Computer Science Cluster
At Technology High School, the CTE Computer Science cluster is a three‑year, project‑based pathway that starts in sophomore year with Computer Science Principles—building computational thinking, digital citizenship, basic algorithms and introductory web development (HTML/CSS/JavaScript) and scripting—moves into junior year with AP Computer Science A focused on Java and object‑oriented design while continuing to apply front‑end web skills, and culminates in senior year’s Advanced Programming for Information Technology where students develop full‑stack and IT solutions using Java, JavaScript, databases/SQL, APIs, automation scripting, networking and security, version control, and a capstone portfolio project; the program emphasizes collaboration, industry‑aligned tools and practices, optional certifications, and real‑world problem solving to prepare students for college CS programs or entry‑level technology careers while reinforcing ethics and cybersecurity.
Hands on Projects
Real-world projects in every course using industry-standard tools
Opportunities for college Credit
Students take AP CS A during junior year
Industry Recognition
Curriculum aligned with college CS programs and industry certifications
Problem-Solving Focus
Develop critical thinking and computational problem-solving skills
Course Progession
Intro to Computer Science
Fundamentals of Binary Octal and Hexadecimal Number Systems
Basics of block programming
JavaScript Programming concepts: conditionals, loops, arrays, objects
Creating webpages using HTML and CSS
Adding functionality to webpages using JavaScript
4 web projects including a personal portfolio
AP Computer Science A
Introduction to Object Oriented Programming concepts
JAVA conditionals and boolean operations
JAVA loops
Java Arrays and Arraylist
Java objects and classes
Java Inheritance and Polymorphism
Creating Graphical user Interface using JavaFX
2 projects with GUI and Data Manipulation
Advanced Programming For Information Technology
- Designing User Interface using Figma
- Building Modern Webpages using HTMl, CSS, JavaScript
- Integrating React UI library for functional components
- Connecting to backend database using SQL concepts
- Data analysis using Python
- Building regression analysis models for machine learning
Career Pathways
🎨 UI/UX Developer
- Design Tools: Proficiency in tools like Figma, Adobe XD, or Sketch for creating wireframes and prototypes.
- HTML, CSS, and JavaScript: Essential for implementing designs into functional user interfaces.
- User Research: Understanding user needs through surveys, interviews, and usability testing.
- Responsive Design: Ensuring designs work seamlessly across various devices and screen sizes.
- Collaboration: Working closely with developers, product managers, and stakeholders to align design goals with business objectives.
📊 Data Analyst/Scientist
- SQL: Essential for querying and extracting data from databases.
- Excel/Google Sheets: Used for data analysis, reporting, and creating visualizations.
- Programming languages: Proficiency in languages like Python or R is crucial for handling complex data and performing advanced analysis
- Data Visualization Tools: Familiarity with tools like Tableau, Power BI, or libraries like Matplotlib and Seaborn in Python is important for creating visual representations of data.
💻 Software Developer
- Proficiency in languages such as Python, Java, or C++ and the ability to learn new languages quickly.
- Strong problem-solving and debugging skills applied to real-world codebases.
- Solid understanding of data structures, algorithms, and complexity trade-offs.
- Experience with version control (Git) and collaborative workflows (pull requests, code reviews).
- Familiarity with automated testing, CI/CD concepts, and basic performance profiling.
🌐 Web Developer
- HTML, CSS, and JavaScript: These are the fundamental building blocks of web development, providing structure (HTML), style (CSS), and interactivity (JavaScript).
- Databases and SQL: Knowledge of how to manage and query data stored in databases using Structured Query Language (SQL) is necessary.
- Solid understanding of data structures and algorithms.
- Version Control (Git): Using systems like Git is essential for tracking code changes, collaborating with teams, and maintaining an organized codebase.