Advanced Cybersecurity is designed to provide students the advanced concepts and terminology of cybersecurity. The course explores the field of cybersecurity with updated content including new innovations in technology and methodologies. It builds on existing concepts introduced in Introduction to Cybersecurity and expands into malware threats, cryptography, organizational security, and wireless technologies. Various forms of technologies will be used to expose students to resources, software, and applications of cybersecurity. Professional communication skills and practices, problem-solving, ethical and legal issues, and the impact of effective presentation skills are enhanced in this course to prepare students to be college and career ready. Employability skills are integrated into activities, tasks, and projects throughout the course standards to demonstrate the skills required by business and industry. Competencies in the co-curricular student organizations are integral components of both the employability skills standards and content standards for this course. Advanced Cybersecurity is the third course in the Cybersecurity career pathway in the Information Technology Career Cluster. Students enrolled in this course should have successfully completed Introduction to Hardware Technology and Introduction to Cybersecurity. * * *

AP Computer Science A introduces students to computer science through programming. Fundamental topics in this course include the design of solutions to problems, the use of data structures to organize large sets of data, the development and implementation of algorithms to process data and discover new information, the analysis of potential solutions, and the ethical and social implications of computing systems. The course emphasizes object-oriented programming and design using the Java programming language

AP Computer Science Principles introduces students to the breadth of the field of computer science. In this course, students will learn to design and evaluate solutions and to apply computer science to solve problems through the development of algorithms and programs. They will incorporate abstraction into programs and use data to discover new knowledge. Students will also explain how computing innovations and computing systems, including the Internet, work, explore their potential impacts, and contribute to a computing culture that is collaborative and ethical. It is important to note that the AP Computer Science Principles course does not have a designated programming language. Teachers have the flexibility to choose a programming language(s) that is most appropriate for their students to use in the classroom

Artificial Intelligence Applications is the third course in the Artificial Intelligence pathway. This course deepens students' understanding from courses one and two by requiring students to design and apply Artificial Intelligence solutions. The course focuses on creating functional, real-world applications of Artificial Intelligence using machine learning. Students will apply professional software development tools and processes to solve problems using elements of machine learning, with an emphasis on embedded computing systems. Students enrolled in this course should have successfully completed Foundations of Artificial Intelligence, and Artificial Intelligence Concepts. After mastery of the standards in this course, students should be prepared to take the end of pathway assessment in this career area. * * *

Artificial Intelligence Concepts is the second course in the Artificial Intelligence pathway. Students will build upon their foundational understanding of Artificial Intelligence from course one and deepen their understanding of Artificial Intelligence and machine learning concepts. The course continues to explore the elements from course one, with an emphasis on using data science and programming to solve problems. The course requires students to explore real-world applications, potential benefits, and problems, as well as ethical considerations. Students will work to design potential solutions to problems using learning from this course. * * *

The Cloud Computing course is intended for students who seek an overall understanding of cloud computing, independent of specific technical roles, cloud concepts, core services, security, architecture, and support. Students dive deeply into cloud computing best practices and learn how cloud computing helps users develop a global infrastructure to support use case at scale while also developing and inventing innovative technologies. Innovation through cloud computing is making a major impact in nearly every industry, including healthcare, finance, manufacturing, government, and nonprofit. The global public cloud computing market has consistently grown 15 percent year after year and is projected to continue to grow annually. This course utilizes hands-on practical lab activities to explore and build cloud technologies. Students will not only understand the concepts but apply their knowledge to situations and defend their actions/decisions/choices through the knowledge and skills acquired in this course. Employability skills are integrated into activities, tasks, and projects throughout the course standards to demonstrate the skills required by business and industry. Competencies in the co-curricular student organizations are integral components of both the employability skills standards and content standards for this course. Various forms of technologies will be highlighted to expose students to the emerging technologies impacting the digital world. Professional communication skills and practices, problem-solving, ethical and legal issues, and the impact of effective presentation skills are taught in this course as a foundational knowledge to prepare students to be college and career ready. The knowledge and skills taught in this course build upon each other to form a comprehensive introduction to the digital world. Cloud Computing is the third course in the Cloud Computing career pathway. Students enrolled in this course should have successfully completed Introduction to Digital Technology and Computer Science Principles, in that order. After mastery of the standards in this course, students should be prepared to earn an industry-recognized credential in this career area, such as AWS Certified Cloud Practitioner (https://aws.amazon.com/certification/certified-cloud-practitioner/), Google Associate Cloud Engineer (https://cloud.google.com/certification/cloud-engineer), or Microsoft Certified Azure Fundamentals (https://docs.microsoft.com/en-us/learn/certifications/azure-fundamentals/). * * *

How can computing change the world? What is computer science? Engage your creativity. Demonstrate and build your problem-solving ability all while connecting the relevance of computer science to society! Computer Science (CS) Principles is an intellectually rich and engaging course that is focused on building a solid understanding and foundation in computer science. This course emphasizes the content, practices, thinking and skills central to the discipline of computer science. Through both its content and pedagogy, this course aims to appeal to a broad audience. The focus of this course will fall into these computational thinking practices: connecting computing, developing computational artifacts, abstracting, analyzing problems and artifacts, communicating, and collaborating. Various forms of technologies will be used to expose students to resources and application of computer science. Professional communication skills and practices, problem-solving, ethical and legal issues, and the impact of effective presentation skills are enhanced in this course to prepare students to be college and career ready. Employability skills are integrated into activities, tasks, and projects throughout the course standards to demonstrate the skills required by business and industry. Competencies in the co-curricular student organizations are integral components of both the employability skills standards and content standards for this course. Computer Science Principles is the second course in the Programming, Game Design, Internet of Things, Web Development, Cloud Computing, and Computer Science pathways in the Information Technology Cluster. Students enrolled in this course should have successfully completed Introduction to Software Technology. * * *

Data Science is easily one of the fastest growing and most in demand careers in our society. Every industry from farming to finance relies on big data to make decisions. All decisions that we make in our daily life and their consequences are rooted in our ability to analyze and utilize data. Data Science II, is a deeper dive into how statistical analyses can be performed using technical tools and computing skills to solve real world problems. This course goes beyond the fundamental ideas introduced in Data Science I and explores industry level techniques and tools. Real world data is used in a practical manner to extract solutions and insights. The prerequisite knowledge for this course is a strong statistical background, such as that found in AP Statistics, Statistical Reasoning, or the Data Science I course as well as a programming foundation such as that found in Computer Science Principles, AP Computer Science Principles, or AP Computer Science A. * * *

Using web design as the platform for product design and presentation, students will create and learn digital media applications using elements of text, graphics, animation, sound, video and digital imaging for various format. The digital media and interactive media projects developed and published showcase the student skills and ability. Emphasis will be placed on effective use of tools for interactive multimedia production including storyboarding, visual development, project management, digital citizenship, and web processes. Students will create and design web sites that incorporate digital media elements to enhance content of web site. Various forms of technologies will be used to expose students to resources, software, and applications of media. Professional communication skills and practices, problem-solving, ethical and legal issues, and the impact of effective presentation skills are enhanced in this course to prepare students to be college and career ready. Employability skills are integrated into activities, tasks, and projects throughout the course standards to demonstrate the skills required by business and industry. Competencies in the co-curricular student organizations are integral components of both the employability skills standards and content standards for this course. Digital Design is the second course in the Web and Digital Design pathway in the Information Technology cluster. Students enrolled in this course should have successfully completed Introduction to Software Technology. * * *

The demand for programming (software development) has gone well beyond desktop computers and the web, into a ubiquitous world of personal devices, smart cars, intelligent factories, and even more. These systems interact with us directly, as well as with each other. This course will focus on the interaction of programming and devices, using data from various sensors and sources in order to make decisions, take actions, and more. A common industry term to describe this work is Internet of Things. Students will show first-hand how programming and machines interact to accomplish common and essential tasks throughout our society. Various forms of technologies will be used to expose students to resources and application of computer science. Professional communication skills and practices, problem-solving, ethical and legal issues, and the impact of effective presentation skills are enhanced in this course to prepare students to be college and career ready. Employability skills are integrated into activities, tasks, and projects throughout the course standards to demonstrate the skills required by business and industry. Competencies in the co-curricular student organizations are integral components of both the employability skills standards and content standards for this course. Embedded Computing is the third course in the Internet of Things pathway. Students enrolled in this course should have successfully completed Introduction to Software Technology and Computer Science Principles. After mastery of the standards in this course, students should be prepared to earn an industry-recognized credential in this career area. * * *

Artificial Intelligence is an area of study that deals with the simulation of intelligent behavior in computers. Artificial Intelligence sits at the intersection and synergy of critical components from a variety of fields including programming, data science, mathematical reasoning, creative problem solving, ethics, and applied experiences. Careers that require Artificial Intelligence skills (machine learning, data science, programming, etc.) are on the rise and many careers that have existed for years, like Data Analyst or Software Developer, are shifting and growing in industries designing Artificial Intelligence solutions. Foundations of Artificial Intelligence is the introductory course to the Artificial Intelligence pathway, which prepares students to better understand common Artificial Intelligence applications and to apply their knowledge to solve real-world problems using advanced technologies. This introductory course explores the foundations of Artificial Intelligence in society and the workplace, including programming, data science, mathematical reasoning, creative problem solving, ethical reasoning, and real-world applications of Artificial Intelligence. Students will learn the foundational skills to understand how to both interact and develop Artificial Intelligence solutions in a variety of settings. * * *

Students completing this course will gain an understanding of the fundamental principles used at every stage of the game creation process. First, game genres and modes of play are explored in terms of the psychology of incentives, motivation to play, and social networking. Next, virtual characters and non-player characters are reviewed from concept drawing to 2D and 3D art, rigging, and animation. Finally, level design, storytelling, and animation are added to develop a virtual world around the characters. These same techniques are at work in training simulator systems, virtual shopping experiences, augmented reality, and many other important career options. Schools offering this program can provide a foundation of traditional drawing, illustration, and art courses to make way for the 2D and 3D animation, storytelling, character development, audio, and game technology. Various forms of technologies will be used to expose students to resources and application of computer science. Professional communication skills and practices, problem-solving, ethical and legal issues, and the impact of effective presentation skills are enhanced in this course to prepare students to be college and career ready. Employability skills are integrated into activities, tasks, and projects throughout the course standards to demonstrate the skills required by business and industry. Competencies in the co-curricular student organizations are integral components of both the employability skills standards and content standards for this course. Students taking this program are strongly encouraged to add an internship to their curriculum which will give them real world experience, understanding how the computer game industry works. Game Design: Animation and Simulation is the third course in the Game Design pathway. Students enrolled in this course should have successfully completed Introduction to Software Technology and Computer Science Principles. After mastery of the standards in this course, students should be prepared to earn an industry-recognized credential in this career area. * * *