SUF201 Statistics

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

Information

Code SUF201
Name Statistics
Term 2024-2025 Academic Year
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 Instructor Prof. Dr. MAKBULE BAYLAN (A Group) (Ins. in Charge)


Course Goal / Objective

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 Explains the basic concepts and principles of science and basic engineering branches.
PLO02 Bilgi - Kuramsal, Olgusal Evaluates the accuracy, reliability and currency of the information about fisheries 5
PLO03 Bilgi - Kuramsal, Olgusal Explains basic information about ecosystem, biodiversity and sustainable resource management, design, planning and use of technology.
PLO04 Bilgi - Kuramsal, Olgusal Explains the strategies, methods and techniques related to fisheries, measurement and evaluation methods 4
PLO05 Bilgi - Kuramsal, Olgusal Explains the production and/or processing processes related to seafood products. 3
PLO06 Beceriler - Bilişsel, Uygulamalı Investigates the problems related to fisheries using scientific methods.
PLO07 Beceriler - Bilişsel, Uygulamalı Examines events and cases with the scientific method by using theoretical and practical knowledge about fisheries. 3
PLO08 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği To have the skills and competence required for duties such as consultancy, auditing and expertise in businesses related to fisheries.
PLO09 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Takes responsibility individually or as a team member to solve problems encountered in fisheries related enterprises
PLO10 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Conducts interdisciplinary studies related to fisheries.
PLO11 Yetkinlikler - Öğrenme Yetkinliği Develops a positive attitude towards lifelong learning to learn continuously innovated knowledge and skills related to fisheries. 4
PLO12 Yetkinlikler - Öğrenme Yetkinliği Queries the accuracy of information related to fisheries.
PLO13 Yetkinlikler - Öğrenme Yetkinliği Have the ability to access and use information.
PLO14 Yetkinlikler - Öğrenme Yetkinliği Uses the information about fisheries for the benefit of society. 2
PLO15 Yetkinlikler - İletişim ve Sosyal Yetkinlik Follows the events on the social and world agenda.
PLO16 Yetkinlikler - İletişim ve Sosyal Yetkinlik Produces projects by taking into account the problems and needs of the social environment in which they live.
PLO17 Yetkinlikler - İletişim ve Sosyal Yetkinlik Shares the knowledge and skills acquired in fisheries on various platforms in order to raise awareness of the society.
PLO18 Yetkinlikler - İletişim ve Sosyal Yetkinlik Uses a foreign language at a sufficient level to follow the resources related to the field and communicate with colleagues.
PLO19 Yetkinlikler - İletişim ve Sosyal Yetkinlik Uses information and communication technologies related to fisheries.
PLO20 Yetkinlikler - Alana Özgü Yetkinlik Carries out studies in the fields of ecosystem, biodiversity and sustainable resource management, aquaculture, fisheries and processing technology.
PLO21 Yetkinlikler - Alana Özgü Yetkinlik Prepares and manages projects related to fisheries, taking into account environmental, technical, technological and economic aspects.
PLO22 Yetkinlikler - Alana Özgü Yetkinlik Acts in accordance with scientific, cultural and ethical values.
PLO23 Yetkinlikler - Alana Özgü Yetkinlik Know the legislation related to the field and act accordingly.


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

Update Time: 09.05.2024 09:45