Algorithm Analysis and Design

Algorithm Analysis and Design

Algorithm Analysis and Design


The main purpose of this course is to provide students with analysis as well as designing techniques of algorithms. Designing techniques include recursive, devide and conqure, greedy, dynamic programming, and back tracking. Also, Exploring algorithms for graphs and trees are included in the topics of this course.

Text Books
1. Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, and Clifford Stein (CLRS): Introduction to Algorithms, 3rd edition.

Grading
Midterm = 35%
Final = 50%
Exercises = 20%

Tentative Schedule

Date Syllabus Readings Assignmenets
Sat,
  01 - 07 - 91
[No Class]
Sat,
  02 - 07 - 91
Overview Class notes
  Ch 2.2
Sat,
  08 - 07 - 91
Complexity analysis
  (non-recursive algorithms)
Class notes
  Ch 2.2
Sun,
  09 - 07 - 91
Assymptotic notations Ch 3.1
  Ch 3.2
Sat,
  15 - 07 - 91
Recursive algorithms Class notes
Sun,
  16 - 07 - 91
Solving recursive relations Class notes
Sat,
  22 - 07 - 91
Complexity analysis for
  recursive algorithms 1
Class notes
  Ch 4.3
Sun,
  23 - 07 - 91
Complexity analysis for
  recursive algorithms 2
Ch 4.4
  Ch 4.5
HW1
Sat,
  29 - 07 - 91
Divide and conqure methods 1 Ch 2.3, Ch 12.1, Ch 12.2
Sun,
  30 - 07 - 91
Divide and conqure methods 2 Ch 7.1, Ch 7.2, Ch 7.4, Ch 4.1
Sat,
  06 - 08 - 91
Divide and conqure methods 3 Ch 4.3, Ch 9
Sun,
  07 - 08 - 91
Divide and conqure methods 4
Sat,
  13 - 08 - 91
[ Holiday ]
Sun,
  14 - 08 - 91
Greedy algorithms 1 Ch 16.1, Ch 16.2 , 16.3
Sat,
  20 - 08 - 91
Greedy algorithms 2 Ch 23, Ch 24, Ch 25
Sun,
  21 - 08 -91
Greedy algorithms 3
Sat,
  27 - 08 - 91
Dynamic programming 1 Ch 6.1
Sun,
  28 - 08 - 91
Dynamic programming 2 Ch 6.2
Sat,
  04 - 09 - 91
[ Holiday ]
Sun,
  05 - 09 - 91
[ Holiday ]
Sat,
  11 - 09 - 91
Dynamic programming 3 Ch 7.1
Sun,
  12 - 09 - 91
Searching algorithms Ch 7.2
Sat,
  18 - 09 - 91
Exploring algorithms Ch 7.3, Ch 7.4
Sun,
  19 - 09 - 91
Backtracking 1 Ch 8.1
Sat,
  25 - 09 - 91
Backtracking 2 Ch 8.1
  Ch 8.2
Sun,
  26 - 09 - 91
Midterm Exam Syllabuses before Sat, 13 - 08 - 91
Sat,
  02 - 10 - 91
Advanced data structures Ch 9.2, Ch 9.3
Sun,
  03 - 10 - 91
NP problems Ch 11
Sun,
  20 - 10 - 91
Final Exam After the midterm Exam Sample 1
  Exam Sample 2
  Exam Sample 3
 
Exam Sample 4
  Exam Sample 5

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