https://www.tuj.ac.jp/about/japan-campus/social-media
A bilingual information exchange forum for prospective students is on TUJ Facebook, TUJ News Tweets, TUJ Guide, public lectures, UG course clips on the TUJ YouTube Channel, and many more.
https://www.fox.temple.edu/faculty-research/academic-areas/management-information-systems/faculty
Overview As internationally and nationally recognized experts in their fields of study, MIS faculty connect teaching and research, industry and academia, real-world experience, and theoretical constructs. The research is applied, reflects our integrative focus, and is published in premier outlets such as Management Information Systems Quarterly and Information Systems Research.
https://tuportal5.temple.edu/
Id Name Url Category TUportal My Schools & Colleges Information Technology Services TUportal6 RedirectToGroupHome_ Hidden
https://www.templehealth.org/doctors/jay-simhan
If playback doesn't begin shortly, try restarting your device. Videos you watch may be added to the TV's watch history and influence TV recommendations. To avoid this, cancel and sign in to YouTube on your computer. An error occurred while retrieving sharing information. Please try again later.
https://community.mis.temple.edu/
Feb 10 – Rajiv Garg – “The Price of Losing Trust: An Empirical Analysis of Social Misconduct by YouTube Creators” Jan 27 – David Lanter – Enabling Data Protection by Design with Data Provenance Metadata”
https://www.tuj.ac.jp/jp/cont-ed/about/instructors
講師について TUJ生涯教育プログラムにとって講師はいわばバックボーンです。彼らは各業界の専門家であり、経験豊富な教育者です。当プログラムの講師陣は、修士号や博士号などの学位や専門的な資格を保有し、それぞれの分野で名声を得ています。そうした専門知識に加えて、国内外での ...
https://news.temple.edu/news/2021-11-09/study-shows-verified-users-are-among-biggest-culprits-when-it-comes-sharing-fake
Recent research from Min-Seok Pang of the Department of Management Information Systems outlines how verified users are among biggest culprits when it comes to sharing fake news across social media platforms.
https://guides.temple.edu/qda/dedoose
Video tutorials on different features of Dedoose. See also Dedoose YouTube channel and their live and recorded Webinars.
https://guides.temple.edu/qda/choosing
Requal is a qualitative data analysis tool designed with simplicity and reproducibility in mind. It's built upon the foundations of R and Shiny. Free and open source (desktop or web). Youtube tutorials
https://cis.temple.edu/~jiewu/research/publications/Publication_files/Distributed_Deep_Multi-Agent_Reinforcement_Learning_for_Cooperative_Edge_Caching_in_Internet-of-Vehicles.pdf
2 Power of background noise -95 Bm Size of requested contents [0.5, 1.5] MB 2.4GHz Intel Xeon E5-2650 processor and 256GB RAM. The main parameters are listed in Table II. For performance comparison, the following four bench-mark caching methods are introduced: