CEN130 Discrete Mathematics

5 ECTS - 3-0 Duration (T+A)- 2. Semester- 3 National Credit

Information

Code CEN130
Name Discrete Mathematics
Term 2023-2024 Academic Year
Semester 2. Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 5 ECTS
National Credit 3 National Credit
Teaching Language İngilizce
Level Lisans Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. UMUT ORHAN
Course Instructor Prof. Dr. UMUT ORHAN (A Group) (Ins. in Charge)


Course Goal / Objective

In this course, the mathematical foundations related to computer sciences like formal logic, set theory, mathematical induction, methods of counting, discrete probability, elementary graph theory are discussed.

Course Content

Logic, Sets, Function, Algorithm Complexity, Modular Arithmetic, Sequences and Strings, Recurrence Relations, Combinatorics, Probability and Bayes Theorem, Graph Theory, Trees, Finite-State Machine and Automata, Context Free Language and Grammar

Course Precondition

none

Resources

Notes on Discrete Mathematics, M. A. Lerma, Northwestern University

Notes

Discrete Mathematical Structures: Theory and Applications, D.S. Malik and M.K. Sen, Thomson.


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Solves a problem using rules of logical inference
LO02 Interprets partially ordered sets using Hasse diagram
LO03 Encrypts a message with RSA method using modular arithmetic
LO04 Interprets complexity in problems solved by combinatorial trials
LO05 Interprets problems with the pigeonhole principle
LO06 Interprets simple classification problems using probability and Bayes' Theorem
LO07 Solves problems by representing them with graphs
LO08 Solves tree data structure by applying it to problems
LO09 Interprets language problems with Finite State Machines and Context Free Grammar


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Has capability in the fields of mathematics, science and computer that form the foundations of engineering 5
PLO02 Bilgi - Kuramsal, Olgusal Identifies, formulates, and solves engineering problems, selects and applies appropriate analytical methods and modeling techniques, 3
PLO03 Bilgi - Kuramsal, Olgusal Analyzes a system, its component, or process and designs under realistic constraints to meet the desired requirements,gains the ability to apply the methods of modern design accordingly. 2
PLO04 Bilgi - Kuramsal, Olgusal Ability to use modern techniques and tools necessary for engineering practice and information technologies effectively. 3
PLO05 Bilgi - Kuramsal, Olgusal Ability to design and to conduct experiments, to collect data, to analyze and to interpret results 3
PLO06 Bilgi - Kuramsal, Olgusal Has ability to work effectively as an individual and in multi-disciplinary teams, take sresponsibility and builds self-confidence
PLO07 Beceriler - Bilişsel, Uygulamalı Can access information,gains the ability to do resource research and uses information resources
PLO08 Beceriler - Bilişsel, Uygulamalı Awareness of the requirement of lifelong learning, to follow developments in science and technology and continuous self-renewal ability
PLO09 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Ability to communicate effectively orally and in writing, and to read and understand technical publications in at least one foreign language
PLO10 Yetkinlikler - Öğrenme Yetkinliği Professional and ethical responsibility,
PLO11 Yetkinlikler - Öğrenme Yetkinliği Awareness about project management, workplace practices, employee health, environmental and occupational safety, and the legal implications of engineering applications,
PLO12 Yetkinlikler - Öğrenme Yetkinliği Becomes aware of universal and social effects of engineering solutions and applications, entrepreneurship and innovation, and knowledge of contemporary issues


Week Plan

Week Topic Preparation Methods
1 Logic and Proofs, Propositions Reading related chapter in lecture notes Öğretim Yöntemleri:
Anlatım
2 Sets, Function-Relation Reading related chapter in lecture notes Öğretim Yöntemleri:
Anlatım
3 Algorithm Complexity, Modular Arithmetic, RSA Reading related chapter in lecture notes Öğretim Yöntemleri:
Anlatım
4 Sequences, Strings, Induction, Recurrence Relations Reading related chapter in lecture notes Öğretim Yöntemleri:
Anlatım
5 Combinatorics, The Pigeonhole Principle, Probability and Bayes Theorem Reading related chapter in lecture notes Öğretim Yöntemleri:
Anlatım
6 Introduction to Graph Theory, Representations of Graphs Reading related chapter in lecture notes Öğretim Yöntemleri:
Anlatım
7 Paths and Circuits in Graphs Reading related chapter in lecture notes Öğretim Yöntemleri:
Anlatım
8 Midterm exam Study to lecture notes and apllications Ölçme Yöntemleri:
Yazılı Sınav
9 Graph Algorithms Reading related chapter in lecture notes Öğretim Yöntemleri:
Anlatım
10 Trees, Binary Trees Reading related chapter in lecture notes Öğretim Yöntemleri:
Anlatım
11 Decision Trees, Game Trees Reading related chapter in lecture notes Öğretim Yöntemleri:
Anlatım
12 Spanning Tree Algorithms Reading related chapter in lecture notes Öğretim Yöntemleri:
Anlatım
13 Finite-State Machine and Automata Reading related chapter in lecture notes Öğretim Yöntemleri:
Anlatım
14 Context Free Language an Grammar Reading related chapter in lecture notes Öğretim Yöntemleri:
Anlatım
15 Review for Final exam Reading related chapter in lecture notes Öğretim Yöntemleri:
Anlatım
16 Final Exam Study to lecture notes and apllications Ölçme Yöntemleri:
Yazılı Sınav
17 Final Exam Study to lecture notes and apllications Ölçme Yöntemleri:
Yazılı Sınav


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 3 42
Out of Class Study (Preliminary Work, Practice) 14 3 42
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 12 12
Final Exam 1 18 18
Total Workload (Hour) 114
Total Workload / 25 (h) 4,56
ECTS 5 ECTS

Update Time: 09.05.2023 07:08