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Revision as of 13:55, 7 October 2016

Algorithms, Data Structures, and Problem Solving

Contact

Lecturer

Masoumeh Taromirad

• Office: E 308
• Telephone 035 16 71 87
• Email: [m.taromiradi@hh.se]

Lab Instructor

Süleyman Savaş

• Office: E 321
• Email: [suleyman.savas@hh.se]

Schedule

Schedule on Timeedit

Objectives

On completion of the course students will be able to

• explain how to estimate the execution time of programs
• recognize techniques for algorithm design such as divide and conquer, recursion, dynamic programming
• recognize data structures and algorithms for search and sorting, such as quick sort, binary search trees, hash tables
• identify the need and use data structures as modules to solve larger problems
• use techniques for algorithm design in solving larger problems
• judge how suitable a program is given its execution time
• choose adequate implementations of data structures from program libraries

Practicals and Project

• Computer based exercises with supervision, complementing the lectures, are provided to the students during the lab sessions.

• By the end of the course, a project is carried out in teams in order to emphasize reusable software development in a larger context.

The description of the lab exercises and project are available at http://ssavas.com/courses/da4002/2016-2/.

Examination

Examination consists of two elements: written examination of the theory, and project results presented as distributable source archives and with a written report.

Course Material and Resources

Textbooks

• [L] Loudon, Kyle. Mastering Algorithms with C. O’Reilly & Associates, 1999.

• [K+R] Kernighan, Brian W., Ritchie, Dennis M. The C Programming Language. Prentice Hall, 1989.

• [recommended] Sedgewick, Robert. Algorithms in C, Parts 14: Fundamentals, Data Structures, Sorting, Searching. AddisonWesley Professional, 1997.

Slides and Handouts

Lecture	Handouts / Slides	Other Material
Lecture 1: Introduction and C Tutorial August 29, 10:15	Slides	[K+R]: 2.1-10, 3.1-5, 3.7, 5.1, 5. 3, 5. 4, 7.1-2
Guest Lecture 1: NP-Complete Problems (part 1) September 5, 10:15	Slides (guest lecture)	A Clip about the Halting Problem
Lecture 2: Vectors and Lists and Guest Lecture 2: NP-Complete Problems (part 2) September 12, 10:15	Slides Slides (guest lecture)
Guest Lecture 3: NP-Complete Problems (part 3) September 19, 10:15	Slides (guest lecture)	Slides includes the final version of the three parts of the guest lectures.
Lecture 3: Searching, Trees, and Heaps September 26, 10:15	Slides
Lecture 4: Complexity Analysis and Sorting October 3, 10:15	Slides	Group Activity

Acknowledgement

This course is based on the earlier editions of the course in 2013-2015 and the material provided by Roland Philippsen has been essential in the set up the course.

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