|
|||||
Year/Semester of Study | 1 / Fall Semester | ||||
Level of Course | 3rd Cycle Degree Programme | ||||
Type of Course | Optional | ||||
Department | ELEKTRIK-ELEKTRONIK MüHENDISLIğI ANABILIM DALı DOKTORA (ÖNERILEN PROGRAM) | ||||
Pre-requisities and Co-requisites | None | ||||
Mode of Delivery | Face to Face | ||||
Teaching Period | 14 Weeks | ||||
Name of Lecturer | GÖKSEL GÖKKUŞ (gokselgokkus@nevsehir.edu.tr) | ||||
Name of Lecturer(s) | GÖKSEL GÖKKUŞ, | ||||
Language of Instruction | Turkish | ||||
Work Placement(s) | None | ||||
Objectives of the Course | |||||
The aim of this course is to introduce advanced programming techniques and to provide advanced programming skills by providing information on how current programming techniques can be used to solve problems that may be encountered in the fields of mathematics, physics, etc. |
Learning Outcomes | PO | MME | |
The students who succeeded in this course: | |||
LO-1 |
PO-2 Ability to develop, select and use modern techniques and tools required for the analysis and solution of complex problems encountered in engineering applications; has the ability to use information technologies effectively. PO-4 Demonstrates effective skills, self-confidence in taking responsibility and teamwork, both individually and in multi-disciplinary teams, both nationally and internationally. PO-5 Ability to develop new and original ideas and methods; develop innovative/alternative solutions in system, part or process designs |
Examination |
|
PO: Programme Outcomes MME:Method of measurement & Evaluation |
Course Contents | ||
Algorithms. Sets. Series. Binary number branches, functions. Iterative operations, data analysis, sorting and searching problems. Implementation of the above algorithms and solution of problems with a programming language. Advanced programming designs and techniques. Introduction to parallel programming techniques. | ||
Weekly Course Content | ||
Week | Subject | Learning Activities and Teaching Methods |
1 | Fundamentals of programming languages | Lecture, Question-answer, Discussion |
2 | Algorithms, sets | Lecture, Question-answer, Discussion |
3 | Clusters | Lecture, Question-answer, Discussion |
4 | Series | Lecture, Question-answer, Discussion |
5 | Binary digit branches functions | Lecture, Question-answer, Discussion |
6 | Functions | Lecture, Question-answer, Discussion |
7 | Repetitive operations | Lecture, Question-answer, Discussion |
8 | mid-term exam | |
9 | Data analysis, sorting and searching problems | Lecture, Question-answer, Discussion |
10 | Implementing algorithms and solving problems with a programming language | Lecture, Question-answer, Discussion |
11 | Heredity | Lecture, Question-answer, Discussion |
12 | Advanced programming designs and techniques | Lecture, Question-answer, Discussion |
13 | Interfaces | Lecture, Question-answer, Discussion |
14 | Polymorphism | Lecture, Question-answer, Discussion |
15 | Introduction to parallel programming techniques | Lecture, Question-answer, Discussion |
16 | final exam | |
Recommend Course Book / Supplementary Book/Reading | ||
1 | Vatansever F. İleri Programlama Uygulamaları (Basic, Pascal, C / C++ ve Matlab) Çözülmüş Problemler Ocak 2006 | |
2 | Peter A. Darnell, Philip E. Margolis, Software Engineering in C, , Springer Verlag, 1988. | |
3 | Deitel,H.M., C How to Program, Intorducing C++ and Java, 2001. | |
Required Course instruments and materials | ||
Textbook, laptop, projector |
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 | 3 | 18 | 54 |
b) Search in internet/Library | 3 | 18 | 54 |
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 | 1 | 14 | 14 |
mid-term exam | 1 | 1 | 1 |
Own study for final exam | 1 | 14 | 14 |
final exam | 1 | 1 | 1 |
0 | |||
0 | |||
Total work load; | 180 |