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Information
| Unit | FACULTY OF FISHERIES |
| AQUA PRODUCTS ENGINEERING PR. | |
| Code | SUF201 |
| Name | Statistics |
| Term | 2019-2020 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 | - | Having knowledge on “natural and applied sciences” and “basic engineering”; combination of their theoretical and practical knowledge on fisheries engineering applications. | 5 |
| PLO02 | - | 2. Assessment of data scientifically on fisheries engineering, determining and solving the problems | 5 |
| PLO03 | - | 3. Uses theoretical and practical knowledge in the field of fisheries to design; investigates and interprets events and phenomena usig scientific methods and techniques. | 3 |
| PLO04 | - | 4. Collecting data in fisheries science, making the basic experimental studies, evaluating the results, identifying the problems and developing methods of solution | 5 |
| PLO05 | - | 5. Having plan any study related to fisheries science as an individually, managing and consulting. | 5 |
| PLO06 | - | 6.Learning the knowledge by the determining learning needs; developing positive attitude towards lifelong learning | 4 |
| PLO07 | - | 7. Communicating oral and written in expertise field, monitoring the seminars and meeting in expertise field, following the foreign language publication. | 3 |
| PLO08 | - | 8. Improving life-long learning attitude and using the information to the public interest. | 0 |
| PLO09 | - | 9. Creating public awareness about fisheries and having the ability to ensure sustainable use of aquatic resources. | 3 |
| PLO10 | - | 10. Communicating oral and written effectively, participating the seminars and meetings in expertise field, following the foreign language publications. | 5 |
| PLO11 | - | 11. Using the informatics and communicating technology | 0 |
| PLO12 | - | 12. 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. | 0 |
| PLO13 | - | 13. Gaining competence to determine the current status of aquatic resources and its sustainable use, water pollution and control, and biotechnology areas. | 2 |
| PLO14 | - | 14. 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 | 4 |
| PLO15 | - | 15. Ability to act in accordance with the regulation, social, scientific, cultural, and ethical values on fisheries field | 0 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Introduction | Reading related sources | |
| 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 | ||