ISB491 Combinatorics

5 ECTS - 3-0 Duration (T+A)- 7. Semester- 3 National Credit

Information

Unit FACULTY OF SCIENCE AND LETTERS
STATISTICS PR.
Code ISB491
Name Combinatorics
Term 2019-2020 Academic Year
Semester 7. Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 5 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Lisans Dersi
Type Normal
Label E Elective
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. SELAHATTİN KAÇIRANLAR
Course Instructor Prof. Dr. SELAHATTİN KAÇIRANLAR (Güz) (A Group) (Ins. in Charge)


Course Goal / Objective

To teach basic ideas of combinatorics

Course Content

Odd rules, permutation, combination, repeated permutation and combination, partitions, the minimax principle, the integer solutions of the special equations , recurrence relations, recurrence relations with constant coefficients, Fibonacci sequence, generating functions, the solutions of recurrence relations using generating functions.

Course Precondition

Yok

Resources

Notes



Course Learning Outcomes

Order Course Learning Outcomes
LO01 solve counting rules problems
LO02 solve permutations, combinations, and the problems of fragmentation ordered and unordered
LO03 solve the Principle of Inclusion and Exclusion problems
LO04 find the number of solutions of the equation n unknowns in a set of positive integers,
LO05 write and solve recurrence relations
LO06 understand producer functions
LO07 solve recurrence equations using generating functions
LO08 solve random walk and the problems of ingrown


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 - Explain the essence fundamentals and concepts in the field of Probability, Statistics and Mathematics 4
PLO02 - Emphasize the importance of Statistics in life 2
PLO03 - Define basic principles and concepts in the field of Law and Economics 0
PLO04 - Produce numeric and statistical solutions in order to overcome the problems 3
PLO05 - Use proper methods and techniques to gather and/or to arrange the data 1
PLO06 - Utilize computer systems and softwares 1
PLO07 - Construct the model, solve and interpret the results by using mathematical and statistical tehniques for the problems that include random events 3
PLO08 - Apply the statistical analyze methods 1
PLO09 - Make statistical inference(estimation, hypothesis tests etc.) 1
PLO10 - Generate solutions for the problems in other disciplines by using statistical techniques 3
PLO11 - Discover the visual, database and web programming techniques and posses the ability of writing programme 0
PLO12 - Construct a model and analyze it by using statistical packages 1
PLO13 - Distinguish the difference between the statistical methods 1
PLO14 - Be aware of the interaction between the disciplines related to statistics 3
PLO15 - Make oral and visual presentation for the results of statistical methods 1
PLO16 - Have capability on effective and productive work in a group and individually 2
PLO17 - Professional development in accordance with their interests and abilities, as well as the scientific, cultural, artistic and social fields, constantly improve themselves by identifying training needs 2
PLO18 - Develop scientific and ethical values in the fields of statistics-and scientific data collection 2


Week Plan

Week Topic Preparation Methods
1 Counting rules, permutations Source reading
2 Combination Source reading
3 Ordered and Unordered Partitions Source reading
4 The Principle of Inclusion and Exclusion Source reading
5 solutions of the equation n unknowns on set of positive integers Source reading
6 Recurrence relations Source reading
7 Solutions of equations of the reduction Source reading
8 Mid-Term Exam Review the topics discussed in the lecture notes and sources
9 generating functions Source reading
10 to solve reduction equations with the help of generating functions Source reading
11 to solve reduction equations with the help of generating functions Source reading
12 Random walk and the player goes down Source reading
13 Some counting problems Source reading
14 Some probability problems Source reading
15 Some probability problems Source reading
16 Term Exams Review the topics discussed in the lecture notes and sources
17 Term Exams Review 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 40
General Assessment
Midterm / Year Total 100 40
1. Final Exam - 60
Grand Total - 100


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 3 42
Out of Class Study (Preliminary Work, Practice) 14 3 42
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 12 12
Final Exam 1 18 18
Total Workload (Hour) 114
Total Workload / 25 (h) 4,56
ECTS 5 ECTS

Update Time: 02.05.2023 08:49