The PLTW Computer Science program of study engages high school students in computational thinking and prepares a computationally aware and capable workforce. This program comprises introductory, foundation, and specialty courses. Schools that choose to implement Computer Science will bring on two year-long foundation courses: Computer Science and Software Engineering (CSE) and Computer Science Applications (CSA). Schools can then choose from an introductory course and a variety of specialty courses to complete a minimum of three (3) years of content for the program.
The descriptions of the specialization and capstone courses are tentative and represent current thinking about options to complete a rigorous four-year high school computer science program of study.
Introduction to Computer Science (ICS, 0.5 year)
Designed to be the first computer science course for students who have never programmed before, ICS is an optional starting point for the PLTW Computer Science program. Students work in teams to create simple apps for mobile devices using MIT App Inventor®. Students explore the impact of computing in society and the application of computing across career paths and build skills and awareness in digital citizenship and cybersecurity. Students model, simulate, and analyze data about themselves and their interests. They also transfer the understanding of programming gained in App Inventor to learn introductory elements of text-based programming in Python® to create strategy games.
Computer Science and Software Engineering (CSE, 1 year)
Using Python® as a primary tool and incorporating multiple platforms and languages for computation, this course aims to develop computational thinking, generate excitement about career paths that utilize computing, and introduce professional tools that foster creativity and collaboration. This course can be a student’s first course in computer science, although we encourage students without prior computing experience to start with Introduction to Computer Science. CSE helps students develop programming expertise and explore the workings of the Internet. Projects and problems include app development, visualization of data, cybersecurity, and simulation. This course aligns with the AP Computer Science Principles course. Download detailed course outline.
Computer Science Applications (CSA, 1 year)
CSA focuses on integrating technologies across multiple platforms and networks, including the Internet. Students collaborate to produce programs that integrate mobile devices and leverage those devices for distributed collection and data processing. Students analyze, adapt, and improve each other’s programs while working primarily in Java™ and other industry-standard tools. This course prepares students for the AP Computer Science-A course.
Simulation and Modeling (SAM, 0.5 year)
In SAM, students create models and simulate social, physical, and biological systems. Students apply statistics and data analysis to understand systems and predict behavior, and they compare models to complex, real data. Students create simulations to communicate central ideas in the physical, biological, and social sciences and deepen their understanding of concepts in discrete math and computer science. This course emphasizes collaboration, professional writing, and the scientific method. It aligns with CSTA Level 3C Standards.
Artificial Intelligence (AI, 0.5 year)
AI students will develop artificially intelligent systems that create solutions to real problems found in science and industry. Students analyze problems for computational difficulty and analyze solutions for computational efficiency. Students engage in a wide array of applications, including automated vehicles and computer vision. This course aligns with CSTA Level 3C Standards.
Cybersecurity (SEC, 0.5 year)
SEC introduces the tools and concepts of cybersecurity and encourages students to create solutions that allow people to share computing resources while protecting privacy. Nationally, computational resources are vulnerable and frequently attacked; in SEC, students solve problems by understanding and closing these vulnerabilities. This course raises students’ knowledge of and commitment to ethical computing behavior. It also aims to develop students’ skills as consumers, friends, citizens, and employees who can effectively contribute to communities with a dependable cyber-infrastructure that moves and processes information safely. The course aligns with CSTA Level 3C Standards.
Capstone Course: Computational Problem Solving (CPS, 1 year)
As a capstone course, CPS offers students the opportunity to work in a team to deliver a software solution to a real-world design problem. Teams start by defining problems, which might originate from CPS students, community, or industry clients, or students in other problem-based courses, and use the Agile design process to develop a software solution. Effective practices in problem solving, documentation, software development, presentation, and collaboration are central to the course. The course aligns with CSTA Level 3C Standards.
Sequence of Courses
PLTW Computer Science offers options depending on a student’s prior experience with computer science, and we expect two common sequences of courses. For students with no programming experience, ICS followed by CSE and then CSA provides students with a strong foundation of computer science knowledge and skills. Following CSA, students would be prepared to take any of the specialization or capstone courses.
For students with previous programming experience, either through coursework or self-directed activities, or for students who have demonstrated strong academic performance in other disciplines, CSE is the starting point. Following CSE, students would then take the second foundational course, CSA. This sequence allows students to build upon their previous knowledge of programming and develop a common set of computer science knowledge and skills. After CSA, students would be prepared for any of the specialization or capstone courses.
During the development phase, PLTW staff and other subject matter experts write curriculum and assessments. Following development, select schools in our pilot program provide feedback on curriculum and accompanying tools, in preparation for full release to the network in the following fall.