课程大纲简要概述生成

数据可视化基础：面向大二及以上的Python可视化入门

课程概览 面向大二及以上学生的实用型课程，聚焦图表选择与人类感知原则，配合Python与Matplotlib完成常见基础可视化构建与规范呈现。

适用对象与先修

• 适用对象：大二及以上学生
• 先修要求：统计学基础；熟悉Python基础语法

课程目标

• 掌握基于感知与任务的图表选择原则
• 使用Python与Matplotlib实现基础图表绘制

单元设置（4单元）

1. 认知与图表类型：理解感知原理与常见图表的使用场景
2. 颜色与版式：配色策略与版式规范，提升可读性与一致性
3. 折线、柱状与散点：用Matplotlib实现核心图表并进行对比与优化
4. 数据清洗与图表规范：基础清洗流程与可视化规范化表达

考核方式

• 平时作业2次
• 期末可视化项目

结果导向 完成课程后，能根据任务选择合适图表，并用Python/Matplotlib高效绘制与规范呈现基础数据可视化。

Frontend Engineering in Practice: 4-Week, 2-Iteration Overview

A focused, hands-on course designed to transition learners from entry-level to intermediate, with concrete milestones and a production-ready outcome.

Timeline and Milestones

• Cadence: 4 weeks, 2 iterations
• M1 (end of Week 1): ESLint + Prettier setup and modular build established
• M2 (end of Week 3): Vite integrated and unit testing framework connected
• M3 (end of Week 4): CI/CD completed and performance baseline defined

Core Units

• Modern JavaScript Features and Conventions
• Build Tools and Package Management
• Automated Testing
• Release and Monitoring

Difficulty

• Transition level: Beginner to Intermediate

Outcome

• A maintainable frontend scaffolding repository ready for real-world use

Keywords: frontend engineering, Vite, ESLint, Prettier, unit testing, CI/CD, performance baseline, build tools, package management, release, monitoring, modern JavaScript