SUF201 Statistics

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

Information

Code SUF201
Name Statistics
Semester 3. Semester
Duration (T+A) 2-2 (T-A) (17 Week)
ECTS 4 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Lisans Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. MAKBULE BAYLAN


Course Goal

Teaching Data, Measures of Location, Distribution Measures, Probability, discrete and continuous probability functions, distributions, hypothesis testing, confidence intervals, such as regression and correlation with the basic statistical concepts and methods.

Course Content

Introduction to statistics, basic concepts and symbols, frequency distributions, measures of location (mean, weighted mean, median, mod and geometric mean), measures of dispersion (range, variance, standard error of mean, coefficient of variation), probability, discrete distributions (Binomial, Poisson), normal distribution, hypothesis testing (z- and t- tests), chi-square test, analysis of regression and correlation.

Course Precondition

None

Resources

M. AKAR, S. ŞAHİNOĞLU, 1993 İSTATİSTİK. Ç.Ü. ZİRAAT FAK. YAY. ADANA.

Notes

H. PÜSKÜLCÜ, F. İKİZ 1983. İSTATİSTİĞE GİRİŞ, E.Ü. MÜHENDİSLİK FAKÜLTESİ DERS KİTABI, İZMİR.


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Understanding the importance of statistical engineering
LO02 being able to solve problems in profession and other subjects using statistical methods and techniques
LO03 learning the basic concepts of statistics, the formation and analysis of data
LO04 Developing the ability to identify, interpret and draw appropriate statistical methods for the situation
LO05 Examines and interprets research with scientific methods and techniques
LO06 Collects data in the field of fisheries, conducts basic experimental studies, evaluates the results, defines problems and develops solutions.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Having knowledge on “natural and applied sciences” and “basic engineering”; combination of their theoretical and practical knowledge on fisheries engineering applications.
PLO02 Bilgi - Kuramsal, Olgusal Assessment of data scientifically on fisheries engineering, determining and solving the problems 5
PLO03 Bilgi - Kuramsal, Olgusal Uses theoretical and practical knowledge in the field of fisheries to design; investigates and interprets events and phenomena usig scientific methods and techniques.
PLO04 Bilgi - Kuramsal, Olgusal Collecting data in fisheries science, making the basic experimental studies, evaluating the results, identifying the problems and developing methods of solution 4
PLO05 Bilgi - Kuramsal, Olgusal Having plan any study related to fisheries science as an individually, managing and consulting. 3
PLO06 Bilgi - Kuramsal, Olgusal Learning the knowledge by the determining learning needs; developing positive attitude towards lifelong learning
PLO07 Beceriler - Bilişsel, Uygulamalı Communicating oral and written in expertise field, monitoring the seminars and meeting in expertise field, following the foreign language publication. 3
PLO08 Beceriler - Bilişsel, Uygulamalı Improving life-long learning attitude and using the information to the public interest.
PLO09 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Creating public awareness about fisheries and having the ability to ensure sustainable use of aquatic resources.
PLO10 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Communicating oral and written effectively, participating the seminars and meetings in expertise field, following the foreign language publications.
PLO11 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Using the informatics and communicating technology 4
PLO12 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Improves constantly itself , as well as professional development scientific, social, cultural and artistic fields according to his/her interests and abilities identifying needs of learning.
PLO13 Yetkinlikler - Öğrenme Yetkinliği Gaining competence to determine the current status of aquatic resources and its sustainable use, water pollution and control, and biotechnology areas.
PLO14 Yetkinlikler - Öğrenme Yetkinliği Having ability to promote the study about aquaculture techniques by saving the natural environment, fishery diseases, fishing and processing technology, structure of fishery sector, problems and solution of their expertise field 2
PLO15 Yetkinlikler - Öğrenme Yetkinliği Ability to act in accordance with the regulation, social, scientific, cultural, and ethical values on fisheries field


Week Plan

Week Topic Preparation Methods
1 Introduction Reading related sources Öğretim Yöntemleri:
Anlatım
2 The basic concepts and symbols Reading related sources Öğretim Yöntemleri:
Anlatım
3 Data classification and graph screening Reading related sources Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama
4 Location measurements Reading related sources Öğretim Yöntemleri:
Anlatım, Soru-Cevap
5 Dispersion measures Reading related sources Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
6 Probability and counting rules Reading related sources Öğretim Yöntemleri:
Anlatım, Örnek Olay
7 Chance variables and Probability functions Reading related sources Öğretim Yöntemleri:
Anlatım, Örnek Olay
8 Mid-term exam Preparing for exam Ölçme Yöntemleri:
Yazılı Sınav
9 Binomial and Poisson distributions Reading related sources Öğretim Yöntemleri:
Anlatım, Soru-Cevap
10 Normal distribution Reading related sources Öğretim Yöntemleri:
Anlatım, Tartışma, Soru-Cevap
11 Hypothesis testing (Z- and T- Tests) Reading related sources Öğretim Yöntemleri:
Anlatım, Gösterip Yaptırma, Soru-Cevap
12 Confidence Interval Reading related sources Öğretim Yöntemleri:
Anlatım, Soru-Cevap
13 Chi-square distribution and Chi-square test Reading related sources Öğretim Yöntemleri:
Anlatım, Soru-Cevap
14 Regression analyses Reading related sources Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
15 Correlation analyses Reading related sources Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
16 Terms Exam Preparing for exam Ölçme Yöntemleri:
Yazılı Sınav
17 Terms Exam Preparing for exam Ölçme Yöntemleri:
Yazılı Sınav


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 4 56
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 8 8
Final Exam 1 16 16
Total Workload (Hour) 108
Total Workload / 25 (h) 4,32
ECTS 4 ECTS