SECTION I: GENERAL INFORMATION ABOUT THE COURSE

Course Code	Course Name	Year	Semester	Theoretical	Practical	Credit	ECTS
60619MEEOZ-CME0157	Parallel and Distributed Computing	4	Fall	2	2	3	6

Course Type :	Compulsory
Cycle:	Bachelor      TQF-HE:6. Master`s Degree      QF-EHEA:First Cycle      EQF-LLL:6. Master`s Degree
Language of Instruction:	English
Prerequisities and Co-requisities:	N/A
Mode of Delivery:	Face to face
Name of Coordinator:
Dersin Öğretim Eleman(lar)ı:
Dersin Kategorisi:	Programme Specific

SECTION II: INTRODUCTION TO THE COURSE

Course Objectives & Content

Course Objectives:

The objective of this course is to introduce the parallel and distributed architectures, algorithms and programs for parallel and distributed computing and various parallel and distributed computing approaches to increase the performance of a range of computational tasks.

Course Content:

Architecture and design goals of parallel and distributed systems; parallel programming; networks and protocols; remote procedure calling; file and directory services; protection and security; parallel architectures. This course employs the project-based learning approach. In this respect aside from the conventional content the course has a project-based learning component. The project based-learning component aims realising one or more projects designed for learning purposes involving the development of certain intermediary and final deliverables in a step-by-step mannerby the students individually or in project teams. The evaluation of the project-based learning component involves grading the project deliverables and the project works by the instructor and/or a jury.

Course Learning Outcomes (CLOs)

Course Learning Outcomes (CLOs) are those describing the knowledge, skills and competencies that students are expected to achieve upon successful completion of the course. In this context, Course Learning Outcomes defined for this course unit are as follows:

Knowledge (Described as Theoritical and/or Factual Knowledge.)

1) Know parallel and distributed computing fundamentals including the infrastructure, architecture, and applications.

2) Know process communication; protocols, remote procedure calls and distributed process synchronization approaches.

Skills (Describe as Cognitive and/or Practical Skills.)

1) Design, develop and execute basic parallel and distributed programs using basic algorithms and tools and analyze distributed computing programs.

2) Know performance, reliability and security issues in parallel and distributed programming and make a decision based on tradeoffs between performance and design choices.

3) Apply parallel and distributed programming concepts for computer engineering applications.

Competences (Described as "Ability of the learner to apply knowledge and skills autonomously with responsibility", "Learning to learn"," Communication and social" and "Field specific" competences.)

Weekly Course Schedule

Week	Subject	Materials Sharing *
		Related Preparation	Further Study
1)	Introduction to parallel computing, Principles of parallel algorithm design
2)	Assignment of projects
3)	Principles of parallel algorithm design
4)	Analytical modeling of parallel programs
5)	Basic communication operations
6)	Parallel programming, Parallel programming paradigms
7)	Submission of the first delivery of the project
8)	Midterm
9)	Introduction to distributed computing, basic algorithms in message-passing systems
10)	Leader election in rings
11)	Mutual exclusion in shared memory, Fault-tolerant consensus
12)	Submission of the first delivery of the project
13)	Causality and time
14)	Parallel and distributed programming applications
15)	Submission of the final delivery of the project and presentation

*These fields provides students with course materials for their pre- and further study before and after the course delivered.

Recommended or Required Reading & Other Learning Resources/Tools

Course Notes / Textbooks:	Grama, A., Karypis, G., Kumar, V., Gupta, A. 2003. Introduction to Parallel Computing. 2nd edition. Addison-Wesley. Attiya, H. and Welch, J. 2004. Distributed Computing: Fundamentals, Simulations and Advanced Topics. 2nd edition. Wiley.
References:

Level of Contribution of the Course to PLOs

No Effect	1 Lowest	2 Low	3 Average	4 High	5 Highest

	Programme Learning Outcomes	Contribution Level (from 1 to 5)
1)	Has sufficient knowledge in mathematics, science, computer science and computer engineering; use theoretical and applied knowledge in these fields together to solve computer engineering problems	5
2)	Uses and applies theoretical and applied sciences in the field of basic science subjects for the solution of computer engineering problems.
3)	Analyzes computer engineering applications, designs and develops models to meet specific requirements under realistic constraints and conditions. For this purpose, selects and uses appropriate methods, tools and technologies.
4)	Identify, define, formulate and solve complex computer engineering problems; for this purpose select and apply appropriate analytical and modeling methods	5
5)	Selects and effectively uses modern techniques and tools and information technologies required for computer science and computer engineering applications.	4
6)	Designs a complex computer and software based system, process, device or product to meet certain requirements under realistic constraints and conditions, including economics, environmental issues, sustainability, manufacturability, ethics, health, safety, social and political issues; For this purpose, it applies modern design methods.	4
7)	Has information about the standards used in computer engineering applications.	4
8)	Owns the competencies required by the constantly developing field of computer engineering and the global competitive environment.
9)	Acquires communication in a Foreign Language (English) competence defined on the level of at least B1 in European Language Portfolio. (In programs whose medium of instruction is English, on the level of B2/B2+).

SECTION IV: TEACHING-LEARNING & ASSESMENT-EVALUATION METHODS OF THE COURSE

Teaching & Learning Methods of the Course

(All teaching and learning methods used at the university are managed systematically. Upon proposals of the programme units, they are assessed by the relevant academic boards and, if found appropriate, they are included among the university list. Programmes, then, choose the appropriate methods in line with their programme design from this list. Likewise, appropriate methods to be used for the course units can be chosen among those defined for the programme.)

Teaching and Learning Methods defined at the Programme Level	Teaching and Learning Methods Defined for the Course
Lectures
Laboratory
Project Preparation

Assessment & Evaluation Methods of the Course

(All assessment and evaluation methods used at the university are managed systematically. Upon proposals of the programme units, they are assessed by the relevant academic boards and, if found appropriate, they are included among the university list. Programmes, then, choose the appropriate methods in line with their programme design from this list. Likewise, appropriate methods to be used for the course units can be chosen among those defined for the programme.)

Aassessment and evaluation Methods defined at the Programme Level	Assessment and Evaluation Methods defined for the Course
Midterm
Presentation
Final Exam
Quiz
Homework Evaluation
Jury Evaluation
Practice Exam

Contribution of Assesment & Evalution Activities to Final Grade of the Course

Measurement and Evaluation Methods	# of practice per semester	Level of Contribution
Total		%
PERCENTAGE OF SEMESTER WORK		% 0
PERCENTAGE OF FINAL WORK		%
Total		%

SECTION V: WORKLOAD & ECTS CREDITS ALLOCATED FOR THE COURSE

WORKLOAD OF TEACHING & LEARNING ACTIVITIES
Teaching & Learning Activities	# of Activities per semester	Duration (hour)	Total Workload
Course	14	2	28
Laboratory	0	0	0
Application	14	2	28
Special Course Internship (Work Placement)	0	0	0
Field Work	0	0	0
Study Hours Out of Class	14	2	28
Presentations / Seminar	4	1	4
Project	4	5	20
Homework Assignments	0	0	0
Total Workload of Teaching & Learning Activities	-	-	108
WORKLOAD OF ASSESMENT & EVALUATION ACTIVITIES
Assesment & Evaluation Activities	# of Activities per semester	Duration (hour)	Total Workload
Quizzes	3	2	6
Midterms	1	6	6
Semester Final Exam	1	12	12
Total Workload of Assesment & Evaluation Activities	-	-	24
TOTAL WORKLOAD (Teaching & Learning + Assesment & Evaluation Activities)			132
ECTS CREDITS OF THE COURSE (Total Workload/25.5 h)			6