Description of Individual Course Units
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Offered By |
Computer Engineering (English) |
Level of Course Unit |
First Cycle Programmes (Bachelor's Degree) |
Course Coordinator |
PROFESSOR DOCTOR RECEP ALP KUT |
Offered to |
Computer Engineering (English) |
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 |
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Mode of Delivery |
Face -to- Face |
Prerequisites and Co-requisites |
CME 2201 - DATA STRUCTURES |
Recomended Optional Programme Components |
None |
Course Contents |
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Recomended or Required Reading |
Pacheco, Peter S., An introduction to parallel programming, Morgan Kaufmann Publishers for Elsevier, 2011 |
Planned Learning Activities and Teaching Methods |
Presentation/Lecturing, Applications, programming practice and exercises |
Assessment Methods |
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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 |
Office Hours |
Monday 13.00-15.00 |
Work Placement(s) |
None |
Workload Calculation |
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Contribution of Learning Outcomes to Programme Outcomes |
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