algorithms_spring17

Design and Analysis of Algorithms

Spring 2017

Dr. Salah Aly Ahmed

Lectures and Labs:

• Lectures: Wednesday from 11:30 to 1:45 pm in room 1125, and Thursday from 1:45 to 3:00 pm
• Programming Lab: Thursday from 9:00 am to 3:00 pm in lab 1138
• Office Hours: Wednesday and Thursday from 9:00 am to 11:00 am

Announcements:

• HW#1 is posted on 15/02/2017 due day on 23/02/2017
• HW#2 is posted on 22/02/2017 due day on 02/03/2017
• Quiz#1 will be 08/03/2017 in class
• HW#3 is posted on 27/02/2017 due day on 08/03/2017
• grades of hw#1 and hw#2 are posted
• HW#4 is posted on 06/03/2017 due day on 15/03/2017
• HW#5 is posted on 14/03/2017 due day on 29/03/2017
• Midterm exam will be on 05/04/2017
• class slides are posted
• HW#6 is posted on 23/03/2017 (not graded) due day on 04/04/2017
• Review questions for the midterm exam are posted on 25/03/2017

Instructor:

• Dr. Salah Aly Ahmed Email: salahuqu@gmail.com

Teaching Assistants:

• Eng. Leena Nasser Email: leenanassar94@gmail.com
  • Eng. Nehal Basiouny Email: nehalbasiounyahmed@gmail.com

Lecture Meetings:

Grading Policy:

• 70 points for final exam
• 60 points for assignments, project, midterm exam, attendance
• 20 points for final exam lab
• No homework submissions will be accepted after due days

Text Book:

• Introduction to Algorithms, 3rd edition by Cormen, Leiserson, Rivest, and Stein, 2009. PDF free copy
  • Algorithms, 4th Edition by Robert Sedgewick and Kevin Wayne
  • Lectures and handout notes.

Class Project:

• Students are required to submitted a project regarding any topic related to design and analysis of algorithms. Each group consists of up to 4 students.
• All projects will be discussed and evaluated on the last week of this class.

Collaboration policy for written assignments:

You are allowed to discuss assignment solutions to problems in groups of three, documenting who you discussed with at the top of your homework. You are not allowed to write up the solutions together. You must do that by yourself either by hand or computerized. Any duplicate solutions will be discarded.

List of Lectures: videos, slides, and implementations

Other Materials & Links:

• Analysis of Algorithms page at Purdue
• Algorithms, COS 226: Syllabus (Spring 2017) Princeton
• 15-451/651: Algorithms at CMU.
• Algorithms CS473 Spring 2017, UIUC,
• Algorithms and Data Structure, Spring 2017, UPenn
• Advanced Algorithms, CS224, Spring2017, Harvard
• Algorithms for Modern Data Models: Ashish Goel (Stanford).
  • Algorithmic Techniques for Massive Data: Alexandr Andoni (Columbia).
  • Algorithms for Big Data: Chandra Chekuri (UIUC).
  • Algorithms for Big Data: Grigory Yaroslavtsev (UPenn).
• List of All Video Lectures by MIT Instructors

Algorithms & Competitions

• Importance of algorithms
  • Didi algorithm competitions
• Google algorithms research group