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FACULTY of ENGINEERING / DEPARTMENT of COMPUTER ENGINEERING / (30%) English
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BIL2009Discrete Mathematics3+0+0ECTS:5
Year / SemesterFall Semester
Level of CourseFirst Cycle
Status Compulsory
DepartmentDEPARTMENT of COMPUTER ENGINEERING
Prerequisites and co-requisitesNone
Mode of DeliveryFace to face
Contact Hours14 weeks - 3 hours of lectures per week
Lecturer--
Co-Lecturer
Language of instructionTurkish
Professional practise ( internship ) None
 
The aim of the course:
Objects studied in discrete mathematics are largely countable sets such as integers, finite graphs, and formal languages. The aim of this course is to teach mathematical basics of computer applications.
 
Learning OutcomesCTPOTOA
Upon successful completion of the course, the students will be able to :
LO - 1 : describe mathematical basics of computer science and fundamental concepts of discrete systems 1,2,121
LO - 2 : apply mathematical methods to computer science related and other engineering problems1,2,121
LO - 3 : describe combinatorical computation principles1,2,121,3
LO - 4 : use graph theory in modeling of discrete systems. 1,2,121,3
CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), LO : Learning Outcome

 
Contents of the Course
Sets. Functions. Logic and Proofs. discrete and continuous probability. Enumerative combinatorics. Recurrence Relations. Graph Theory, Representing graphs. The 4-color problem. Boolean Algebra and Combinatorial Circuits. Sets. Formal systems. Hamilton and Euler loops. Counting and relations.
 
Course Syllabus
 WeekSubjectRelated Notes / Files
 Week 1Introduction. Sets and Relations
 Week 2Models. relations and Their properties. Representing Relations. Discrete and continuous probability.
 Week 3Boolean algebra. Boolean Functions Properties.
 Week 4Completenesss.
 Week 5Boole Function Applications. Minimization of Circuits
 Week 6Introduction to Graphs
 Week 7Representing Graphs and Graph Izomorphism
 Week 8Mid-term exam
 Week 9Connectivity
 Week 10Euler and Hamilton Paths
 Week 11Graf Coloring
 Week 12Shortest Path Problems. Planar Graphs
 Week 13short exam
 Week 14Application problems
 Week 15Characterization. Forbidden figurs
 Week 16End-of-term exam
 
Textbook / Material
1Özel Ders notları, Nabiyev V. 2009, Algoritmalar. Kombinatorika, Seçkin Y. , 864 s.
 
Recommended Reading
1Kenneth H. Rosen, 2000, Handbook of Discrete and Combinatorial Mathematics CRC Press. ISBN 0-8493-0149-1.
2Richard Johnsonbaugh, 2005, Discrete Mathematics 6th ed. Macmillan. ISBN 0-13-045803.
3Ralph P. Grimaldi,2003, Discrete and Combinatorial Mathematics: An Applied Introduction 5th ed. Addison Wesley. ISBN 0-20-172634
4Kenneth H. Rosen, 2000, Discrete Mathematics and Its Applications 6th ed. McGraw Hill. ISBN 0-07-288008-2.
 
Method of Assessment
Type of assessmentWeek NoDate

Duration (hours)Weight (%)
Mid-term exam 8 28/03/2014 120 30
Quiz 13 02/05/2014 110 20
End-of-term exam 16 30/05/2014 2 50
 
Student Work Load and its Distribution
Type of workDuration (hours pw)

No of weeks / Number of activity

Hours in total per term
Yüz yüze eğitim 3 14 42
Sınıf dışı çalışma 4 14 56
Laboratuar çalışması 0 0 0
Arasınav için hazırlık 10 1 10
Arasınav 2 1 2
Uygulama 0 0 0
Klinik Uygulama 0 0 0
Ödev 0 0 0
Proje 0 0 0
Kısa sınav 2 1 2
Dönem sonu sınavı için hazırlık 14 1 14
Dönem sonu sınavı 2 1 2
Diğer 1 10 3 30
Diğer 2 0 0 0
Total work load158