Nevşehir Hacı Bektaş Veli University Course Catalogue

Information Of Programmes

INSTITUTE OF SCIENCE / JFM506 - GEOPHYSICAL ENGINEERING (Master's Degree)

Code: JFM506 Course Title: PARALLEL PROGRAMMING IN GEOPHYSICS Theoretical+Practice: 3+0 ECTS: 6
Year/Semester of Study 1 / Spring Semester
Level of Course 2nd Cycle Degree Programme
Type of Course Optional
Department GEOPHYSICAL ENGINEERING (Master's Degree)
Pre-requisities and Co-requisites None
Mode of Delivery Face to Face
Teaching Period 14 Weeks
Name of Lecturer ÖZCAN ÇAKIR (ocakir@nevsehir.edu.tr)
Name of Lecturer(s)
Language of Instruction Turkish
Work Placement(s) None
Objectives of the Course
To give programming techniques for geophysical and engineering problems.

Learning Outcomes PO MME
The students who succeeded in this course:
LO-1 Be able to create and develop an algorithm for simple and complex structured functions. PO-1 An ability to apply knowledge of basic engineering sciences and earth sciences for the solution of geophysical engineering problems.
PO-2 An ability to identify, formulate, and solve geophysical engineering problems and knowledge of contemporary issues.
Examination
LO-2 Be able to do programming will evaluate of geophysical data. PO-2 An ability to identify, formulate, and solve geophysical engineering problems and knowledge of contemporary issues.
PO-3 An ability to design field experiments, as well as analyze and interpret data.
Examination
LO-3 Be able to develop programming ability and developing an algorithm to solve for different geophysical problems. PO-2 An ability to identify, formulate, and solve geophysical engineering problems and knowledge of contemporary issues.
PO-3 An ability to design field experiments, as well as analyze and interpret data.
PO-4 An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice.
PO-6 An ability to interpret the processed data by using multidisciplinary approach.
PO-12 The broad education necessary to understand the impact of engineering solutions in a global, economic, environmental, and societal context.
Examination
PO: Programme Outcomes
MME:Method of measurement & Evaluation

Course Contents
What is parallel programming? Why is parallel programming? Parallel programming models. Design of parallel programming. Examples of parallel programming. Matrices, the wave equation and heat equation.
Weekly Course Content
Week Subject Learning Activities and Teaching Methods
1 What is parallel programming? Lecturing
2 What is parallel Programming? Lecturing
3 Why is parallel Programming? Lecturing
4 Why is parallel programming? Lecturing
5 Parallel programming models Creating a model
6 Parallel Programming Models Creating a model
7 Parallel programming models Creating a model
8 mid-term exam
9 Design of parallel programming Level developing study
10 Design of parallel programming Level developing study
11 Examples of parallel programming Sample events method
12 Examples of parallel programming Sample events method
13 Matrices, the wave equation and heat equation Solving problem method
14 Matrices, the wave equation and heat equation Solving problem method
15 Matrices, the wave equation and heat equation Solving problem method
16 final exam
Recommend Course Book / Supplementary Book/Reading
1 Aytaç, M., Sezen, H. K., 1992. Bilgisayar Programlama ve Fortran 77, Beta Yayınevi, İstanbul
2 Güneş, A., ve Yıldız, K., 1997. Matlab for Windows, Türkmen Kitabevi, İstanbul.
Required Course instruments and materials
None

Assessment Methods
Type of Assessment Week Hours Weight(%)
mid-term exam 8 1 40
Other assessment methods
1.Oral Examination
2.Quiz
3.Laboratory exam
4.Presentation
5.Report
6.Workshop
7.Performance Project
8.Term Paper
9.Project
final exam 16 1 60

Student Work Load
Type of Work Weekly Hours Number of Weeks Work Load
Weekly Course Hours (Theoretical+Practice) 3 14 42
Outside Class
       a) Reading 0
       b) Search in internet/Library 0
       c) Performance Project 0
       d) Prepare a workshop/Presentation/Report 0
       e) Term paper/Project 0
Oral Examination 0
Quiz 0
Laboratory exam 0
Own study for mid-term exam 10 7 70
mid-term exam 1 1 1
Own study for final exam 10 7 70
final exam 1 1 1
0
0
Total work load; 184