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AI Trends in Creative Operations 2024 by Artwork Flow.pdf
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大學修課規劃(暫定)
1.
大方向:提升自我競爭力以申請國外經博;但仍需保留適當彈性,對金融業也要適 度了解以及培養相關的能力。 大二 (應用數學系)微積分8學分 (應用數學系)線性代數6學分 (應用數學系)機率論6學分 (一學年)個體經濟學6學分 (一學年)總體經濟學6學分 (一學年)貨幣銀行學6學分 ETP大二課程6學分 大學英文(三)/天文算術幾何/核心通識 如果大二高微採取「微積分基礎加強&OCW先修」的模式 → 用 Courant
或 Apostol 的書 → 不會像大二直接修高微會有成績壓力,也可以分攤大三的壓力 選課優先順序:應數系三門 > 個體、貨銀 > 總體、ETP > 通識類 總體如果剩餘時段沒有教得好的老師,就改大三修→補通識 大二學分考慮到可能還有調酒社、CCT、管理顧問社 → 以不超過25學分為原 則 如果有剩餘可利用的時間 → 高等微積分、R & Matlab & Python 另外數理統計學要不要修統計系的,看大二下的數統(一)的開課情況去衡量大三 衝堂可能性
2.
大三 (應用數學系)高等微積分8學分 (應用數學系)微分方程6學分 (統計系/應數系/經濟系)數理統計學6學分 (統計系)迴歸分析3學分 (統計系)時間序列分析3學分 (統計系)多變量分析3學分 (經濟系)財政學6學分 (經濟系)經濟思想史4學分 ETP大三課程6學分 核心通識 看迴歸分析/時間數列分析的開課狀況 → 亦可以考慮計量經濟學6學分 把高微
& 微分方程修掉(但到時候還是參考排課狀況, 亦可優先考慮一些碩班的課) 視大二把高微分攤到什麼程度,來決定學分數 但基本上還是以不超過 25 學分為原則 → 優先解決體育課/服務課/核心通識
3.
大四 (應用數學系)高等機率論3學分 (應用數學系)隨機過程3學分 (統計系)高等數理統計學6學分 (經濟系)國際金融2學分 (經濟系)國際貿易2學分 解決剩餘畢業學分 高等機率論、隨機過程、高等數理統計學,這三門只是暫訂的目標,因不確定未來 發展的研究方向會不會需要。 亦可考慮先修碩班的個體、總體。 幾個需要摸索並影響到修課的問題: 科技部大專生專題研究計畫,大三 or 大四? 考慮先念台大經研所,再出國? 大專生專題研究計畫
: 大三做,大四無論申請國內研究所還是國外研究所,都可以減輕負擔。 大四做,基礎知識已經完備,量化分析能力也有基礎,能做比較深入的議題。 考慮台大經研所,再出國? 那其實可以大三、大四先把大學學分完成,加上修碩般的個體總體;高微可以挪到 大四,高等機率論、隨機過程、高等數理統計等等都可以研究所再修。 大三、大四也比較有機會嘗試看看實習、金融競賽,或許我對金融業的研究領域亦 有興趣只是現在還是霧裡看花。
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