Computer Science Time Box Page


Unit1: Build a Lab Notebook

Install Tools. Design lab notebook. Learn GitHub Pages. Work with Pair (pair name).

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0 - Sample Daily Plan
- Sample Tool Procedure ...
- Sample IPYNB w/ html,img
1 - Sample of Detail Plan
- Sample IPYNB w/ table,code
- Sample Review Ticket
2 - Week 2 Plan
- Calculator IPYNB
- Game of Life
- Calculator MD
- Classic Snake Game
3 - Week 3 Plan

Unit2: Learn Language

Learn (JavaScript|Python|Java). Start Agile development process.

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Unit3: Web Application, Data, and N@tM

Student teams need to build their own Website and individuals need to blog their learnings. The team Website should include interests, but also requires the use of Python Flask and JavaScript programming. By the end of the Sprint, students will be ready to start many of the technical coding aspects of Web Development; having established a Deployed Website, Frontend, and Backend. In November, the Trimester will end by presenting team project at the Electives Department "Night at the Museum" (N@tM).

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Unit4: Warm-up Data Abstraction Project, Create Performance Task (CPT) kickoff

Trimester 2 will begin with a Mini-project. Great projects begin with frontend style. This project will be using SASS, JavaScript, managing user events and representing Algorithms. Tech talks during this period will be preparing for College Board Create Performance Task.

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Unit5: CPT design and development, Computer Systems, Networks, Impact of Computing

Trimester 2 continues with CPT project design and development. Student Teaching will focus on College Board Units 4 and 5.

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Unit6: Create Performance Task (CPT) and N@tM, MCQ Exam Practice

Trimester 2 concludes with student presenting their CPT project at N@tM. Each person within "Student Teams" will have their own specialty within the student project that satisfied all their Create Performance Task requirements. Student should be able to talk about design, coding, and present features of their portion of the system.

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23 - NATM Blog
24 - Individual Review

Unit7: Data Structures and Data Science

This is the beginning of a college course following 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.

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25 - Data Structures Seed
26 - MCQ 2021 Corrections
27 - Individual Review Ticket ML
28 - Data Structures Writeup Blog
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Unit8: 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.

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Unit9: 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.

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35 - Final Review
36 - Final Interview