Bachelor
2022/2023
Multithreaded Programming
Type:
Elective course (Applied Mathematics and Information Science)
Area of studies:
Applied Mathematics and Information Science
Delivered by:
Department of Applied Mathematics and Informatics
When:
3 year, 4 module
Mode of studies:
distance learning
Online hours:
40
Open to:
students of all HSE University campuses
Instructors:
Ekaterina K. Batsyna
Language:
English
ECTS credits:
3
Contact hours:
6
Course Syllabus
Abstract
This course teaches learners (industry professionals and students) the fundamental concepts of parallel programming in the context of Java 8. Parallel programming enables developers to use multicore computers to make their applications run faster by using multiple processors at the same time. By the end of this course, you will learn how to use popular parallel Java frameworks (such as ForkJoin, Stream, and Phaser) to write parallel programs for a wide range of multicore platforms including servers, desktops, or mobile devices, while also learning about their theoretical foundations including computation graphs, ideal parallelism, parallel speedup, Amdahl's Law, data races, and determinism.
Learning Objectives
- Introduction to the basics of multi-threaded programming through practical examples using the Java programming language
Expected Learning Outcomes
- Can use ForkJoin, Stream, Phaser frameworks
- Knows basic multithreading primitives (threads, mutexes, etc.)
Bibliography
Recommended Core Bibliography
- Hoger Khayrolla Omar, & Alaa Khalil Jumaa. (2019). Big Data Analysis Using Apache Spark MLlib and Hadoop HDFS with Scala and Java. https://doi.org/10.24017/science.2019.1.2
Recommended Additional Bibliography
- Databases reference sheets: Date with Java, SQL, XML, JAXB, JDBC, JPA, JPA Inheritance / Rodrigo García Carmona. (2016). Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsbas&AN=edsbas.991AD36F