MBLP242 Introduction to Parallel ProgrammingIstanbul Okan UniversityDegree Programs Mobil TeknolojileriGeneral Information For StudentsDiploma SupplementErasmus Policy StatementNational Qualifications
Mobil Teknolojileri
Associate TR-NQF-HE: Level 5 QF-EHEA: Short Cycle EQF-LLL: Level 5

General course introduction information

Course Code: MBLP242
Course Name: Introduction to Parallel Programming
Course Semester: Spring
Course Credits:
Theoretical Practical Credit ECTS
3 0 3 5
Language of instruction: TR
Course Requisites:
Does the Course Require Work Experience?: No
Type of course: Department/Faculty Elective
Course Level:
Associate TR-NQF-HE:5. Master`s Degree QF-EHEA:Short Cycle EQF-LLL:5. Master`s Degree
Mode of Delivery: Face to face
Course Coordinator : Öğr.Gör. ALPER ÇELTİKÇİ
Course Lecturer(s):
Course Assistants:

Course Objective and Content

Course Objectives: Understanding Parallel Hardware and Parallel Software Concepts.
Knowing Parallel Programming Methods.
To be able to design and implement parallel algorithms.
To be able to evaluate the performances in parallel programming.
Course Content: Parallel Hardware and Parallel Software Concepts. Parallel Programming Methods. Design and Implementation of Parallel Algorithms. Evaluation of performance in parallel programming.

Learning Outcomes

The students who have succeeded in this course;
Learning Outcomes
1 - Knowledge
Theoretical - Conceptual
1) Understanding Parallel Hardware and Parallel Software Concepts.
2) Knowing Parallel Programming Methods.
3)   To be able to design and implement parallel algorithms.
4)   To be able to evaluate the performances in parallel programming.
2 - Skills
Cognitive - Practical
3 - Competences
Communication and Social Competence
Learning Competence
Field Specific Competence
Competence to Work Independently and Take Responsibility

Lesson Plan

Week Subject Related Preparation
1) Understanding Parallel Hardware and Parallel Software Concepts. Course Notes
2) Understanding Parallel Hardware and Parallel Software Concepts. Course Notes
3) Knowing Parallel Programming Methods. Ders Notları
4) Knowing Parallel Programming Methods. Course Notes
5) Knowing Parallel Programming Methods. Course Notes
6) To be able to design and implement parallel algorithms. Course Notes
7) To be able to design and implement parallel algorithms. Course Notes
8) Midterm course notes
9) To be able to design and implement parallel algorithms. Course Notes
10) To be able to evaluate the performances in parallel programming. Course Notes
11) To be able to evaluate the performances in parallel programming. Course Notes
12) Project Presentations Course Notes
13) Project Presentations Course Notes
14) An overview Course Notes
15) Final Exam Course Notes

Sources

Course Notes / Textbooks: Ders Notları
References: lecture notes

Course-Program Learning Outcome Relationship

Learning Outcomes

1

2

3

4

Program Outcomes
1) Has basic theoretical and practical knowledge in mathematics, computation and computer science.
2) It implements the defined problems and models of computer science and / or computer science and implements basic solution proposals.
3) Uses algorithmic thinking and planning approach in their applications.
4) Develops software components whose specifications are defined.
5) Communicates spoken and written; at least one foreign language at least on the European Language Portfolio A2 General Level, monitors information in the field of computer science and computer science and communicates with colleagues.
6) The necessity of lifelong learning follows consciousness and current developments in information and communication technologies.
7) Vocational and ethical responsibility is conscious and has an awareness of professional ethics in information applications.
8) It works effectively either individually or on teams.

Course - Learning Outcome Relationship

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) Has basic theoretical and practical knowledge in mathematics, computation and computer science.
2) It implements the defined problems and models of computer science and / or computer science and implements basic solution proposals.
3) Uses algorithmic thinking and planning approach in their applications.
4) Develops software components whose specifications are defined.
5) Communicates spoken and written; at least one foreign language at least on the European Language Portfolio A2 General Level, monitors information in the field of computer science and computer science and communicates with colleagues.
6) The necessity of lifelong learning follows consciousness and current developments in information and communication technologies.
7) Vocational and ethical responsibility is conscious and has an awareness of professional ethics in information applications.
8) It works effectively either individually or on teams.

Learning Activity and Teaching Methods

Expression
Lesson
Lab
Project preparation
Q&A / Discussion

Assessment & Grading Methods and Criteria

Written Exam (Open-ended questions, multiple choice, true-false, matching, fill in the blanks, sequencing)
Homework
Individual Project

Assessment & Grading

Semester Requirements Number of Activities Level of Contribution
Homework Assignments 1 % 20
Midterms 1 % 30
Final 1 % 50
total % 100
PERCENTAGE OF SEMESTER WORK % 50
PERCENTAGE OF FINAL WORK % 50
total % 100

Workload and ECTS Credit Grading

Activities Number of Activities Duration (Hours) Workload
Course Hours 15 3 45
Homework Assignments 1 30 30
Midterms 1 30 30
Final 1 30 30
Total Workload 135