Design and Analysis of Algorithms Spring 2017

Course Information

Class Timing Tue-Wed 2:30PM – 4:00PM in LT5
T.A Hours Monday and Wednesday 01:00PM – 2:30PM in Data Science Lab
Pre-requisites Knowledge of basic concepts in mathematics and data structures is assumed (e.g. sets, functions, probability, proof by induction, permutations, logarithms, and the basics of solving recurances, graphs, trees).
Required text Sanjoy Dasgupta, Christos Papadimitriou, Umesh Vazirani Algorithms
Reference text Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, Clifford Stein Introduction to Algorithms

— Bulletin Board —

Date News
Jan 31 Here is the Lecture#1
Feb 02 Here is the Homework#1
Feb 08 Here is the Homework#1 Solution
Feb 10 Here is the Lecture#3 and Lecture#4 notes.
Feb 17 Here is the Lecture#5 and Lecture#6 notes.
Feb 23 Here is the Quiz_1 and Quiz_2 Solutions.
Feb 24 Here is the Quiz_3 and Quiz_4 Solutions.
Feb 25 Here is the Lecture_7 and Lecture_8 Notes.
Feb 28 Here is the Quiz_5 and Quiz_6 Solutions.
Mar 06 Here is the Lecture_9 and Lecture_10 Notes.
Mar 10 Here is the Quiz_7 and Quiz_8 Solutions.
Mar 13 Here is the Lecture_11 and Lecture_12 Notes.
Mar 16 Here is the Quiz_9 and Quiz_10 Solutions.
Mar 20 Here is the Quiz_11 and Quiz_12 Solutions.
April 05 Here is the Quiz_13 and Quiz_14 Solutions.
April 10 Here is the Lecture#17 and Lecture#18 notes.
April 17 Here is the Lecture#19 and Lecture#20 notes.
April 19 Here is the Quiz_15 and Quiz_16 Solutions.
April 24 Here is the Lecture#21 and Lecture#22 notes.
April 28 Here is the Quiz_17 and Quiz_18 Solutions.
May 05 Here is the Quiz_19 and Quiz_20 Solutions.
May 08 Here is the Lecture#25 and Lecture#26 notes.
May 09 Here is the Homework#2 solution.
May 18 Here is the Lecture#27 and Lecture#28 notes.
May 24 Here is the Lecture#29 and Lecture#30 notes.
May 29 Here is the Lecture#31
May 29 Here is the Homework#4solution.
May 29 Here is the Quiz#21 and Quiz#22 Solutions.
May 29 Here is the Quiz#23 and Quiz#25 Solutions.

Policies

There will be 6-10 homeworks, 6-10 in-class quizzes, presentations, some lecture notes and two exams. The grade break down will be as follows:

Grading

– Homeworks and Quizzes (35%)
– Lecture Notes (5%)
– Exams (20% + 40%)

Note : Final grades will be curved.
The homework assignments are mathematically oriented and involve derivations of mathematical equations, and proofs of statements.
NO LATE HOMEWORKS WILL BE ACCEPTED.
To fairly account for natural disasters and emergencies, everyone is allowed to skip one homework and one quiz. If you choose to solve all homeworks(quizzes), your homework(quiz) with the least score will be discarded while computing your final grade.
25% credit will be given for any question for clearly marking the question with “I DON’T KNOW”. Questions with an entirely wrong answer will get 0% credit, but a partially correct answer will get partial credit. So if u don’t have any idea about a problem, it’s better for you to admit that you don’t know something, rather than trying to fake it. But, if you have some idea, but its not entirely correct but is partially correct, you should show your partial solution