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X-WR-CALDESC:Events for STEI
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DTSTART:20200101T000000
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20210712
DTEND;VALUE=DATE:20210713
DTSTAMP:20260424T215648
CREATED:20210602T045349Z
LAST-MODIFIED:20210623T091110Z
UID:12374-1626048000-1626134399@stei.itb.ac.id
SUMMARY:International Virtual Courses: Renewable energy in power system: design\, planning\, and impacts
DESCRIPTION:International Virtual Courses\nRenewable energy in power system: design\, planning\, and impacts\nSchool of Electrical Engineering and Informatics & Universidad Tecnológica de Pereira\, Colombia \n\n\n\nDescription \nRenewable energy is a sustainable future for electrical energy generation. Utilization of renewable energy to produce more sustainable electrical energy requires knowledge of the aspects of the constituent elements\, planning\, and mitigating the impact on the existing electric power system. This International Virtual Course will provide student participants with insights into aspects related to the design\, planning and utilization of renewable energy from an electrical side. \n\n\n\n\n\n\nTimeline \n\n Registration: June 1st – July 2nd\, 2021\n Selection:  July 3rd-5th\, 2021\n Announcement:  July 6th\, 2021\n International Virtual Course  July 12nd– 30th\, 2021\n\n\n\n\n\n\n\nParticipants\nActive university student from overseas or local (MBKM Sasrabahu program participants are welcome) \nReward\n1. Certificate\n2. Course transcript (equivalent to 2 credit units) \nRequirements\n– Bachelor/master student\, proven with a student card and official letter from university\n– Motivation letter (one page) \n\n\n\n\n\n\nContact information\nCP: Kevin M. Banjarnahor\, Ph.D  (kevin@staff.stei.itb.ac.id)\nWebsite: s.id/IVCrenewables\nRegistration : bit.ly/IVC_Renewables
URL:https://stei.itb.ac.id/event/international-virtual-courses-renewable-energy-in-power-system-design-planning-and-impacts/
CATEGORIES:Acara Institusi
ATTACH;FMTTYPE=image/png:https://stei.itb.ac.id/wp-content/uploads/Artboard-1-100.jpg.png
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BEGIN:VEVENT
DTSTART;TZID=Asia/Jakarta:20210528T100000
DTEND;TZID=Asia/Jakarta:20210528T110000
DTSTAMP:20260424T215648
CREATED:20210524T022959Z
LAST-MODIFIED:20210524T023450Z
UID:12144-1622196000-1622199600@stei.itb.ac.id
SUMMARY:Cyber Threat Intelligence Briefing 2021
DESCRIPTION:Tahun 2020 memecahkan rekor di sisi data yang hilang karena pelanggaran\, dan banyaknya serangan dunia maya terhadap perusahaan\, pemerintah\, dan individu. Selain itu\, kecanggihan ancaman pun meningkat dari penerapan teknologi seperti pembelajaran mesin\, kecerdasan buatan\, serta khususnya dari kerjasama di balik layar yang lebih kuat dari grup hacker serta pemain negara. Serangan Solar Winds attack menyoroti baik ancaman dan kecanggihan realitas tersebut. \nMemasuki tahun 2021\, statistik tersebut dan potensi implikasi keamanan siber dalam lanskap digital kita perlu ditelusuri. Webinar ini menghadirkan Shahnawaz Backer\, penasihat keamanan utama dari F5 Labs. Pada edisi ini\, webinar akan difokuskan pada: \nLanskap dan indikator ancaman untuk Indonesia (Jan hingga Maret). \n• Laporan singkat ancaman ASEAN di Dark Web dan domain organisasi tertentu.\n• Studi kasus tentang Penipuan Kolusi\, taktik yang digunakan untuk melawan bisnis platform.\n• Analisis pelanggaran API\n• Memerangi Penipuan Digital dengan Konvergensi Keamanan. \nRegistrasi dibuka di Http://s.id/CTIBREG
URL:https://stei.itb.ac.id/event/cyber-threat-intelligence-briefing-2021/
CATEGORIES:Acara Institusi,Acara Mitra
ATTACH;FMTTYPE=image/png:https://stei.itb.ac.id/wp-content/uploads/Web-Info-Webinar-CTIB.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Jakarta:20210426T110000
DTEND;TZID=Asia/Jakarta:20210426T130000
DTSTAMP:20260424T215648
CREATED:20210406T065926Z
LAST-MODIFIED:20210407T025559Z
UID:11373-1619434800-1619442000@stei.itb.ac.id
SUMMARY:Distinguished Lecture: Data Mining and Machine Learning for Analysis of Network Traffic
DESCRIPTION:Distinguished Lecture:\nData Mining and Machine Learning for Analysis of Network Traffic\nCollection and analysis of data from deployed networks is essential for understanding modern communication networks. Data mining and statistical analysis of network data are often employed to determine traffic loads\, analyze patterns of users’ behavior\, and predict future network traffic while various machine learning techniques proved valuable for predicting anomalous traffic behavior. In described case studies\, traffic traces collected from various deployed networks and the Internet are used to characterize and model network traffic\, analyze Internet topologies\, and classify network anomalies. \nAbout Ljiljana Trajkovic \nSimon Fraser University\, Canada  \nLjiljana Trajkovic received the Dipl. Ing. degree from University of Pristina\, Yugoslavia\, in 1974\, M.Sc. degrees in electrical engineering and computer engineering from Syracuse University\, Syracuse\, NY\, in 1979 and 1981\, respectively\, and a Ph.D. degree in electrical engineering from University of California at Los Angeles\, in 1986.   \nShe is currently a Professor in the School of Engineering Science at Simon Fraser University\, Burnaby\, British Columbia\, Canada. From 1995 to 1997\, she was a National Science Foundation (NSF) Visiting Professor in the Electrical Engineering and Computer Sciences Department\, University of California\, Berkeley. She was a Research Scientist at Bell Communications Research\, Morristown\, NJ\, from 1990 to 1997\, and a Member of the Technical Staff at AT&T Bell Laboratories\, Murray Hill\, NJ\, from 1988 to 1990. Her research interests include high-performance communication networks\, control of communication systems\, computer-aided circuit analysis and design\, and theory of nonlinear circuits and dynamical systems.   \nDr. Trajkovic served as IEEE Division X Delegate/Director (2019 2020) and IEEE Division X Delegate-Elect/Director-Elect (2018). She served as Senior Past President (20182019)\, Junior Past President (2016 2017)\, President (2014 2015)\, President-Elect (2013)\, Vice President Publications (2012 2013\, 2010 2011)\, Vice President Long-Range Planning and Finance (20082009)\, and a Member at Large of the Board of Governors (2004 2006) of the IEEE Systems\, Man\, and Cybernetics Society.  \nShe served as 2007 President of the IEEE Circuits and Systems Society and a member of its Board of Governors (2004-2005\, 2001-2003).  \nShe is Chair of the IEEE Circuits and Systems Society joint Chapter of the Vancouver/Victoria Sections. She was Chair of the IEEE Technical Committee on Nonlinear Circuits and Systems (1998). She was General Co-Chair of SMC 2020 and SMC 2020 Workshop on BMI Systems and served as General Co-Chair of SMC 2019 and SMC 2018 Workshops on BMI Systems\, SMC 2016\, and HPSR 2014\, Special Sessions Co-Chair of SMC 2017\, Technical Program Chair of SMC 2017 and SMC 2016 Workshops on BMI Systems\, Technical Program Co-Chair of ISCAS 2005\, and Technical Program Chair and Vice General Co-Chair of ISCAS 2004.  \nShe served as an Associate Editor of the IEEE Transactions on Circuits and Systems (Part I) (2004 2005\, 19931995)\, the IEEE Transactions on Circuits and Systems (Part II) (2018\, 2002 2003\, 19992001)\, and the IEEE Circuits and Systems Magazine (2001 2003). She is a Distinguished Lecturer of the IEEE Systems\, Man\, and Cybernetics Society (2020 2021) and the IEEE Circuits and Systems Society (2020 2021\, 2010 2011\, 2002 2003).  \nShe is a Professional Member of IEEE-HKN and a Life Fellow of the IEEE.   \nVIEW CV – REGISTER HERE
URL:https://stei.itb.ac.id/event/distinguished-lecture-data-mining-and-machine-learning-for-analysis-of-network-traffic/
CATEGORIES:Acara Institusi
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20210115
DTEND;VALUE=DATE:20210118
DTSTAMP:20260424T215648
CREATED:20210117T213534Z
LAST-MODIFIED:20210221T043053Z
UID:10260-1610668800-1610927999@stei.itb.ac.id
SUMMARY:Open House ITB 2021
DESCRIPTION:Direktorat Pendidikan ITB menyelenggarakan Open House Virtual ITB secara daring (online)\, yang akan berlangsung sesuai jadwal berikut : \nHari\, Tanggal   : Jumat – Minggu\, 15 – 17 Januari 2021\nWaktu             : 13.30 – 16.30 WIB (Jumat) dan 08.00 – 16.00 WIB (Sabtu dan Minggu)\nTempat           : https://virtualopenhouse.itb.ac.id/ (dapat diakses mulai Jumat\, 15 Januari 2021\, pukul 13.30 WIB) \nKegiatan ini terbuka untuk umum dan tidak dipungut biaya.  \nOpen House Virtual ITB tersebut akan menyajikan pameran virtual dan webminar mengenai Sistem Penerimaan Mahasiswa Baru ITB tahun 2021\, Informasi mengenai program studi-program studi di masing-masing fakultas/sekolah di ITB\, serta informasi mengenai beasiswa dan kegiatan kemahasiswaan ITB. Open House Virtual ITB terbuka untuk umum dan tidak dipungut biaya. \nInformasi lebih lanjut terkait pelaksanaan Open House Virtual ITB dapat diperoleh di alamat https://www.instagram.com/usm.itb/.
URL:https://stei.itb.ac.id/event/open-house-itb-2021/
CATEGORIES:Acara Institusi
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20210114T133000
DTEND;TZID=UTC:20210114T153000
DTSTAMP:20260424T215648
CREATED:20210117T220251Z
LAST-MODIFIED:20210221T043137Z
UID:10262-1610631000-1610638200@stei.itb.ac.id
SUMMARY:Pengarahan Mahasiswa Baru Pascasarjana
DESCRIPTION:Pengarahan Mahasiswa Baru Pascasarjana STEI\nSemester 2 Tahun Ajaran 2020/2021 \nakan diadakan secara daring\, pada hari Kamis\, 14 Januari 2021 (13:30 WIB-15:30 WIB).\nlink untuk zoom meeting dapat dicek di SPS atau TU Program Studi. \nAcara ini juga dapat disaksikan secara live melalui kanal YouTube STEI ITB.
URL:https://stei.itb.ac.id/event/pengarahan-mahasiswa-baru-pascasarjana/
CATEGORIES:Acara Institusi
ATTACH;FMTTYPE=image/jpeg:https://stei.itb.ac.id/wp-content/uploads/Pengenalan-Mahasiswa-Baru-Pasca.jpg
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