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Information
| Unit | FACULTY OF FISHERIES |
| AQUA PRODUCTS ENGINEERING PR. | |
| Code | SUF201 |
| Name | Statistics |
| Term | 2017-2018 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 |
| Label | C Compulsory |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Prof. Dr. MAKBULE BAYLAN |
| Course Instructor |
Prof. Dr. MAKBULE BAYLAN
(Güz)
(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
Yok
Resources
Notes
Ders Notu ve KitaplarDiger Kaynaklar
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 |
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 | Explains basic information about ecosystem, biodiversity and sustainable resource management, design, planning and use of technology. | |
| PLO03 | Bilgi - Kuramsal, Olgusal | Explains the strategies, methods and techniques related to fisheries, measurement and evaluation methods | 4 |
| PLO04 | Bilgi - Kuramsal, Olgusal | Explains the production and/or processing processes related to aquatic products. | 3 |
| PLO05 | Beceriler - Bilişsel, Uygulamalı | Evaluates the accuracy, reliability and currency of the information about fisheries | 2 |
| PLO06 | Beceriler - Bilişsel, Uygulamalı | Examines events and cases with the scientific method by using theoretical and practical knowledge. | 3 |
| PLO07 | Beceriler - Bilişsel, Uygulamalı | Investigates the problems related to fisheries using scientific methods. | 1 |
| 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. | 1 |
| 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 | Has the ability to access and use information. | 1 |
| PLO13 | Yetkinlikler - Öğrenme Yetkinliği | Uses the knowledge about fisheries for the benefit of society. | 2 |
| PLO14 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Follows the events on the agenda of society and the world. | |
| PLO15 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Produces projects by taking into account the problems and needs of the social environment in which they live. | |
| PLO16 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Shares the knowledge and skills acquired in fisheries on various platforms in order to raise awareness of the society. | |
| PLO17 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | To be able to use a foreign language to follow the resources related to the field and to communicate with colleagues. | |
| PLO18 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Uses information and communication technologies related to fisheries. | 2 |
| PLO19 | Yetkinlikler - Alana Özgü Yetkinlik | Carries out studies in the fields of ecosystem, biodiversity and sustainable resource management, aquaculture, fisheries and processing technology. | |
| PLO20 | Yetkinlikler - Alana Özgü Yetkinlik | Prepares and manages projects related to fisheries, taking into account environmental, technical, technological and economic aspects. | 1 |
| PLO21 | Yetkinlikler - Alana Özgü Yetkinlik | Acts in accordance with scientific, cultural and ethical values. | |
| PLO22 | Yetkinlikler - Alana Özgü Yetkinlik | Know the legislation related to the field and act accordingly. |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Introduction | ||
| 2 | The basic concepts and symbols | Reading related sources | |
| 3 | Data classification and graph screening | Reading related sources | |
| 4 | Location measurements | Reading related sources | |
| 5 | Dispersion measures | Reading related sources | |
| 6 | Probability and counting rules | Reading related sources | |
| 7 | Chance variables and Probability functions | Reading related sources | |
| 8 | Mid-term exam | Preparing for exam | |
| 9 | Binomial and Poisson distributions | Reading related sources | |
| 10 | Normal distribution | Reading related sources | |
| 11 | Hypothesis testing (Z- and T- Tests) | Reading related sources | |
| 12 | Confidence Interval | Reading related sources | |
| 13 | Chi-square distribution and Chi-square test | Reading related sources | |
| 14 | Regression analyses | Reading related sources | |
| 15 | Correlation analyses | Reading related sources | |
| 16 | FINAL | Preparing for exam | |
| 17 | FINAL | Preparing for exam |
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 | 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 | ||