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諗住到美國升學想問應該如何比較各校專業ga 課程?

諗住到美國升學想問應該如何比較各校專業ga 課程? E-mail 此主題給朋友

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暫時諗住UCSD applies Math
UCSB applies statistics
Cal state Poly Statistic
都係加洲
都上網睇過課程大鋼, ucsb 同 Cal state Poly 好似更加實用而ucsd ga applied math 好似好多analysis.



熱賣及精選
At the undergrad level, it does not really matter. If you want to pursue a stat/applied math/data science type career, a BS is not enough anyway. For something like math & stat, go with the program that provides more in-depth analysis. Being applied is easy ... once you have a deep understanding.


Typically, in a large research school like the UC and balance school like Cal State, teaching quality varies a great deal. You can get professors who consult with industry who has a lot of practical experiences. You can get PhD students who does not care, and anything in between.


Disclaimer: I do teach undergrad intro to stat but also PhD/master analytics. To give you a sense of how it works ... teaching is not even my main job. Research is. 



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所以Ching 建議讀返好理論?


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原帖由 22point 於 2019-8-14 12:53 AM 發表

所以Ching 建議讀返好理論?
Only if you have the aptitude for it. It is a personal decision. Some internalize math easily and some cannot even working very hard.



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引用:
原帖由 narius 於 2019-8-14 02:41 AM 發表



Only if you have the aptitude for it. It is a personal decision. Some internalize math easily and some cannot even working very hard.
因為我沒味讀upper division ga數都沒咩經驗, 所以我知我就算睇左個幾間學校個大鋼都唔會有好深入理解,真係要有讀過數ga Ching 幫手比較下先知



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原帖由 22point 於 2019-8-13 04:56 PM 發表

暫時諗住UCSD applies Math
UCSB applies statistics
Cal state Poly Statistic
都係加洲
都上網睇過課程大鋼, ucsb 同 Cal state Poly 好似更加實用而ucsd ga applied math 好似好多analysis. ...
望左眼UCSD同UCSB既syllabus, 兩者之間, 如果唔太驚analysis既建議揀UCSD.
與其讀晒全部stat, 個人推薦讀多少少applied math in additional to stat, e.g. numerical, optimization, and some CS stuffs too. 個底闊D之後選擇多D.

另, https://www.ucsd.edu/catalog/curric/MATH-ug.html
analysis都係兩件, 講唔上多.



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原帖由 竹劍 於 2019-8-14 07:14 AM 發表


另, https://www.ucsd.edu/catalog/curric/MATH-ug.html
analysis都係兩件, 講唔上多.
Plus, those are just intro/foundation kind of classes. A student really needs to be able to handle that to pursue a STEM career.

I will give an example. While in real data science type work, particular in practice, it is probably very rare that you have to prove convergence, theoretically. It is, however, not entirely uncommon to use the idea of convergence in numerical algorithms. As such, understanding the topic, from a theoretical point of view, allows one to internalize and develop the right intuitions and that helps to figure out how to apply.

Again, none of this is very difficult. You won't  be asked to prove a previously unknown form of fixed point theorem. As we say in science, knowing that something can be done is 90% of the battle.



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原帖由 竹劍 於 2019-8-14 07:14 AM 發表


望左眼UCSD同UCSB既syllabus, 兩者之間, 如果唔太驚analysis既建議揀UCSD.
與其讀晒全部stat, 個人推薦讀多少少applied math in additional to stat, e.g. numerical, optimization, and some CS stuffs too. 個底闊D之後選擇多D.

另,https://www.ucsd. ...
唔該晒Ching 你唔講我都沒留意ucsb 個statistics 好似沒analysis



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原帖由 竹劍 於 2019-8-14 07:14 AM 發表


望左眼UCSD同UCSB既syllabus, 兩者之間, 如果唔太驚analysis既建議揀UCSD.
與其讀晒全部stat, 個人推薦讀多少少applied math in additional to stat, e.g. numerical, optimization, and some CS stuffs too. 個底闊D之後選擇多D.

另,https://www.ucsd. ...
Ching 你唔係第一個咁講, 問過一d師兄佢地都話讀多少少數好過讀晒stat course 但佢地又沒講原因



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引用:
原帖由 22point 於 2019-8-14 12:27 PM 發表


Ching 你唔係第一個咁講, 問過一d師兄佢地都話讀多少少數好過讀晒stat course 但佢地又沒講原因
無論你第日係搞AI, 定係做data scientist, statistician, 還係去搞quant做fintech都好,
齋讀stat都唔夠. math and cs are also necessary. (subject domain knowledge可以靠minor或者master再搞)

咁係因為除左要知點搞(model) D data (stat),
都仲要知道個model係點計(numerical solution and optimization), 同埋點先計得快(CS algo and etc), 同後面既數學基礎 (mathematical foundation)



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UCSD applied math should be your choice.

If you want to study statistics/econometrics as a minor, UCSD also has good reputation and tradition as the late Professor Sir Clive Granger and Professor Robert Engel (now teaches at NYU) used to be 權威 in applied statistics and econometric models. Many of their 高足 still teaches and do research in statistics/econometrics at UCSD now.



I had the honour to meet with both Professor Granger and Professor Engel and learnt a lot from them in the past.


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原帖由 Pakfah 於 2019-8-14 07:35 PM 發表

UCSD applied math should be your choice.

If you want to study statistics/econometrics as a minor, UCSD also has good reputation and tradition as the late Professor Sir Clive Granger and Professor R ...
想問Ching 個陣係咩major ?係咪ucsd 畢業生?



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I never study at UCSD. Just want to show you if you really care about what you study, you should do more in depth research about the universities you wish to go.

UCSD is a great school within the UC system. Many Nobel Prize winners are from UCSD.

Current Faculty Nobel Laureates
Harry Markowitz, Economic Sciences, 1990.
Paul Crutzen, Chemistry, 1995.
Mario J. Molina, Chemistry, 1995.
Robert Engle, Economic Sciences, 2003.
Intergovernmental Panel on Climate Change (IPCC), Nobel Peace Prize, 2007.
Roger Tsien, Chemistry, 2008.



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