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Biomathematics Course
Ithute thata ya biomathematics mo tlhokomelong ya botsogo ka Khoso ya rona e e tletseng ya Biomathematics. E diretswe batho ba ba dirang mo tlhokomelong ya botsogo, khoso e e tsenelela mo go direng dipopego tsa malwetse a a tshelanwang, e sekaseka metheo ya epidemiology, popego ya SIR, le tlhaloso ya diparameter. Ithute go dirisa dipopego tsa mmetse go laola malwetse ka botswerere, go akaretsa go enta le go katogana mo bathong. Tokafatsa bokgoni jwa gago mo ponatshegelong ya data, go bega ka saense, le didirisiwa tsa simulation jaaka Python le R. Godisa bokgoni jwa gago mme o dire ditshwetso tse di nang le tshedimosetso mo botsogong jwa setshaba gompieno.
- Ithute metheo ya epidemiology: Tlhaloganya dikgopolo tsa botlhokwa tsa malwetse a a tshelanwang.
- Dirisa dipopego tsa SIR: Dirisa dipopego tsa mmetse go bonela pele malwetse.
- Sekaseka data ka matlho: Tlhama le go tlhaloganya dikgopolo tsa bolwetse ka botswerere.
- Tlhabolola maano a go tsena gare: Dira ditsela tse di mosola tsa go laola malwetse.
- Kwala dipego tsa saense: Tlhagisa diphitlhelelo ka phepafalo le tlhamalalo.
from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Ithute thata ya biomathematics mo tlhokomelong ya botsogo ka Khoso ya rona e e tletseng ya Biomathematics. E diretswe batho ba ba dirang mo tlhokomelong ya botsogo, khoso e e tsenelela mo go direng dipopego tsa malwetse a a tshelanwang, e sekaseka metheo ya epidemiology, popego ya SIR, le tlhaloso ya diparameter. Ithute go dirisa dipopego tsa mmetse go laola malwetse ka botswerere, go akaretsa go enta le go katogana mo bathong. Tokafatsa bokgoni jwa gago mo ponatshegelong ya data, go bega ka saense, le didirisiwa tsa simulation jaaka Python le R. Godisa bokgoni jwa gago mme o dire ditshwetso tse di nang le tshedimosetso mo botsogong jwa setshaba gompieno.
Elevify advantages
Develop skills
- Ithute metheo ya epidemiology: Tlhaloganya dikgopolo tsa botlhokwa tsa malwetse a a tshelanwang.
- Dirisa dipopego tsa SIR: Dirisa dipopego tsa mmetse go bonela pele malwetse.
- Sekaseka data ka matlho: Tlhama le go tlhaloganya dikgopolo tsa bolwetse ka botswerere.
- Tlhabolola maano a go tsena gare: Dira ditsela tse di mosola tsa go laola malwetse.
- Kwala dipego tsa saense: Tlhagisa diphitlhelelo ka phepafalo le tlhamalalo.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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