Course Information
Course Title Code Semester T + P ECTS
Probability and Statistics CEV216 4 3 + 0 6

Prerequisites None

Language Turkish
Level Bachelor's Degree
Type Elective
Coordinator Assist.Prof. Kadir ÖZDEMİR
Instructors Assist.Prof. Kadir ÖZDEMİR
Goals The aim of this lesson is to teach the fundementals of statistics and probaility,defineted suitable statistics methods.
Contents İntroduction, Fundementals of Probability, Distrubition of probability,Planing of research,İnvestegation of sample,Comparing of two or more society,Accumulation of statistics data,Evolation of data,Critize of data,İntroduction Statiscis, The methods and concepts of Statistics,Application areas of Statistics in Environmental Engineering.
Work Placement(s) Absent

Number Learning Outcomes
1 Students will teach the fundemantal concepts of statistics.
2 Students will not only to teach the rules of probability but also to teach calculation and concept of probability.
3 Students will teach the probability distributions and the using of hypothesis tests at the end of the lesson.
4 Students will teach the fundemantal methods of statistics at the end of the lesson.

Mode of Delivery Face-to-Face
Planned Learning Activities & Teaching Methods Explaninig the theoratical subject, ask-question and homework.
Assessment Methods Homework, examination.



Course Content
Week Topics Study Materials
1 İntroduction to probability theory Statistics II pages; 4-9
2 probability distrubitions Statistics II pages; 41-49
3 probability criteria and relative probability Statistics II pages; 75-78
4 introduction to statistics Statistics II pages; 14-19
5 Fundemantel concepts and methods, forecast and hypothesis tests Statistics II pages; 19-23
6 The choice of Sampling. Statistics II pages; 36-41
7 Fundemantel methods to statistics, forecast and hypothesis tests Statistics II pages; 84-93
8 Hypothesis tests Statistics II pages; 104-119
9 Compatibility tests based on X2 Statistics II pages; 304-318
10 Regression and Correlation Statistics II pages; 318-334
11 Regression and Correlation Statistics II pages; 341-360
12 Variance analysis and Time series Statistics II pages; 265-284
13 Application area of statistics Statistics II pages; 479-491
14 Application area of statistics Statistics II pages; 493-510



Sources
Textbook Statistics II, ( Prof. Gürsakal), Applicable Statistics ( Prof., Işık).
Additional Resources The Methods of Statistics analyses (Prof., Aloba)



Assessment System Quantity Percentage
In-Term Studies
Mid-terms 1 100
In-Term Total 1 100
Contribution of In-Term Studies to Overall 40
Contribution of Final Exam to Overall 60
Total 100





Course's Contribution to PLO
No Key Learning Outcomes Level
1 2 3 4 5
1 Engineering graduates with application skills of fundamental scientific knowledge in the engineering practice. x
2 Determines, defines, formulates and solves problems in engineering; fort his aim selects and applies the appropriate analytical models and modeling techniques.
3 Analyses a system, system component or process and in order to meet the requirements, designs under realistic conditions; thus applies modern techniques of design. x
4 Selects and uses modern techniques and devices necessary for engineering applications. x
5 Designs and carries out experiments, collects data, analyzes and comments on the findings.
6 Works effectively and individually on multi disciplinary teams. x
7 Accesses knowledge, and to do this, does research, uses databases and other data sources. x
8 Is aware of the importance of lifelong learning; follows advances in science and technology and updates his knowledge continuously. x
9 Uses communication and information technology at least at advanced level of European Computer Driving License
10 Communicates effectively both orally and in writing; uses a foreign language at least at B1 level of European Language Portfolio.
11 Communicates using technical drawing.
12 Has the awareness of Professional ethics and responsibility. x
13 Has awareness about Project management, workplace applications, health of workers, environment and work security; and about legal consequences of engineering applications.
14 Indicates that he is aware of the universal and social effects of engineering solutions and applications; is aware of entrepreneurship and innovativeness and is knowledgeable about the problems of the current age. x
15 Makes use of conceptual and applied knowledge in mathematics, science and in his own area in accordance for engineering solutions.



ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
Activities Quantity Duration (Hour) Total Work Load (h)
Course Duration 14 3 42
Hours for off-the-classroom study (Pre-study, practice) 14 7 98
Mid-terms 1 15 15
Final examination 1 15 15
Total Work Load (h) 170
Total Work Load / 30 (h) 5.67
ECTS Credit of the Course 6