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6.047/6.878 Lecture 1 - Introduction (Fall 2020) 

Manolis Kellis
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21 окт 2024

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Комментарии : 17   
@joehua2580
@joehua2580 4 года назад
thank you professor for making this public , after watching you and Lex's podcast I was amazed that how clearly you can explain very high level concepts for average people to understand.
@xmathmanx
@xmathmanx 4 года назад
I was going to say the exact same thing 😊
@nspranav
@nspranav 2 года назад
Hi. What podccast are you reffering to?
@gabriellovate
@gabriellovate 3 года назад
Thank you for the amazing lecture! What is the best way to have access to the problem sets? In Stellar the files cannot be accessed by someone without a MIT login. Have problem sets changed since the 2015 sessions, which are available on MIT OCW website?
@gianluccacolangelo6543
@gianluccacolangelo6543 3 месяца назад
Has anyone got access to the problem sets?
@alexandrefalcaoaderne8822
@alexandrefalcaoaderne8822 4 года назад
Parabéns pela disponibilidade do curso professor...... Grato!!!
@Hydrohelios
@Hydrohelios 3 года назад
Thank you very much for the whole series of lectures Dr Kellis ! Such an amazing opportunity to expand our knowledge. Ευχαριστούμε !
@nafismostafa4859
@nafismostafa4859 3 года назад
Thank you so much Professor Kellis!
@gudaguda5299
@gudaguda5299 6 месяцев назад
Should 1:19:00 be post-translational modifications?
@HsienMingChan
@HsienMingChan 4 года назад
Great course, thank u Prof Kellis!
@Delvaist
@Delvaist 3 года назад
Thank you Prof. Kellis! 🙏🏽🙏🏽🙏🏽🙏🏽👏🏽👏🏽👏🏽🎉
@ai-ur5uv
@ai-ur5uv 4 года назад
thanks for the amazing video
@weitingLin66
@weitingLin66 4 года назад
Thank for sharing!
@mathiasrennochaves3533
@mathiasrennochaves3533 3 года назад
Thanks for sharing! I would like to know what's the mathematics background needs to takes this course? In the lecture was present a bit vaguely. It would be really helpful an description more precise. Thanks again!
@ManolisKellis1
@ManolisKellis1 3 года назад
The beauty of online material is that you can look up necessary Math, CS, and Bio as needed, look terms up, and brush up on foundations, so you can attempt courses that are beyond your pre-reqs, and fill them in as you go. For in-person synchronous teaching, we ask for Algorithms, Probabilities, Programming, and Intro Bio as pre-reqs
@richardpetitadjakonor8596
@richardpetitadjakonor8596 4 года назад
thank you sir
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