Course Timeline

Sprint1

SDLC & Dev Tools

By the end of this onboarding sprint, students will be able to operate effectively within a modern software development environment and articulate how their work fits into the Software Development Life Cycle (SDLC). Students will set up and use core development tools (Linux, VSCode, GitHub), collaborate using industry-standard workflows, and iteratively build and document a personal portfolio site. Through hands-on practice with Markdown, HTML, CSS, and JavaScript in a Jekyll-based workflow, students will develop sustainable development habits—embracing iteration, version control, documentation, pair programming, and responsible AI usage—while prioritizing breadth of SDLC understanding over depth of implementation.

Week 0

/1 Complete

SDLC Enablement

Week 1

/1 Complete

Tools and Equipment Setup

Week 2

/3 Complete

About Page (about.md)

Agile Methodologies Practitioner

GitHub Pages (index.md)

Week 3

/1 Complete

JavaScript OOP Coder

1 assignment due

Sprint2

JavaScript and Python Foundations

During these weeks, students will learn fundamentals of programming and blog their learnings. There will be several student-led lectures (student teaching) that provide foundational concepts and help students learn programming and key principles required by the College Board.

Week 4

/13 Complete

Objectives in LxD

3.4 Strings

3.3 Mathematical Expressions

3.3 Math Expressions

3.2 Data Abstractions

3.1 Variables & Assignments

3.1 Variables and Assignments

3.1 Variables and Assignments (Sample)

Intro to Python

Intro to Javascript

Variables and HTML DOM (Sample)

Week 5

/8 Complete

3.5 Boolean Expressions (PY)

3.5 Boolean Expressions (JS)

3.8 Iterations

3.7 Nested Conditionals

3.6 Conditionals

3.8 Iterations

3.7 Nested Conditionals

3.6 Conditionals

Week 6

/5 Complete

3.13 Developing Procedures

3.12 Calling Procedures

3.10 Lists

3.13 Developing Procedures

3.10 Lists

Week 7

/8 Complete

3.9 Developing Algorithms

3.17 Algorithmic Efficiency

3.9 Algorithms

3.17 Algorithmic Efficiency

3.15 Random Numbers (pseudocode)

3.15 Random Numbers (js)

3.15 Random Numbers (py)

BI 3 Review

Sprint3

Creating a Web Application for N@tM

The team Website should include real-world interests but also requires the use of a JavaScript frontend including use of Local Storage for persistent data. By the end of the Sprint, students will be ready to start many of the technical coding aspects of Web Development; having established a Website with a learning purpose. In November, the Trimester will end by presenting the team project at the Electives Department "Night at the Museum" (N@tM).

Week 8

/3 Complete

Frontend Development Objectives

Plagiarism Prevention Prototype (Sample)

Framework for Sprints

Week 9

/1 Complete

Plagiarism TDD plan and ceremony (Sample)

W10

Week 10

/1 Complete

Plagiarism Usability Test Plan (Sample)

W11

Week 11

/1 Complete

Planning Workspaces and APIs (Flocker)

Sprint4

Create Performance Task (CPT) Full Stack

Trimester 2 will begin with advancement of the Web Project. Using CPT learning requirements, personal interests for ideation, and PBL advancements with Python/Flask students will make a Full Stack Project. Great projects contain frontend style and backend persistent data, database. Ideation for your CPT project should contain frontend styling; JavaScript interacting with user requests; and a database with personal data structures.

W13

Week 13

/3 Complete

UX Development Objectives

Python/Flask Backend Infograph

Intro to Flask

W14

Week 14

/2 Complete

Computer System | Web Server | Flask

Flask Debug Walk-Through

W15

Week 15

/1 Complete

Frontend Authentication with a Backend Flask Application

W16

Week 16

/1 Complete

Team Review and Video

Sprint5

CPT final Design and Development

Data Abstraction, Computer Systems, Networks, Impact of Computing. Trimester 2 continues with CPT project design and development. The big focus is on frontend/backend completion using data, databases, and leveraging login. Backend project will be deployed on AWS. Students should be able to talk about data structures, data abstraction, and how their system works from frontend to backend including networks and systems. To aid in talking, there will be student-led lectures (student teaching) that provide foundational concepts and help students learn key principles required by the College Board.

W17

Week 17

/6 Complete

Team Project Objectives

UI Runner Examples

Game Runner Examples

Code Runner - Examples

Code Runner - JavaScript

Data | Binary Logic

W18

Week 18

/1 Complete

Computing System | Network | AWS Deployment

W19

Week 19

/1 Complete

Data | SQLAlchemy

W20

Week 20

/2 Complete

Network Stack | Frontend and Backend | HTTP and TCP/IP

API | Request | Response | Database

W21

Week 21

/1 Complete

Web Sockets

Sprint6

N@tM Presentations and AP Exam Prep

Trimester 2 concludes with students presenting their CPT project at N@tM. Each person within "Student Teams" will have their own specialty within the student project that satisfies all their Create Performance Task requirements. Students should be able to talk about design, coding, iteration, and present features of their portion of the system. There will be an MCQ Exam Practice during finals week.

Sprint7

Data Structures and Data Science

This is the beginning of a college course following the outline of CS113 Data Structures from Mira Costa CC. Topics, using Python, include searching, sorting, hashing, algorithms, analysis, object-oriented design, collections, lists, stacks, queues, trees, sets, dictionaries, and graphs.

W25

Week 25

/5 Complete

ML | Fitness

ML | Neural Network | Handwritting Detection

ML | Titanic Data

Data Frames | Pandas | Intro 2

Data Frames | Pandas | Intro 1

Sprint8

AP Weeks

Activities will be focused on supporting students in test preparations, including student teaching. Days that are not focused on test preparation will be focused on planning for year-end project/portfolio.

Sprint9

Passion Project and N@tM

Presenting accomplishments for the year by creating a passion project for N@tM. This project will serve as the year-end final exam.

W34

Week 34

/1 Complete

Sprint 9 - CSP Objectives (Final)

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Course Timeline

SDLC & Dev Tools

Week 0

Week 1

Week 2

Week 3

JavaScript and Python Foundations

Week 4

Week 5

Week 6

Week 7

Creating a Web Application for N@tM

Week 8

Week 9

Week 10

Week 11

Create Performance Task (CPT) Full Stack

Week 13

Week 14

Week 15

Week 16

CPT final Design and Development

Week 17

Week 18

Week 19

Week 20

Week 21

N@tM Presentations and AP Exam Prep

Data Structures and Data Science

Week 25

AP Weeks

Passion Project and N@tM

Week 34

Progress

Certificates

Skills Demonstrated

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