MT352 Finite Mathematics

4 ECTS - 2-0 Duration (T+A)- 6. Semester- 2 National Credit

Information

Unit FACULTY OF SCIENCE AND LETTERS
MATHEMATICS PR.
Code MT352
Name Finite Mathematics
Term 2019-2020 Academic Year
Semester 6. Semester
Duration (T+A) 2-0 (T-A) (17 Week)
ECTS 4 ECTS
National Credit 2 National Credit
Teaching Language Türkçe
Level Lisans Dersi
Type Normal
Label C Compulsory
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. HAYRULLAH AYIK
Course Instructor Doç. Dr. DİLEK ERSALAN (Bahar) (A Group) (Ins. in Charge)


Course Goal / Objective

The aim of this course is to teach the students how to solve distribution problems by using the basic principles of counting.

Course Content

In this course counting principles, binomial coefficients, cyclic permutations, distrubution problems, Fibonachi Numbers, division algorithm, prime numbers, the least common multiple and the greatest common divisor, surjective functions, Stirling Numbers, special functions, the pigeonhole principle, functional difficulty are described.

Course Precondition

Resources

1. Discrete and Combinatorial Mathematics an applied introduction, Ralph Grimaldi, Addison-Wesley Publishing Company,1994.

Notes

2. Sonlu Matematik Olimpiyat Problemleri ve Çözümleri (Tübitak yayınları) Ünal Ufuktepe, Refail Alizade<br>3. Sayma, Ali Nesin


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Describes distribution problems.
LO02 Solves the distributing problems using counting principles.
LO03 Calculates the Binomial coefficients.
LO04 Describes the Fibonacci numbers.
LO05 Realises division algorithm.
LO06 Calculates the elements of surjective functions using Stirling numbers.
LO07 Solves problem using the pigeonhole principle.
LO08 Realises functional difficulty.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 - Comprehend the ability to prove the mathematical knowledge gained in secondary education on the basis of theoretical basis. 5
PLO02 - Understands importance of basic consepts of Algebra, Analaysis and Topology. 1
PLO03 - Mathematical reasoning demonstrates the ability to develop and write mathematical proofs by gaining maturity. 5
PLO04 - Demonstrate the ability to express the basic theories of mathematics both correctly. 4
PLO05 - Understands the relationship between the different fields of mathematics and its relation to other disciplines. 3
PLO06 - Comprehends the ability to understand the relationships between the objects in the most understandable way while creating a model for any problem. 5
PLO07 - Comprehend and explain mathematical models such as formulas, graphs, tables and schema. 3
PLO08 - Demonstrate the ability to mathematically rearrange, analyze, and model the problems they encounter. 5
PLO09 - Comprehends at least one of the computer programming languages. 1
PLO10 - Demonstrate the ability to use scientific methods and appropriate technologies effectively in problem solving. 0
PLO11 - Understands sufficient knowledge of foreign language to be able to understand Mathematical concepts and communicate with other mathematicians 0
PLO12 - In addition to their professional development, they demonstrate their ability to continuously improve themselves by identifying their educational needs in scientific, cultural, artistic and social areas in line with their interests and abilities. 0
PLO13 - Understands the programming techniques and shows the ability to do programming. 0
PLO14 - Demonstrates the ability to study mathematics both independently and as a group. 0
PLO15 - Demonstrate an awareness of the universal and social impacts and legal consequences of mathematical applications in the field of study.
PLO16 - Demonstrate the ability to select, use and develop effectively for contemporary mathematical applications.
PLO17 - It has ability of lifelong learning awareness, access to information, monitoring developments in science and technology and self-renewal ability.
PLO18 - Gains the ability to use information technologies effectively for contemporary mathematical applications.
PLO19 - Gains the ability to design, conduct experiments, field work, data collection, analysis, archiving, text solving and / or interpretation according to mathematics fields.
PLO20 - Gains the consciousness of prefesional ethics and responsibility.


Week Plan

Week Topic Preparation Methods
1 Counting rules Review of the relevant pages from sources
2 Binom coefficients Review of the relevant pages from sources
3 Cyclic permutation Review of the relevant pages from sources
4 Distrubution problems Review of the relevant pages from sources
5 Fibonacci Numbers Review of the relevant pages from sources
6 Division algorithm Review of the relevant pages from sources
7 Prime numbers Review of the relevant pages from sources
8 Mid-Term Exam Review of the topics discussed in the lecture notes and sources
9 The least common multiple and the greatest common divisor Review of the relevant pages from sources
10 Surjective functions Review of the relevant pages from sources
11 Stirling Numbers Review of the relevant pages from sources
12 Special functions Review of the relevant pages from sources
13 The pigeon hole principle Review of the relevant pages from sources
14 Functional difficulty Review of the relevant pages from sources
15 General problem solving Review of the relevant pages from sources
16 Term Exams Review of the topics discussed in the lecture notes and sources
17 Term Exams Review of the topics discussed in the lecture notes and sources


Assessment (Exam) Methods and Criteria

Assessment Type Midterm / Year Impact End of Term / End of Year Impact
1. Midterm Exam 100 20
General Assessment
Midterm / Year Total 100 20
1. Final Exam - 80
Grand Total - 100


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 2 28
Out of Class Study (Preliminary Work, Practice) 14 2 28
Assesment Related Works
Homeworks, Projects, Others 1 0 0
Mid-term Exams (Written, Oral, etc.) 1 8 8
Final Exam 1 24 24
Total Workload (Hour) 88
Total Workload / 25 (h) 3,52
ECTS 4 ECTS

Update Time: 29.04.2025 12:42