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GRADUATE INSTITUTE of NATURAL and APPLIED SCIENCES / DEPARTMENT of MATHEMATICS
Doctorate
Course Catalog
http://www.fbe.ktu.edu.tr/
Phone: +90 0462 3772520
FBE
GRADUATE INSTITUTE of NATURAL and APPLIED SCIENCES / DEPARTMENT of MATHEMATICS / Doctorate
Katalog Ana Sayfa
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MATI7121@3+0+0ECTS:7.5
Year / SemesterFall Semester
Level of CourseThird Cycle
Status Elective
DepartmentDEPARTMENT of MATHEMATICS
Prerequisites and co-requisitesNone
Mode of Delivery
Contact Hours14 weeks - 3 hours of lectures per week
LecturerProf. Dr. Selçuk Han AYDIN
Co-Lecturer
Language of instruction
Professional practise ( internship ) None
 
The aim of the course:
Perform the mathematical computations using the modern mathematical softwares.
 
Programme OutcomesCTPOTOA
Upon successful completion of the course, the students will be able to :
PO - 1 : Gain the basic information about computer programming5,71,3,6,
PO - 2 : Learn the numerical methods for the solution of mathematical and engineering problems5,71,3,6,
CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), PO : Learning Outcome

 
Contents of the Course
Basic informations about the computer systems. Performing symbolic calculations. Using modern programming language for performing the mathemtatical calculations both symbolic and numerically. Writing computer programs for the solution of the basic numerical problems.
 
Course Syllabus
 WeekSubjectRelated Notes / Files
 Week 1Introduction
 Week 2Computer systems
 Week 3Principles of programming
 Week 4Data types and computer arithmetic
 Week 5Modern computer languages
 Week 6Symbolic calculation
 Week 7Programming wih Python
 Week 8Control statements and loops
 Week 9MidTerm
 Week 10Functions and subroutines
 Week 11Arrays and matrices
 Week 12Object oriented programming
 Week 13Plotting and Visualization
 Week 14Applications-1
 Week 15Applications-2
 Week 16Final
 
Textbook / Material
1Numerical Methods in Engineering with Python 3, Jaan Kiusalaas, Cambridge University Press
 
Recommended Reading
1Scientific Programming: Numeric, Symbolic, and Graphical Computing with Maxima, Jorge Alberto Calvo, Cambridge Scholars Publishing
2Introduction to Python for Engineers and Scientists: Open Source Solutions for Numerical Computation, Sandeep Nagar, APress
 
Method of Assessment
Type of assessmentWeek NoDate

Duration (hours)Weight (%)
Mid-term exam 9 12/11/2024 120 30
Homework/Assignment/Term-paper 5
12
15/10/2024
06/12/2024
180
180
20
End-of-term exam 16 14/01/2025 120 50
 
Student Work Load and its Distribution
Type of workDuration (hours pw)

No of weeks / Number of activity

Hours in total per term
Yüz yüze eğitim 3 14 42
Sınıf dışı çalışma 4 14 56
Arasınav için hazırlık 6 1 6
Arasınav 2 1 2
Ödev 4 4 16
Dönem sonu sınavı için hazırlık 8 1 8
Dönem sonu sınavı 2 1 2
Total work load132