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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
CIVE 218ENGINEERING MATHEMATICS3 + 04th Semester3

COURSE DESCRIPTION
Course Level Bachelor's Degree
Course Type Elective
Course Objective To prepare the students to the their career showing how the engineering designs and numerical solutions are made.
Course Content Introduction, error analysis, Approximate solutions of the linear and non-linear equations, least square method, approximate solutions of the differential equations.
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1Learning non-linear equations
2Solution of linear equations
3Method of least square errors
4Finite element methods
5Approximate solutions of the differential equations

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11
LO 001         44
LO 002         44
LO 0034  343   44
LO 0044443 43 344
LO 005  4344   44
Sub Total84898113 32020
Contribution21222210144

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14342
Hours for off-the-classroom study (Pre-study, practice)14114
Mid-terms11010
Final examination11212
Total Work Load

ECTS Credit of the Course






78

3
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2019-2020 Summer1ABDULLAH CEM KOÇ


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Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester
CIVE 218 ENGINEERING MATHEMATICS 3 + 0 1 Turkish 2019-2020 Summer
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Prof. Dr. ABDULLAH CEM KOÇ a_c_koc@pau.edu.tr MUH B0128 MUH B0129 %70
Goals To prepare the students to the their career showing how the engineering designs and numerical solutions are made.
Content Introduction, error analysis, Approximate solutions of the linear and non-linear equations, least square method, approximate solutions of the differential equations.
Topics
WeeksTopics
1 Introduction
2 Programming with MATLAB
3 Programming with MATLAB
4 Round and Trim error
5 Roots of equations
6 Nonlinear equation systems
7 Linear algebraic equations
8 Regression
9 Interpolation
10 Numerical integration
11 Numerical differentiation
12 Ordinary differential equations
13 Boundary value and eigenvalue problems
14 Partial diffferential equations
Materials
Materials are not specified.
Resources
ResourcesResources Language
Mühendisler İçin Sayısal Yöntemler, Steven C. Chapra ve Raymond P. Canale, Literatür YayıncılıkTürkçe
Sayısal Hesaplama ve Programlama, Prof. Dr. Fahri Vatansever, Seçkin YayıneviTürkçe
Course Assessment
Assesment MethodsPercentage (%)Assesment Methods Title
Final Exam50Final Exam
Midterm Exam50Midterm Exam
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes