CEN120 Discrete Mathematics

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

Information

Unit FACULTY OF ENGINEERING
COMPUTER ENGINEERING PR. (ENGLISH)
Code CEN120
Name Discrete Mathematics
Term 2015-2016 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 Üniversite Dersi
Type Normal
Label C Compulsory
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator
Course Instructor (Bahar) (A Group) ()


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 and Proofs, Sets, Induction, Algorithm complexity, Modular arithmetic, Combinatorial analysis, Graph Theory, Trees, Boolean Algebras, Automata, Grammars and Languages

Course Precondition

Yok

Resources

Notes



Course Learning Outcomes

Order Course Learning Outcomes
LO01 Define the discrete structures and basics of discrete mathematics. Interpret computer applications of discrete mathematics. Analyze discrete structures.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 - Has capability in the fields of mathematics, science and computer that form the foundations of engineering
PLO02 - Identifies, formulates, and solves engineering problems, selects and applies appropriate analytical methods and modeling techniques,
PLO03 - 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.
PLO04 - Ability to use modern techniques and tools necessary for engineering practice and information technologies effectively.
PLO05 - Ability to design and to conduct experiments, to collect data, to analyze and to interpret results
PLO06 - Has ability to work effectively as an individual and in multi-disciplinary teams, take sresponsibility and builds self-confidence
PLO07 - Can access information,gains the ability to do resource research and uses information resources
PLO08 - Awareness of the requirement of lifelong learning, to follow developments in science and technology and continuous self-renewal ability
PLO09 - Ability to communicate effectively orally and in writing, and to read and understand technical publications in at least one foreign language
PLO10 - Professional and ethical responsibility,
PLO11 - Awareness about project management, workplace practices, employee health, environmental and occupational safety, and the legal implications of engineering applications,
PLO12 - 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 Introduction to Discrete Mathematics -
2 Logic and Proofs, Propositions Reading the related chapter in lecture notes.
3 Sets, Functions, Relations Reading the related chapter in lecture notes.
4 Algorithm and complexity Reading the related chapter in lecture notes.
5 Modular Arithmetic, Recursiveness, Division, Euclidean Algorithm Reading the related chapter in lecture notes.
6 Sequences, Strings, Induction, Recurrence Relations Reading the related chapter in lecture notes.
7 Combinatorial analysis, Probability Reading the related chapter in lecture notes.
8 Midterm exam Preparing for the exam
9 Introduction to Graph Theory, Representations of Graphs Reading the related chapter in lecture notes.
10 Paths and Circuits in Graphs Reading the related chapter in lecture notes.
11 Trees, Binary Trees, Decision Trees Reading the related chapter in lecture notes.
12 Decision Trees, Spanning Trees Reading the related chapter in lecture notes.
13 Boolean Algebras Reading the related chapter in lecture notes.
14 Automata, Finite-State Machines Reading the related chapter in lecture notes.
15 Grammars and Languages, Language Recognition Reading the related chapter in lecture notes.
16 Final Exam Preparing for the exam
17 Final Exam Preparing for the exam


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 2 28
Assesment Related Works
Homeworks, Projects, Others 2 24 48
Mid-term Exams (Written, Oral, etc.) 1 25 25
Final Exam 1 25 25
Total Workload (Hour) 168
Total Workload / 25 (h) 6,72
ECTS 5 ECTS

Update Time: 15.03.2016 02:58