Code |
Name of the Course Unit |
Semester |
In-Class Hours (T+P) |
Credit |
ECTS Credit |
MAT207 |
PROBABILITY AND STATISTICS |
3 |
3 |
3 |
5 |
GENERAL INFORMATION |
Language of Instruction : |
Turkish |
Level of the Course Unit : |
BACHELOR'S DEGREE, TYY: + 6.Level, EQF-LLL: 6.Level, QF-EHEA: First Cycle |
Type of the Course : |
Compulsory |
Mode of Delivery of the Course Unit |
- |
Coordinator of the Course Unit |
Assist.Prof. BİNNUR GÜRÜL |
Instructor(s) of the Course Unit |
Assist.Prof. BAHADIR KOPÇASIZ-Assist.Prof. FERHAT KÜRÜZ-Assist.Prof. ZEHRA CİVAN |
Course Prerequisite |
No |
OBJECTIVES AND CONTENTS |
Objectives of the Course Unit: |
Identifies problem in the field of statistic problem and find solution,prerares reports for
statistic problem, solving continious random variable problem and normal distributio |
Contents of the Course Unit: |
Introduction of basic statistical concepts, central tendency and variability
measures,probability, intermittent and continuous distributions , binom and poisson,
continuous distributions and normal distrubituon applications |
KEY LEARNING OUTCOMES OF THE COURSE UNIT (On successful completion of this course unit, students/learners will or will be able to) |
Know the basic concepts of probability theory. |
Use common probability distributions and analyse their properties. |
Compute conditional probability distributions and conditional expectations. |
Compute distributions by use of transformation techniques and solve problems. |
Define and use the properties of Stochastic processes, especially Gaussian and Poisson Processes. |
WEEKLY COURSE CONTENTS AND STUDY MATERIALS FOR PRELIMINARY & FURTHER STUDY |
Week |
Preparatory |
Topics(Subjects) |
Method |
1 |
- |
Introduction of statistic science |
- |
2 |
- |
Statstic error,main and sample mass |
- |
3 |
- |
Frequency distrubution and histogram |
- |
4 |
- |
Aritmetic mean,mode, median |
- |
5 |
- |
Change interval, average deviation,variance |
- |
6 |
- |
Standart deviation,coefficient of variation |
- |
7 |
- |
Introduction of probability |
- |
8 |
- |
MID-TERM EXAM |
- |
9 |
- |
Conditional probability |
- |
10 |
- |
Dependent and independent variables |
- |
11 |
- |
Dependent and independent events |
- |
12 |
- |
Discrete random variable and binom distribution |
- |
13 |
- |
Discrete random variable and poisson distribution |
- |
14 |
- |
Continuous random variable and normal distribution |
- |
15 |
- |
Preparation for Final exam |
- |
16 |
- |
FINAL EXAM |
- |
17 |
- |
FINAL EXAM |
- |
SOURCE MATERIALS & RECOMMENDED READING |
Mühendislik İstatistiği;Montgomery,Runger,Hubele;Çeviri:Coşkun ÖZKAN,Palme Yayıncılık2017 |
Matemetiksel İstatistik,Mustafa Aytaç, Ezgi yayınları,Ankara Üniv.yayını,1999 |
Örnekleme Teorisi ve işletme yönetiminde uygulaması,Orhan İdil,İ.Ü. Yayını,1980 |
Matemetiksel İstatistiğe giriş,Uğur Korum,Ankara üniversitesi,1971 |
Yönetimde istatistik teknikler ve örnek olaylar, Orhan İdil,İst. Gelişim Üniv. ,1979 |
ASSESSMENT |
Assessment & Grading of In-Term Activities |
Number of Activities |
Degree of Contribution (%) |
Description |
Level of Contribution |
0 |
1 |
2 |
3 |
4 |
5 |
CONTRIBUTION OF THE COURSE UNIT TO THE PROGRAMME LEARNING OUTCOMES
KNOWLEDGE |
Theoretical |
|
Programme Learning Outcomes |
Level of Contribution |
0 |
1 |
2 |
3 |
4 |
5 |
1 |
Gain sufficient knowledge in Mathematics, Science and Industrial Engineering.
|
|
|
|
3 |
|
|
KNOWLEDGE |
Factual |
|
Programme Learning Outcomes |
Level of Contribution |
0 |
1 |
2 |
3 |
4 |
5 |
1 |
Analyzes and evaluates existing application areas in the field of Industrial Engineering and develops applications for their solutions.
|
|
|
|
3 |
|
|
SKILLS |
Cognitive |
|
Programme Learning Outcomes |
Level of Contribution |
0 |
1 |
2 |
3 |
4 |
5 |
1 |
Analyzes a system, the components of that system, the process of that system, and designs the system by examining it in line with realistic constraints and goals.
|
|
|
|
|
|
5 |
2 |
Gains the ability to model and solve engineering problems.
|
|
|
|
3 |
|
|
SKILLS |
Practical |
|
Programme Learning Outcomes |
Level of Contribution |
0 |
1 |
2 |
3 |
4 |
5 |
1 |
Identifies the problems that may be encountered in the field of industrial engineering and acquires the ability to choose and apply the appropriate method to be used in problem solving.
|
|
|
|
3 |
|
|
2 |
Selects and uses technical tools necessary for industrial engineering applications; uses information technologies effectively.
|
|
|
|
3 |
|
|
3 |
Designs experiments, conducts experiments, collects data, analyzes and interprets the results to examine problems in the field of industrial engineering.
|
|
|
|
|
4 |
|
OCCUPATIONAL |
Autonomy & Responsibility |
|
Programme Learning Outcomes |
Level of Contribution |
0 |
1 |
2 |
3 |
4 |
5 |
1 |
Gains the ability to work effectively within a team.
|
|
|
|
|
4 |
|
2 |
Works effectively individually and takes responsibility.
|
|
|
|
3 |
|
|
OCCUPATIONAL |
Learning to Learn |
|
Programme Learning Outcomes |
Level of Contribution |
0 |
1 |
2 |
3 |
4 |
5 |
1 |
Accesses the necessary information for a determined problem and searches for resources for this purpose.
|
|
|
|
|
4 |
|
2 |
Has the ability to follow all developments in the field of industrial engineering and constantly renew itself.
|
|
|
|
3 |
|
|
OCCUPATIONAL |
Communication & Social |
|
Programme Learning Outcomes |
Level of Contribution |
0 |
1 |
2 |
3 |
4 |
5 |
1 |
Gains oral and written communication skills and speaks at least one foreign language.
|
|
1 |
|
|
|
|
OCCUPATIONAL |
Occupational and/or Vocational |
|
Programme Learning Outcomes |
Level of Contribution |
0 |
1 |
2 |
3 |
4 |
5 |
1 |
Has awareness of professional and ethical responsibility.
|
|
1 |
|
|
|
|
2 |
Has knowledge about the universal and social effects of industrial engineering applications and reaches solutions by being aware of the importance of an innovative approach in solving engineering problems.
|
|
|
|
3 |
|
|
WORKLOAD & ECTS CREDITS OF THE COURSE UNIT |
Workload for Learning & Teaching Activities |
Type of the Learning Activites |
Learning Activities (# of week) |
Duration (hours, h) |
Workload (h) |
Lecture & In-Class Activities |
14 |
3 |
42 |
Preliminary & Further Study |
14 |
3 |
42 |
Land Surveying |
0 |
0 |
0 |
Group Work |
0 |
0 |
0 |
Laboratory |
0 |
0 |
0 |
Reading |
0 |
0 |
0 |
Assignment (Homework) |
3 |
5 |
15 |
Project Work |
0 |
0 |
0 |
Seminar |
0 |
0 |
0 |
Internship |
0 |
0 |
0 |
Technical Visit |
0 |
0 |
0 |
Web Based Learning |
0 |
0 |
0 |
Implementation/Application/Practice |
0 |
0 |
0 |
Practice at a workplace |
0 |
0 |
0 |
Occupational Activity |
0 |
0 |
0 |
Social Activity |
0 |
0 |
0 |
Thesis Work |
0 |
0 |
0 |
Field Study |
0 |
0 |
0 |
Report Writing |
0 |
0 |
0 |
Final Exam |
1 |
1 |
1 |
Preparation for the Final Exam |
5 |
3 |
15 |
Mid-Term Exam |
1 |
1 |
1 |
Preparation for the Mid-Term Exam |
5 |
2 |
10 |
Short Exam |
1 |
2 |
2 |
Preparation for the Short Exam |
1 |
3 |
3 |
TOTAL |
45 |
0 |
131 |
|
Total Workload of the Course Unit |
131 |
|
|
Workload (h) / 25.5 |
5,1 |
|
|
ECTS Credits allocated for the Course Unit |
5,0 |
|