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2026 / Live / CSS114 LINEAR ALGEBRA FOR COMPUTING / course project

EIGENSCOPE

A May 2026 CSS114 Linear Algebra for Computing course project for analyzing matrices, eigenvalues, and eigenvectors through a focused web experience.

Role

Product design, frontend implementation, mathematical workflow design, and course presentation

Stack

Linear AlgebraEigenvaluesEigenvectorsMatrix AnalysisResponsive Web UINext.jsTypeScriptTailwind CSSInfographic PresentationCourse Delivery
CSS114 LINEAR ALGEBRA FOR COMPUTING / course projectMay 2026 course project
Portfolio banner for EIGENSCOPE, a CSS114 Linear Algebra for Computing project by Pawapon Thammalangka.

May 2026

project month

CSS114

course context

2

approved public visuals

Case study

Product evidence, written as decisions.

The project page uses the structured content model directly, so the visible story stays aligned with the data source.

01 / Problem

What needed to be solved

  • Eigenvalue and eigenvector work can become difficult to review when the calculation context, visual material, and final presentation are separated.
  • Course work needs to communicate both the computing concept and the project outcome without overwhelming the reader.
  • A portfolio version should avoid placeholder images and only use assets that are ready for public viewing.

02 / Solution

How the product responded

  • EIGENSCOPE is published as a concise case study for CSS114 LINEAR ALGEBRA FOR COMPUTING with a clear project month and course context.
  • The page uses a banner and post infographic as the complete approved visual system.
  • The copy explains the work in plain English, focusing on matrix eigen analysis, computing presentation, and practical delivery.

03 / Architecture

System shape

  • The public portfolio data model stores the project metadata, gallery, metrics, case-study sections, and SEO tags in one typed content source.
  • The image assets live under the project image directory and are referenced by stable public paths for production deployment.
  • The project page reuses the same production layout as the Bingo Web Application case study, keeping navigation, media, and content behavior consistent.

04 / Features

Core product behavior

  • Dedicated public portfolio page for the EIGENSCOPE CSS114 course project.
  • Approved banner asset in 3240x1350 format.
  • Approved post asset in 1080x1440 format.
  • Course-focused English content with readable project context and SEO-friendly tags.

05 / Challenges

What made the build harder

  • The writing had to explain the course project clearly without turning into a long academic report.
  • The gallery had to stay limited to the two approved files while still feeling complete as a portfolio entry.
  • The project needed to fit the existing case-study system without changing frontend behavior or adding one-off layout code.

06 / Results

What changed

  • The project is now represented as a complete public case study with course context, approved visuals, and production-ready metadata.
  • The page broadens the portfolio beyond client work by showing academic computing, matrix eigen analysis, and visual delivery.
  • The content stays concise enough for scanning while still giving enough detail to understand the project outcome.

Gallery

Selected frames from the product system.

Wide banner announcing EIGENSCOPE, the CSS114 matrix eigen analyzer project.
The wide banner introduces EIGENSCOPE as a course project with a clear product identity, portfolio-ready layout, and visual direction for web and social sharing.
Portrait infographic for EIGENSCOPE, the CSS114 matrix eigen analyzer project.
The portrait post keeps the course context, project identity, and public presentation aligned in a compact format.

Diagram

Architecture, shown as systems and boundaries instead of vague summaries.

The diagram below is intentionally simple. It shows where the product surfaces begin, where contracts sit, and where technical responsibility becomes operational.

01

Course objective

The project is framed around the CSS114 Linear Algebra for Computing outcome: make matrix eigen analysis easier to inspect, explain, and review.

  • Linear algebra computing context
  • Eigenvalue and eigenvector workflow
  • Portfolio-ready case study scope

02

Web presentation

The frontend presents EIGENSCOPE as a focused learning artifact instead of a generic school assignment page.

  • Responsive project page
  • Readable case-study structure
  • Concise technical context

03

Approved visuals

Only the submitted EIGENSCOPE banner and post assets are used, keeping the public project clean and consistent with the prepared visual identity.

  • 3240x1350 banner asset
  • 1080x1440 post asset
  • No placeholder or mockup imagery

Decisions

Implementation decisions that made the build more credible.

Decision 01

The case study stays tied to the course outcome

The public copy focuses on CSS114, linear algebra, eigen analysis, and computing context instead of adding unrelated portfolio claims.

Visitors can understand what the project is, why it exists, and how it connects to the academic work without reading a long report.

Decision 02

Only final approved artwork is published

The gallery uses the provided banner and post files as the complete visual set for the project.

That avoids weak mockups, keeps the page honest, and makes future asset updates straightforward.

Decision 03

The writing is compact by design

The page explains the objective, process, and result in short sections that work for both recruiters and technical readers.

The project reads like a finished portfolio entry instead of raw coursework pasted onto a website.

Contact

Open for thoughtful product work.

Internships, freelance builds, and product teams with a high bar for implementation quality.

Direct, fast, and easy to route.

Base

Thailand / Thai / English

parkpawapon.com03s

Portfolio

Pawapon Thammalangka

Full-stack developer