COURSE UNIT TITLE

Offered By

Computer Engineering

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

PROFESSOR DOCTOR RECEP ALP KUT

Offered to

Computer Engineering

Course Objective

The goal of this course is to introduce students to the basics of parallel programming and parallel computer architectures. With this course, students will learn thinking in parallel; writing parallel programs with MPI and OpenMP by designing simple algorithms for parallel architectures in shared memory and distributed memory systems; programming with CUDA on the graphics processor unit (GPU) architecture; big data concepts and characteristics; the computing platforms in Apache Hadoop ecosystem; application development using MapReduce model; learn how to use functional programming language Scala and distributed computing with Apache Spark.

Learning Outcomes of the Course Unit

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

CME 2201 - DATA STRUCTURES

Recomended Optional Programme Components

None

Course Contents

Recomended or Required Reading

Pacheco, Peter S., An introduction to parallel programming, Morgan Kaufmann Publishers for Elsevier, 2011
Tom White, Hadoop The Definitive Guide (3rd edition), O Reilly, 2012

Planned Learning Activities and Teaching Methods

Presentation/Lecturing, Applications, programming practice and exercises

Assessment Methods

Further Notes About Assessment Methods

None

Assessment Criteria

Midterm, Final exam, Project

Language of Instruction

English

Course Policies and Rules

Attendance is mandatory.

Contact Details for the Lecturer(s)

Prof.Dr. Alp KUT
Department of Computer Engineering
Dokuz Eylul University
Tinaztepe Buca, 35160 Izmir, Türkiye
Tel: +90-232-3017401

Office Hours

Monday 13.00-15.00

Work Placement(s)

None

Workload Calculation

Contribution of Learning Outcomes to Programme Outcomes