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Course Information
Course Unit Title : Statistical Methods in Water Quality Studies
Course Unit Code : 01JEO9617
Type of Course Unit : Optional
Level of Course Unit : Second Cycle
Year of Study : Preb
Semester : 255.Semester
Number of ECTS Credits Allocated : 6,00
Name of Lecturer(s) : ---
Course Assistants : ---
Learning Outcomes of The Course Unit : To learn basic statistical methods
To take information about water quality data collection and analysis of information
To learn statistical methods
To learn the statistical evaluation of water quality parameters
Mode of Delivery : Face-To-Face
Prerequisities and Co-requisities Courses : Unavailable
Recommended Optional Programme Components : Unavailable
Course Contents : What is statistics? Basic statistical methods, the importance of statistics in water quality studies, , quantitative water quality data, the importance of data collection, data preparation and coding, data analysis and use of relevant computer programs (SPSS), representation methods and interpretation of results
Languages of Instruction : Turkish-English
Course Goals : To aimed the feasibility of the statistical evaluation of water quality data
Course Aims : 1) To emphasize the importance of statistical assessments of water quality studies
2)To provide obtaining accurate and reliable results and statistical interpretations
WorkPlacement  
Recommended or Required Reading
Textbook : Statistical Methods in Water Quality Studies lecture notes (prepared by Şehnaz Şener)
Additional Resources : Özsoy, O. 2010. İstatistik, Siyasal Kitabevi, ISBN: 9756325364 Çokler, Ö., Şekercioğlu, G., Büyüköztürk, Ş. Sosyal Bilimler İçin Çok Değişkenli İstatistik: SPSS ve LISREL Uygulamaları, Pegem Akademi, ISBN Nu: 9789756802748 Büyüköztürk, Ş. Sosyal Bilimler için Veri Analizi El Kitabı İstatistik, Araştırma Deseni SPSS Uygulamaları ve Yorumu, Pagem Akademi, ISBN Nu: 9789756802748
Material Sharing
Documents :
Assignments :
Exams :
Additional Material :
Planned Learning Activities and Teaching Methods
Lectures, Practical Courses, Presentation, Seminar, Project, Laboratory Applications (if necessary)
ECTS / Table Of Workload (Number of ECTS credits allocated)
Student workload surveys utilized to determine ECTS credits.
Activity :
Number Duration Total  
Course Duration (Excluding Exam Week) :
3 14 42  
Time Of Studying Out Of Class :
3 14 42  
Homeworks :
4 6 24  
Presentation :
0 0 0  
Project :
0 0 0  
Lab Study :
0 0 0  
Field Study :
0 0 0  
Visas :
1 25 25  
Finals :
1 45 45  
Workload Hour (30) :
30  
Total Work Charge / Hour :
178  
Course's ECTS Credit :
6      
Assessment Methods and Criteria
Studies During Halfterm :
Number Co-Effient
Visa :
1 60
Quiz :
0 0
Homework :
1 40
Attendance :
0 0
Application :
0 0
Lab :
0 0
Project :
0 0
Workshop :
0 0
Seminary :
0 0
Field study :
0 0
   
TOTAL :
100
The ratio of the term to success :
40
The ratio of final to success :
60
TOTAL :
100
Weekly Detailed Course Content
Week Topics  
1 Description of statistics
  Study Materials: Lecture notes and related references indicated in additional reseources
2 Basic statistical methods
  Study Materials: Lecture notes and related references indicated in additional reseources
3 The importance of statistics in water quality studies,
  Study Materials: Lecture notes and related references indicated in additional reseources
4 Quantitative water quality data
  Study Materials: Lecture notes and related references indicated in additional reseources
5 The importance of data collection
  Study Materials: Lecture notes and related references indicated in additional reseources
6 Data preparation and coding,
  Study Materials: Lecture notes and related references indicated in additional reseources
7 Data analysis and use of relevant computer programs (SPSS),
  Study Materials: Lecture notes and related references indicated in additional reseources
8 Data analysis and use of relevant computer programs
  Study Materials: Lecture notes and related references indicated in additional reseources
9 Representation methods of results
  Study Materials: Lecture notes and related references indicated in additional reseources
10 Interpretation of results
  Study Materials: Lecture notes and related references indicated in additional reseources
11 Determining measures of central tendency and dispersion
  Study Materials: Lecture notes and related references indicated in additional reseources
12 Correlation and Regression Analysis
  Study Materials: Lecture notes and related references indicated in additional reseources
13 Time Series Analysis
  Study Materials: Lecture notes and related references indicated in additional reseources
14 General assessment
  Study Materials: Lecture notes and related references indicated in additional reseources