Allan Bian allanbian1017

📱 16 週高職 Android 與 Java 開發精要課程大綱

🎯 課程簡介

本課程專為高職生設計，為期 16 週。課程採「先穩固 Java 邏輯、再進入 Android 實戰」的漸進式結構。前 4 週透過基礎語法建立邏輯與運算思維，第 5 週進行階段性術科測驗檢視成效。自第 6 週起，帶領學生實際進入 Android Studio，透過三個經典實用專案（BMI 計算器、跑馬燈、捷運到站查詢、數字猜謎），逐步熟悉介面開發、使用者互動、訊息交談窗及跨程式啟動等進階技巧。課程最後將進行綜合性的術科期末測驗，並安排補考週確保每位學生皆能達到基礎開發能力。

📅 16 週課程總覽

📱 高職 Android 課程：期末與補考術科測驗題庫

本題庫包含 10 題期末測驗題 與 10 題補考測驗題。每道題目皆綜合本學期所有重點要求，包含：UI 佈局 (EditText/Button)、跑馬燈效果、If-Else 條件判斷、AlertDialog 交談窗 及 Intent 跨程式操作。

🟢 Part 1：期末測驗題庫 (10 題)

題型 1：匯率換算與外匯查詢 App

PEP: 8
Title: Style Guide for Python Code
Version: $Revision$
Last-Modified: $Date$
Author: Guido van Rossum <guido@python.org>,
        Barry Warsaw <barry@python.org>,
        Nick Coghlan <ncoghlan@gmail.com>
Status: Active
Type: Process

Content-Type: text/x-rst

Deep Learning Papers Reading Roadmap

If you are a newcomer to the Deep Learning area, the first question you may have is "Which paper should I start reading from?"

Here is a reading roadmap of Deep Learning papers!

The roadmap is constructed in accordance with the following four guidelines:

From outline to detail
From old to state-of-the-art

	# -- mode: gitconfig; --
	# vim: set filetype=gitconfig:

	##
	# GitAlias.com collection of many git alias items, including shortcuts,
	# helpers, workflows, utilties, visualizers, reports, etc.
	#
	#
	# ## Usage
	#

	---
	BasedOnStyle: LLVM
	Language: Cpp
	IndentWidth: 8
	UseTab: Always
	BreakBeforeBraces: Linux
	AlwaysBreakBeforeMultilineStrings: true
	AllowShortIfStatementsOnASingleLine: false
	AllowShortLoopsOnASingleLine: false
	AllowShortFunctionsOnASingleLine: false

	{
	"singleQuote": true,
	"bracketSpacing": false,
	"arrowParens": "always",
	"trailingComma": "es5"
	}

	{
	"extends": "google",
	"rules": {
	"semi": "error",
	"linebreak-style": "off",
	"no-unused-vars": ["error", {"varsIgnorePattern": "should"}],
	"no-undef": "error",
	"no-var": "error",
	"prefer-arrow-callback": "error"
	},

	mime {
	.atom application/atom+xml
	.json application/json
	.map application/json
	.topojson application/json
	.jsonld application/ld+json
	.rss application/rss+xml
	.geojson application/vnd.geo+json
	.rdf application/xml
	.xml application/xml

	#!/usr/bin/python

	import wave
	import numpy
	import struct
	import sys
	import csv
	from scikits.samplerate import resample

	def write_wav(data, filename, framerate, amplitude):