Izifundo ngesiNgesi
Intshayelelo kwiiModeli zeLinear kunye ne-Matrix Algebra (eHarvard)
IYunivesithi yaseHarvard, ngeqonga layo leHarvardX kwi-edX, ibonelela ngesifundo "Intshayelelo kwiiModeli zeLinear kunye neMatrix Algebra". Nangona ikhosi ifundiswa ngesiNgesi, inika ithuba elikhethekileyo lokufunda iziseko ze-matrix algebra kunye neemodeli zemigca, izakhono eziyimfuneko kwiinkalo ezininzi zenzululwazi.
Le khosi yeeveki ezine, ifuna iiyure ezi-2 ukuya kwezi-4 zokufunda ngeveki, yenzelwe ukuba igqitywe ngesantya sakho. Ijolise ekusebenziseni ulwimi lweprogram ye-R ukusebenzisa iimodeli zelinear kuhlalutyo lwedatha, ngakumbi kwisayensi yobomi. Abafundi baya kufunda ukusebenzisa i-matrix algebra kwaye baqonde ukusetyenziswa kwayo kuyilo lovavanyo kunye nohlalutyo oluphezulu lwedatha.
Inkqubo ibandakanya i-matrix algebra notation, imisebenzi ye-matrix, ukusetyenziswa kwe-matrix algebra kuhlalutyo lwedatha, iimodeli zomgca, kunye nentshayelelo yokubola kwe-QR. Le khosi yinxalenye yoluhlu lwezifundo ezisixhenxe, ezinokuthi zithathwe ngabanye okanye njengenxalenye yezatifikethi ezimbini zobungcali kwi-Data Uhlalutyo lweSayensi yoBomi kunye neGenomic Data Analysis.
Le khosi ifanelekile kwabo bajonge ukufumana izakhono kwimodeli yamanani kunye nohlalutyo lwedatha, ngakumbi kumxholo wesayensi yobomi. Ibonelela ngesiseko esiluqilima kwabo banqwenela ukuphonononga ngakumbi i-matrix algebra kunye nokusetyenziswa kwayo kwiinkalo ezahlukeneyo zenzululwazi kunye nophando.
I-Master Probability (eHarvard)
LUluhlu lokudlalwayo lwe- "Statistics 110: Inokwenzeka" kuYouTube, efundiswa ngesiNgesi nguJoe Blitzstein weYunivesithi yaseHarvard, sisixhobo esixabiseke kakhulu kwabo bajonge ukukhulisa ulwazi lwabo lokwenzeka.. Uluhlu lokudlalayo lubandakanya iividiyo zesifundo, izixhobo zokuphonononga, kunye nokuzivocavoca okungaphezulu kwama-250 kunye nezisombululo ezineenkcukacha.
Le khosi yesiNgesi yintshayelelo ebanzi yokwenzekayo, enikezelwa njengolwimi olubalulekileyo kunye neseti yezixhobo zokuqonda izibalo, isayensi, umngcipheko kunye nokungakhethi. Iikhonsepthi ezifundiswayo ziyasebenza kwiinkalo ezahlukeneyo ezifana namanani, isayensi, ubunjineli, uqoqosho, imali kunye nobomi bemihla ngemihla.
Izihloko ezigutyungelwe zibandakanya iziseko ezinokwenzeka, ukuguquguquka okungahleliwe kunye nokuhanjiswa kwazo, ukusabalalisa okungafaniyo kunye ne-multivariate, ii-theorems zokukhawulela, kunye ne-Markov chains. Ikhosi ifuna ulwazi lwangaphambili lwecalculus eguquguqukayo enye kunye nokuqhelana nematrices.
Kwabo bakhululekileyo ngesiNgesi kwaye banomdla wokuphonononga ilizwe elinokwenzeka nzulu, olu ngcelele lwezifundo zeHarvard lubonelela ngamathuba okufunda atyebisayo. Unokufikelela kuluhlu lokudlala kunye nemixholo yalo eneenkcukacha ngokuthe ngqo kuYouTube.
Ubunokwenzeka buchaziwe. Ikhosi enemibhalo engezantsi yesiFrentshi (eHarvard)
Ikhosi ethi "Ithuba lokutyeba: Ukunokwenzeka ukusuka kwi-Ground Up," enikezelwa ngu-HarvardX kwi-edX, yintshayelelo enomdla kumathuba kunye namanani. Nangona ikhosi ifundiswa ngesiNgesi, iyafikeleleka kubaphulaphuli abathetha isiFrentshi ngenxa yemibhalo engezantsi yesiFrentshi ekhoyo.
Le khosi yeeveki ezisixhenxe, ifuna iiyure ezi-3 ukuya kwezi-5 zokufunda ngeveki, yenzelwe abo baqalayo ukufunda ukuba kunokwenzeka okanye abafuna uphononongo olufikelelekayo lweekhonsepthi eziphambili phambi kokubhalisa kwikhosi yezibalo. I-“Fat Chance” igxininisa ekuphuhliseni ukucinga ngemathematika kunokunkqaya amagama neefomula.
Iimodyuli zokuqala zazisa izakhono zokubala ezisisiseko, ezithi ke zisetyenziswe kwiingxaki ezilula ezinokwenzeka. Iimodyuli ezilandelayo ziphonononga ukuba ezi mbono kunye nobuchule bunokulungiswa njani ukujongana noluhlu olubanzi lweengxaki ezinokwenzeka. Ikhosi iphetha ngentshayelelo yezibalo ngeengcinga zexabiso elilindelekileyo, umahluko kunye nokuhanjiswa okuqhelekileyo.
Le khosi ilungele abo bafuna ukwandisa izakhono zabo zokuqiqa kunye nokuqonda iziseko zokwenzeka kunye neenkcukacha-manani. Ibonelela ngembono etyebisayo malunga nemo eyongezelekayo yemathematika kunye nendlela esebenza ngayo ekuqondeni umngcipheko nokungakhethi buso.
Ukungeniswa koBalo kunye nokuModeli kuMfuniselo oPhakamileyo (iHarvard)
Ikhosi ye-"Statistical Inference and Modeling for High-throughput Experiments" ngesiNgesi igxininise kwiindlela zobuchule ezisetyenziselwa ukwenza i-statistical inference kwi-high-throughput data. Le khosi yeeveki ezine, ifuna i-2-4 iiyure zokufunda ngeveki, ngumthombo oxabisekileyo kwabo bafuna ukuqonda nokusebenzisa iindlela zamanani eziphambili kwizicwangciso zophando olunzulu.
Inkqubo ihlanganisa izihloko ezahlukeneyo, kubandakanywa ingxaki yokuthelekisa ezininzi, amazinga eempazamo, iinkqubo zokulawula izinga lempazamo, amazinga okufumanisa ubuxoki, amaxabiso e-q, kunye nohlalutyo lwedatha yokuhlola. Ikwazisa imodeli yeenkcukacha-manani kunye nokusetyenziswa kwayo kwidatha ephezulu, ixoxa ngosasazo lweparametric olufana ne-binomial, i-exponential, kunye ne-gamma, kunye nokuchaza uqikelelo olunokwenzeka oluphezulu.
Abafundi baya kufunda ukuba ezi ngqikelelo zisetyenziswa njani kumxholo onjengolandelelwano lwesizukulwana esilandelayo kunye nedatha ye-microarray. Ikhosi ikwabandakanya iimodeli zoluhlu kunye ne-Bayesian empirics, kunye nemizekelo ebonakalayo yokusetyenziswa kwazo.
Le khosi ifanelekile kwabo bajonge ukwenza nzulu ukuqonda kwabo ngeenkcukacha-manani kunye nemodeli kuphando lwesayensi lwanamhlanje. Ibonelela ngembono enzulu kuhlalutyo lweenkcukacha-manani zedatha entsonkothileyo kwaye isisityebi esigqwesileyo kubaphandi, abafundi kunye neengcali kwiinkalo zenzululwazi yobomi, i-bioinformatics kunye nezibalo.
Intshayelelo kuKunokwenzeka (iHarvard)
Ikhosi "Intshayelelo yoKunokwenzeka", enikezelwa nguHarvardX kwi-edX, luphononongo olunzulu lokunokwenzeka, ulwimi oluyimfuneko kunye nesixhobo sokuqonda idatha, ithuba, kunye nokungaqiniseki. Nangona ikhosi ifundiswa ngesiNgesi, iyafikeleleka kubaphulaphuli abathetha isiFrentshi ngenxa yemibhalo engezantsi yesiFrentshi ekhoyo.
Le khosi yeeveki ezilishumi, ifuna iiyure ezi-5-10 zokufunda ngeveki, ijolise ekuziseni ingqiqo kwihlabathi elizaliswe ngamathuba kunye nokungaqiniseki. Iya kubonelela ngezixhobo ezifunekayo ukuqonda idatha, isayensi, ifilosofi, ubunjineli, uqoqosho kunye nezezimali. Awuyi kufunda kuphela indlela yokusombulula iingxaki ezinzima zobugcisa, kodwa kunye nendlela yokusebenzisa ezi zisombululo kubomi bemihla ngemihla.
Ngemizekelo esusela kuvavanyo lwezonyango ukuya kuqikelelo lwezemidlalo, uya kufumana isiseko esiluqilima sophononongo lothelekiso lwamanani, iinkqubo zestochastic, i-algorithms engacwangciswanga, kunye nezinye izihloko apho okunokwenzeka kuyimfuneko.
Le khosi ilungele abo bajonge ukwandisa ukuqonda kwabo ukungaqiniseki kunye nethuba, ukwenza uqikelelo olulungileyo, kunye nokuqonda okuguquguqukayo okungahleliwe. Ibonelela ngembono etyebisayo kunikezelo olunokwenzeka oluqhelekileyo olusetyenziswa kwizibalo nakwisayensi yedatha.
Ikhalculum esetyenzisiweyo (eHarvard)
Ikhosi ye-“Calculus Applied!”, enikezelwa nguHarvard kwi-edX, luphononongo olunzulu lokusetyenziswa kwezibalo ezinoguquko olunye kwezentlalo, ubomi, kunye nenzululwazi yendalo. Le khosi, ngokupheleleyo ngesiNgesi, lithuba elihle kakhulu kwabo bafuna ukuqonda ukuba icalculus isetyenziswa njani kwiimeko zobuchwephesha behlabathi bokwenyani.
Ihlala iiveki ezilishumi kwaye ifuna phakathi kwe-3 kunye neeyure ze-6 zokufunda ngeveki, le khosi ihamba ngaphaya kweencwadi zendabuko. Usebenzisana neengcali ezivela kwiinkalo ezahlukeneyo ukubonisa indlela icalculus esetyenziswa ngayo ukuhlalutya kunye nokusombulula iingxaki zehlabathi lokwenyani. Abafundi baya kuphonononga izicelo ezahlukeneyo, ukusukela kuhlalutyo lwezoqoqosho ukuya kwimodeli yebhayoloji.
Iprogram ibandakanya ukusetyenziswa kwezinto eziphuma kwi-derivatives, integrals, differential equations, kwaye igxininisa ukubaluleka kweemodeli zemathematika kunye neeparamitha. Yenzelwe abo banokuqonda okusisiseko kwe-calculus eguquguqukayo enye kwaye banomdla kwizicelo ezisebenzayo kwiinkalo ezahlukeneyo.
Le khosi ifanelekile kubafundi, ootitshala, kunye neengcali ezijonge ukwenza nzulu ukuqonda kwazo ngecalculus kwaye zifumanise usetyenziso lwayo lwehlabathi lokwenyani.
Intshayelelo yokuqiqa kwemathematika (eStanford)
Ikhosi “yentshayelelo yokuCinga ngeMathematika”, efundiswa yiYunivesithi yaseStanford eCoursera, kukuntywila kwihlabathi lokuqiqa kwemathematika. Nangona ikhosi ifundiswa ngesiNgesi, iyafikeleleka kubaphulaphuli abathetha isiFrentshi ngenxa yemibhalo engezantsi yesiFrentshi ekhoyo.
Le khosi yeeveki ezisixhenxe, ifuna malunga neeyure ezingama-38 zizonke, okanye malunga neeyure ezili-12 ngeveki, yenzelwe abo banqwenela ukuphuhlisa indlela yokucinga yemathematika, ngokwahlukileyo ekuqheliseleni nje imathematika njengoko isoloko iboniswa kwinkqubo yesikolo. Esi sifundo sigxininisa ekuphuhliseni indlela yokucinga “engaphandle kwebhokisi”, isakhono esibalulekileyo kwihlabathi lanamhlanje.
Abafundi baya kuphonononga indlela iingcali zemathematika ezicinga ngayo ukusombulula iingxaki zehlabathi lokwenene, nokuba zivela kwihlabathi lemihla ngemihla, kwisayensi, okanye kwimathematika ngokwayo. Ikhosi inceda ekuphuhliseni le ndlela ibalulekileyo yokucinga, idlulela ngaphaya kweenkqubo zokufunda ukusombulula iingxaki ezibambekayo.
Le khosi ifanelekile kwabo bajonge ukomeleza ukuqiqa kwabo kobungakanani kunye nokuqonda iziseko zokuqiqa kwemathematika. Ibonelela ngembono etyebisayo malunga nemo eyongezelekayo yemathematika nokusetyenziswa kwayo ekuqondeni iingxaki ezinzima.
Ufundo-manani kunye no-R (eStanford)
Ikhosi ye-“Statistical Learning with R”, ebonelelwa nguStanford, yintshayelelo yenqanaba eliphakathi kwimfundo ebekwe esweni, egxile ekubuyeleni umva kunye neendlela zokuhlela. Le khosi, ngokupheleleyo ngesiNgesi, sisixhobo esixabisekileyo kwabo bafuna ukuqonda nokusebenzisa iindlela zobalo kwicandelo lenzululwazi yedatha.
Ithathe iiveki ezilishumi elinanye kwaye ifuna iiyure ezi-3-5 zokufunda ngeveki, ikhosi ibandakanya zombini iindlela zemveli kunye nezichulumancisayo kwimodeli yamanani, kunye nendlela yokuzisebenzisa kulwimi lwenkqubo ye-R. Ikhosi yahlaziywa ngo-2021 kuhlelo lwesibini lwe incwadi yesifundo.
Izihloko ziquka ukuguqulwa komgca kunye ne-polynomial regression, ukuguqulwa kwezinto kunye nokuhlalutya okucaluliweyo, ukuqinisekiswa kwe-cross-validation kunye ne-bootstrapping, ukhetho lwemodeli kunye neendlela eziqhelekileyo (i-ridge kunye ne-lasso), imizekelo engabonakaliyo, i-splines kunye neemodeli ezongezelelweyo ngokubanzi, iindlela ezisekelwe kwimithi, amahlathi angaqhelekanga kunye nokunyusa, Ukuxhasa oomatshini be-vector, iinethiwekhi ze-neural kunye nokufunda okunzulu, iimodeli zokusinda, kunye novavanyo oluninzi.
Le khosi ifanelekile kwabo banolwazi olusisiseko lwezibalo, i-algebra yomgca, kunye nesayensi yekhompyutha, kwaye abafuna ukuqinisa ukuqonda kwabo ukufunda ngezibalo kunye nokusetyenziswa kwayo kwisayensi yedatha.
Uzifunda njani izibalo: Ikhosi yomntu wonke (eStanford)
Ikhosi “yeSifundo seMathematika: yaBafundi”, efundiswa nguStanford. Yikhosi yasimahla ye-intanethi yabafundi bawo onke amanqanaba ezibalo. Ngokupheleleyo ngesiNgesi, idibanisa ulwazi olubalulekileyo malunga nengqondo kunye nobungqina obutsha malunga neendlela ezilungileyo zokufikelela kwimathematika.
Ihlala iiveki ezintandathu kwaye ifuna i-1 ukuya kwiiyure ze-3 zokufunda ngeveki. Ikhosi yenzelwe ukutshintsha ubudlelwane babafundi nemathematika. Abantu abaninzi baye baba namava angalunganga ngezibalo, nto leyo ekhokelela ekuzicaphukiseni okanye ekusileleni. Le khosi ijolise ekunikeni abafundi ulwazi abaludingayo ukuze bayonwabele imathematika.
Kugutyungelwe izihloko ezifana nengqondo kunye nokufunda izibalo. Iintsomi malunga nezibalo, indlela yokucinga, iimpazamo kunye nesantya nazo ziyaqukwa. Ukuguquguquka kwamanani, ukuqiqa ngemathematika, uqhagamshelwano, iimodeli zamanani nazo ziyinxalenye yeprogram. Ukubonakaliswa kweemathematika ebomini, kodwa nakwindalo kunye nasemsebenzini akulibaleki. Ikhosi iyilwe nge-pedagogy yothethathethwano esebenzayo, isenza ukufunda kunxibelelane kwaye kuguquguquke.
Sisixhobo esixabisekileyo kuye nabani na ofuna ukubona imathematika ngokwahlukileyo. Phuhlisa ukuqonda okunzulu nokwakhayo kolu qeqesho. Ifaneleke ngakumbi abo banamava angalunganga kwizibalo kwixesha elidlulileyo kwaye bajonge ukuyitshintsha le mbono.
Ulawulo olunokwenzeka (eStanford)
Ikhosi “yentshayelelo yoLawulo lokunokwenzeka”, enikezelwa nguStanford, yintshayelelo yoqeqesho lolawulo lokwenzekayo. Lo mmandla ugxile ekunxibelelana nasekubaleni ukungaqiniseki ngendlela yeetheyibhile zedatha eziphicothwayo ezibizwa ngokuba yiStochastic Information Packets (SIPs). Le khosi yeeveki ezilishumi ifuna i-1 kwiyure yokufunda ngeveki ye-5. Akungabazeki ukuba ngumthombo oxabisekileyo kwabo bafuna ukuqonda nokusebenzisa iindlela zobalo kwinkalo yesayensi yedatha.
Ikharityhulam yekhosi igubungela izihloko ezifana nokuqaphela "i-Flaw of Average," iseti yeempazamo ezicwangcisiweyo ezivela xa ukungaqiniseki kubonakaliswa ngamanani omnye, ngokuqhelekileyo i-avareji. Icacisa ukuba kutheni iiprojekthi ezininzi zifika emva kwexesha, zidlula kuhlahlo lwabiwo-mali kwaye ziphantsi kohlahlo lwabiwo-mali. Ikhosi ikwafundisa ukungaqiniseki kwe-Arithmetic, eyenza izibalo ngamagalelo angaqinisekanga, okukhokelela kwiziphumo ezingaqinisekanga apho unokubala iziphumo zokwenyani zomndilili kunye namathuba okufikelela kwiinjongo ezichaziweyo.
Abafundi baya kufunda ukwenza ukulinganisa okusebenzisanayo okunokwabelwana naye nawuphi na umsebenzisi we-Excel ngaphandle kokufuna ukongezwa okanye iimacros. Le ndlela ifanelekile ngokulinganayo kwiPython okanye nayiphi na imeko yeprogram exhasa ii-arrays.
Le khosi ilungele abo bakhululekileyo ngeMicrosoft Excel kwaye bajonge ukwenza nzulu ukuqonda kwabo ulawulo lokwenzeka kunye nokusetyenziswa kwayo kwisayensi yedatha.
Inzululwazi yokungaqiniseki kunye neDatha (MIT)
Ikhosi "Inokwenzeka - iSayensi yokungaqiniseki kunye neDatha", enikezelwa yiMassachusetts Institute of Technology (MIT). Yintshayelelo esisiseko kwisayensi yedatha ngokusebenzisa iimodeli ezinokwenzeka. Le khosi ithatha iiveki ezilishumi elinesithandathu, ifuna iiyure ezili-10 ukuya kwezili-14 zokufunda ngeveki. Ihambelana nenxalenye yenkqubo yeMIT MicroMasters kwizibalo kunye nesayensi yedatha.
Le khosi iphonononga ihlabathi lokungaqiniseki: ukusuka kwiingozi kwiimarike zemali ezingalindelekanga ukuya kunxibelelwano. Ukwenziwa komfuziselo okunokwenzeka kunye nenkalo enxulumeneyo yokuthelekelela ngokwamanani. Ngaba izitshixo ezibini zokuhlalutya le datha kunye nokwenza uqikelelo oluvakalayo ngokwesayensi.
Abafundi baya kufumanisa ubume kunye nezinto ezisisiseko zeemodeli ezinokwenzeka. Kubandakanya ukuguquguquka okungahleliwe, ukuhanjiswa kwazo, iindlela kunye nokwahluka. Ikhosi ikwabandakanya iindlela zokucinga. Imithetho yamanani amakhulu kunye nezicelo zabo, kunye neenkqubo ezizenzekelayo.
Le khosi ifanelekile kwabo bafuna ulwazi olusisiseko kwisayensi yedatha. Ibonelela ngembono ebanzi kwiimodeli ezinokwenzeka. Ukusuka kwizinto ezisisiseko ukuya kwiinkqubo ezingaqhelekanga kunye nokuqikelelwa kwamanani. Konke oku kuluncedo kakhulu kwiingcali kunye nabafundi. Ngokukodwa kwiinkalo zenzululwazi yedatha, ubunjineli kunye nezibalo.
Ukuba nokwenzeka koBalo kunye nokuQikelela (MIT)
I-Massachusetts Institute of Technology (MIT) inikezela ngesifundo se-"Computational Probability and Inference" ngesiNgesi. Inkqubo ibandakanya intshayelelo yenqanaba eliphakathi kuhlalutyo olunokwenzeka kunye nokuthelekelela. Le khosi yeeveki ezilishumi elinambini, ifuna iiyure ezi-4 ukuya kwezi-6 ngeveki, luphononongo olunika umdla lwendlela okunokwenzeka ngayo kunye nokuthelekelela ezisetyenziswa kwiindawo ezahlukeneyo njengokucoca i-spam, ukuhamba kwe-bot ehambayo, okanye nakwimidlalo yeqhinga efana ne-Jeopardy kunye ne-Go.
Kule khosi, uya kufunda imigaqo yokwenzeka kunye nokuthelekelela kunye nendlela yokuyiphumeza kwiinkqubo zekhompyuter eziqiqayo ngokungaqinisekanga kwaye wenze uqikelelo. Uya kufunda malunga nolwakhiwo lwedatha olwahlukeneyo lokugcina unikezelo lokwenzeka, njengemifuziselo yegraphical enokwenzeka, kwaye uphuhlise i-algorithms esebenzayo yokuqiqa ngolu luhlu lwedatha.
Ekupheleni kwesi sifundo, uya kukwazi ukuba ungayenza njani imodeli yeengxaki zehlabathi lokwenyani ngokunokwenzeka kunye nendlela yokusebenzisa iimodeli ezineziphumo zokuthelekelela. Awudingi ukuba namava angaphambili kwinto enokwenzeka okanye intelekelelo, kodwa kuya kufuneka ukhululeke ngesiseko senkqubo yePython kunye nokubala.
Le khosi sisixhobo esibalulekileyo kwabo bafuna ukuqonda nokusebenzisa iindlela zobalo kwicandelo lenzululwazi yedatha, ibonelela ngembono ebanzi kwiimodeli ezinokwenzeka kunye nokuthelekelela ngokwamanani.
Kwintliziyo yokungaqiniseki: I-MIT ichaza ukuba kunokwenzeka
Kwikhosi "Intshayelelo kwiCandelo le-II elinokwenzeka: Iinkqubo zokungeniswa", iMassachusetts Institute of Technology (MIT) ibonelela ngokuntywiliselwa okuphambili kwihlabathi lokunokwenzeka kunye nokuthelekelela. Le khosi, ngokupheleleyo ngesiNgesi, kukuqhubela phambili okunengqiqo kwecandelo lokuqala, ukungena nzulu kuhlalutyo lwedatha kunye nesayensi yokungaqiniseki.
Kwithuba leeveki ezilishumi elinesithandathu, kunye nokuzibophelela kweeyure ze-6 ngeveki, le khosi iphonononga imithetho yamanani amaninzi, iindlela ze-Bayesian inference, izibalo zeklasi, kunye neenkqubo ezizenzekelayo ezifana neenkqubo zePoisson kunye namatyathanga eMarkov. Olu luphononongo olungqongqo, olujoliswe kwabo sele benesiseko esiluqilima ngokunokwenzeka.
Le khosi ibalasele ngendlela yayo ecacileyo, ngelixa igcina ubukhali bezibalo. Ayibonisi nje iithiyori kunye nobungqina, kodwa ijolise ekuphuhliseni ukuqonda okunzulu kweekhonsepthi ngezicelo ezibambekayo. Abafundi baya kufunda ukwenza imodeli yeziganeko ezinzima kwaye batolike idatha yelizwe lokwenyani.
Ilungele iingcali zenzululwazi yedatha, abaphandi, kunye nabafundi, le khosi ibonelela ngembono eyodwa malunga nokuba kunokwenzeka njani kunye nokuthelekelela ukuqonda kwethu ihlabathi. Ifanelekile kwabo bajonge ukukhulisa ukuqonda kwabo kwisayensi yedatha kunye nohlalutyo lwamanani.
I-Analytical Combinatorics: Ikhosi yePrinceton yokuCinga iZakhiwo eziNxibelele (Princeton)
Ikhosi ye-Analytic Combinatorics, enikezelwa yiYunivesithi yasePrinceton, luphononongo olunomdla lwe-combinatorics yohlalutyo, uqeqesho oluvumela uqikelelo oluchanekileyo lobungakanani bezakhiwo ezidityanisiweyo ezintsonkothileyo. Le khosi, iphelele ngesiNgesi, sisixhobo esixabisekileyo kwabo bafuna ukuqonda nokusebenzisa iindlela eziphucukileyo kwicandelo lee-combintorics.
Ihlala iiveki ezintathu kwaye ifuna malunga neeyure ze-16 zizonke, okanye malunga neeyure ze-5 ngeveki, le khosi yazisa indlela yomfuziselo yokufumana ubudlelwane obusebenzayo phakathi kwemisebenzi eqhelekileyo, ecacileyo, kunye ne-multivariate yokuvelisa. Ikwaphonononga iindlela zohlalutyo oluntsonkothileyo lokufumana ii-asymptotics ezichanekileyo kwii-equations zemisebenzi yokuvelisa.
Abafundi baya kufumanisa ukuba i-combinatorics yohlalutyo ingasetyenziswa njani ukuqikelela amanani achanekileyo kwizakhiwo ezinkulu zokudityaniswa. Baya kufunda ukuxhaphaza izakhiwo ezidibeneyo kwaye basebenzise iindlela zokuhlalutya ezinzima ukuhlalutya ezi zakhiwo.
Le khosi ilungele abo bajonge ukuqinisa ukuqonda kwabo i-combinatorics kunye nokusetyenziswa kwayo ekusombululeni iingxaki ezinzima. Ibonelela ngembono eyodwa malunga nendlela i-combintorics yohlalutyo ibumba ukuqonda kwethu kwezibalo kunye nezakhiwo ezidibeneyo.