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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
CENG 241SCIENTIFIC COMPUTING3 + 03rd Semester5

COURSE DESCRIPTION
Course Level Bachelor's Degree
Course Type Compulsory
Course Objective To teach the general usage of scientific computing packages for the analysis and solution of engineering problems and to gain the ability of scientific computing and programming to the students.
Course Content Distinctive features of scientific computing/ Visualization / Programming / Linear algebra applications / Numerical methods / Interface design / Symbolic operations / Sample applications.
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1Understands the distinctive features of scientific computation.
2Make numerical and visual analysis with scientific computing.
3Students can design interface.
4Students can work based on symbolic operations.
5Students have knowledge about simulation of real-time applications.

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11PO 12
LO 00132    2     
LO 002553235322   
LO 003554335343   
LO 004453235222   
LO 00555444322    
Sub Total22221411131812107   
Contribution443234221000

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)14342
Mid-terms11010
Final examination11010
Report / Project12626
Total Work Load

ECTS Credit of the Course






130

5
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2023-2024 Fall1SEZAİ TOKAT
Details 2023-2024 Fall2SEZAİ TOKAT


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Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester
CENG 241 SCIENTIFIC COMPUTING 3 + 0 1 Turkish 2023-2024 Fall
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Prof. Dr. SEZAİ TOKAT stokat@pau.edu.tr MUH A0327 %
Goals To teach the general usage of scientific computing packages for the analysis and solution of engineering problems and to gain the ability of scientific computing and programming to the students.
Content Distinctive features of scientific computing/ Visualization / Programming / Linear algebra applications / Numerical methods / Interface design / Symbolic operations / Sample applications.
Topics
WeeksTopics
1 Introduction, Distictive features of scientific computing, definitions of numeric and symbolic computing
2 Command window
3 Arithmetic
4 Graphic operations
5 Matrices
6 Operators and Flow Control
7 M-Files
8 Linear Algebra
9 More on functions
10 Numerical Methods: data fitting, optimization
11 Numerical Methods: ODE, quadrature
12 Input-output
13 Hata ayıklama, Uyarılar, Vektörizasyon
14 Symbolic operations
Materials
Materials are not specified.
Resources
ResourcesResources Language
Higham and Higham, Matlab Guide, SIAM PublishingEnglish
Sandeep Nagar, Introduction to Octave: For Engineers and Scientists, Apress, 2018Türkçe
Course Assessment
Assesment MethodsPercentage (%)Assesment Methods Title
Final Exam60Final Exam
Midterm Exam40Midterm Exam
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes