI applications, tools, and techniques for industries like graphic design, UI/UX design, web design, fashion, architecture, and more.

Leveraging Generative AI Across Design Industries

Students discover how to embrace AI as a design partner by establishing collaborative workflows and developing hybrid skills that combine AI with human creativity.

Mastering the Human-AI Relationship in Design Innovation

This course covers the basics of using generative AI in the design world.

If you’re a current or aspiring game developer who’d like to explore the ways generative AI tools are used in the gaming industry, you can get started on the fundamentals with this Full Sail DC3 course. You’ll learn about the history and ethics of generative AI and investigate the uses of generative, behavioral, and analytical AI. You’ll also cover game-specific AI techniques, like designing adaptive NPCs and integrating chatbots, then create a fully functional game using AI-assisted coding and design tools. Through a blend of theory and practical applications, this course can empower you to use AI tools to craft immersive gaming experiences.

Generative AI for Gaming

Students explore core concepts of generative AI in the gaming industry, learn the basics of the game design process, and get hands-on practice using tools like ChatGPT.

Fundamentals of AI in Gaming

Students learn how behavioral and analytical AI can create more immersive games with improved game mechanics. In addition, they’ll use AI tools to create a chatbot-driven NPC.

Game-Specific AI Tools

Students will create their own game using AI tools to write code, generate game art, and produce music and sound effects. They’ll also learn how to use AI to market their game.

Leveling Up Your Skills

This course explores foundational skills for using generative AI tools to create games.

Are you curious about the ways AI-generated music can enhance your creative projects? Start learning the fundamental skills to create AI music with Full Sail DC3’s Generative AI for Music course. You’ll gain a comprehensive introduction to the history, applications, and ethics of AI music, then explore music theory basics and how they fit into the AI creation process. Practical exercises will help you choose the right generative AI tools for your needs and craft effective AI prompts for music creation. You’ll also learn how to integrate your music into videos, podcasts, social posts, and more. By the end of this course, you’ll be equipped to create AI-generated music for your projects, setting them apart in the creative landscape.

Generative AI for Music

Students learn about the history of AI music generation, discover music theory fundamentals, and explore the ethical considerations of using AI-generated music.

Introduction to Generative AI Music

Students explore generative AI music platforms and tools, figure out which options are the most effective for their specific needs, and learn to create effective AI prompts.

Tools & Techniques for Generative AI Music

Students learn strategies for adding their AI music to creative projects like podcasts, social media posts, films, and more, plus advanced AI techniques for customizing their music.

Integrating Generative AI Music

This course covers the basics of creating AI-generated music for creative projects.

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Established in 1979, Full Sail University offers a different kind of education for students who dream big. We offer both online and on-campus graduate and undergraduate degree programs that span the worlds of emerging technologies and entertainment media. Each program is career-focused with accelerated curriculum taught by instructors with real-world experience in their industry.

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All Full Sail DC3 curriculum is created in collaboration with people who’ve done the work and know the subject - from sportscasting to audio engineering.

Built by Full Sail University, using everything we’ve learned in 45+ years of offering hands-on, project-based degrees for the world of entertainment media and emerging technologies.

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