Course Name Statistics and Applications in Engineering Semester Course Code Theoretical / Practice time ECTS 6 1210619 3 / 0 6
Course Degree Bachelor's degree
Course Language Turkish
Format of Delivery: Face to Face
Course Coordinator Assoc. Prof. Dr. İsmail KINACI
Coordinator e-mail ikinaci selcuk.edu.tr
Instructors
 Doç.Dr. İsmail KINACI
Asistant Instructors
Course Objectives This course aimed to learn statistic theory and basic probabilty theory.
 Basic Sciences Engineering Scinces Social Sciences Educational Sciences Artistic sciences Medical Science Agricultural sciences 40 60 0 0 0 0 0
 Course Learning Methods and Techniquies This course will done in a class or lab.
 Week Course Content Resource 1 Probability experiment, sample space,class, event, algebra,definition of sigma algebra and related samples and theorems Roussas,G.G.,A Course in Mathematical Statistics, 1997 2 Sum rule of probability and Bayes theorem and its applications Roussas,G.G.,A Course in Mathematical Statistics, 1997 3 Discrete event, independence of events,absolute independence and related theorems Roussas,G.G.,A Course in Mathematical Statistics, 1997 4 Discrete event, independence of events,absolute independence and related theorems Roussas,G.G.,A Course in Mathematical Statistics, 1997 5 Random variable concept, distribution function and its properties Ghahramani,S.Fundamentals of Probability with Stochastic Processes, 2005 6 Probability function and probability density functions Ghahramani,S.Fundamentals of Probability with Stochastic Processes, 2005 7 Expected value, variance, standard deviation, mod, median, quantiles and properties Ghahramani,S.Fundamentals of Probability with Stochastic Processes, 2005 8 Preparation for midterm exam Ghahramani,S.Fundamentals of Probability with Stochastic Processes, 2005 9 Some discrete distributions: uniform, bernoulli, binomial Akdeniz, F.Probability and Statistics, 2006 10 Some discrete distributions: poisson, negative binomial, hypergeometric Akdeniz, F.Probability and Statistics, 2006 11 Some discrete distributions: poisson, negative binomial, hypergeometric Akdeniz, F.Probability and Statistics, 2006 12 Some continuous distributions: exponential, gamma, chi-square, beta, t Akdeniz, F.Probability and Statistics, 2006 13 General revision Shahbazov, A.,Introduction to probability theory,2005 14 Preparation for final exam Shahbazov, A.,Introduction to probability theory,2005
 Assesment Criteria Mid-term exam Final exam Quantity Percentage Quantity Percentage Term Studies : - - - - Attendance / Participation : - - - - Practical Exam : - - - - Special Course Exam : - - - - Quiz : - - - - Homework : - - - - Presentations and Seminars : - - - - Projects : - - - - Workshop / Laboratory Applications : - - - - Case studies : - - - - Field Studies : - - - - Clinical Studies : - - - - Other Studies : - - - - Mid-term exam 1 40 - - Final exam - - 1 60
 ECTS WORK LOAD TABLE Number Duration Course Duration : 14 3 Classroom Work Time : 14 3 Presentations and Seminars : - Course Internship : - - Workshop / Laboratory Applications : - - Field Studies : - - Case studies : - - Projects : - - Homework : - - Quiz : - - Mid-term exam : 1 18 Final Exam : 1 18 ECTS 4
 No COURSE LEARNING OUTCOMES CONTRIBUTION D.Ö.Ç. 1 Student will have learan about probabilty theory. 4 D.Ö.Ç. 2 Student will have learan about statistical theory. 4
 * 1: Zayıf - 2: Orta - 3: İyi - 4: Çok İyi
 COURSE LEARNING OUTCOMES AND PROGRAM OUTCOMES AND RELATIONSHIPS MATRIX

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