Distributed Computing (CMPE537) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Distributed Computing CMPE537 Elective Courses 3 0 0 3 5
Pre-requisite Course(s)
N/A
Course Language English
Course Type Elective Courses
Course Level Natural & Applied Sciences Master's Degree
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture.
Course Coordinator
Course Lecturer(s)
Course Assistants
Course Objectives The objective of this course is to introduce students to advanced concepts of distributed computing.
Course Learning Outcomes The students who succeeded in this course;
  • Gather problem solving skills to distributed application
  • Identify and decompose a complex systems into its components
  • Apply programming language concepts in solving the distributed components
  • Develop service oriented applications
Course Content Introduction to the core concepts and principles of distributed programming techniques, computing paradigms, protocols, and application program interfaces (APIs), sockets, multicast, Remote Method Invocation (RMI), Common Object Request Broker Architecture (CORBA), Interface Definition Language (IDL), applets, servlets, Common Gateway Interface (CG

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Introduction to distributed computing Chapter 1
2 Interprocess Communication Chapter 2
3 Interprocess Communication Chapter 2
4 Distributed Computing Paradigms. Chapter 3
5 The Socket API Chapter 4
6 The Client-server Paradigm Chapter 5
7 Group Communications Chapter 6
8 Distributed objects Chapter 7
9 Advanced Remote Method Invocations Chapter 8
10 Internet applications Chapter 9
11 Internet applications (cont.) Chapter 11
12 MPI Based distributed computing Lecture Notes
13 Service based distribution (REST, SOAP,etc) Lecture Notes
14 Advanced Distributed Computing Paradigms Chapter 12
15 Review
16 Review

Sources

Course Book 1. “Distributed Computing: Principles and Applications”, M. L. Liu, Pearson/Addison-Wesley, ISBN: 0-201-79644-9.

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments 3 30
Presentation - -
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury 1 35
Final Exam/Final Jury 1 35
Toplam 5 100
Percentage of Semester Work 65
Percentage of Final Work 35
Total 100

Course Category

Core Courses
Major Area Courses X
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 An ability to apply knowledge of mathematics, science, and engineering. X
2 An ability to design and conduct experiments, as well as to analyse and interpret data.
3 An ability to design a system, component, or process to meet desired needs. X
4 An ability to function on multi-disciplinary domains. X
5 An ability to identify, formulate, and solve engineering problems. X
6 An understanding of professional and ethical responsibility. X
7 An ability to communicate effectively. X
8 Recognition of the need for, and an ability to engage in life-long learning. X
9 A knowledge of contemporary issues. X
10 An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice. X
11 Skills in project management and recognition of international standards and methodologies X
12 An ability to produce engineering products or prototypes that solve real-life problems. X
13 Skills that contribute to professional knowledge. X
14 An ability to make methodological scientific research.
15 An ability to produce, report and present an original or known scientific body of knowledge.
16 An ability to defend an originally produced idea.

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 3 48
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class 16 2 32
Presentation/Seminar Prepration
Project 3 5 15
Report
Homework Assignments
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 1 10 10
Prepration of Final Exams/Final Jury 1 20 20
Total Workload 125