Matambiro andinoita Online Master of Science muComputer Science, uye ndiani angave asina kukodzera kwairi

Ndakapedza gore rangu rekutanga rekudzidza mu Online Master of Science muComputer Science (OMSCS) chirongwa kuGeorgia Institute of Technology (3 makosi kubva pagumi). Ndaida kugovera mhedziso dzepakati.

Haufanire kuenda ikoko kana:

1. Ndinoda kudzidza kuronga

Mukunzwisisa kwangu, mu database yakanaka programmer inoda:

• Ziva chimiro chemutauro chaiwo, maraibhurari akajairwa, nezvimwewo;
• Kukwanisa kunyora kodhi inogona kushandiswa zvakare uye inowedzera;
• Kugona kuverenga kodhi uye kunyora kodhi inoverengwa;
• Kukwanisa kuyedza kodhi uye kugadzirisa zvikanganiso;
• Ziva yakakosha data zvimiro uye algorithms.

Kune mabhuku echinyorwa ichi, MOOC makosi, basa rakajairwa muchikwata chakanaka. Makosi ega ega paMSCS anogona kubatsira nezvimwe zviri pamusoro, asi zvakazara izvi handizvo zviri maererano nechirongwa. Kuziva mitauro kungave chinhu chinodiwa kumakosi, kana zvinofungidzirwa kuti unogona kukurumidza kuibata kusvika padanho rinodiwa. Semuenzaniso, muGraduate Introduction to Operating Systems kosi, zvaive zvakafanira kuita mapurojekiti mana nehuwandu hwe4+ mitsara yeC code, pamwe nemapepa esainzi gumi aifanira kuverengwa. Muchidzidzo cheArtificial Intelligence, kunze kwezvirongwa zvitanhatu zvakaoma, zvaive zvakakodzera kuti upfuure bvunzo mbiri dzakanyanyisa - mukati mevhiki imwe chete, kugadzirisa mapeji makumi matatu nemakumi matanhatu ematambudziko akaoma.

Kazhinji kazhinji hapana zvinodikanwa zve "yakanaka" kodhi maererano nekuverenga. Kazhinji giredhi rinogadzikwa otomatiki zvichibva pa autotests, pane kazhinji kacho zvinodikanwa zvekuita, uye kodhi uye zvinyorwa zvinotariswa kune plagiarism.

2. Chinangwa chikuru ndechekushandisa ruzivo rutsva munzvimbo yazvino

Mamwe makosi anogona kupa maturusi. Asi mubvunzo ndewokuti chii chauchaita neimwe tani yemapurojekiti uye zvigadzirwa, kusimudzira kunotora nguva yako yese yemahara kwemakore akati wandei. Zvinoratidzika kwandiri kuti chiitiko cheMSCS chinoenderana neiyi anecdote:

Musayendisiti uye mukurumbira wesainzi akabvunzwa nezve zvinangwa nemhedzisiro yeimwe tsvagiridzo:

Popularizer:
- Mhedzisiro yechidzidzo ichi yakabatsira kuyedza iyo hypothesis ... Uye zvakare yakaita mupiro wakakura mukukudziridza ...

Sainzi:
- Ehe, izvi zvinongotyisa!

Ndinotenda kuti iwe unogona kupfuura nepurogiramu yose pasina kurasikirwa chete kana nokuda kwechimwe chikonzero zvose zvinonakidza uye zvinonakidza. Asi izvi zvose hazviregi chokwadi chokuti vashandi vari kutarisa dzidzo yakadaro (kunyanya muAmerica, asi handifungi chete). Pashure pekuwedzera mashoko kuLinkedIn andaidzidza ikoko, ndakatanga kugamuchira zvikumbiro kubva kune vaitsvaka mabasa emakambani akanaka aibva kuEurope neUnited States. Pavanhu vandinoziva muToronto, vanhu vakati wandei vakasimudzira mabasa avo kana kuwana mabasa matsva panguva yezvidzidzo zvavo.

Pamusoro pehunyanzvi, MSCS inovhura mimwe mikana. Iwe unogona kutora chikamu mumapurojekiti anonakidza ekutsvagisa mukati meGeorgia Tech kana ukabudirira kupedza makosi anodiwa. Mukuru wekudzidzisa mubatsiri (TA) paAI mukomana wekuRussia uyo, mushure megore rekudzidza paOMSCS, akatamira kumusasa ndokuenda kunodzidza nekuita tsvakurudzo muAtlanta. Sekuziva kwangu, anoronga kuwana PhD.

3. Unotarisira kupedza chirongwa uri wega.

Conventionally, 50% yepurofiti kubva purogiramu ndiyo mukana wekutaurirana. OMSCS ine nharaunda yakakura uye inoshanda. Kirasi yega yega inoshandisa timu hombe yeTAs (kazhinji vadzidzi vanobva kuchirongwa chimwe chete vakabudirira kupedza kosi iripo). Nokuda kwechimwe chikonzero, vanhu ava vose vanoda kushanda uye kudzidza pamwe chete. Zvinopa kutaurirana:

• Mufaro wekuziva kuti hausi kutambura wega;
• Vazivikanwi vatsva kubva kumativi ose enyika uye kukura kweunyanzvi hwakapfava;
• Mukana wekuwana rubatsiro uye kudzidza chimwe chinhu;
• Mukana wekubatsira uye kudzidza chimwe chinhu;
• Professional networking.

Ruzhinji rwevadzidzi vanhu vane ruzivo muindasitiri, kazhinji misoro yemadhipatimendi, vagadziri vezvivakwa, kunyangwe maCTO. Vanenge 25% havana dzidzo yeCS yepamutemo, i.e. vanhu vane ruzivo rwakasiyana-siyana. Pakutanga kwepurogiramu, ndaiva nemakore mashanu ekuziva muJava kukura muYandex.Money, uye iye zvino ndinoshanda-nguva semuongorori mukutanga kwezvokurapa (kudzidza kwakadzama mumazino).

Vadzidzi vazhinji vanokurudzirwa uye vakasununguka kutaurirana. Iwe unogona kuenda kuburikidza nechirongwa chete, asi somugumisiro, iwe unodyara 2.5-3 makore enguva yako (kana iwe ukafunga nezvebasa) uye unogamuchira chete 50% yemubhadharo unobvira. Kwandiri, iyi poindi ndiyo yakanyanya kuoma, nekuti... pane kusava nechokwadi uye chipingamupinyi chemutauro, asi ndinoedza kushanda pazviri. Tinogara tichisangana nevamwe vatinoshanda navo vanogara muToronto. Vese vacho vakomana vanoshanda uye vanonakidza uye nyanzvi dzepamusoro, mumwe wavo akaronga musangano naZvi Galil, "baba" vechirongwa cheOMCSS, dhipatimendi weFaculty yeComputing Georgia Tech, akasiya chinzvimbo chake gore rino.

Muenzaniso wekukurudzira: kune mudzidzi ane mukurumbira akabatanidza kupedza chirongwa uye kushanda muchiuto. Akabatana neforamu achibhururuka, uye akaita mapurojekiti uye akateerera hurukuro paaiita maekisesaizi emumunda. Parizvino anoshanda kusangano rekutsvagisa kuGeorgia Tech uye anoronga kuita PhD.

4. Kusada kuita zvakakomba nenguva

Pakutanga kuona, OMSCS inogona kuita seyakafanana kuunganidzwa kweMOOC makosi kana hunyanzvi paCoursera kana chikuva chakafanana. Ndakatora makosi akati wandei paCoursera, semuenzaniso, zvikamu zvekutanga zveCryptography uye Algorithms kubva kuStanford. Pamusoro pezvo, ndakatora kosi imwe yakabhadharwa yepamhepo yeGraduate kuStanford (MS nePhD vadzidzi vanoitora) uye ndakateerera hurukuro kubva kuStanford CS231n (Convolutional Neural Networks for Visual Recognition) mahara.

Zvichienderana neruzivo rwangu, misiyano mikuru pakati peMakosi ekupedza kudzidza uye emahara MOOC makosi ndeaya:

• Zvakatotaurwa zvakanyanya kubatanidzwa uye kukurudzira kweTAs, varairidzi, vamwe vadzidzi, kuzvipira kukuru (hapana anoda kuteerera chirongwa zvachose, kunyanya sezvo paine muganhu wemakore matanhatu);
• Iyo yakaomesesa nguva yakatarwa: mune yeGeorgia Tech, hurukuro dzese dzinowanikwa kamwechete (unogona kuzviteerera panguva yakakodzera). Iwe unogona kuverenga bhuku rekutanga (vanhu vazhinji vanoita izvi pakati pemamesita). Asi kune mapurojekiti, uye ane mazuva ekupedzisira, kazhinji mapurojekiti anosungirirwa kune chaiwo hurukuro. Kune mazuva ekupedzisira ebvunzo (kazhinji maviri pamesita). Zvinokurudzirwa kuchengetedza kufamba. Inguva yakawanda sei pavhiki yaunoda zvinoenderana nekosi uye ruzivo. Ini handingatarisiri <maawa gumi pasvondo pakirasi. Paavhareji zvinotora ini makumi maviri (dzimwe nguva zvishoma, dzimwe nguva zvinogona kuva 10 kana 20);
• Mapurojekiti akaomarara uye anonakidza kupfuura muMOOCs, uye kurongeka kwehukuru hukuru;
• Mayunivhesiti uye vangangove vashandirwi vari kutarisa zvakanyanya kumakosi akadai. Kunyanya, kana ichiendesa chikumbiro, Georgia Tech inobvunza kuti: "HAIYE Nyora isina-giredhi, isiri-yedzidzo-kiredhiti MOOC-mhando kosi."

5. Ndinoda kuti zvinhu zvose zvive zvakajeka, zvipfupi uye zvakajeka

Chekutanga, MSCS haisi dhigirii reBachelor. Kune hurukuro, asi dzinopa pfungwa yakajairika yenyaya yacho. Kuwedzera kana kubvisa, mapurojekiti ese anosanganisira tsvakiridzo yemunhu. Inogona kusanganisira kutaurirana nevamwe vadzidzi uye maTA (ona pfungwa 3), kuverenga mabhuku, zvinyorwa, nezvimwe.

Kechipiri, OMSCS inzvimbo yakakura uye ine simba ine boka revanhu vanofarira kugadzira nekuchengetedza makosi (ona poindi 2). Vanhu ava vanoda kuedza uye matambudziko. Ivo vanochinja mapurojekiti, kuyedza nemibvunzo mubvunzo uye bvunzo, shandura mamiriro ebvunzo, nezvimwe. Nekuda kweizvozvo, izvi zvinokonzeresa zvimwe zvisingatarisike zvachose. Muchiitiko changu:

• Mune imwe kosi, chimwe chinhu chakashata mushure mekugadzirisa maseva uye maseva aya akamira kuburitsa chero yakagadzikana bvunzo mhinduro pasi pemutoro. Vanhu vakaita nekuwedzera nyemwerero ine chikanganiso cheserver mukunonoka uye nehusiku kuedza kupfuudza nekutumira;
• Imwe kosi yakaburitsa bvunzo nebvunzo nedzimwe mhinduro dzisiridzo kana kupokana. Zvichienderana nehurukuro nevadzidzi, zvikanganiso izvi zvakagadziriswa pamwe chete nemakiredhi. Vamwe vakapindura vakadzikama, vamwe vakashatirwa uye vakatukwa. Shanduko dzese dzaive dzekuwedzera kwandiri uye zvaitonakidza nenzira yayo (iwe hapana chaunoita, asi chibodzwa chako chinokura).

Izvi zvese, hongu, zvinowedzera kushushikana kudiki kune yatove yakatsetseka roller coaster, asi zvinhu zvese izvi zvine hukama kune chokwadi chehupenyu: zvinokudzidzisa iwe kuongorora dambudziko, kugadzirisa matambudziko mumamiriro ezvinhu asina chokwadi, uye kuvaka nhaurirano ne. vamwe vanhu.

OMSCS kuGeorgia Tech ine yayo chaiyo:

• Georgia Tech imwe yemayunivhesiti epamusoro ehunyanzvi muUnited States;
• Imwe yekare yepamhepo MSCS;
• Pamwe iyo yakakura online MSCS: ~ zviuru zvipfumbamwe vadzidzi mumakore matanhatu;
• Imwe yeMSCS isingadhuri: inenge zviuru zvisere zvemadhora pakudzidziswa kwese;
• Kune 400-600 vanhu vanodzidza mumakirasi panguva (kazhinji zvishoma pakupera; pakati pemesita unogona kusiya negiredhi reW, risingakanganisi GPA yako);
• Haasi ese epa-campus makirasi anowanikwa online (asi rondedzero iri kuwedzera uye patova nesarudzo yakanaka kwazvo; hapasati pave nekudzidza kwakadzama, asi isu hatirasi tariro);
• Hazvisi nyore kupinda mukirasi chero ipi zvayo nekuda kwemitsara yekutanga uye nhamba huru yevanyoreri (Graduate Algorithms, zvinokatyamadza, anenge munhu wese anopfuura akananga kumagumo);
• Haasi ese makirasi akaenzana mumhando yezvishandiso uye chiitiko cheTA uye mapurofesa, asi kune akawanda makirasi akanaka. Pane ruzivo rwakawanda paInternet nezve makosi chaiwo (wongororo, reddit, slack). Iwe unogona nguva dzose kusarudza chimwe chinhu chinokodzera kuravira kwako.

Tichifunga nezvese zvakatemwa, nedanho rakanaka rekukurudzira, chinzvimbo chinoshanda uye maonero akanaka, iyi inzira inonakidza uye yechokwadi. Ndinotarisira kuti mugore maonero angu haazoshanduki zvakanyanya, uye kuti ruzivo urwu ruchabatsira kune mumwe munhu.

Source: www.habr.com