INDUSTRIAL 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 Spring 3 0 3 6
The course opens with the approval of the Department at the beginning of each semester

Basic information

Language of instruction: En
Type of course: Must Course
Course Level: Bachelor
Mode of Delivery: Face to face
Course Coordinator : Instructor MAHMOUD JAFARI SHAH BELAGHI
Course Lecturer(s): Prof. Dr. MURAT SARI
Prof. Dr. NAFİZ ARICA
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 Outputs

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: - 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
Attendance 0 % 0
Laboratory 0 % 0
Application 0 % 0
Field Work 0 % 0
Special Course Internship (Work Placement) 0 % 0
Quizzes 0 % 0
Homework Assignments 0 % 0
Presentation 0 % 0
Project 0 % 0
Seminar 0 % 0
Midterms 2 % 60
Preliminary Jury % 0
Final 1 % 40
Paper Submission % 0
Jury % 0
Bütünleme % 0
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
Laboratory 0 0 0
Application 0 0 0
Special Course Internship (Work Placement) 0 0 0
Field Work 0 0 0
Study Hours Out of Class 14 7 98
Presentations / Seminar 0 0 0
Project 0 0 0
Homework Assignments 0 0 0
Quizzes 0 0 0
Preliminary Jury 0 0 0
Midterms 2 2 4
Paper Submission 0 0 0
Jury 0 0 0
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) Build up a body of knowledge in mathematics, science and industrial engineering subjects; use theoretical and applied information in these areas to model and solve complex engineering problems. 5
2) Identify, formulate, and solve complex engineering problems; select and apply proper analysis and modeling methods for this purpose. 3
3) Design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; apply modern design methods for this purpose. The ability to apply modern design methods to meet this objective.
4) Devise, select, and use modern techniques and tools needed for solving complex problems in industrial engineering practice; employ information technologies effectively.
5) Design and conduct experiments, collect data, analyze and interpret results for investigating the complex problems specific to industrial engineering.
6) Cooperate efficiently in intra-disciplinary and multi-disciplinary teams; and show self-reliance when working independently.
7) Demonstrate effective communication skills in both oral and written English and Turkish. Writing and understanding reports, preparing design and production reports, making effective presentations, giving and receiving clear and understandable instructions.
8) Recognize the need for lifelong learning; show ability to access information, to follow developments in science and technology, and to continuously educate him/herself.
9) Develop an awareness of professional and ethical responsibility, and behaving accordingly. Information about the standards used in engineering applications.
10) Know business life practices such as project management, risk management, and change management; develop an awareness of entrepreneurship, innovation, and sustainable development.
11) Know contemporary issues and the global and societal effects of modern age engineering practices on health, environment, and safety; recognize the legal consequences of engineering solutions.
12) Develop effective and efficient managerial skills.