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課程名稱 |
數量方法入門
Introduction to Quantitative Methods |
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開課學期 |
111-1 |
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授課對象 |
社會科學院 經濟學研究所 |
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授課教師 |
朱玉琦 |
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課號 |
ECON7009 |
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課程識別碼 |
323EM0500 |
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班次 |
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學分 |
2.0 |
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全/半年 |
半年 |
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必/選修 |
必修 |
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上課時間 |
第1,2,3 週
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上課地點 |
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備註 |
本課程以英語授課。密集課程。碩博一必修課的先修課。8/10~8/31每週一三五14:20~17:20,遠距授課，實體考試。
限碩士班以上 或 限博士班
總人數上限：80人 |
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課程簡介影片 |
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核心能力關聯 |
核心能力與課程規劃關聯圖 |
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課程大綱
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為確保您我的權利,請尊重智慧財產權及不得非法影印
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課程概述 |
This is a mathematical analysis course for doctoral and master students in economics. The course is designed for students with insufficient math background but are required to take 3 core courses in graduate-level in the coming semester. I do not ask too much of your math skills, although some familiarity in calculus and linear algebra are expected.
The material includes basic concepts in set theory, real analysis, convexity and optimization. Given the time constraint, the focus of the course is not to have an extensive coverage of mathematical concept and theorem, but rather to give you a decent training in abstract reasoning and theorem proving and focus on its applications in economics. |
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課程目標 |
You need to take two on-site, closed-book exams. The classroom will be announced later. The midterm exam (50 $\%$) is on 8/19, 2:20 pm to 5:20 pm, and the final exam (50 $\%$) is on 9/1, 2:20 pm to 5:20 pm. To prepare for exams, you will need to memorize all definitions, theorems and proofs covered in class.
You will pass the course if you obtain more than 40 $\%$ out of 100 $\%$. Your final grade depends on how you did compared to others in class. I will give 10 $\%$ A+, 15 $\%$ A, 25 $\%$ A-, 25 $\%$ B+
, 15 $\%$ B, and 10 $\%$ B-. |
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課程要求 |
待補 |
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預期每週課後學習時數 |
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Office Hours |
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指定閱讀 |
A First Course in Optimization Theory} by Rangarajan K. Sundaram |
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參考書目 |
待補 |
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評量方式
(僅供參考) |
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