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25cs500 [2025-04-12] – [Administration:] Martin Ziegler25cs500 [2025-06-26] (current) – [Syllabus/Slides] Martin Ziegler
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 ==== Syllabus/Slides ==== ==== Syllabus/Slides ====
 +
 +This course (pun) introduces "appetizer" chapters 
 +on some of the many topics in contemporary //Algorithm Design and Analysis//: \\
 +as an overview and to make you "hungry" for later perhaps pursuing a PhD in this field. \\
 +
 0.  Summary ({{:cs500z.ppt|PPT}}, {{:cs500z.pdf|PDF}}) \\ 0.  Summary ({{:cs500z.ppt|PPT}}, {{:cs500z.pdf|PDF}}) \\
 1.  Introduction  ({{:cs500a.ppt|PPT}}, {{:cs500a.pdf|PDF}}) \\ 1.  Introduction  ({{:cs500a.ppt|PPT}}, {{:cs500a.pdf|PDF}}) \\
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 5. Randomized/Expected Analysis  ({{:cs500e.ppt|PPT}}, {{:cs500e.pdf|PDF}}) \\ 5. Randomized/Expected Analysis  ({{:cs500e.ppt|PPT}}, {{:cs500e.pdf|PDF}}) \\
 3. Average-Case Analysis ({{:cs500c.ppt|PPT}}, {{:cs500c.pdf|PDF}}) \\ 3. Average-Case Analysis ({{:cs500c.ppt|PPT}}, {{:cs500c.pdf|PDF}}) \\
-2. Tree Data Structures ({{:cs500b.ppt|PPT}}, {{:cs500b.pdf|PDF}}) \\ 
-4. Amortized Analysis ({{:cs500d.ppt|PPT}}, {{:cs500d.pdf|PDF}}) \\ 
 6. Online/Competitive Analysis ({{:cs500f.ppt|PPT}}, {{:cs500f.pdf|PDF}}) \\ 6. Online/Competitive Analysis ({{:cs500f.ppt|PPT}}, {{:cs500f.pdf|PDF}}) \\
-7. P/NP Intermission ({{:cs500g.ppt|PPT}}, {{:cs500g.pdf|PDF}}) \\ +8. Approximation  ({{:cs500h.ppt|PPT}}, {{:cs500h.pdf|PDF}})
-8. Approximation  ({{:cs500h.ppt|PPT}}, {{:cs500h.pdf|PDF}}) \\ +
 ==== E-Learning: ==== ==== E-Learning: ====
   * [[https://klms.kaist.ac.kr/course/view.php?id=169186|KLMS]]   * [[https://klms.kaist.ac.kr/course/view.php?id=169186|KLMS]]