Faculty Of Engıneerıng
Computer And Software Engıneerıng

Course Information

DISCRETE MATHEMATICS
Code Semester Theoretical Practice National Credit ECTS Credit
Hour / Week
MAT204 Spring 3 0 3 4

Prerequisites and co-requisites None
Language of instruction English
Type Required
Level of Course Bachelor's
Lecturer Asst. Prof. Ziya Gökalp Altun
Mode of Delivery Face to Face
Suggested Subject None
Professional practise ( internship ) None
Objectives of the Course To give Information abut the discrete structures and basics of discrete mathematic. Describe applications of discrete mathematics in computer science, to maintain understanding students this relationship
Contents of the Course Introduction to Discrete Mathemtaics, set theory, Mathematical Proof techniques, Logical methods, Boolean Algebra and functions, Algorithms

Learning Outcomes of Course

# Learning Outcomes
1 Define the discrete structures and basics of discrete mathematics.
2 Interpret computer applications of discrete mathematics
3 Analyze discrete structures
4 Define and analyze engineering problems by using the mathematics, scientific and engineering knowledge

Course Syllabus

# Subjects Teaching Methods and Technics
1 Introduction to Discrete Mathematics, Propsitional logic and proof techniques Lecture, discussion, exam
2 Mathematical Proof techniques, Set theory (Problems) Lecture, discussion, exam
3 Operations on sets Lecture, discussion, exam
4 Relations and operations Lecture, discussion, exam
5 Relations and operations, Functions Lecture, discussion, exam
6 Functions - Applications (problems) Lecture, discussion, exam
7 Algebraic structures Lecture, discussion, exam
8 Midterm Exam
9 Lattice structuras and Boolean algebra Lecture, discussion, exam
10 Boolean functions, applications (problems) Lecture, discussion, exam
11 Graph Theory - Applications Lecture, discussion, exam
12 Algorithms Lecture, discussion, exam
13 Algorithm applications (problems) Lecture, discussion, exam
14 Finite state machines, acceptors, transducers, turing machines Lecture, discussion, exam
15
16 Final Exam Exam

Course Syllabus

# Material / Resources Information About Resources Reference / Recommended Resources
1 Kenneth H.Rosen, Disrete Mathematics and Its applications, Mc.Graw Hill

Method of Assessment

# Weight Work Type Work Title
1 40% Mid-Term Exam Mid-Term Exam
2 60% Final Exam Final Exam

Relationship between Learning Outcomes of Course and Program Outcomes

# Learning Outcomes Program Outcomes Method of Assessment
1 Define the discrete structures and basics of discrete mathematics. 1͵2͵3 1͵2
2 Interpret computer applications of discrete mathematics 1͵2͵4 1͵2
3 Analyze discrete structures 1͵2͵4 1͵2
4 Define and analyze engineering problems by using the mathematics, scientific and engineering knowledge 1͵2͵4 1͵2
PS. The numbers, which are shown in the column Method of Assessment, presents the methods shown in the previous table, titled as Method of Assessment.

Work Load Details

# Type of Work Quantity Time (Hour) Work Load
1 Course Duration 14 3 42
2 Course Duration Except Class (Preliminary Study, Enhancement) 14 2 28
3 Presentation and Seminar Preparation 0 0 0
4 Web Research, Library and Archival Work 0 0 0
5 Document/Information Listing 0 0 0
6 Workshop 0 0 0
7 Preparation for Midterm Exam 1 5 5
8 Midterm Exam 1 5 5
9 Quiz 0 0 0
10 Homework 1 5 5
11 Midterm Project 0 0 0
12 Midterm Exercise 0 0 0
13 Final Project 0 0 0
14 Final Exercise 0 0 0
15 Preparation for Final Exam 1 5 5
16 Final Exam 1 5 5
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