ECTS - Discrete Mathematics and Combinatorics

Discrete Mathematics and Combinatorics (MATH112) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Discrete Mathematics and Combinatorics MATH112 2. Semester 3 0 0 3 6
Pre-requisite Course(s)
N/A
Course Language English
Course Type Compulsory Departmental Courses
Course Level Bachelor’s Degree (First Cycle)
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture, Question and Answer, Team/Group.
Course Coordinator
Course Lecturer(s)
Course Assistants
Course Objectives Combinatorics and discrete mathematics are increasingly important fields of mathematics because of their extensive applications in computer science, statistics, operations research, and engineering. The purpose of this course is to teach students to model, analyze, and solve combinatorial and discrete mathematical problems.
Course Learning Outcomes The students who succeeded in this course;
  • understand and apply the basic combinatorial formulae and counting principles.
  • solve linear recurrence relations.
  • understand properties of binary relations.
  • know basic notions of graph theory.
Course Content Numbers and counting, countable and uncountable sets, continuum, the Pigeonhole Principle and its applications, permutations and combinations, combinatorial formulas, recurrence relations, principle of inclusion and exclusion, binary relations, elementary graph theory.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Numbers and Counting. Countable and Uncountable Sets. Cantor’s Theorem. Continuum. pp. 215-230
2 The Pigeonhole Principle, Its Generalizations and Applications. pp. 420-431
3 Permutations. pp. 313-329
4 The Fundamental Rule of Counting. pp. 349-355
5 Combinations. Combinatorial Formulas. pp. 356-361
6 Properties of Binomial Coefficients. Stirling’s Formula. pp. 362-370
7 The Principle of Inclusion and Exclusion. pp. 326-330
8 Recurrence Relations. Linear Recurrence Relations With Constant Coefficients pp. 457-475
9 Recurrence Relations. Linear Recurrence Relations With Constant Coefficients (Continued). pp. 476-490
10 Generating Functions. pp. 499-509
11 Relations on Sets pp. 571-578, pp. 584,585
12 Equivalence Relations pp. 597,599
13 Partial Ordering Relations and Lattices. pp. 632-648
14 Paths and Circuits. Euler and Hamiltonians Paths. pp. 649-700
15 Review
16 Final Exam

Sources

Course Book 1. Susanna S. Epp, Discrete Mathematics with Applications, Brooks/Cole, 3rd Edition 2004.
Other Sources 2. Peter J. Cameron. Combinatorics: Topics, Techniques, Algorithms. Cambridge University Press, 2001
3. C. L. Liu. Elements of discrete mathematics. McGraw-Hill, 1985

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments 5 10
Presentation - -
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury 2 50
Final Exam/Final Jury 1 40
Toplam 8 100
Percentage of Semester Work 60
Percentage of Final Work 40
Total 100

Course Category

Core Courses X
Major Area Courses
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 Acquires skills to use the advanced theoretical and applied knowledge obtained at the mathematics bachelors program to do further academic and scientific research in both mathematics-based graduate programs and public or private sectors. X
2 Transplants and applies the theoretical and applicable knowledge gained in their field to the secondary education by using suitable tools and devices. X
3 Acquires the skill of choosing, using and improving problem solving techniques which are needed for modeling and solving current problems in mathematics or related fields by using the obtained knowledge and skills. X
4 Acquires analytical thinking and uses time effectively in the process of deduction X
5 Acquires basic software knowledge necessary to work in the computer science related fields and together with the skills to use information technologies effectively. X
6 Obtains the ability to collect data, to analyze, interpret and use statistical methods necessary in decision making processes. X
7 Acquires the level of knowledge to be able to work in the mathematics and related fields and keeps professional knowledge and skills up-to-date with awareness in the importance of lifelong learning. X
8 Takes responsibility in mathematics related areas and has the ability to work affectively either individually or as a member of a team. X
9 Has proficiency in English language and has the ability to communicate with colleagues and to follow the innovations in mathematics and related fields. X
10 Has the ability to communicate ideas with peers supported by qualitative and quantitative data. X
11 Has professional and ethical consciousness and responsibility which takes into account the universal and social dimensions in the process of data collection, interpretation, implementation and declaration of results in mathematics and its applications. X

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours)
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class 14 3 42
Presentation/Seminar Prepration
Project
Report
Homework Assignments 5 4 20
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 2 10 20
Prepration of Final Exams/Final Jury 1 20 20
Total Workload 102