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本課程介紹基礎電腦演算法 (Algorithm)之各種方法與技巧,包含: 排序、搜尋、基礎資料結構、遞迴方程式、演算法符號介紹、函數大小分類、圖學演算法、各個擊破策略(Divide & Conquer)回溯演算法策略(Backtracking)、八皇后問題、河內塔問題、動態規劃(Dynamic Programming)、DNA序列比對演算法、線性規劃(Linear Programming)、貪婪演算法(Greedy)、統計學習演算法、強化學習理論(Reinforcement Learning)、0-1背包問題、漢米爾頓路徑問題、動態時序扭曲演算法(Dynamic Time Warping)、NP-Completeness問題分析、計算理論與有限狀態自動機理論、訊息理論、Komogorov複雜度、隨機演算法、平行分散式演算法等。
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