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MCA 301: Design and Analysis of Algorithms Instructor Neelima Gupta ngupta@cs.du.ac.in
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Table of Contents About the course Mathematical Induction Asymptotic Notation
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Assumption/ Pre-requisite Some exposure to –Algorithm development - at least sorting and searching –Growth Functions: The Big O, Omega and Theta Notations –Mathematical Induction –Solving recurrence relations We will review these topics but will go a little fast … Those who do not have this background are requested to work harder in the initial weeks and come at par with the rest
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The Course Purpose: a rigorous introduction to the design and analysis of algorithms –Not a lab or programming course –Not a math course, either Textbook: –Introduction to Algorithms, Cormen, Leiserson, Rivest, Stein, second edition, a good book you must have in your library –Introduction to Algorithms : Saara Base The course involves a lot of self-study. Off n On topics will be given for self-study which will be part of syllabus for exams.
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The Course Format –Three lectures/week –Two groups of Tutorials (details will follow) –Homework most weeks Problem sets Maybe occasional programming assignments –Two Minors + one final exam(Major)
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Grading policy –Homework Assignment : 15% –Minor 1: 15% –Minor 2: 15% –Major : 50% –Attendance : 5%
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Tutorial Group 1 : Roll No 1-15, Group leader – Roll No 1 Group 2 : Roll No 16-30, Group leader – Roll No 16 Group Leaders can be changed/rotated, if the need be Tute 1– students doubts will be taken Tute 2– a problem will be given to be solved. This will be graded, to be counted under homework assignment. Sometimes the problem/s may be given for home, but that ’ s only my decision.. No request will be granted in this regard. To be able to stick to timings.. I would request you to collect your doubts and mail to your group leader who will collect similar problems into one and mail the final list to me a day before at ngupta@cs.du.ac.in, FAILING which your doubts will not be taken up in the tutorial class.ngupta@cs.du.ac.in
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ALL THE BEST
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