Partnership Archives - 第6页共11页

RU Medini Campus Launching

2023, 会计学, 成就, 建筑环境与再生设计系, 工商管理, 计算机科学(数据科学), CPD, 数码游戏艺术, 英语语文课程, Event - 2023, 活动, 服装设计, 商科预科, 平面设计, 人力资源管理, 信息系统(人工智能), 信息技术, 室内设计, Liberal Arts, 多媒体设计, 新闻, 合作, RAFULOC, RUBC, RUCE, RUFD, RUIAB, RUIC, RUID, RUPA, SDG - 2023, SRC, Student Club, 供应链管理 / lynngoh

Raffles University is launching the RU Medini Campus on 14 January 2023. Everyone is welcome!

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See The Light Awareness Day

2022, 英语语文课程, Event - 2022, 活动, 预科课程, 商科预科, Liberal Arts, 新闻, 合作, RUCE, USR / lynngoh

Raffles University Student Representative Council (RUSRC) organised a See The Light Awareness Day to expose RU students to blind community

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GloWD Design Studio 2022

2022, 成就, 建筑环境与再生设计系, Event - 2022, 活动, 室内设计, 新闻, 合作 / lynngoh

The GloWD 2022 GEL-Lab Design Studio is an international program that structured with participants from different design institutions and design programs.

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Dato Wira Calvin Khiu as Industry Advisory Board

2022, 通告, CPD, Event - 2022, 新闻, 合作, RUIAB / lynngoh

Raffles University is pleased to announce that Datuk Wira Dato’ (Dr.) Calvin Khiu from OE EduTech is appointed as a member of the Raffles University Industry Advisory Board.

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MOU Signing with Nanyang Learning Hub

2022, 通告, CPD, Event - 2022, 新闻, 合作 / lynngoh

Raffles University signed an MOU with Nanyang Learning Hub for further collaboration in TVET and RCEP project.

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FieldTrip to Isotank Container Services

2022, Event - 2022, Fieldtrip, 新闻, 合作, RAFULOC, Student Club, 供应链管理 / lynngoh

Raffles University Logistics Club organised an fieldtrip to Isotank Container Services Sdn Bhd

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Community Service: Johor Bahru Chinese Heritage Museum

2022, Event - 2022, 活动, 平面设计, 多媒体设计, 新闻, 合作, SDG - 2022, USR / lynngoh

Raffles Designers assisted in designing posters and banners for the weekly street events at Jalan Tan Hiok Nee as community service project

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Selangor Aviation Show

2022, 人工智能与机械系院, 计算机科学(数据科学), Event - 2022, 信息系统(人工智能), 信息技术, 新闻, 合作 / lynngoh

Raffles University AI & Robotic Faculty went to Selangor Aviation Show for Presentation of Deep Learning for the Brain-Machine Interaction by Associate Professor Dr Sasa ARSOVSKI present

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