ISB111 Discrete mathematics

3 ECTS - 2-0 Duration (T+A)- 1. Semester- 2 National Credit

Information

Unit FACULTY OF SCIENCE AND LETTERS
STATISTICS PR.
Code ISB111
Name Discrete mathematics
Term 2019-2020 Academic Year
Semester 1. Semester
Duration (T+A) 2-0 (T-A) (17 Week)
ECTS 3 ECTS
National Credit 2 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

This course aims to help students acquire a powerful background on Counting Rules, permutations, combinations and probability.

Course Content

Counting Rules , permutations, combinations, ordered and unordered fragmentation, probability

Course Precondition

Yok

Resources

Notes



Course Learning Outcomes

Order Course Learning Outcomes
LO01 Explains Counting Rules
LO02 Solve the problems of permutations
LO03 Solve the problems of combinations
LO04 Solve the problems of fragmentation ordered and unordered
LO05 Solve the problems of distributing
LO06 Uses probability of an event, the Rules of Probability Probability Axioms
LO07 Knows conditional Probability, Independent events
LO08 Applies Bayes Theorem


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 5
PLO02 - Emphasize the importance of Statistics in life 3
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 4
PLO05 - Use proper methods and techniques to gather and/or to arrange the data 3
PLO06 - Utilize computer systems and softwares 0
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 3
PLO09 - Make statistical inference(estimation, hypothesis tests etc.) 3
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 0
PLO13 - Distinguish the difference between the statistical methods 1
PLO14 - Be aware of the interaction between the disciplines related to statistics 1
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 3
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 1
PLO18 - Develop scientific and ethical values in the fields of statistics-and scientific data collection 3


Week Plan

Week Topic Preparation Methods
1 Counting rules Source reading
2 Permutations, circular permutations Source reading
3 All objects that are not different from each other permutations Source reading
4 Combinations, Pascal convention Source reading
5 Repeated combinations Source reading
6 Ordered and unordered partitions Source reading
7 Distributing Source reading
8 Mid-Term Exam Review the topics discussed in the lecture notes and sources
9 Distributing Source reading
10 Concept of Probability Source reading
11 Concept of Probability Source reading
12 Conditional Probability Source reading
13 Additive Rule and Independent Events Source reading
14 Probability Distributions Source reading
15 Solving 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 2 28
Out of Class Study (Preliminary Work, Practice) 14 2 28
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 6 6
Final Exam 1 16 16
Total Workload (Hour) 78
Total Workload / 25 (h) 3,12
ECTS 3 ECTS

Update Time: 29.04.2025 02:15