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COURSE UNIT TITLECOURSE UNIT CODESEMESTERTHEORY + PRACTICE (Hour)ECTS
ALGORITHM DESIGN AND ANALYSIS BİL567 - 3 + 0 10

TYPE OF COURSE UNITCompulsory Course
LEVEL OF COURSE UNITMaster's Degree With Thesis
YEAR OF STUDY-
SEMESTER-
NUMBER OF ECTS CREDITS ALLOCATED10
NAME OF LECTURER(S)Assistant Professor Didem Ölçer
LEARNING OUTCOMES OF THE COURSE UNIT At the end of this course, the students;
1) Learn algorithm complexity anlaysis and how to compare algorithms
2) Get practice on time and space efficient programming
3) Get ability to use heuristics in problem solving
MODE OF DELIVERYFace to face
PRE-REQUISITES OF THE COURSENo
RECOMMENDED OPTIONAL PROGRAMME COMPONENTNone
COURSE DEFINITIONAlgorithm complexity. Asymptotic notation. Searching. Sorting. Divide-and-Conquer. Dynamic programming. Greedy methods and applications. Graph theory. Shortest paths. Minimum spanning tree. Heuristics. NP hardness and completeness. Recent challenges.
COURSE CONTENTS
WEEKTOPICS
1st Week Algorithm complexity
2nd Week Asymptotic notation
3rd Week Searching
4th Week Sorting
5th Week Divide-and-Conquer
6th Week Dynamic programming
7th Week Greedy methods ,Applications
8th Week Mid-term
9th Week Graph theory
10th Week Shortest paths
11th Week Minimum spanning tree
12th Week Heuristics
13th Week NP hardness and completeness
14th Week Recent challenges
RECOMENDED OR REQUIRED READING1. Cormen, Introduction to Algorithms, 2.Ed., MIT Press, 2001
2. Gilles Brassard, Paul Bratley. Fundamentals of algorithmics. Prentice Hall, 1996.
3. D.R. Stinson, An introduction to the design and analysis of algorithms, Charles Babbage Research Centre, Winnipeg, Manitoba, 1987.
PLANNED LEARNING ACTIVITIES AND TEACHING METHODSProject
ASSESSMENT METHODS AND CRITERIA
 QuantityPercentage(%)
Mid-term130
Project130
Total(%)60
Contribution of In-term Studies to Overall Grade(%)60
Contribution of Final Examination to Overall Grade(%)40
Total(%)100
ECTS WORKLOAD
Activities Number Hours Workload
Midterm exam122
Preparation for Quiz
Individual or group work
Preparation for Final exam17070
Course hours14342
Preparation for Midterm exam15050
Laboratory (including preparation)
Final exam122
Homework24080
Presentation (including preperation)14040
Total Workload286
Total Workload / 309,53
ECTS Credits of the Course10
LANGUAGE OF INSTRUCTIONTurkish
WORK PLACEMENT(S)No
  

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