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Lost on Campus by StudentVIP

Lost on Campus by StudentVIP

Student Services Australia

Navigation免费v5.1.4
App Store
评分

5.0

3 条评分

星级

★★★★★

最近更新

2026年3月29日

发布日期

2012年1月24日

更新内容

v5.1.4

Improved performance when viewing places with lots of photos.

应用信息

开发者
Student Services Australia
分类
Navigation
价格
免费
版本
5.1.4
App ID
488598630

简介

Free. 57 Australian uni and TAFE campus maps. 40,000 campus locations mapped. 52,000 photos. And 150,000+ very happy users! Find every tutorial room, lab, lecture theatre, coffee shop, carpark, bus stop, sports field, toilet, even your nearest vending machine and free microwaves. Plus campus "secret locations". The app tells you how far each location is from you and how much time it will take to walk. A COMPASS even points you in the right direction! And it's part of StudentVIP, so it's 100% free. 57 campuses from the following universities and TAFEs are supported: QUEENSLAND - University of Queensland - Griffith University - QUT NEW SOUTH WALES & AUSTRALIAN CAPITAL TERRITORY - Sydney University - Sydney Tafe - UNSW - Macquarie University - UTS - UWS - University of Newcastle - University of New England - University of Wollongong - ANU - University of Canberra VICTORIA - Monash University - RMIT - Swinburne University - Deakin University - La Trobe University - University of Melbourne SOUTH AUSTRALIA & WESTERN AUSTRALIA - University of Adelaide - University of South Australia - Flinders University - University of Western Australia - Edith Cowan University - Curtin University - Murdoch University Don't ever get lost on campus again. Get Lost On Campus! Over 300 uni students were involved in building the app. Sadly, all have now been diagnosed with Campuscartophilia. Yes - they all love campus maps! Awards > "Best Campus Map" as voted by AAPOC, The Australian Association of Pandas On Campus. > APC Magazine "June 2012 Best Apps" (okay, this is a real award!) Legal - App may contain Pandas. - No Pandas were harmed in the making of this App.

下载量预测

专业 · 预览

预估总下载量

222150429
保守估计乐观估计

1

低 / 月

1

预估 / 月

2

高 / 月

基于3 条评分
假设评分率1.4%
应用年龄174 个月

基于评分数量 ÷ 类别评分率估算,实际下载量误差可达 ±50%,与 Sensor Tower 方法一致。