FACULTY OF ENGINEERING
CIVIL ENGINEERING
Course Name   Statistics and Numerical Methods for Engineers
Semester Course Code Theoretical / Practice time ECTS
3 1204325 4 / 0 5
Course Degree Bachelor's degree
Course Language Turkish
Format of Delivery: Face to Face
Course Coordinator Assist. Prof. Dr. Adnan KARADUMAN
Coordinator e-mail akaraduman selcuk.edu.tr
Instructors
Yrd. Doç. Dr. Alpaslan YARAR , Yrd.Doç.Dr. Adnan KARADUMAN
Asistant Instructors
Course Objectives To Develop the students abilities of usage the mathematical and statistical methods on engineering problems.
Basic Sciences Engineering Scinces Social Sciences Educational Sciences Artistic sciences Medical Science Agricultural sciences
10 80 10 0 0 0 0
Course Learning Methods and Techniquies
First, lecturing the theoretical subjects, then solving the problems related with topics.
Week Course Content Resource
1 Matrix and determinants Lecture notes of the statistics and the numerical analysis
2 Matrix inverses and examples Lecture notes of the statistics and the numerical analysis
3 Linear Equation Systems Lecture notes of the statistics and the numerical analysis
4 Nonlinear Equation Systems Lecture notes of the statistics and the numerical analysis
5 Curve Fitting Lecture notes of the statistics and the numerical analysis
6 Interpolation Lecture notes of the statistics and the numerical analysis
7 Numerical Integrals Lecture notes of the statistics and the numerical analysis
8 Definitions of the Statistics
9 Populations, Samples, Probability Distributions Lecture notes of the statistics and the numerical analysis
10 Midterm Exam Lecture notes of the statistics and the numerical analysis
11 Binomial Distributions Lecture notes of the statistics and the numerical analysis
12 Poisson Distributions Lecture notes of the statistics and the numerical analysis
13 Chi-Square Distributions Lecture notes of the statistics and the numerical analysis
14 Normal Distributions Lecture notes of the statistics and the numerical analysis
15 Examples Lecture notes of the statistics and the numerical analysis
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 4
Classroom Work Time : 14 5
Presentations and Seminars : - -
Course Internship : - -
Workshop / Laboratory Applications : - -
Field Studies : - -
Case studies : - -
Projects : - -
Homework : - -
Quiz : - -
Mid-term exam : 1 12
Final Exam : 1 12
ECTS 5
No COURSE LEARNING OUTCOMES CONTRIBUTION
D.Ö.Ç. 1 To learn the matrix and determinant 4
D.Ö.Ç. 2 To solve the linear equation systems 4
D.Ö.Ç. 3 To solve the nonlinear equation systems 4
D.Ö.Ç. 4 To solve the numerical integrals 4
D.Ö.Ç. 5 To learn the definitions of statistic 4
D.Ö.Ç. 6 To learn the Binomial, Poisson, Chi-Square and Normal Distributions 4
* 1: Zayıf - 2: Orta - 3: İyi - 4: Çok İyi
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