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.

W0

Week 0

/1 Complete

SDLC Enablement

W1

Week 1

/1 Complete

Tools and Equipment Setup

W2

Week 2

/2 Complete

Agile Methodologies Practitioner

GitHub Pages Series

W3

Week 3

/1 Complete

JavaScript OOP Coder

1 assignment due

Sprint2

Python / Flask Web Development

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.

W4

Week 4

/2 Complete

Framework for Sprints

JavaScript and Python Student Teaching

W7

Week 7

/5 Complete

Python Variables and Assignments

Nested Conditionals

Strings

Variables and HTML DOM

BI 3 | ALGORITHMS AND PROGRAMMING | Fundamentals

1 assignment due

Sprint3

Creating a Web Application for N@tM

The team Website should include rewl-world interests but also requires the use of a JavaScript frontend, a Python Flask backend, and deployed on AWS. 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, Frontend, and Backend. In November, the Trimester will end by presenting the team project at the Electives Department "Night at the Museum" (N@tM).

W8

Week 8

/4 Complete

3.12 Calling Procedures

3.2 Data Abstractions

3.2 Data Abstractions Hack

Full-Stack Development and Microblogging

W10

Week 10

/2 Complete

Python/Flask Backend Legacy Materials

Flocker Start APIs

W12

Week 12

/1 Complete

Web Sockets

Sprint4

Warm-up Create Performance Task, Data Abstraction, Computer Systems, Networks, Impact of Computing

Trimester 2 will begin with advancement of Social Media Project, CPT learning and ideation. Great projects contain frontend style and backend data. Ideation for your CPT project should contain frontend using SASS; JavaScript interacting with user events; and a database with personal data structures. Student Teaching during this period will be preparing for College Board MCQ, topics will be assigned.

W13

Week 13

/2 Complete

Python/Flask Backend Infograph

UX Design and Development

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

Create Performance Task (CPT) final design and development

Trimester 2 continues with CPT project design and development. The big focus is on frontend/backend completion using data, databases, and leveraging login.

W17

Week 17

/4 Complete

Data | SQLAlchemy

Data | Binary Logic

Sprint 5 - CSP Data, Debugging, Deployment, and Testing

Computing System | Network | AWS Deployment

W18

Week 18

/1 Complete

API | Request | Response | Database

W21

Week 21

/1 Complete

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

Sprint6

N@tM and Create Performance Task (CPT) video and presentations. MCQ Exam Practice.

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.

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)

Progress

Certificates

Open Coding Society

Certificate of Completion

Presented to

Has successfully completed the module:

as part of the course
.

Skill Focus

Skills Demonstrated

John Mortensen

Course Instructor

Open Coding Society