{"id":4441,"date":"2019-09-16T08:13:31","date_gmt":"2019-09-16T05:13:31","guid":{"rendered":"https:\/\/www.kaunokolegija.lt\/tf\/?p=4441"},"modified":"2019-09-16T08:59:43","modified_gmt":"2019-09-16T05:59:43","slug":"kvieciame-dalyvauti-kompiuteriu-inzinerijos-eksperto-is-jav-paskaitose","status":"publish","type":"post","link":"https:\/\/archyvas.kaunokolegija.lt\/tf\/kvieciame-dalyvauti-kompiuteriu-inzinerijos-eksperto-is-jav-paskaitose\/","title":{"rendered":"Kvie\u010diame dalyvauti kompiuteri\u0173 in\u017einerijos eksperto i\u0161 JAV paskaitose"},"content":{"rendered":"

\u0160i\u0173 met\u0173 rugs\u0117jo 16\u2013 20 dienomis Kauno kolegijos\u00a0 Technologij\u0173 fakultete lankysis kviestinis d\u0117stytojas i\u0161 Jungtini\u0173 Amerikos Valstij\u0173, kompiuteri\u0173 in\u017einerijos ekspertas, duomen\u0173 (angl. data science<\/em>) mokslininkas, mokslo daktaras Georgios Ouzounis.<\/p>\n

\"\"<\/a>Dr. Georgios Ouzounis per beveik 20 karjeros met\u0173 yra sukaup\u0119s didel\u0119 darbo ir mokslin\u0117s veiklos patirt\u012f, dirbdamas \u012fvairiose mokslo, tyrim\u0173 ir verslo institucijose skirtingose \u0161alyse. Jis yra 10 patent\u0173 autorius, jo moksliniai straipsniai yra publikuoti pasaulinio lygio mokslo \u017eurnaluose, o moksliniai atradimai yra cituojami kit\u0173 tyr\u0117j\u0173 darbuose. G. Ouzounis taip pat yra Elektros ir elektronikos in\u017einieri\u0173 instituto \/ profesional\u0173 asociacijos (angl. Institute of Electrical and Electronics Engineers<\/em><\/a>, IEEE) bendruomen\u0117s vyresnysis narys ir 5 tarptautini\u0173 mokslo \u017eurnal\u0173 recenzentas. Mokslininkas yra \u012fgij\u0119s pedagoginio darbo patirties skaitydamas paskaitas Pranc\u016bzijoje, Islandijoje, Nyderlanduose ir kitose \u0161alyse. Pasi\u017eymi puikia i\u0161kalba ir geb\u0117jimu perteikti informacij\u0105 skirtingo am\u017eiaus ir kult\u016br\u0173 tikslin\u0117ms grup\u0117ms. Savo karjer\u0105 prad\u0117j\u0119s universitete, dirb\u0119s Europos Komisijoje, o nuo 2012 met\u0173 \u012fsitvirtin\u0119s verslo sektoriuje atstovauja pasaulyje lyderiaujan\u010dioms IT \u012fmon\u0117ms. \u0160iuo metu G. Ouzounis yra \u012fmon\u0117s \u201eElectrifAi\u201c <\/a>viceprezidentas, dirba duomen\u0173 mokslo srityje.<\/p>\n

\u0160is mokslininkas sukauptomis \u017einiomis, patirtimi ir ateities technologij\u0173 \u012f\u017evalgomis pasidalins su kolegijoje automatin\u012f valdym\u0105, kompiuterini\u0173 tinkl\u0173 administravim\u0105, infotronik\u0105, program\u0173 sistemas bei informacines finans\u0173 sistemas studijuojan\u010diaisiais. G. Ouzounis studentams ves teorinius ir praktinius u\u017esi\u0117mimus giliojo mokymosi (angl. deep learning<\/em>) tema. Gilusis mokymasis \u2013 tai pakankamai nauja automatinio mokymosi (angl. machine learning<\/em>) sritis.<\/p>\n

Intensyvaus kurso metu perteiktos \u017einios bus integruojamos \u012f programavimo technologij\u0173 studij\u0173 dalykus ir pad\u0117s formuoti student\u0173 suvokim\u0105 apie programuojam\u0173j\u0173 valdymo sistem\u0173 funkcionavimo principus bei naujausi\u0173 informacini\u0173 ir komunikacini\u0173 sistem\u0173 taikymo \u012fvairiems procesams valdyti galimybes.<\/p>\n

Kvie\u010diame aktyviai dalyvauti paskaitose:<\/strong><\/div>\n
<\/div>\n
\n\n\n\n\n\n\n\n\n
Data<\/strong><\/td>\nPaskaitos laikas<\/strong><\/td>\nTurinys<\/strong><\/td>\nAuditorija<\/strong><\/td>\n<\/tr>\n
Rugs\u0117jo 16 d.<\/td>\n12.40\u201316.10<\/td>\n1. Course Introduction
\n2. Computational Infrastructures & Resources
\n3. Tutorial Session 1 – Github I\/O
\n4. Tutorial Session 2 – NumPy, Pandas, MatPlotLib<\/td>\n		1-61 a. (Pramon\u0117s pr. 20)<\/td>\n<\/tr>\n
Rugs\u0117jo 17 d .<\/td>\n9.00\u201312.30<\/td>\n1. Features
\n2. Tutorial on Feature Selection
\n3. Cross Validation
\n4. Model Evaluation<\/td>\n		1-61 a. (Pramon\u0117s pr. 20)<\/td>\n<\/tr>\n
Rugs\u0117jo 18 d.<\/td>\n11.45\u201315.15<\/td>\n1. Artificial Neural Networks – Theory part 1
\n2. Artificial Neural Networks – Theory part 2
\n3. Artificial Neural Networks – Build, Test and Deploy
\n4. Artificial Neural Networks – Model Evaluation, Tuning and Improvement<\/td>\n		1-61 a. (Pramon\u0117s pr. 20)<\/td>\n<\/tr>\n
Rugs\u0117jo 19 d.<\/td>\n9.00\u201312.30<\/td>\n1. Convolutional Neural Networks – Theory Part 1
\n2. Convolutional Neural Networks – Theory part 2
\n3. Convolutional Neural Networks – Build, Test and Deploy
\n4. Convolutional Neural Networks – Practical Exercise – Improve performance<\/td>\n		1-61 a. (Pramon\u0117s pr. 20)<\/td>\n<\/tr>\n
Rugs\u0117jo 20 d.<\/td>\n9.00\u201312.30<\/td>\n1. Recurrent Neural Networks – Theory part 1
\n2. Recurrent Neural Networks – Theory part 2
\n3. Recurrent Neural Networks – Build, Test and Deploy
\n4. Recurrent Neural Networks – Model Evaluation, Tuning and Improvement<\/td>\n		1-61 a. (Pramon\u0117s pr. 20)<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

\u0160i\u0173 met\u0173 rugs\u0117jo 16\u2013 20 dienomis Kauno kolegijos\u00a0 Technologij\u0173 fakultete lankysis kviestinis d\u0117stytojas i\u0161 Jungtini\u0173 Amerikos Valstij\u0173, kompiuteri\u0173 in\u017einerijos ekspertas, duomen\u0173 (angl. data science) mokslininkas, mokslo daktaras Georgios Ouzounis. Dr. Georgios Ouzounis per beveik 20 karjeros met\u0173 yra sukaup\u0119s didel\u0119 darbo ir mokslin\u0117s veiklos patirt\u012f, dirbdamas \u012fvairiose mokslo, tyrim\u0173 ir verslo institucijose skirtingose \u0161alyse. Jis […]<\/p>\n","protected":false},"author":11,"featured_media":4443,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-4441","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-naujienos"],"_links":{"self":[{"href":"https:\/\/archyvas.kaunokolegija.lt\/tf\/wp-json\/wp\/v2\/posts\/4441","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/archyvas.kaunokolegija.lt\/tf\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/archyvas.kaunokolegija.lt\/tf\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/archyvas.kaunokolegija.lt\/tf\/wp-json\/wp\/v2\/users\/11"}],"replies":[{"embeddable":true,"href":"https:\/\/archyvas.kaunokolegija.lt\/tf\/wp-json\/wp\/v2\/comments?post=4441"}],"version-history":[{"count":9,"href":"https:\/\/archyvas.kaunokolegija.lt\/tf\/wp-json\/wp\/v2\/posts\/4441\/revisions"}],"predecessor-version":[{"id":4455,"href":"https:\/\/archyvas.kaunokolegija.lt\/tf\/wp-json\/wp\/v2\/posts\/4441\/revisions\/4455"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/archyvas.kaunokolegija.lt\/tf\/wp-json\/wp\/v2\/media\/4443"}],"wp:attachment":[{"href":"https:\/\/archyvas.kaunokolegija.lt\/tf\/wp-json\/wp\/v2\/media?parent=4441"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/archyvas.kaunokolegija.lt\/tf\/wp-json\/wp\/v2\/categories?post=4441"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/archyvas.kaunokolegija.lt\/tf\/wp-json\/wp\/v2\/tags?post=4441"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}