ʻO ka ʻepekema kamepiula kahi kahua makemake nui me nā manawa he nui no nā limahana akamai e ʻimi i ka hana maikaʻi. He ala maikaʻi loa ka lawe ʻana i kahi papahana ʻepekema kamepiula pūnaewele manuahi no nā haumāna a me nā poʻe ʻoihana makemake e ʻimi i kahi ʻoihana ma kēia ʻoihana e hoʻomohala i nā mākau kumu a me ka ʻike e pono ai e hoʻomaka.
Ua noiʻi a loiloi mākou i ka 15 maikaʻi loa Free Online Computer Science Degrees e kōkua iā ʻoe i ka loaʻa ʻana o ka pae ʻepekema kamepiula manuahi maikaʻi loa i loaʻa.
Moho me a degree ma kā ka ʻepekema kamepiula hiki ke ʻimi i nā ʻoihana ma ka ʻoihana, nā ʻoihana hoʻomohala, ka hoʻonaʻauao, ka ʻenekinia, ka lāʻau lapaʻau, ka ʻepekema, a me nā ʻano hana ʻē aʻe.
Kekahi lolouila ʻepekema puka me ka offline a i ʻole palapala ʻepekema lolouila pūnaewele Hiki iā ia ke hana ma ke ʻano he polokalamu polokalamu noi, coder, luna hoʻoponopono pūnaewele, ʻenekinia polokalamu, loiloi ʻōnaehana, a i ʻole mea hoʻomohala pāʻani wikiō, e inoa i kekahi.
E ʻaʻa e moeʻuhane nui, a e uku ʻia ʻoe! ʻAʻole mākou e ʻōlelo nei he maʻalahi ka hana, akā e ʻohi maoli ʻoe i nā uku o ka loaʻa ʻana o kāu kekelē ʻepekema kamepiula pūnaewele me ka manuahi.
Table of Contents
Ke kēkelē ʻepekema kamepiula pūnaewele
Malia paha ua hoihoi mau ʻoe ʻenehana polokalamu kamepiula a me ka lako kamepiula. ʻO ia ke kumu e makemake ai ʻoe e ʻimi i ke kēkelē laepua ma kēia kahua. ʻOiai e hana ana i kāu hana moeʻuhane, hiki i kahi polokalamu ʻepekema kamepiula manuahi pūnaewele ke kōkua iā ʻoe e kaulike i nā ʻano ʻē aʻe o kou ola, e like me ka hana a me ka ʻohana.
Nā papahana ma Information Technology, nā ʻōnaehana kamepiula a me nā ʻupena, palekana, nā ʻōnaehana waihona, ka pilina kanaka me ka lolouila, ka hihiʻo a me nā kiʻi, ka helu helu, nā ʻōlelo papahana, ka ʻenekinia lako polokalamu, bioinformatics, a me ka ʻike helu helu he mau koi maʻamau no ke kēkelē ʻepekema kamepiula.
Ma mua o kou hoʻomaka ʻana i kahi papahana kamepiula kamepiula pūnaewele, makemake paha ʻoe e ʻike i nā ala ʻoihana e hiki ai ke alakaʻi. Nui nā koho, a hiki i kāu mau makemake ke alakaʻi iā ʻoe i ke ala kūpono.
ʻO nā hana a me nā uku uku
Makemake paha ʻoe e ʻike i ka nui a ke kēkelē laepua ʻepekema kamepiula pūnaewele pono ma mua o kou hoʻolilo ʻana i ka manawa, ka ikaika, a me ke kālā e hoʻopau ai. Eia kahi hiʻohiʻona o nā manawa hana, nā loaʻa kālā, a me ka ulu ʻana o ka hana e hiki mai ana.
ʻO ka ʻenekinia lolouila, ʻike ʻia hoʻi ʻo ia ʻo Software Engineer, ke kuleana o ka hana ʻana i nā ʻōnaehana kamepiula, lako polokalamu, a me nā polokalamu lako.
ʻO kā lākou kuleana e pili ana i ka hoʻomohala ʻana i nā lako a me nā lako polokalamu e like me nā mea hoʻokele, nā papa kaapuni, a me nā polokalamu kamepiula, a me ka hoʻāʻo ʻana i kā lākou hoʻolālā no nā hemahema a me ka nānā ʻana i nā pūnaewele kamepiula. Hoʻohana ʻia lākou i nā ʻoihana like ʻole, me ka aerospace, automotive, kamaʻilio data, ikehu, a me ka ʻenehana ʻike.
ʻO ka uku makahiki median no nā ʻepekema noiʻi kamepiula a me ka ʻike e like me US BUREAU O LABOR STATISTICS aia ma kahi o $126,830, akā hiki iā ʻoe ke loaʻa hou aʻe ma ka hana ʻana i kou ala a hiki i kahi kūlana kiʻekiʻe a i ʻole kūlana hoʻokele.
Eia kekahi, ʻoi aku ka wikiwiki o ka ʻoihana ʻepekema kamepiula ma kahi o 22 pakeneka i nā makahiki he ʻumi e hiki mai ana ma mua o ka awelika no nā hana āpau.
Ke koho ʻana i kahi kekelē ʻepekema kamepiula pūnaewele manuahi
Ke hoʻoholo ʻoe e ʻimi i kahi kekelē ʻepekema kamepiula pūnaewele, makemake ʻoe e nānā a puni no nā kula maikaʻi loa. Eia kekahi mau hiʻohiʻona e noʻonoʻo ai:
- He kumukūʻai pili
- Ka kōkua kālā
- Lakiō haumāna-i-kumu
- ʻO ka ʻae ʻana o ka papahana Degree
- ʻO nā manaʻo kūikawā i loko o ka papahana bachelor's engineering uila
- Ka leka hoʻomaopopo
- Ke kaʻina hoʻonaʻauao
- Nā lawelawe hoʻokomo hana
- Nā lawelawe aʻoaʻo
- ʻO kaʻaeʻana i nā hōʻai'ē hoʻoili
- ʻAiʻai no ka ʻike
Hoʻolālā ʻia kekahi mau papahana ʻepekema kamepiula pūnaewele e hoʻohana pū me nā hōʻaiʻē i loaʻa mua e hoʻopau i ke kēkelē laepua. Hoʻohana nui ʻia nā hōʻaiʻē hoʻoili i kēia mau papahana.
Eia nō naʻe, ʻae kekahi mau papahana iā ʻoe e hoʻopau i ka papahana bachelor's degree ma ka pūnaewele. Pono e hoʻolilo i ka manawa no ka noiʻi ʻana i nā kula he nui a me ka hoʻoholo ʻana.
Papa inoa o 15 Free Online Computer Science Degrees
Loaʻa i kāu BS ma Computer Science me ka manuahi mai kekahi o nā keʻena i helu ʻia ma lalo nei.
- ʻEpekema kamepiula-Stanford University ma o edX
- ʻEpekema Kamepiula: Ka Papahana me kahi Kumu- Ke Kulanui ʻo Princeton
- Hoʻomaka ʻia ʻo ʻEpekema Pūnaewele Kūikawā - ke Kulanui o Illinois ma Urbana-Champaign
- Ka Manaʻo Makemakika ma ka ʻepekema kamepiula- Kaleponi San Diego
ʻepekema kamepiula no nā ʻoihana ʻoihana- Ke Kulanui ʻo Harvard - Moʻolelo Pūnaewele, ʻenehana, a me ka palekana- Ke Kulanui o Michigan
- International Cyber Conflicts- Ke Kulanui Moku'āina o New York Online
- Kamepiula a me ke Keʻena Hoʻohua lako polokalamu- Hong Kong University of Science and Technology
- Hoʻolālā ʻIke Mea hoʻohana- Georgia Tech
- Hoʻomohala Pūnaewele- Ke Kulanui o Kaleponi, Davis
- Kotlin no nā mea hoʻomohala Java- Jetbrains
- E aʻo i ka papahana: The Fundamentals- University of Toronto
- Aʻo Mīkini no All- University of London
- Ka Manaʻo Makemakika ma ka ʻEpekema ʻEpekema – Ke Kulanui o Kaleponi, San Diego
- Nā Lopako o kēia wā: Nā kumu o ka Robot Motion- Northwestern University
- Hoʻoponopono ʻŌlelo Kūlohelohe- HSE University
ʻO ke kēkelē ʻepekema kamepiula pūnaewele manuahi
#1. ʻEpekema kamepiula-Stanford University ma o edX
He polokalamu ʻepekema kamepiula koʻikoʻi kēia i hāʻawi ʻia e Stanford Online a hāʻawi ʻia ma o ke kahua edX.
ʻO ia kekahi o nā polokalamu ʻepekema kamepiula manuahi maikaʻi loa no nā poʻe hoʻomaka i loaʻa iā mākou, no ka mea, hoʻolauna ia i nā mea hoʻohana me ka ʻike ʻole o ke kumuhana.
ʻAʻohe koi a manaʻo paha no kēia papa ʻepekema kamepiula pūnaewele. E ʻike paha nā haumāna i kamaʻāina i ka hapa nui o nā manaʻo ma luna nei; akā naʻe, kūpono ia no ka mea hoʻomaka.
Hiki ke kūʻai ʻia kahi palapala hōʻoia no $149, akā ʻaʻole koi ʻia no ka mea hiki ke hoʻopau ʻia ka papa me ka manuahi.
#2. ʻEpekema Kamepiula: Papahana me kahi kumu- Ke Kulanui ʻo Princeton ma o Coursera
ʻO ke aʻo ʻana i ka papahana ʻo ia ka hana mua e pono ai i ka ʻepekema kamepiula, a ua uhi ʻia kēia papahana ʻo Princeton University i ke kumuhana me 40 mau hola o ke aʻo ʻana.
ʻAʻole like me kekahi o nā papa hoʻomaka ʻē aʻe ma kā mākou papa inoa, hoʻohana kēia iā Java, ʻoiai ʻo ka pahuhopu nui ke aʻo ʻana i nā haumāna papahana ma ka laulā.
#3. Hoʻomaka ʻia ʻo ʻEpekema Pūnaewele Kūikawā - ke Kulanui o Illinois ma Urbana-Champaign
He ʻekolu papa kēia kumu o ka ʻepekema ʻepekema, hiki ke lawe ʻia kēlā me kēia ma ke ʻano loiloi no ka manuahi ma ka kahua Coursera e loaʻa ai ka ʻike loea piha.
ʻAʻole hiki iā ʻoe ke komo i nā papahana lima a i ʻole e loaʻa kahi palapala hōʻoia ma ke ʻano manuahi, akā e loaʻa nā ʻano ʻē aʻe a pau o ka papa. Inā makemake ʻoe e kiʻi i ka palapala hōʻoia akā ʻaʻole hiki ke loaʻa, hiki iā ʻoe ke noi no ke kōkua kālā ma ka pūnaewele.
ʻO nā papa hana ʻikepili i hoʻonohonoho ʻia ma C ++, nā papa ʻikepili i kauoha ʻia, a me nā papa ʻikepili ʻole i hoʻonohonoho ʻia.
Ua hoʻolālā ʻia ka papa ʻepekema kamepiula manuahi ma ka pūnaewele, i aʻo ʻia e ke kaukaʻi ʻepekema kamepiula ʻo Wade Fagen-Ulmschneider, no nā haumāna i lawe mua i kahi papa hoʻomaka ma ka ʻōlelo papahana e like me Python a hiki ke kākau i kahi papahana.
#4. Ka Manaʻo Makemakika ma ka ʻepekema kamepiula- Kaleponi San Diego
ʻO ka Noʻonoʻo Makemakika i ka ʻEpekema ʻEpekema he polokalamu ʻepekema kamepiula pae hoʻomaka he 25 hola e aʻo ai i nā haumāna i nā mākau noʻonoʻo makemakika koʻikoʻi e pono ai ma nā ʻano āpau o ka ʻepekema kamepiula.
Ke aʻo aku nei ka papahana ʻepekema kamepiula manuahi i nā haumāna e pili ana i nā mea hana makemakika discrete e like me ka induction, recursion, logic, invariants, examples, and optimality. E hoʻohana ʻia nā mea hana āu i aʻo ai e pane i nā nīnau hoʻonohonoho.
I loko o ke aʻo ʻana, e hoʻoponopono ana ʻoe i nā puʻupuʻu pāʻani (ʻo ia hoʻi ke kelepona paʻa) e kōkua iā ʻoe e hoʻomohala i nā mākau noʻonoʻo e pono ai e noʻonoʻo pono i nā hopena. Pono kēia papahana hoihoi i nā mākau makemakika maʻamau, ka ʻimi, a me ka makemake e aʻo.
#5. ʻepekema kamepiula no nā ʻoihana ʻoihana- Ke Kulanui ʻo Harvard
Hoʻolālā ʻia kēia papahana no nā ʻoihana ʻoihana e like me nā mana, nā mana huahana, nā mea hoʻokumu, a me nā mea hoʻoholo i pono e hoʻoholo i ka ʻenehana akā ʻaʻole akamai i ka ʻenehana.
ʻAʻole like me CS50, i aʻo ʻia mai lalo i luna, aʻo ʻia kēia papa mai luna a lalo, e hoʻoikaika ana i ka mākaukau o nā manaʻo kiʻekiʻe a me nā hoʻoholo pili. ʻO ka noʻonoʻo helu helu a me ka hoʻomohala pūnaewele ʻelua mau kumuhana i uhi ʻia.
#6. Moʻolelo Pūnaewele, ʻenehana, a me ka palekana- Ke Kulanui o Michigan
ʻO ka poʻe a pau i hoihoi i ka mōʻaukala o ka punaewele a me ke ʻano o ka hana ʻana, e pōmaikaʻi lākou mai ka papa manuahi manuahi o ke Kulanui o Michigan. Nānā ka papa moʻolelo Internet, ʻenehana, a me ka palekana i ka hopena o ka ʻenehana a me nā ʻupena i ko mākou ola a me ko mākou moʻomeheu.
Ma loko o nā modula he ʻumi, e aʻo nā haumāna e pili ana i ka ulu ʻana o ka pūnaewele, mai ka wanaʻao o ka hoʻopili uila i ka wā o ke Kaua Honua II a hiki i ka ulu wikiwiki a me ka hoʻolaha ʻana o ka pūnaewele e like me kā mākou i ʻike ai i kēia lā. E aʻo pū nā haumāna i ka hana ʻana, hoʻopili, a hoʻokau i nā noi a me nā pūnaewele. He kūpono ka papa no nā haumāna hoʻomaka a hiki i nā haumāna kiʻekiʻe a lawe ma kahi o 15 mau hola e hoʻopau ai.
#7. International Cyber Conflicts- Ke Kulanui Moku'āina o New York Online
Ma muli o nā hōʻike i kēlā me kēia lā no ka cybercrime o ka honua, ua kaulana loa ka papa pūnaewele manuahi a SUNY Online ma mua o ka wā. Ma International Cyber Conflicts, e aʻo nā haumāna i ka ʻokoʻa ma waena o ka mākaʻikaʻi politika, ka ʻaihue data, a me ka propaganda.
E aʻo pū lākou e ʻike i nā mea pāʻani like ʻole i ka hoʻoweliweli cyber, hōʻuluʻulu i nā hana cybercrime, a hoʻopili i nā manaʻo noʻonoʻo like ʻole o ka hoʻoikaika kanaka i nā hakakā cyber honua. Wehe ʻia ka papa i nā haumāna o nā pae āpau a lōʻihi ma kahi o ʻehiku mau hola.
#8. Kamepiula a me ke Keʻena Hoʻohua lako polokalamu- Hong Kong University of Science and Technology
Loaʻa ka hoʻomaka ʻana i nā kamepiula a me nā lako hana huahana ma ke Kulanui o ʻEpekema a me ʻenehana ʻo Hong Kong. He kūpono kēia papa ʻepekema lolouila manuahi no ka poʻe e ʻimi nei e hoʻonui i kā lākou resume a i ʻole CV me ka ʻike Word, Excel, a me PowerPoint. E aʻo pū nā haumāna pehea e hoʻohana ai iā GIMP e hoʻoponopono i nā kiʻi.
Ua uhi ʻia nā ʻāpana like ʻole o ke kamepiula a me nā ʻano polokalamu like ʻole i hoʻohana ʻia ma ka ʻōnaehana kamepiula. Wehe ʻia ka papa i nā mea a pau, aʻo ʻia ma ka ʻōlelo Pelekania, a lōʻihi ma kahi o 15 mau hola.
#9. Hoʻolālā ʻIke Mea hoʻohana- Georgia Tech
Inā makemake ʻoe e aʻo i ka Hoʻolālā Mea Hoʻohana (UX), ʻo ia ka papa no ʻoe. Introduction to User Experience Design, he papa i hāʻawi ʻia e Georgia Tech, e uhi ana i ka hoʻolālā ʻana i nā mea ʻē aʻe, prototyping, a me nā mea hou aku.
He kūpono ia no ka poʻe hoʻomaka a ma kahi o ʻeono hola e hoʻopau ai.
#10. Hoʻomaka i Hoʻomohala Pūnaewele- Ke Kulanui o Kaleponi, Davis
Hāʻawi ʻo UC Davis i kahi papa ʻepekema kamepiula pūnaewele manuahi i kapa ʻia ʻo Introduction to Web Development. He kūpono kēia papa pae hoʻomaka no ka poʻe e noʻonoʻo ana i kahi ʻoihana ma ka hoʻomohala pūnaewele a uhi i nā kumu waiwai e like me CSS code, HTML, a me JavaScript.
E ʻoi aku ka maikaʻi o ka hoʻomaopopo ʻana o nā haumāna i ke ʻano a me ka hana o ka pūnaewele ma ka pau ʻana o ka papa. Hiki i nā haumāna ke hoʻolālā a hoʻolaha i kā lākou ʻaoʻao pūnaewele. He 25 mau hola e hoʻopau ai i ka papa.
#11. Kotlin no nā mea hoʻomohala Java- Jetbrains
E pōmaikaʻi ka poʻe polokalamu papahana pae waena e hoʻonui i ko lākou ʻike mai kēia papa ʻepekema kamepiula pūnaewele manuahi. Loaʻa ʻo JetBrains Kotlin no Java Developers ma o ka punaewele hoʻonaʻauao Coursera. "Nullability, Functional Programming," "Properties, OOP, Conventions," a me "Sequences, Lambdas with Receiver, Types" kekahi o nā kumuhana i uhi ʻia ma ka syllabus. Ma kahi o 25 mau hola ka lōʻihi o ka papa.
#12. E aʻo i ka papahana: The Fundamentals- University of Toronto
Makemake ʻoe e ʻike pehea e hana ai i nā mea i ka honua o ka ʻepekema kamepiula? A laila pono ʻoe e nānā i kēia papa manuahi manuahi i hāʻawi ʻia e ke Kulanui o Toronto. E aʻo i ka Papahana: Object-Oriented Programming, e like me ka manaʻo o ka inoa, he papa papahana hoʻomaka.
Ke aʻo nei ka papa Fundamentals i ke kumu o ka papahana a pehea e kākau ai i nā papahana pono. Hoʻokumu ka papa i ka papahana Python. Hoʻokipa ʻia ka poʻe hoʻomaka e kākau inoa i ka papa, hiki ke hoʻopau ʻia ma kahi o 25 mau hola.
#13. Aʻo Mīkini no All- University of London
ʻO ke aʻo ʻana i ka mīkini kekahi o nā kumuhana kaulana loa i ka ʻepekema kamepiula, a hiki iā ʻoe ke aʻo i nā mea āpau e pono ai ʻoe e ʻike e pili ana iā ia ma Machine Learning for All.
ʻAʻole pili kēia papa pūnaewele manuahi mai ke Kulanui o Lākana i nā hāmeʻa papahana i uhi ʻia i ka hapa nui o nā papa ʻē aʻe ma ke kumuhana.
Akā, uhi kēia papa i nā kumu o nā ʻenehana aʻo mīkini, a me nā pōmaikaʻi a me nā hemahema o ke aʻo ʻana i ka mīkini no ke kaiāulu. Ma ka hopena o ka papa, hiki i nā haumāna ke hoʻomaʻamaʻa i kahi module aʻo mīkini me ka hoʻohana ʻana i nā ʻikepili. Hoʻolālā ʻia ka papa no ka poʻe hoʻomaka a lawe ʻia ma kahi o 22 mau hola e hoʻopau ai.
#14. Ka Manaʻo Makemakika ma ka ʻEpekema ʻEpekema – Ke Kulanui o Kaleponi, San Diego
ʻO ka noʻonoʻo makemakika i ka ʻepekema kamepiula he papa manuahi i hāʻawi ʻia e UC San Diego me ka hui pū ʻana me HSE University ma Coursera.
Hoʻopili ka papa pūnaewele i nā mea hana makemakika koʻikoʻi nui, me ka induction, recursion, logic, invariants, examples, a me ka maikaʻi.
ʻO ke koi wale nō ka ʻike maʻamau o ka makemakika, ʻoiai ʻoi aku ka maikaʻi o ka ʻike kumu o ka papahana. Hoʻolālā ʻia ka papa no ka poʻe hoʻomaka a he ʻāpana ia o kahi ʻoihana makemakika discrete nui aʻe.
#15. Nā Lopako o kēia wā: Nā kumu o ka Robot Motion- Northwestern University
ʻOiai inā makemake ʻoe i nā robots ma ke ʻano he ʻoihana a i ʻole ma ke ʻano he leʻaleʻa, pono ʻole kēia papa manuahi mai Northwestern University! ʻO Foundations of Robot Motion ka papa mua i kahi loea robotics hou.
Aʻo ka papa i ke kumu o ka hoʻonohonoho robot, a pehea a me ke kumu e neʻe ai nā robots. Kūpono ʻia ʻo Foundations of Robot Motion no nā haumāna pae waena a lawe ʻia ma kahi o 24 mau hola e hoʻopau ai.
Nā nīnau nīnau e pili ana i ke kēkelē ʻepekema kamepiula pūnaewele manuahi
Hiki iaʻu ke aʻo i ka ʻepekema kamepiula ma ka pūnaewele me ka manuahi?
Hiki iā ʻoe. Hāʻawi nā kahua hoʻonaʻauao E-learning me Coursera a me edX i nā haʻawina ʻepekema kamepiula pūnaewele manuahi - me nā palapala hōʻoia i uku ʻia - mai nā kula e like me Harvard, MIT, Stanford, ke Kulanui o Michigan, a me nā mea ʻē aʻe.
Ma hea e hiki ai iaʻu ke aʻo i ka CS no ka manuahi?
ʻO kēia hāʻawi manuahi cs no ka manuahi:
- MIT OpenCourseWare. ʻO MIT OpenCourseWare (OCW) kekahi o nā papa coding pūnaewele manuahi maikaʻi loa no nā poʻe hoʻomaka.
- edX
- Coursera
- Udacity
- Udemy
- ʻO ka Pūʻulu Ka'ū Paena
- ʻO Khan Academy.
He paʻakikī kahi papahana ʻepekema kamepiula pūnaewele?
ʻAe, paʻakikī ke aʻo ʻana i ka ʻepekema kamepiula. Pono ke kahua e hoʻomaopopo pono i nā kumuhana paʻakikī e like me ka ʻenehana kamepiula, lako polokalamu, a me nā algorithm helu helu. Eia nō naʻe, me ka manawa kūpono a me ka hoʻoikaika ʻana, hiki i kekahi ke kūleʻa i kahi kahua paʻakikī e like me ka ʻepekema kamepiula.
Hiki paha iāʻoe ke heluhelu
- 10 Kikokikona ʻEpekema Kiekie Laepua Ma ka Pūnaewele
- 15 ʻO nā kula ʻenehana lako polokalamu maikaʻi loa ma ka pūnaewele
- ʻO 25 mau kulanui maikaʻi loa ma Kelemānia no ka ʻepekema kamepiula
- ʻO 50+ mau kulanui maikaʻi loa no ka ʻepekema kamepiula ma ka honua
- Nā Haʻawina Kamepiula Online me ka palapala hōʻoia.
Panina
Pono nā ʻoihana a pau, mai ka ʻoihana a me ka mālama ola kino a i ka mokulele a me nā kaʻa, i nā ʻepekema kamepiula akamai i hiki ke hoʻoponopono i nā pilikia paʻakikī.
Loaʻa i kāu BS in Computer Science ma ka pūnaewele mai kekahi o nā keʻena i helu ʻia ma kēia ʻatikala a loaʻa i ka mākaukau kiʻekiʻe e pono ai e holomua ma kekahi mākeke a hoʻololi i nā pono loli o nā ʻoihana a puni ka honua.