The FutureReadyNYC Technology pathway aspires to create robust technology-career-focused instructional tools and support to enable NYC high schools to meet the ambitions of their students, regardless of life experiences, identities, or perceptions of self. This is achieved through the design of full-year intentional course sequences that are reinforced by credentials of value and curricular supports that have been assessed to meet or surpass all of our educational milestones. Students who are graduating from the technology pathway will be equipped with the knowledge and confidence to pursue a career and/or a higher education in a technology-related field.
Each occupational title introduces students to a four-part course sequence:
Software Developer
The Software Developer occupational title begins with introducing students with how technology integrates itself across industries and then introduces students to coding platforms such as JavaScript, HTML, CSS, and web-based application development tools. Over the course of this sequence, students will build upon their coding and foundational computer science knowledge to bridge the gap between technical skills and creative applications following an ethical approach to software development.
Course 1: Introduction to Computer Science
Introduction to Computer Science is a course intended to provide students with exposure to various information technology occupations and pathways such as Cybersecurity, Data Science, and Software Development. Upon completion of this course, proficient students will be able to describe various information technology (IT) occupations and professional organizations. Moreover, they will be able to demonstrate logical thought processes and discuss the social, legal, and ethical issues encountered in the IT profession.
Course 2: Computer Programming I
Computer Programming is a course intended to teach students the basics of computer programming. The course places emphasis on practicing standard programming techniques and learning the logic tools and methods typically used by programmers to create simple computer applications. Upon completion of this course, proficient students will be able to solve problems by planning multistep procedures; write, analyze, review, and revise programs, converting detailed information from workflow charts and diagrams into coded instructions in a computer language; and will be able to troubleshoot/debug programs and software applications to correct malfunctions and ensure their proper execution
Course 3: Computer Programming II <OR> AP Computer Science Principles
Computer Programming II challenges students to develop advanced skills in problem analysis, construction of algorithms, and computer implementation of algorithms as they work on programming projects of increased complexity. In so doing, they develop key skills of discernment and judgment as they must choose from among many languages, development environments, and strategies for the program life cycle. Course content is reinforced through numerous short- and long-term programming projects, accomplished both individually and in small groups. These projects are meant to hone the discipline and logical thinking skills necessary to craft error-free syntax for the writing and testing of programs. Upon completion of this course, proficient students will demonstrate an understanding of object-oriented programming language using high-level languages such as FOCUS, Python, or SAS.
AP Computer Science Principles is an introductory college-level computing course that introduces students to the breadth of the field of computer science. Students learn to design and evaluate solutions and to apply computer science to solve problems through the development of algorithms and programs.
Course 4: Software Development Practicum <OR> AP Computer Science A
Cybersecurity Analyst
The Cybersecurity Analyst occupational title introduces students to concepts of technology, and then builds into an intentional sequence focused on established, stackable credentials including CompTIA Security+ and Network+. During the student experience, they will learn about the technical and social aspects of cybersecurity and conclude in a comprehensive practicum that provides students an opportunity to demonstrate their understanding of security methods and tools, architecture, and operations.
Course 1: Introduction to Computer Science
Introduction to Computer Science is a course intended to provide students with exposure to various information technology occupations and pathways such as Cybersecurity, Data Science, and Software Development. Upon completion of this course, proficient students will be able to describe various information technology (IT) occupations and professional organizations. Moreover, they will be able to demonstrate logical thought processes and discuss the social, legal, and ethical issues encountered in the IT profession.
Course 2: CompTIA Network+
CompTIA Network+ is a course intended to teach students the basic concepts of cybersecurity. The course places an emphasis on security integration, application of cybersecurity practices and devices, ethics, and best practices management. The fundamental skills in this course cover both in-house and external threats to network security and design, how to enforce network level security policies, and how to safeguard an organization’s information. Upon completion of this course, students will be able to demonstrate an understanding of cybersecurity concepts, identify fundamental principles of networking systems, understand network infrastructure and network security, and be able to demonstrate how to implement various aspects of security within a networking system.
Course 3: CompTIA Security+
CompTIA Security+ is a course that challenges students to develop advanced skills in concepts and terminology of cybersecurity. This course builds on previous concepts introduced in CompTIA Network+ while expanding the content to include malware threats, cryptography, wireless technologies and organizational security. Upon completion of this course, students will be able to demonstrate an understanding of cybersecurity ethical decisions, malware threats, how to detect vulnerabilities, principles of cryptology, security techniques, contingency plan techniques, security analysis, risk management techniques, and advanced methods of cybersecurity.
Course 4: Cybersecurity Practicum
Cybersecurity Practicum is a capstone course intended to provide students with the opportunity to apply the skills and knowledge learned in previous Cybersecurity courses toward the completion of an in-depth project with fellow team members. Students who have progressed to this level in the Cybersecurity pathway take on more responsibilities for producing independent work and managing processes involved in the planning, designing, refinement, and production of cybersecurity applications. Upon completion of the practicum, students will be prepared for postsecondary study and career advancement in cybersecurity.
Data Analyst
The Data Science occupational title introduces concepts in data analysis and literacy. A student's experiences will include learning about key programming languages such as Python, as well as integrating and understanding the interrelationship between technology, ethics, and analysis. The final course in the sequence will be a cumulative experience that allows students to leverage their experiences to learn how they translate to professional skills.
Course 1: Introduction to Computer Science
Introduction to Computer Science is a course intended to provide students with exposure to various information technology occupations and pathways such as Cybersecurity, Data Science, and Software Development. Upon completion of this course, proficient students will be able to describe various information technology (IT) occupations and professional organizations. Moreover, they will be able to demonstrate logical thought processes and discuss the social, legal, and ethical issues encountered in the IT profession.
Course 2: Computer Programming I
Computer Programming is a course intended to teach students the basics of computer programming. The course places emphasis on practicing standard programming techniques and learning the logic tools and methods typically used by programmers to create simple computer applications. Upon completion of this course, proficient students will be able to solve problems by planning multistep procedures; write, analyze, review, and revise programs, converting detailed information from workflow charts and diagrams into coded instructions in a computer language; and will be able to troubleshoot/debug programs and software applications to correct malfunctions and ensure their proper execution
Course 3: AP Statistics
AP Statistics is an introductory college-level statistics course that introduces students to the major concepts and tools for collecting, analyzing, and drawing conclusions from data.
Course 4: Data Analytics, Visualization, & Machine Learning
Data Analytics, Visualization, & Machine Learning is a course designed to teach students the basic concepts of databases and data analytics. The course places an emphasis on learning and practicing database management, understanding the five types of data models, and utilizing software and languages such as Excel and Structured Query Language (SQL). Students will be challenged to develop advanced skills in data visualization and analysis and to introduce students to the concepts of machine learning. The course builds upon previous concepts introduced in Data Analytics and AP Statistics. Upon completion of this course, proficient students will be able to organize data into well- structured and easily retrievable data formats, gain a strong foothold related to data analysis, demonstrate an understanding of emerging patterns inside the data, tell the story of the data through visual representations, and explore how Machine Learning can be used based on the kind of data and the problem to be solved.
