Kuliah Umum: Big Data, Modeling, Simulation, Computational Platform and Holistic approaches for the Fourth Industrial Revolution

Universitas Negeri Semarang/Faculty of Mathematics and Natural Sciences/Berita/Kuliah Umum: Big Data, Modeling, Simulation, Computational Platform and Holistic approaches for the Fourth Industrial Revolution

KuliahUmum
Jurusan Matematika dan Jurusan Ilmu Komputer FMIPA UNNES kembali menyelenggarakan kuliah umum pada Selasa (14/11/17), bertempat di gedung D12 FMIPA UNNES. Pada kesempatan ini, Jurusan Matematika dan Jurusan Ilmu Komputer mengundang Jabatan Matematik dari Fakulti Sains, Universiti Teknologi Malaysia (UTM) Assoc. Prof. Dr. Norma Binti Alias. Mengusung tema “Big Data, Modeling, Simulation, Computational Platform and Holistic approaches for the Fourth Industrial Revolution”. Kuliah umum ini turut dihadiri dosen-dosen Jurusan Matematika dan Jurusan Ilmu Komputer.
Kuliah umum ini dibuka dengan sambutan dari Ketua Jurusan Matematika, Drs Arief Agoestanto M.Si. Dalam kesempatan tersebut, Assoc. Prof. Dr. Norma Binti Alias memaparkan bahwa industri saat ini telah memasuki Revolusi industri keempat (the fourth industrial revolution) yang merupakan era digital ketika semua mesin terhubung melalui jaringan internet.
Revolusi industri keempat ini didasarkan pada 3 argumen: kecepatan, ruang lingkup dan dampak terhadap sistem. Memungkinan jutaan orang terhubung melalui koneksi seluler, menggunakan operasi sistem, kapasitas memori serta akses pengetahuan yang tidak terbatas. Kemungkinan-kemungkinan tersebut akan diiringi dengan kecanggihan teknologi yang terus meningkat, khususnya; kecerdasan buatan (AI/Artificial Intelligence), teknologi robot, internet, kendaraan tanpa awak, teknologi nano, bioteknologi, sains material, dan komputer kuantum.
Pemanfaatan kecerdasan buatan yang semakin masif di sekeliling kita ditopang oleh peningkatan kemampuan komputer dan ketersediaan data yang tak terbatas, dari software yang bisa digunakan untuk menciptakan obat terbaru hingga algoritma yang memperhitungkan minat konsumsi berdasarkan budaya asal. Peningkatan kemampuan komputer ini dilakukan dengan memanfaatkan paralel komputer. Model ini mampu mengkoordinasikan banyak CPU untuk bekerja secara serempak, sehingga memungkinkan pemrosesan big data dan simulasi berjalan lebih cepat dan akurat.
Kuliah umum ini diakhiri dengan pertukaran cideramata oleh Ketua Jurusan Ilmu Komputer, Endang Sugiharti, S.Si., M.Kom dengan Assoc. Prof. Dr. Norma Binti Alias, dan sesi foto bersama dengan dosen Jurusan Matematika dan Jurusan Ilmu Komputer.

Related Posts

Leave a Reply

* Kode Akses Komentar:

* Tuliskan kode akses komentar diatas:

We are using cookies to give you the best experience. You can find out more about which cookies we are using or switch them off in privacy settings.
AcceptPrivacy Settings

GDPR

  • Privacy Policy

Privacy Policy

At unnes.ac.id, the privacy of our visitors is of extreme importance to us. This privacy policy document outlines the types of personal information that is received and collected by unnes.ac.id and how it is used.

Log Files

Like many other Web sites, unnes.ac.id makes use of log files. The information inside the log files includes internet protocol (IP) addresses, type of browser, Internet Service Provider (ISP), date/time stamp, referring/exit pages, and number of clicks to analyze trends, administer the site, track user’s movement around the site, and gather demographic information. IP addresses and other such information are not linked to any information that is personally identifiable.

Cookies

unnes.ac.id uses cookies to store information about visitors’ preferences, to record user-specific information on which pages the site visitor accesses or visits, and to personalize or customize our web page content based upon visitors’ browser type or other information that the visitor sends via their browser.

Third-party ad servers or ad networks use technology in their respective advertisements and links that appear on unnes.ac.id and which are sent directly to your browser. They automatically receive your IP address when this occurs. Other technologies (such as cookies, JavaScript, or Web Beacons) may also be used by our site’s third-party ad networks to measure the effectiveness of their advertising campaigns and/or to personalize the advertising content that you see on the site.

unnes.ac.id has no access to or control over these cookies that are used by third-party advertisers.

You should consult the respective privacy policies of these third-party ad servers for more detailed information on their practices as well as for instructions about how to opt-out of certain practices. unnes.ac.id’s privacy policy does not apply to, and we cannot control the activities of, such other advertisers or web sites.

If you wish to disable cookies, you may do so through your individual browser options. More detailed information about cookie management with specific web browsers can be found at the browsers’ respective websites.

Consent

By using our website, you hereby consent to our privacy policy and agree to its terms.

Update

This Privacy Policy was last updated on: 2023-02-14. Should we update, amend or make any changes to our privacy policy, those changes will be posted here.

Contact Us

If you have any questions, comments, or concerns about our Privacy Policy or our practices with regards to your personal information, please feel free to contact us through the contact form on our website or by emailing us at humas[at]mail.unnes.ac.id.

This Privacy Policy is intended as a general guide to our practices in collecting and using information. If there is any inconsistency between this Privacy Policy and the terms of the Service Agreement or any other terms that may apply to specific services you use, then those specific service terms shall apply.

Terms of Use

By using our website, you agree to abide by this Privacy Policy. If you do not agree with this Privacy Policy, please do not use our website. We reserve the right to update this Privacy Policy from time to time without prior notice. Please review our Privacy Policy periodically to check for changes. Your continued use of our website following the posting of changes to this Privacy Policy means that you accept the changes.

Thank you for reading our Privacy Policy. We are committed to protecting the privacy of our website visitors and will continue to update our Privacy Policy to ensure optimal protection.