SOFTWARE ENGINEERING
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
MAT2033 Discrete Mathematics Fall 3 0 3 6

Basic information

Language of instruction: English
Type of course: Must Course
Course Level: Bachelor’s Degree (First Cycle)
Mode of Delivery: Face to face
Course Coordinator : Instructor MAHMOUD JAFARI SHAH BELAGHI
Course Lecturer(s): Prof. Dr. MURAT SARI
Prof. Dr. NAFİZ ARICA
Recommended Optional Program Components: None
Course Objectives: To provide the necessary background in discrete mathematical structures for students who would work which involves machine calculation. To teach basic algorithms on discrete structures.

Learning Outcomes

The students who have succeeded in this course;
1. Understand the basic principles of Logic.
2. Understand the basic principles of sets and operations in sets.
3. Understand methods of mathematical proofs, and be able to apply them in problem solving.
4. Demonstrate relations and determine their properties.
5. Demonstrate functions and determine when a function is 1-1 and "onto".
6. Understand some basic properties of number theory and mathematical cryptography.
7. Understand and use some basic properties of graphs.

Course Content

Mathematical logic, induction, set theory, relations, functions, graphs, number theory, and mathematical cryptography

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Propositional Logic
2) Propositional Equivalences
3) Predicates and Quantifiers
4) Rules of Inference
5) Proof Methods
6) Sets and Set Operations \ review.
7) Relations and Their Properties
8) Representing Relations and Closures of Relations
9) Equivalence Relations and Partial Orderings
10) Functions
11) Divisibility and Modular Arithmetic
12) Primes, Greatest Common Divisors, and Cryptography \ review.
13) Graphs and Graph Models
14) Graph Terminology and Special Types of Graphs

Sources

Course Notes / Textbooks: - Instructor's own lecture notes.
- Discrete Mathematics and its Applications, Kenneth H. Rosen, McGraw-Hill Publishing Company.
References: - Elements of Discrete Mathematics, C. L. Liu, McGraw-Hill Publishing Company.
- Discrete and Combinatorial Mathematics, R. P. Grimaldi, Addison-Wesley Publishing Company.
- AND any textbook that covers given topics can be used.

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Midterms 2 % 60
Final 1 % 40
Total % 100
PERCENTAGE OF SEMESTER WORK % 60
PERCENTAGE OF FINAL WORK % 40
Total % 100

ECTS / Workload Table

Activities Number of Activities Duration (Hours) Workload
Course Hours 14 3 42
Study Hours Out of Class 14 7 98
Midterms 2 2 4
Final 1 2 2
Total Workload 146

Contribution of Learning Outcomes to Programme Outcomes

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) Be able to specify functional and non-functional attributes of software projects, processes and products.
2) Be able to design software architecture, components, interfaces and subcomponents of a system for complex engineering problems.
3) Be able to develop a complex software system with in terms of code development, verification, testing and debugging. 2
4) Be able to verify software by testing its program behavior through expected results for a complex engineering problem. 4
5) Be able to maintain a complex software system due to working environment changes, new user demands and software errors that occur during operation. 2
6) Be able to monitor and control changes in the complex software system, to integrate the software with other systems, and to plan and manage new releases systematically.
7) Be able to identify, evaluate, measure, manage and apply complex software system life cycle processes in software development by working within and interdisciplinary teams. 2
8) Be able to use various tools and methods to collect software requirements, design, develop, test and maintain software under realistic constraints and conditions in complex engineering problems. 2
9) Be able to define basic quality metrics, apply software life cycle processes, measure software quality, identify quality model characteristics, apply standards and be able to use them to analyze, design, develop, verify and test complex software system. 3
10) Be able to gain technical information about other disciplines such as sustainable development that have common boundaries with software engineering such as mathematics, science, computer engineering, industrial engineering, systems engineering, economics, management and be able to create innovative ideas in entrepreneurship activities. 5
11) Be able to grasp software engineering culture and concept of ethics and have the basic information of applying them in the software engineering and learn and successfully apply necessary technical skills through professional life.
12) Be able to write active reports using foreign languages and Turkish, understand written reports, prepare design and production reports, make effective presentations, give clear and understandable instructions.
13) Be able to have knowledge about the effects of engineering applications on health, environment and security in universal and societal dimensions and the problems of engineering in the era and the legal consequences of engineering solutions.