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22cs300 [2022-06-20] – Lecture Hall Martin Ziegler22cs300 [2022-11-01] (current) – Martin Ziegler
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 Lecturer: Martin Ziegler Lecturer: Martin Ziegler
  
-Lecture hall: TBD+Lecture location: E11 //Terman Hall// / online
  
 Schedule: Tuesdays and Thursdays, 10:30am to 12:00 KST Schedule: Tuesdays and Thursdays, 10:30am to 12:00 KST
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 Language: English __only__ (except for students discussing in KLMS) Language: English __only__ (except for students discussing in KLMS)
  
-Teaching Assistants: TBD+Teaching Assistants: Lwam Araya, Sookyung Han, Sujeong Lim, Abbas Mammadov, Jinyoung Oh, Mingi Shin, Biniyam Aschalew Tolera
  
 Office hours: TBD Office hours: TBD
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 Quiz: On randomly selected sessions we will perform a short online quiz. Quiz: On randomly selected sessions we will perform a short online quiz.
  
-Grading: TBD+Recommended background: CS204 (Discrete Mathematics), CS206 (Data Structures)
  
-Retakers admitted to improve grades C-,D,F; not to improve grades C0 and C+. 
  
-Recommended background: CS204 (Discrete Mathematics), CS206 (Data Structures)+===== Philosophy/Pedagogy ===== 
 + 
 +Education is a Human Right, not a competition. \\
  
-Philosophy: Education is a Human Right, not a competition. \\ 
 This course aims //beyond//, and takes for granted students mastering, the __first__ level of [[https://cft.vanderbilt.edu/guides-sub-pages/blooms-taxonomy/|Bloom's Hierarchy of cognitive learning]]. This course aims //beyond//, and takes for granted students mastering, the __first__ level of [[https://cft.vanderbilt.edu/guides-sub-pages/blooms-taxonomy/|Bloom's Hierarchy of cognitive learning]].
  
-====== Homework/Assignments: ======+Each chapter (see #syllabus) below deliberately starts very easy and then grows to more involved aspects and ends with cross promotion to advanced topics covered by separate lectures. 
 + 
 +===== Homework/Assignments: =====
  
 Receptive learning and reproductive knowledge do not suffice for thorough understanding. Hence, for students' convenience, we will regularly offer homework assignments, both theoretically and practically; and encourage working on them by having a random selection of them enter into the final grade. \\ Receptive learning and reproductive knowledge do not suffice for thorough understanding. Hence, for students' convenience, we will regularly offer homework assignments, both theoretically and practically; and encourage working on them by having a random selection of them enter into the final grade. \\
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 ===== Synopsis/Syllabus: ===== ===== Synopsis/Syllabus: =====
  
-  - {{ :22cs300a.ppt |Motivation}}+  - Introduction ({{ :22cs300a.pdf |pdf}},{{ :22cs300a.ppt |ppt}}) 
 +    * Hierarchy of Abstraction
     * Virtues of Computer //Science//:     * Virtues of Computer //Science//:
     * Problem specification     * Problem specification
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     * Recurrences and the //Master Theorem//     * Recurrences and the //Master Theorem//
     * Polynomial Multiplication: Long, Karatsuba, Toom, Cook     * Polynomial Multiplication: Long, Karatsuba, Toom, Cook
-  - Searching ({{ :22cs300b.pdf |pdf}},{{ :22cs300b.ppt |ppt}})+  - Searching ({{ :22cs300b.pdf|pdf}},{{ :22cs300b.ppt|ppt}})
     * Linear Search     * Linear Search
     * Binary Search     * Binary Search
     * Uniqueness     * Uniqueness
     * Hashing     * Hashing
-    * Median/Quantiles+    * Median/Order Statistics 
 +    * Approximate/Linear-Time
     * 1D Range Counting     * 1D Range Counting
-    * 2D Range Counting +    * 2D/3D Range Counting 
-  - Sorting ({{ :22cs300c.pdf |pdf}},{{ :22cs300c.ppt |ppt}})+    * Range Reporting 
 +  - Sorting ({{ :22cs300c.pdf|pdf}},{{ :22cs300c.ppt|ppt}})
     * Bubble Sort     * Bubble Sort
     * Selection Sort     * Selection Sort
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     * Merge Sort     * Merge Sort
     * Quicksort     * Quicksort
-    * {{ :median.pdf|Linear-Time Median}}+    * Linear-Time Median revisited
     * Optimality of Sorting     * Optimality of Sorting
     * Counting Sort     * Counting Sort
     * Radix Sort     * Radix Sort
     * Sorting in Parallel     * Sorting in Parallel
-  - Data ({{ :22cs300d.pdf |pdf}},{{ :22cs300d.ppt |ppt}})+  - Data ({{ :22cs300d.pdf|pdf}},{{ :22cs300d.ppt|ppt}})
     * Hardware vs. Mathematical     * Hardware vs. Mathematical
     * Logical Structures = Abstract Data Types     * Logical Structures = Abstract Data Types
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     * (Balanced) Search Trees     * (Balanced) Search Trees
     * AVL Trees     * AVL Trees
-  - Graphs ({{ :22cs300e.pdf |pdf}},{{ :22cs300e.ppt |ppt}})+  - Graphs ({{ :22cs300e.pdf|pdf}},{{ :22cs300e.ppt|ppt}})
     * Recap on Graphs: un/directed, weighted     * Recap on Graphs: un/directed, weighted
     * Connectedness     * Connectedness
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   * homework assignment #0 and honor code will be uploaded on KLMS.   * homework assignment #0 and honor code will be uploaded on KLMS.
-  * [[https://klms.kaist.ac.kr/course/view.php?id=XXX|KLMS]]  +  * [[https://klms.kaist.ac.kr/course/view.php?id=140297|KLMS]]  
-  * [[https://kaist.elice.io/courses/XXX|ELICE]] +  * [[https://kaist.elice.io/courses/30277|ELICE]] 
   * [[https://www.youtube.com/playlist?list=PLvcvykdwsGNF9nmJpwXJklSCzstnFlNik|YouTube]]   * [[https://www.youtube.com/playlist?list=PLvcvykdwsGNF9nmJpwXJklSCzstnFlNik|YouTube]]
   * [[https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-046j-introduction-to-algorithms-sma-5503-fall-2005|MIT OpenCourseware]]   * [[https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-046j-introduction-to-algorithms-sma-5503-fall-2005|MIT OpenCourseware]]
   * Due to the large number (>300) of students enrolled, we unfortunately cannot answer questions by email. \\ Instead please use the KLMS Bulletin Board or visit the TAs during their office hours.   * Due to the large number (>300) of students enrolled, we unfortunately cannot answer questions by email. \\ Instead please use the KLMS Bulletin Board or visit the TAs during their office hours.
   * We use [[https://kahoot.it/|KAHOOT!]], so please install the app on your [[https://play.google.com/store/apps/details?id=no.mobitroll.kahoot.android|Android]] or [[https://itunes.apple.com/app/apple-store/id1131203560|Apple]] smartphone   * We use [[https://kahoot.it/|KAHOOT!]], so please install the app on your [[https://play.google.com/store/apps/details?id=no.mobitroll.kahoot.android|Android]] or [[https://itunes.apple.com/app/apple-store/id1131203560|Apple]] smartphone