«"he hoʻokūkū no nā bachelors a me nā haku o nā ʻano kanaka a me nā loea loea. Ua hoʻonohonoho ʻia e nā hui ITMO nui a me nā kula ikaika loa o ka ʻāina, me ke Kulanui ITMO. I kēia lā ke kamaʻilio nei mākou e pili ana i nā pahuhopu o ka Olympiad a me nā wahi ʻelua a kā mākou kulanui e mālama ai - "Big Data" a me "Robotics" (e pili ana i ke koena - i kā mākou habratopics e hiki mai ana).
Kiʻi kiʻi: /unsplash.com
He mau hua'ōlelo e pili ana i ka 'Olumepika
ʻO ke kumu. E loiloi i ka ʻike o nā haumāna a hoʻolauna iā lākou i nā koi o nā mea hana. Hoʻomohala nā haumāna i kā lākou kahua ʻepekema koho, e hana ana i nā hui honua. Hoʻomaikaʻi pū ka mea hana - ʻaʻole pono ʻo ia e hoʻopaʻa inoa hou i nā loea i hoʻomaʻamaʻa ʻia a aloha i nā limahana hou i hoʻolimalima ʻia me ka huaʻōlelo: "E poina i nā mea a pau āu i aʻo ʻia ai ma ke kulanui."
No ke aha e komo ai? Nā Lanakila komo i na kula nui o Rusia me ka hookolokolo ole. Hiki iā ʻoe ke loaʻa kahi internship ma Yandex, Sberbank, IBS, Mail.ru a me nā hui nui ʻē aʻe. ʻO ka makahiki i hala aku nei, nā hāʻawi mai nā hui Lūkini ʻoi aku ma mua o ʻehā haneli maikaʻi loa. Eia kekahi, hiki i nā haumāna i hōʻoia iā lākou iho ke kipa .
ʻO wai ke komo nei? Nā haumāna o nā mea kūikawā a pau - ʻenehana, kanaka a me nā ʻepekema kūlohelohe. Ma waho aʻe o nā haumāna puka, nā haumāna puka, nā kamaʻāina a me nā haumāna o nā kula ʻē aʻe.
Hōʻano hanana. Hiki iā ʻoe ke hoʻopaʻa inoa a hiki i Nowemapa 18th. E mālama ʻia ka pae hoʻonaʻauao pūnaewele mai Nowemapa 22 a hiki i Dekemaba 8, akā hiki iā ʻoe ke hoʻokuʻu iā ia inā hoʻokō ʻoe i ʻelua ma lalo o ʻelua. . E holomua ka poʻe lanakila o ka pōʻai hoʻokūkū i nā hoʻokūkū intramural ma nā kula nui o ka ʻāina, i hoʻonohonoho ʻia no Ianuali - Malaki. E paʻi ʻia nā hopena o ka Olympiad "I am a Professional" i ʻApelila .
I kēia makahiki he 68 mau wahi o ka Olympiad. Mālama nā loea ITMO University i ʻelima o lākou: "Photonics", "Information and Cyber Security", "Programming and Information Technologies", a me "Big Data" a me "Robotics". E haʻi hou aku mākou iā ʻoe e pili ana i nā mea hope ʻelua.
ʻIkepili Nui
Hoʻopili kēia wahi i nā ʻenehana āpau o ka pōʻai ola ʻIke Nui, me kā lākou hōʻiliʻili ʻana, mālama ʻana, hana ʻana, hoʻohālike a me ka wehewehe ʻana. Hiki i nā mea lanakila ke komo i ka papahana haku ma ITMO University me ka ʻole o nā hoʻokolohua no nā papahana: "Applied Mathematics and Informatics", "Digital Health", "Big Data Financial Technologies" a me .
E loaʻa nō hoʻi i ka poʻe i komo ka manawa e komo ai i kahi internship i nā loea o ka ʻepekema data a me ka ʻenekini data ma nā hui hoa. ʻO kēia ka National Center for Cognitive Research, Mail.ru, Gazpromneft STC, Rosneft, Sberbank a me ER-Telecom.
"I nā makahiki i hala iho nei, ua ulu nui ke kahua o Big Data. Ke ulu nei nā ʻenehana no ka hōʻiliʻili a me ka mālama ʻana i ka ʻikepili mua, ke kū mai nei nā mīkini kikohoʻe hou (ma ke kahua o IoT a me nā ʻoihana pūnaewele) no ka hoʻopaʻa ʻana i nā kaʻina hana i ʻike ʻole ʻia ma mua, "wahi a Alexander Valerievich Bukhanovsky, ka luna. Kulanui ITMO. "I ka manawa like, ʻaʻole i uku wale ʻia ka nānā ʻana i ke ʻano o ka hoʻonohonoho ʻana i ke kaʻina o ka mālama ʻana a me ka hoʻohana ʻana i ka ʻikepili, akā no ka hōʻoia ʻana i nā hopena a me nā hoʻoholo, a me ka hana ʻana i nā hiʻohiʻona wānana."
He aha nā hana? Hoʻomākaukau ka hui iā lākou Kulanui ITMO. Noʻonoʻo lākou i ka ʻoiaʻiʻo e loaʻa i kahi loea Big Data ka ʻike kumu i ka manaʻo probability a me nā helu makemakika, a me ke aʻo ʻana i ka mīkini. Loaʻa i ka ʻike i ka loiloi a me ke ʻano o nā ʻōnaehana naʻauao artificial hou a me ka ʻōlelo R, Java, Scala, Python (a i ʻole nā mea hana ʻē aʻe no ka hoʻoponopono ʻana i nā pilikia kūpono).
Ma lalo mākou e hāʻawi i kahi laʻana o kahi pilikia mai kekahi o nā pae o ka Olympiad.
Laʻana hana: Aia he 50 mau kikowaena i ka hui, me 12 mau cores i loaʻa ma kēlā me kēia. Hāʻawi hou ʻia nā kumuwaiwai ma waena o nā palapala palapala a me nā mea hoʻemi (ʻaʻohe mahele koʻikoʻi o nā kumuwaiwai). E kākau i ka nui o nā minuke e holo ai kahi hana MapReduce e koi ana i nā palapala palapala 1000 ma luna o ia pūʻulu. I kēia hihia, ʻo ka manawa hana o kahi palapala palapala he 20 mau minuke. Inā haʻalele ʻoe i ka mea hoʻemi 1 wale nō i ka hana, a laila e hana ia i nā ʻikepili āpau i 1000 mau minuke. Ua ʻae pololei ʻia ka pane i hoʻokahi wahi decimal.
H. 44.6
B. 43.2
C. 41.6
D. 50.0Haʻina pololeiC
Pehea e hoʻomākaukau ai. Hiki iā ʻoe ke hoʻomaka me kēia mau kumuwaiwai:
- . Hiki ke kōkua no ka hana kūʻokoʻa me nā code kumu no ka hoʻoponopono ʻana i nā pilikia.
- . Hōʻike ka hana kumu i ke kumu e pono ai nā kumu hoʻohālike probabilistic i kūkulu makemakika e like me σ-algebra.
- . He puke maʻalahi a pono hoʻi e wehewehe ana i nā kumu o ka helu probabilistic o nā hanana hanana.
Nui nā puke i loaʻa e pili ana i nā helu helu no nā ʻano hana like ʻole. Ua wehewehe maʻalahi kā lākou mea kākau i ke kumu o ka hoʻoholo ʻana i nā pilikia helu kuhi a me ka wā.
Nānā
Hiki ke loaʻa ka ʻike ma nā papa kumuhana ma ka pūnaewele 'Olumepika.
ʻO Robotics
Hoʻohui ʻo Robotics i nā hoʻopaʻapaʻa e like me algorithms, electronics a me mechanics. Pono kēia kuhikuhi no ka poʻe e aʻo nei a hoʻomākaukau paha e komo i nā papahana master a postgraduate ma ka ʻenekinia lako polokalamu, mechanics noiʻi, ka makemakika a me ka ʻepekema kamepiula a i ʻole ka ʻenekini uila. Hiki i nā haumāna i hōʻoia ʻia ke kākau inoa i nā papahana no ka manuahi "»,«"A""o kā mākou kulanui.
He aha nā hana? Hoʻoponopono nā haumāna kumu a me ka bachelor i nā hana like ʻole. Eia naʻe, hoʻāʻo nā hana āpau i ka ʻike paʻakikī o ka manaʻo mana, ka hoʻoili ʻike a me ka hoʻohālike robot. No ka laʻana, e noi ʻia nā mea komo e nānā i ke kūpaʻa a i ʻole ka mālama ʻana o kahi ʻōnaehana, koho i kahi kūkulu, a i ʻole e helu i nā coefficient regulator.
"Pono mākou e hoʻoponopono i kahi pilikia kinematics pololei a hoʻohuli paha no kahi robot mobile a manipulative paha, e hana pū me ka Jacobian o ka ʻōnaehana a e ʻimi i nā manawa kaulike ma nā hui ma lalo o kahi haʻahaʻa waho i hāʻawi ʻia," wahi a Sergei Alekseevich Kolyubin, ka hope alakaʻi. ma ITMO. "E loaʻa nā hana hoʻolālā - pono ʻoe e kākau i kahi papahana liʻiliʻi no ka hoʻohālike ʻana i kahi robot a i ʻole ka hoʻolālā ʻana i nā alahele ma Python a i ʻole C++."
I ka hopena, pono nā haumāna e hoʻolālā i ka lopako e hoʻokō i nā hana mai nā hui hoa: Russian Railways, Diakont, KUKA, etc. Ua pili nā papahana i nā drones no ka ʻāina a me ka ea, a me nā lopako hui pū e hana ana i nā kūlana o ka pilina kino me ka kaiapuni. Ua like ke ʻano hoʻokūkū . ʻO ka mea mua, hana nā haumāna i kahi simulator, a laila ma nā lako lako maoli.
A laila, e noʻonoʻo mākou i kekahi mau koho no nā hana ma ke kahua Robotics e hālāwai ai nā haumāna. Eia nā laʻana no ka poʻe noi i nā papahana master:
Laʻana hana #1: Holo ka lopako kinematics kaʻa me ka māmā laina v=0,3 m/s. Huli ʻia ka huila hoʻokele ma kahi kihi w=0,2 rad. Inā like ka radius o nā huila o ka lopako me r=0,02 m, a ua like ka lōʻihi a me ke ala o ka lopako me L=0,3 m a me d=0,2 m, he aha nā wikiwiki angular o kēlā me kēia huila hope. w1 a me w2, i hoikeia ma rad/s ?
E hoʻokomo i kāu pane ma ke ʻano o nā helu ʻelua i hoʻokaʻawale ʻia e kahi hakahaka, pololei i ka lua decimal, me ka noʻonoʻo ʻana i ka hōʻailona.Laʻana hana #2: He aha ka mea hiki ke lilo i hōʻailona o ka astatism i loko o kahi ʻōnaehana pani e pili ana i ka mana kuhikuhi, inā e hana ʻia ka loiloi e like me ke kiʻina hana o ka ʻōnaehana?
ka hiki ʻana o nā loulou aperiodic i kahi kaapuni hāmama;
ka hele ʻana o nā loulou hoʻohui maikaʻi i kahi puka hāmama;
ka hele ʻana o nā loulou oscillatory a conservative i kahi kaapuni hāmama.
Eia nā pilikia no ka poʻe e komo ana i ke kula puka a i ʻole ka noho ʻana:
Laʻana hana #1: Hōʻike ke kiʻi i kahi robotic manipulator me nā kinematics redundant me 7 rotational joints. Hōʻike ke kiʻi i ka ʻōnaehana hoʻonohonoho kumu lopako {s} me ka vector axis y e kū pono ana i ka mokulele ʻaoʻao, ʻo ka ʻōnaehana hoʻonohonoho {b} i hoʻopili ʻia i ka flange a me ka collinear me {s}. Hōʻike ʻia ka lopako i loko o kahi hoʻonohonoho ʻana i like nā koina angular o nā loulou a pau me 0. Hōʻike ʻia nā koʻi helical no ʻehiku mau kinematic ma ke kiʻi (kūpono kūʻē i ka ʻaoʻao). ʻO nā koʻi o nā hui 2, 4 a me 6 e kuhikuhi pū ʻia, ʻo nā koʻi o nā hui 1, 3 5 a me 7 ua like me nā koʻi o ka ʻōnaehana hoʻonohonoho mua o ke kumu. Nā nui loulou L1 = 0,34 m, L2 = 0,4 m, L3 = 0,4 m, a me L4 = 0,15 m.
Laʻana hana #2: No ka hana paʻa o ka algorithm localization and mapping (SLAM) no nā lopako kelepona ma muli o nā kānana particle, ua hoʻoholo nā mea hoʻomohala e hoʻohana i ka algorithm resampling wheel resampling. Ma kekahi wahi o ka hana algorithm, he laana o 5 “particles” me ke kaupaona w(1) = 0,5, w(2) = 1,2, w(3) = 1,5, w(4) = 1,0 i hoomanao. a me w(5) = 0,8. He aha ka waiwai paepae liʻiliʻi o ka nui o ka laʻana kūpono i ka hoʻomaʻamaʻa i hāʻawi ʻia e hoʻokuʻu ʻia ka mīkini resampling. E kākau pololei i kāu pane ma ke ʻano decimal i hoʻokahi wahi decimal.
Pehea e hoʻomākaukau ai. Hiki iā ʻoe ke loiloi i kāu ʻike a me kou mau manaʻo me ka hoʻohana ʻana i kahi papa inoa. Pono nā mea komo i ka Robotics major:
- E ʻike i nā loina o ka hoʻohālike robot, nā hiʻohiʻona o nā mea ʻike hou a me nā ala no ka loaʻa ʻana o ka ʻike sensory.
- E ʻike a hiki ke hoʻohana i nā hana hoʻomaʻamaʻa a me nā algorithms no ka hoʻolālā trajectory a me ka hoʻokele aunoa, a me ka hoʻoili ʻana i ka ʻike sensory.
- Loaʻa i nā mākau i ka hoʻolālā hoʻonohonoho ʻia a me ka hoʻonohonoho ʻana i nā mea. Hiki iā ʻoe ke hana i nā wahi hoʻomohala no nā ʻōnaehana robotic.
- E ʻike i nā loina, nā hiʻohiʻona koʻikoʻi a me nā hiʻohiʻona hana o ka ʻāpana computing, drive a me nā sensor o nā robots hou. Loaʻa nā mākau e hoʻolālā a hoʻonohonoho i nā hoʻokolohua.
No ka "hoʻopaʻa paʻa" i kekahi o nā wahi, hiki iā ʻoe ke hoʻolohe . Kūkākūkā ʻia kekahi mau pilikia mai nā ʻOlumepika mua ma laila. Aia kekahi palapala kūikawā, no ka laʻana:
Nā puke hou aku
A me nā papa pūnaewele ma Openedu, Coursera a me Edx
Nā ʻike hou aku e pili ana i ka Olympiad:
Source: www.habr.com