Ua hoʻomohala ʻia ka papahana e ka Department of Discrete Mathematics o MIPT a me nā keʻena kumu o nā hui IT Sbertech, Tinkoff, Yandex, ABBYY a me 1C ma ke kula Physics and Technology of Applied Mathematics and Informatics (FPMI). He papa papa ia e hiki ai i nā mea noi maikaʻi loa i ka papahana a ka haku FPMI ke koho ma muli o nā hopena o nā hoʻokolohua komo.
Pehea e hoʻonohonoho ʻia ai ke ala holomua
Hoʻomākaukau kēlā me kēia keʻena i kahi papa o nā papa e hāʻawi i ka ʻike hohonu o nā ʻāpana like ʻole o ka Computer Science: ka nānā ʻana i ka ʻikepili, ka hoʻomohala ʻana i nā ʻoihana, ka hoʻopili ʻana a me nā wahi ʻē aʻe.
Hiki i nā haumāna o ke mele ke komo i nā papa mai nā keʻena a pau e komo ana. Hiki i nā haumāna Master ke koho i nā hoʻopaʻi a hana i kahi ala hoʻonaʻauao pilikino e pili ana i kā lākou mau pono ʻepekema pilikino a me nā makemake ʻoihana.
Papa inoa o nā papa:
9 kau makahiki
- Papahana polokalamu (1C)
- ʻO nā ala Bayesian i ke aʻo ʻana i ka mīkini (Yandex)
- Ka manaʻo helu helu
- Nā hiʻohiʻona kamepiula o ka hana ʻōlelo kūlohelohe (ABBYY)
- Hoʻoponopono kiʻi a me ka nānā ʻana (ABBYY)
- Introduction to proof theory and program verification (Tinkoff)
- ʻIkepili ʻikepili helu (ABBYY)
10 kau makahiki
- Ka hoʻomanaʻo a me ka mālama ʻikepili (1C)
- Hoʻoikaika i ke aʻo ʻana (Yandex)
- Nā hana Neuro-Bayesian (Yandex)
- Pūnaehana puʻunaue hiki ke hoʻonui ʻia (Sbertech)
- Hoʻohui. nā poʻo o ka paʻakikī helu (Department of Discrete Mathematics)
- Nā kaha kiʻi kiʻi. Mahele 1 (Keʻena o ka Makemakika Disrete)
- ʻO nā pūnaewele convolutional i nā pilikia ʻike kamepiula (ABBYY)
- ʻIke kamepiula (Yandex)
11 kau makahiki
- Hoʻolālā Meta (1C)
- NLP (Yandex)
- Hoʻonui i ka hana o nā ʻōnaehana polokalamu (Sbertech)
- ʻO ka papahana multiprocessor (Sbertech)
- ʻO ka manaʻo pāʻani algorithmic (Keʻena o ka Makemakika Discrete)
- Nā kaha kiʻi kiʻi. Mahele 2 (Keʻena o ka Makemakika Disrete)
- Ke aʻo hohonu i ka hana ʻōlelo kūlohelohe (ABBYY)
Pehea e hoʻomau ai
I Iulai, ua wehe ʻia kēlā me kēia keʻena e komo ana i ka hoʻomohala ʻana i ka track i kahi hoʻokūkū no nā wahi.
Pono nā mea noi e hele i nā hoʻokolohua komo maʻamau no ke komo ʻana i ka papahana haku FPMI. Pono mua ʻoe e koho , a laila e nānā i nā mea pili .
Ma muli o nā hopena recruitment, hiki i kēlā me kēia keʻena ke ʻōlelo aku no ke kākau inoa ʻana i ka papahana holomua holomua ʻaʻole i ʻoi aku ma mua o 20% o nā haumāna haku i noi iā ia a hōʻike i nā hopena ikaika loa i ka wā o nā hoʻokolohua komo.
No ke koho ʻana i ke mele a hoʻonohonoho i nā papahana pākahi, pono ʻoe e hoʻokaʻaʻike i ka ʻoihana.
Ke kiʻi .
Source: www.habr.com