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Course Description Course Name : Statistical Methods in Environmental Engineering Course Code : ÇM-531 Course Type : Optional Level of Course : Second Cycle Year of Study : 1 Course Semester : Fall (16 Weeks) ECTS : 5 Name of Lecturer(s) : Prof.Dr. GALİP SEÇKİN Learning Outcomes of the Course : Knows Probability and Statistics. Mode of Delivery : Face-to-Face Prerequisites and Co-Prerequisites : None Recommended Optional Programme Components : None Aim(s) of Course : To Improve knowledge in the statistical analysis and graphical representation of the measured data of Physical, biological, and chemical treatment. Course Contents : The statistical analysis of the measured data and graphical representations of physical, biological, and chemical treatment, .Regression (linear and multiple regression), correlation, analysis of variance and error and understanding of probability and sampling distributions. Confidence intervals, hypothesis tests and conformity. Language of Instruction : Turkish Work Place : Classroom   Course Outline /Schedule (Weekly) Planned Learning Activities Week Subject Student's Preliminary Work Learning Activities and Teaching Methods 1 Set Theory and the Sample Space Reviewing related sections in guided materials,investigating subject titles given to students for presentations in the beginning of the semester Explanation and presentation 2 Permutations and Combinations Reviewing related sections in guided materials,investigating subject titles given to students for presentations in the beginning of the semester Explanation and presentation 3 Introduction to Probability Reviewing related sections in guided materials,investigating subject titles given to students for presentations in the beginning of the semester Explanation and presentation 4 Random Variables and Distributions Reviewing related sections in guided materials,investigating subject titles given to students for presentations in the beginning of the semester Explanation and presentation 5 Distributions of Some Discrete Probability Reviewing related sections in guided materials,investigating subject titles given to students for presentations in the beginning of the semester Explanation and presentation 6 Distribution of Continuous Random Variables Reviewing related sections in guided materials,investigating subject titles given to students for presentations in the beginning of the semester Explanation and presentation 7 Sample Selection and Data Preparation and Analysis Reviewing related sections in guided materials,investigating subject titles given to students for presentations in the beginning of the semester Explanation and presentation 8 Mid term exam Review of course materials writtenexam 9 Sampling Distributions and Estimation reviewing class notes and guided materials should be reviewed, investigating presentation subjects Explanation and presentation 10 Statistical Inference: Hypothesis Testing reviewing class notes and guided materials should be reviewed, investigating presentation subjects Explanation and presentation 11 Regression and Correlation reviewing class notes and guided materials should be reviewed, investigating presentation subjects Explanation and presentation 12 Analysis of Variance reviewing class notes and guided materials should be reviewed, investigating presentation subjects Explanation and presentation 13 Index Numbers reviewing class notes and guided materials should be reviewed, investigating presentation subjects Explanation and presentation 14 Analysis of Time Series reviewing class notes and guided materials should be reviewed, investigating presentation subjects Explanation and presentation 15 Combinatorial Analysis, Probability Theory Problems reviewing class notes and guided materials should be reviewed, investigating presentation subjects Explanation and presentation 16/17 Final exam reviewing class notes and the presentations made in class written exam   Required Course Resources Resource Type Resource Name Recommended Course Material(s)     Required Course Material(s)   Assessment Methods and Assessment Criteria Semester/Year Assessments Number Contribution Percentage     Mid-term Exams (Written, Oral, etc.) 1 70     Homeworks/Projects/Others 13 30 Total 100 Rate of Semester/Year Assessments to Success 40   Final Assessments 100 Rate of Final Assessments to Success 60 Total 100   Contribution of the Course to Key Learning Outcomes # Key Learning Outcome Contribution* 1 Has the command of a foreign language at a level to translate and understand an article written in. 3 2 Uses advanced information and communication technologies along with the required level of his computer software. 5 3 Improves and provides required information on the basis of the basic competencies gained at the undergraduate level in the field of Environmental Engineering. 5 4 Understands the interdisciplinary interactions related to their field. 5 5 Uses the theoretical and practical knowledge at his specialized level in his field. 5 6 Combines and comments on the knowledge in their area with various scientific discipline and ability to produce new knowledge, to be able to solve the problems demanding expertise using scientific methods. 5 7 Describes the problem independently in their field, evaluates solving methods, comments on the results and applies of the results when necessary. 5 8 Develops new strategic methods in order to solve unexpected complex problems encountered related to their field and takes initiatives to formulate a solution. 5 9 Analyses the knowledge in his field in a critical way and and directs his learning and performs advanced level research independetly 4 10 Examines, develops social relationships and the norms which diverts these social relationships with a critical view of and acts to change them if necessary. 3 11 Transfers current developments in the field of his studies, supporting them with quantitative and qualitative data, systematically to the area outside of the field, written, orally and visually. 4 12 Develops plans of strategy, policy, and implementation issues related to their area and evaluates results obtained within the framework of processes of quality. 4 13 Uses knowledge in their field for problem solving and / or practical skills in interdisciplinary studies. 5 14 Teaches each and supervises scientific and ethical values at the stages of data collection, interpretation related to their field. 5 * Contribution levels are between 0 (not) and 5 (maximum).   Student Workload - ECTS Works Number Time (Hour) Total Workload (Hour) Course Related Works     Class Time (Exam weeks are excluded) 13 4 52     Out of Class Study (Preliminary Work, Practice) 13 3 39 Assesment Related Works     Homeworks, Projects, Others 13 3 39     Mid-term Exams (Written, Oral, etc.) 1 2 2     Final Exam 1 2 2 Total Workload: 134 Total Workload / 25 (h): 5.36 ECTS Credit: 5