Computer Engineering (English) Preview
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

Course Introduction and Application Information

Course Code:

COE011

Course Name:

Parallel Computing

Semester:

Fall
Spring

Course Credits:

ECTS

Language of instruction:

English

Course Condition:

Does the Course Require Work Experience?:

Type of course:

Departmental Elective

Course Level:

Bachelor

TR-NQF-HE:6. Master`s Degree

QF-EHEA:First Cycle

EQF-LLL:6. Master`s Degree

Mode of Delivery:

Face to face

Course Coordinator:

Dr. Öğr. Üy. GÜRSAN ÇOBAN

Course Lecturer(s):

Assist. Prof. Dr. Amir Seyyedabbasi

Course Assistants:

Course Objective and Content

Course Objectives:	The course aims to provide an overview Parallel Computing concepts, Parallel Programming Skills, Parallel Algorithms and Data Structures, Parallel Computing Architectures.
Course Content:	The content of the course consists of basic concepts and principles of parallel computing,earning parallel programming languages (OpenMP,MPI, CUDA),techniques for optimizing the performance of parallel programs, learn about the design and analysis of parallel algorithms for solving common computational problems.

Learning Outcomes

The students who have succeeded in this course;
1) Can use parallel concepts of performance, speed-up and efficiency.
2) Can analyze basic parallel algorithms and use them for programming purposes.
3) Can write Distributed Memory Programs using MPI.
4) Can write Shared Memory Programs using OpenMP and Pthreads.
5) Can write GPU-based parallel programs using CUDA.

Course Flow Plan

Week	Subject	Related Preparation
1)	Introduction to parallel computing, general principles, taxonomy
2)	Parallel Computing Architectures, Hardware and Software 1
3)	Parallel Computing Architectures, Hardware and Software 2
4)	Distributed Memory Programming with MPI (1)
5)	Distributed Memory Programming with MPI (2)
6)	Paralel Partitioning Strategies
7)	Load Balancing
8)	Midterm Exam
9)	Programming Shared Memory with Pthreads
10)	Shared memory programming -1 (OpenMP)
11)	Shared memory programming -2 (OpenMP)
12)	GPU programming with CUDA
13)	GPU programming with CUDA
14)	Term Project Presentations

Sources

Course Notes / Textbooks:	An Introduction to Parallel Programming 2nd Edition. Peter S. Pacheco, Matthew Malensek Introduction to Parallel Computing, A. Grama, A. Gupta, G.Karypis, V. Kumar, Addison Wesley.
References:	Parallel Computing, Theory and practice, M.J.Quinn, McGraw Hill. Parallel programming with MPI, P.S. Pacheco.Morgan Kaufmann. GPU Gems 1&2, Nvidia.

Course - Program Learning Outcome Relationship

Course Learning Outcomes	1	2	3	4	5
Program Outcomes
1) Adequate knowledge in mathematics, science, and computer engineering principles, both theoretical and practical, and the ability to apply this knowledge to complex engineering problems.
2) Ability to identify, formulate, and solve complex computer engineering problems using appropriate analysis and modeling techniques.		2	2	2	2
3) Ability to design and develop complex computer systems, devices, or products that meet specific requirements and operate under realistic constraints and conditions, using modern design methods.	2	3	3	3	3
4) Ability to develop, select and use modern techniques and tools used for the analysis and solution of complex computer engineering problems, and the ability to use information technologies effectively.
5) Ability to plan and conduct experiments, collect and analyze data, and interpret results in the study of complex computer engineering problems or research topics.
6) Ability to work effectively within and multidisciplinary teams; individual study skills.
7) Ability to communicate effectively orally and in writing; knowledge of at least one foreign language; ability to write effective reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions.
8) Awareness of the necessity of lifelong learning; ability to access information, to follow developments in science and technology and to renew continuously.
9) To act in accordance with ethical principles, professional and ethical responsibility; information on the standards used in engineering applications.
10) Information on business practices such as project management, risk management and change management; awareness of entrepreneurship and innovation; information about sustainable development.
11) Knowledge of the effects of computer engineering practices on health, environment and safety in the universal and social scale and the problems of the era reflected in computer engineering; awareness of the legal consequences of computer engineering solutions.

Course - Learning Outcome Relationship

No Effect	1 Lowest	2 Average	3 Highest

	Program Outcomes	Level of Contribution
1)	Adequate knowledge in mathematics, science, and computer engineering principles, both theoretical and practical, and the ability to apply this knowledge to complex engineering problems.
2)	Ability to identify, formulate, and solve complex computer engineering problems using appropriate analysis and modeling techniques.
3)	Ability to design and develop complex computer systems, devices, or products that meet specific requirements and operate under realistic constraints and conditions, using modern design methods.	2
4)	Ability to develop, select and use modern techniques and tools used for the analysis and solution of complex computer engineering problems, and the ability to use information technologies effectively.	3
5)	Ability to plan and conduct experiments, collect and analyze data, and interpret results in the study of complex computer engineering problems or research topics.
6)	Ability to work effectively within and multidisciplinary teams; individual study skills.
7)	Ability to communicate effectively orally and in writing; knowledge of at least one foreign language; ability to write effective reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions.
8)	Awareness of the necessity of lifelong learning; ability to access information, to follow developments in science and technology and to renew continuously.
9)	To act in accordance with ethical principles, professional and ethical responsibility; information on the standards used in engineering applications.
10)	Information on business practices such as project management, risk management and change management; awareness of entrepreneurship and innovation; information about sustainable development.
11)	Knowledge of the effects of computer engineering practices on health, environment and safety in the universal and social scale and the problems of the era reflected in computer engineering; awareness of the legal consequences of computer engineering solutions.

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Project	1	% 30
Midterms	1	% 30
Final	1	% 40
total		% 100
PERCENTAGE OF SEMESTER WORK		% 60
PERCENTAGE OF FINAL WORK		% 40
total		% 100

Workload and ECTS Credit Calculation

Activities	Number of Activities	Preparation for the Activity	Spent for the Activity Itself	Completing the Activity Requirements	Workload
Course Hours	13	0	2		26
Laboratory	13	0	2		26
Study Hours Out of Class	13	2			26
Project	1	25	1		26
Midterms	1	10	2		12
Final	1	10	2		12
Total Workload					128