MAT2033 Discrete MathematicsBahçeşehir UniversityDegree Programs MATHEMATICSGeneral Information For StudentsDiploma SupplementErasmus Policy StatementBologna CommissionNational Qualifications
MATHEMATICS
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 : Assist. Prof. NERMINE AHMED EL SISSI
Course Lecturer(s): Prof. Dr. NAFİZ ARICA
Recommended Optional Program Components: None
Course Objectives: The main course objective is to introduce basic ideas of discrete mathematics such as formal mathematical reasoning techniques, relations, graphs and a basic introduction to number theory. The course trains students to develop
their analytical and critical thinking abilities through the following important topics: mathematical reasoning, discrete structure, and algorithmic thinking. The successful students will be able to demonstrate their ability to apply these to practical problems, and to communicate their knowledge of
these areas.

Learning Outcomes

The students who have succeeded in this course;
1. Use and apply basic definitions and properties of logic.
2. Construct valid proofs using different proof techniques.
3. Understand the basic principles of sets and apply operations on sets.
4. Identify functions and determine their properties.
5. Determine properties of relations, identify equivalence and partial order relations.
6. Demonstrate an understanding of the basic properties of graphs.
7. Apply given definitions and theorems to solve problems and prove statements in elementary number theory.

Course Content

Mathematical logic, induction, set theory, relations, functions, graphs, elementary number theory and its application to cryptography

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Propositional Logic Applications of Propositional Logic Read sections 1.1 and 1.2
2) Propositional Equivalences Read section 1.3
3) Predicates and Quantifiers Read sections 1.4 and 1.5
4) Rules of inference, introduction to proofs, proof methods and strategy Read sections 1.6, 1.7, and 1.8
5) Mathematical induction and strong mathematical induction and Well-Ordering principle Read sections 5.1 and 5.2
6) Sets and Set Operations Read sections 2.1 and 2.2
7) Midterm Review Complete the review problems worksheet.
8) Functions Read section 2.3
9) Divisibility and modular arithmetic, primes and greatest common divisors Read sections 4.1 and 4.3
10) Primes and greatest common divisors, cryptography Read sections 4.3 and 4.6
11) Relations and Their Properties, n-ary relations and their applications Read sections 9.1 and 9.2
12) Equivalence relations, partial orderings Read sections 9.5 and 9.6
12) Primes, Greatest Common Divisors, and Cryptography \ review.
13) Graphs and graph models, graph terminology and special types of graphs Read sections 10.1 and 10.2
14) Final Exam Review Complete the review problems worksheet

Sources

Course Notes / Textbooks: - 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.

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