CENG110 Discrete StructuresIstanbul Okan UniversityDegree Programs Computer Engineering (English)General Information For StudentsDiploma SupplementErasmus Policy StatementNational Qualifications
Computer Engineering (English)
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

General course introduction information

Course Code: CENG110
Course Name: Discrete Structures
Course Semester: Spring
Course Credits:
Theoretical Practical Credit ECTS
3 0 3 5
Language of instruction: EN
Course Requisites:
Does the Course Require Work Experience?: No
Type of course: Compulsory
Course Level:
Bachelor TR-NQF-HE:6. Master`s Degree QF-EHEA:First Cycle EQF-LLL:6. Master`s Degree
Mode of Delivery: Face to face
Course Coordinator : Dr.Öğr.Üyesi RÜYAM ACAR
Course Lecturer(s): Dr. FERİT TOSKA
Course Assistants:

Course Objective and Content

Course Objectives: A. Logic, proof and induction
B. Using graf and trees
Course Content: The purpose of the Discrete Structures course is to provide students with the basic mathematical infrastructure unique to computer engineering.

Learning Outcomes

The students who have succeeded in this course;
Learning Outcomes
1 - Knowledge
Theoretical - Conceptual
2 - Skills
Cognitive - Practical
1) It makes logic, proof and induction.
2) Uses graf and trees.
3 - Competences
Communication and Social Competence
Learning Competence
Field Specific Competence
Competence to Work Independently and Take Responsibility

Lesson Plan

Week Subject Related Preparation
1)
1) Introduction to Graphs and Trees Discrete Mathematics and Its Applications 4th ed. Kenneth H. Rosen, McGraw-Hill.
2) clusters Discrete Mathematics and Its Applications 4th ed. Kenneth H. Rosen, McGraw-Hill.
3) Elementary Logic, Proof and Induction Discrete Mathematics and Its Applications 4th ed. Kenneth H. Rosen, McGraw-Hill.
4) Functions and Series Discrete Mathematics and Its Applications 4th ed. Kenneth H. Rosen, McGraw-Hill.
6) Counting Discrete Mathematics and Its Applications 4th ed. Kenneth H. Rosen, McGraw-Hill.
6)
7) Relationships Discrete Mathematics and Its Applications 4th ed. Kenneth H. Rosen, McGraw-Hill.
9) Graphs Discrete Mathematics and Its Applications 4th ed. Kenneth H. Rosen, McGraw-Hill.
10) Trees Discrete Mathematics and Its Applications 4th ed. Kenneth H. Rosen, McGraw-Hill.
10)
11) Boolean Algebra Discrete Mathematics and Its Applications 4th ed. Kenneth H. Rosen, McGraw-Hill.
12) Algebraic Systems Discrete Mathematics and Its Applications 4th ed. Kenneth H. Rosen, McGraw-Hill.
13) Finite State Machines Discrete Mathematics and Its Applications 4th ed. Kenneth H. Rosen, McGraw-Hill.
15) Final Exam Discrete Mathematics and Its Applications 4th ed. Kenneth H. Rosen, McGraw-Hill.

Sources

Course Notes / Textbooks: Discrete Mathematics,
2nd Ed., Kenneth Ross & Charles Wright, Prentice Hall
Seymour Lipschutz, Marc Lipson, “Discrete Mathematics (Schaum’s Outlines)”
References: Discrete Mathematics and Its Applications
4th ed. Kenneth H. Rosen, McGraw-Hill.

Course-Program Learning Outcome Relationship

Learning Outcomes

1

2

Program Outcomes
1) Sufficient knowledge in mathematics, science and engineering related to their branches; the ability to apply theoretical and practical knowledge in these areas to model and solve engineering problems.
2) The ability to identify, formulate, and solve complex engineering problems; selecting and applying appropriate analysis and modeling methods for this purpose.
3) The ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; the ability to apply modern design methods for this purpose. (Realistic constraints and conditions include such issues as economy, environmental issues, sustainability, manufacturability, ethics, health, safety, social and political issues, according to the nature of design.)
4) Ability to develop, select and use modern techniques and tools necessary for engineering applications; ability to use information technologies effectively.
5) Ability to design experiments, conduct experiments, collect data, analyze and interpret results for examination of engineering problems.
6) The ability to work effectively in disciplinary and multidisciplinary teams; individual work skill.
7) Effective communication skills in Turkish oral and written communication; at least one foreign language knowledge.
8) Awareness of the need for lifelong learning; access to knowledge, ability to follow developments in science and technology, and constant self-renewal.
9) Professional and ethical responsibility.
10) Information on project management and practices in business life such as risk management and change management; awareness about entrepreneurship, innovation and sustainable development.
11) Information on the effects of engineering applications on health, environment and safety in the universal and social dimensions and the problems of the times; awareness of the legal consequences of engineering solutions.

Course - Learning Outcome Relationship

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) Sufficient knowledge in mathematics, science and engineering related to their branches; the ability to apply theoretical and practical knowledge in these areas to model and solve engineering problems.
2) The ability to identify, formulate, and solve complex engineering problems; selecting and applying appropriate analysis and modeling methods for this purpose.
3) The ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; the ability to apply modern design methods for this purpose. (Realistic constraints and conditions include such issues as economy, environmental issues, sustainability, manufacturability, ethics, health, safety, social and political issues, according to the nature of design.)
4) Ability to develop, select and use modern techniques and tools necessary for engineering applications; ability to use information technologies effectively.
5) Ability to design experiments, conduct experiments, collect data, analyze and interpret results for examination of engineering problems.
6) The ability to work effectively in disciplinary and multidisciplinary teams; individual work skill.
7) Effective communication skills in Turkish oral and written communication; at least one foreign language knowledge.
8) Awareness of the need for lifelong learning; access to knowledge, ability to follow developments in science and technology, and constant self-renewal.
9) Professional and ethical responsibility.
10) Information on project management and practices in business life such as risk management and change management; awareness about entrepreneurship, innovation and sustainable development.
11) Information on the effects of engineering applications on health, environment and safety in the universal and social dimensions and the problems of the times; awareness of the legal consequences of engineering solutions.

Learning Activity and Teaching Methods

Expression
Lesson
Project preparation

Assessment & Grading Methods and Criteria

Written Exam (Open-ended questions, multiple choice, true-false, matching, fill in the blanks, sequencing)
Homework

Assessment & Grading

Semester Requirements Number of Activities Level of Contribution
Attendance 1 % 5
Quizzes 3 % 21
Midterms 2 % 34
Final 1 % 40
total % 100
PERCENTAGE OF SEMESTER WORK % 60
PERCENTAGE OF FINAL WORK % 40
total % 100

Workload and ECTS Credit Grading

Activities Number of Activities Duration (Hours) Workload
Course Hours 15 3 45
Study Hours Out of Class 14 4 56
Project 2 15 30
Quizzes 3 1 3
Midterms 2 3 6
Final 1 2 2
Total Workload 142