Course Name Code Semester T+U Hours Credit ECTS
Discrete Computational Structures EBT 552 0 3 + 0 3 6
Precondition Courses
Recommended Optional Courses
Course Language Turkish
Course Level yuksek_lisans
Course Type Optional
Course Coordinator Doç.Dr. NİLÜFER YURTAY
Course Lecturers
Course Assistants
Course Category
Course Objective Discrete mathematic is an area of mathematics concerned with solving problems for which the number of possibilities. These problems may be broken into three main categories: determining existence, counting and optimization
Course Content ntroduction to mathematical technics in computer engineering and computer science.
# Course Learning Outcomes Teaching Methods Assessment Methods
1 To understand of Computer network, data structures and basic prinsiples of data bases Lecture, Question-Answer, Drilland Practice, Testing, Homework, Project / Design,
2 To develop of mathematical inference Lecture, Question-Answer, Drilland Practice, Testing, Homework, Project / Design,
Week Course Topics Preliminary Preparation
1 Combinatorial problems and mathematical induction
2 Sets, relations and functions
3 Algebra structures
4 Introduction to Graphs theory
5 Graph algorithms
6 Multi graphs and their applications
7 Directed graphs
8 Trees
9 Counting techniques
10 Recurrence relations and genarating functions
11 Finite state machines
12 Applications and software development
13 Applications and software development
14 Applications and software development
Resources
Course Notes [1]http://cs.sakarya.edu.tr/nyurtay adresinde <br>yayınlanan indirilebilir ders malzemeleri<br>[2] SELÇUK F., YURTAY,N.,YUMUŞAK , N.,Ayrık İşlemsel Yapılar,2005
Course Resources [1].Discrete mathematical strures for computer science, Bernard Kolman, Robert C.Busby, Prentice Hall,1987.
[2].Discrete mathematics with combinatorics ,James A. Anderson, Prentice Hall, 2001
Order Program Outcomes Level of Contribution
1 2 3 4 5
1 ability to access wide and deep information with scientific researches in the field of Engineering, evaluate, interpret and implement the knowledge gained in his/her field of study X
2 ability to complete and implement limited or incomplete data by using the scientific methods. X
3 ability to consolidate engineering problems, develop proper method(s) to solve and apply the innovative solutions to them X
4 ability to develop new and original ideas and method(s), to develop new innovative solutions at design of system, component or process X
5 gain comprehensive information on modern techniques, methods and their borders which are being applied to engineering X
6 ability to design and apply analytical, modelling and experimental based research, analyze and interpret the faced complex issues during the design and apply process X
7 gain high level ability to define the required information and data X
8 ability to work in multi-disciplinary teams and to take responsibility to define approaches for complex situations X
9 systematic and clear verbal or written transfer of the process and results of studies at national and international environments X
10 aware of social, scientific and ethical values guarding adequacy at all professional activities and at the stage of data collection, interpretation and announcement X
11 aware of new and developing application of profession and ability to analyze and study on those applications
12 ability to interpret engineering applications social and environmental dimensions and its compliance with the social environment
Evaluation System
Semester Studies Contribution Rate
1. Ara Sınav 30
1. Ödev 35
1. Performans Görevi (Seminer) 35
Total 100
1. Yıl İçinin Başarıya 40
1. Final 60
Total 100
ECTS - Workload Activity Quantity Time (Hours) Total Workload (Hours)
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 3 48
Mid-terms 1 15 15
Assignment 1 15 15
Final examination 1 15 15
Total Workload 141
Total Workload / 25 (Hours) 5.64
dersAKTSKredisi 6