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David Silver,
Stephen Welch,
and
Andreas Haja
Register for this course and see more details by visiting:
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What's inside
Syllabus
Learn the difference between processes and threads, and write your own concurrent program running multiple threads at the same time.
Learn to use promises and futures to create safe communication between threads. Also learn about tasks as an alternative to threads. Finally, understand data races and how to avoid them.
Read more
Syllabus
Learn the difference between processes and threads, and write your own concurrent program running multiple threads at the same time.
Learn to use promises and futures to create safe communication between threads. Also learn about tasks as an alternative to threads. Finally, understand data races and how to avoid them.
Read more
Use mutexes and locks to safely access shared data from various threads.
Use condition variables as a basic synchronization tool between threads. Understand and implement a concurrent message queue for flexible inter-thread communication
Build a multithreaded traffic simulator using a real urban map. Run each vehicle on a separate thread, and manage intersections to facilitate traffic flow and avoid collisions.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Explores concurrency and multithreading, which are standard in software development
Teaches safe communication between threads and data synchronization techniques
Develops foundational skills in multi-threading and concurrency, which are core skills for software engineers
Taught by David Silver, Stephen Welch, Andreas Haja, who are recognized for their work in artificial intelligence and machine learning
Uses a real-world scenario with traffic simulation to illustrate concurrency and multithreading concepts
Requires some background knowledge in programming and computer science
Save this course
Save Concurrency to your list so you can find it easily later:
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Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Concurrency with these
activities:
Multithreaded Programming Refresher
Show steps
Review and strengthen foundational skills in multithreaded programming before starting the course.
Show steps
-
Review basic concepts of concurrency and synchronization.
-
Practice implementing simple multithreaded programs.
Course Resource Compilation
Show steps
Organize and consolidate course materials for efficient review and preparation.
Show steps
-
Gather all course notes, assignments, and materials.
-
Organize and structure the materials.
-
Create a study guide or summary.
Operating Systems: Three Easy Pieces
Show steps
Gain a comprehensive understanding of operating system concepts, including concurrency and synchronization.
View
Operating Systems: Three Easy Pieces
on Amazon
Show steps
-
Read the relevant chapters on concurrency and synchronization.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Advanced Concurrency Techniques Tutorial
Show steps
Expand knowledge of concurrency by exploring advanced techniques and their applications.
Browse courses on
Concurrency
Show steps
-
Identify the need for advanced concurrency techniques.
-
Research and explore different advanced techniques.
-
Implement and test these techniques in practice.
Thread Synchronization Practice
Show steps
Reinforce concepts of thread synchronization through solving exercises and practice problems.
Browse courses on
Thread Synchronization
Show steps
-
Review course materials on thread synchronization.
-
Attempt practice problems on thread synchronization.
-
Review solutions and identify areas for improvement.
Data Race Debugging Exercise
Show steps
Develop debugging skills by identifying and resolving data races in multithreaded programs.
Browse courses on
Data Races
Show steps
-
Create a multithreaded program with potential data races.
-
Run the program and observe the non-deterministic behavior.
-
Use debugging tools to identify the data races.
-
Implement synchronization techniques to resolve the data races.
-
Test and verify the correctness of the modified program.
Concurrent Web Crawler Project
Show steps
Apply concurrency principles to design and implement a scalable web crawler.
Browse courses on
Concurrency
Show steps
-
Design the architecture of the web crawler.
-
Implement the concurrent crawling algorithm.
-
Handle web page parsing and data extraction.
-
Test and optimize the crawler's performance.
Multithreaded Traffic Simulator Project
Show steps
Apply concepts of concurrency and traffic flow management by building a multithreaded traffic simulator.
Browse courses on
Concurrency
Show steps
-
Design the architecture of the traffic simulator.
-
Implement the vehicle and intersection classes.
-
Implement the traffic management algorithm.
-
Test and refine the simulator.
-
Visualize the traffic flow and analyze the results.
Multithreaded Programming Refresher
Show steps
Review and strengthen foundational skills in multithreaded programming before starting the course.
Show steps
Show steps
Show steps
- Review basic concepts of concurrency and synchronization.
- Practice implementing simple multithreaded programs.
Course Resource Compilation
Show steps
Organize and consolidate course materials for efficient review and preparation.
Show steps
Show steps
Show steps
- Gather all course notes, assignments, and materials.
- Organize and structure the materials.
- Create a study guide or summary.
Operating Systems: Three Easy Pieces
Show steps
Gain a comprehensive understanding of operating system concepts, including concurrency and synchronization.
View
Operating Systems: Three Easy Pieces
on Amazon
Show steps
Show steps
Show steps
- Read the relevant chapters on concurrency and synchronization.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Advanced Concurrency Techniques Tutorial
Show steps
Expand knowledge of concurrency by exploring advanced techniques and their applications.
Browse courses on
Concurrency
Show steps
Show steps
Show steps
- Identify the need for advanced concurrency techniques.
- Research and explore different advanced techniques.
- Implement and test these techniques in practice.
Thread Synchronization Practice
Show steps
Reinforce concepts of thread synchronization through solving exercises and practice problems.
Browse courses on
Thread Synchronization
Show steps
Show steps
Show steps
- Review course materials on thread synchronization.
- Attempt practice problems on thread synchronization.
- Review solutions and identify areas for improvement.
Data Race Debugging Exercise
Show steps
Develop debugging skills by identifying and resolving data races in multithreaded programs.
Browse courses on
Data Races
Show steps
Show steps
Show steps
- Create a multithreaded program with potential data races.
- Run the program and observe the non-deterministic behavior.
- Use debugging tools to identify the data races.
- Implement synchronization techniques to resolve the data races.
- Test and verify the correctness of the modified program.
Concurrent Web Crawler Project
Show steps
Apply concurrency principles to design and implement a scalable web crawler.
Browse courses on
Concurrency
Show steps
Show steps
Show steps
- Design the architecture of the web crawler.
- Implement the concurrent crawling algorithm.
- Handle web page parsing and data extraction.
- Test and optimize the crawler's performance.
Multithreaded Traffic Simulator Project
Show steps
Apply concepts of concurrency and traffic flow management by building a multithreaded traffic simulator.
Browse courses on
Concurrency
Show steps
Show steps
Show steps
- Design the architecture of the traffic simulator.
- Implement the vehicle and intersection classes.
- Implement the traffic management algorithm.
- Test and refine the simulator.
- Visualize the traffic flow and analyze the results.
Career center
Learners who complete Concurrency will develop knowledge and skills
that may be useful to these careers:
Concurrency Engineer
Concurrency Engineer
Concurrency Engineers, also known as Parallel Programming Engineers or Multithreading Software Engineers, specialize in designing and developing high-performance computing systems. They work on improving the performance of software by optimizing and tuning code for concurrent execution. This course provides a strong foundation in concurrency, including topics such as understanding the difference between processes and threads, using mutexes and locks to safely access shared data, and avoiding data races. These skills are essential for the success of any Concurrency Engineer.
Software Developer
Software Developer
Software Developers are responsible for designing, developing, and maintaining software applications. In the context of concurrency, Software Developers need to be able to create applications that can handle multiple tasks simultaneously without compromising performance or reliability. This course provides a comprehensive overview of concurrency, including topics such as promises and futures, tasks, and condition variables. Completing this course can greatly benefit Software Developers seeking to write high-quality and efficient concurrent software.
Database Administrator
Database Administrator
Database Administrators are responsible for managing and maintaining databases. In the context of concurrency, Database Administrators need to understand how to manage concurrent access to data to ensure data integrity and consistency. This course provides a solid foundation in concurrency, including topics such as data races, mutexes and locks, and condition variables. By understanding these concepts and their application in database management systems, Database Administrators can effectively manage concurrent access to data, maintain data integrity, and prevent data corruption.
Data Scientist
Data Scientist
Data Scientists are responsible for collecting, analyzing, and interpreting data to extract valuable insights and make informed decisions. In the context of concurrency, Data Scientists need to be able to handle large datasets efficiently and perform complex computations in a timely manner. This course provides an introduction to concurrency, including topics such as promises and futures, tasks, and condition variables. By understanding these concepts, Data Scientists can effectively parallelize their computations, speed up their data analysis, and gain valuable insights from their data.
Systems Administrator
Systems Administrator
Systems Administrators are responsible for managing and maintaining computer systems. In the context of concurrency, Systems Administrators need to understand how to manage concurrent access to resources to ensure system stability and performance. This course provides a comprehensive overview of concurrency, including topics such as processes and threads, mutexes and locks, and condition variables. By understanding these concepts, Systems Administrators can effectively manage concurrent access to resources, prevent system deadlocks, and ensure the smooth operation of their systems.
Network Engineer
Network Engineer
Network Engineers are responsible for designing, implementing, and maintaining computer networks. In the context of concurrency, Network Engineers need to understand how to manage concurrent network traffic to ensure network stability and performance. This course provides a solid foundation in concurrency, including topics such as processes and threads, mutexes and locks, and condition variables. By understanding these concepts, Network Engineers can effectively manage concurrent network traffic, prevent network congestion, and ensure the reliable transmission of data.
Computer Architect
Computer Architect
Computer Architects are responsible for designing and developing computer hardware. In the context of concurrency, Computer Architects need to understand how to design hardware that can handle multiple tasks simultaneously without compromising performance or reliability. This course provides a comprehensive overview of concurrency, including topics such as processes and threads, mutexes and locks, and condition variables. By understanding these concepts, Computer Architects can effectively design hardware that supports concurrent execution, improves performance, and meets the demands of modern computing.
Embedded Systems Engineer
Embedded Systems Engineer
Embedded Systems Engineers are responsible for designing and developing embedded systems. In the context of concurrency, Embedded Systems Engineers need to understand how to manage concurrent access to resources to ensure system stability and performance. This course provides a solid foundation in concurrency, including topics such as processes and threads, mutexes and locks, and condition variables. By understanding these concepts, Embedded Systems Engineers can effectively manage concurrent access to resources, prevent system deadlocks, and ensure the reliable operation of their systems.
Game Developer
Game Developer
Game Developers are responsible for designing and developing video games. In the context of concurrency, Game Developers need to understand how to manage concurrent access to resources to ensure game stability and performance. This course provides a solid foundation in concurrency, including topics such as processes and threads, mutexes and locks, and condition variables. By understanding these concepts, Game Developers can effectively manage concurrent access to resources, prevent game crashes, and ensure the smooth gameplay experience.
Web Developer
Web Developer
Web Developers are responsible for designing and developing websites and web applications. In the context of concurrency, Web Developers need to understand how to manage concurrent access to resources to ensure website stability and performance. This course provides a solid foundation in concurrency, including topics such as processes and threads, mutexes and locks, and condition variables. By understanding these concepts, Web Developers can effectively manage concurrent access to resources, prevent website crashes, and ensure the smooth user experience.
Cloud Architect
Cloud Architect
Cloud Architects are responsible for designing and developing cloud-based solutions. In the context of concurrency, Cloud Architects need to understand how to manage concurrent access to resources to ensure cloud stability and performance. This course provides a solid foundation in concurrency, including topics such as processes and threads, mutexes and locks, and condition variables. By understanding these concepts, Cloud Architects can effectively manage concurrent access to resources, prevent cloud outages, and ensure the reliable operation of their cloud-based solutions.
DevOps Engineer
DevOps Engineer
DevOps Engineers are responsible for bridging the gap between development and operations teams. In the context of concurrency, DevOps Engineers need to understand how to manage concurrent access to resources to ensure smooth and efficient software development and deployment. This course provides a solid foundation in concurrency, including topics such as processes and threads, mutexes and locks, and condition variables. By understanding these concepts, DevOps Engineers can effectively manage concurrent access to resources, prevent software conflicts, and ensure the timely delivery of software products.
Quality Assurance Tester
Quality Assurance Tester
Quality Assurance Testers are responsible for testing software products to ensure their quality and reliability. In the context of concurrency, Quality Assurance Testers need to understand how to test concurrent systems to ensure their stability and performance. This course provides a solid foundation in concurrency, including topics such as processes and threads, mutexes and locks, and condition variables. By understanding these concepts, Quality Assurance Testers can effectively test concurrent systems, identify potential concurrency issues, and ensure the delivery of high-quality software products.
Technical Writer
Technical Writer
Technical Writers are responsible for creating documentation for software products. In the context of concurrency, Technical Writers need to understand how to effectively document concurrent systems to ensure their clarity and accuracy. This course provides a solid foundation in concurrency, including topics such as processes and threads, mutexes and locks, and condition variables. By understanding these concepts, Technical Writers can effectively document concurrent systems, explain their behavior, and help users understand how to work with them.
Project Manager
Project Manager
Project Managers are responsible for planning, executing, and monitoring projects. In the context of concurrency, Project Managers need to understand how to manage concurrent projects to ensure their timely and successful delivery. This course provides a solid foundation in concurrency, including topics such as processes and threads, mutexes and locks, and condition variables. By understanding these concepts, Project Managers can effectively manage concurrent projects, prevent project delays, and ensure the successful completion of their projects.
For more career information including salaries, visit:
OpenCourser.com/course/x63cgq/concurrenc
Reading list
We've selected eight books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Concurrency.
Comprehensive guide to concurrency in Java. It covers a wide range of topics, including thread safety, synchronization, and performance optimization. It valuable resource for developers who want to learn how to write concurrent programs in Java.
Save
Provides a comprehensive overview of concurrency in Go, covering topics such as goroutines, channels, and synchronization primitives. It valuable resource for developers who want to learn how to write concurrent programs in Go.
Provides a comprehensive overview of concurrency in C++. It covers topics such as threads, synchronization, and memory management. It valuable resource for developers who want to learn how to write concurrent programs in C++.
Save
Provides a comprehensive overview of concurrency in Python. It covers topics such as threads, synchronization, and multiprocessing. It valuable resource for developers who want to learn how to write concurrent programs in Python.
Provides a comprehensive overview of operating systems. It covers a wide range of topics, including concurrency, synchronization, and scheduling. It valuable resource for developers who want to learn how operating systems work.
Provides a comprehensive overview of operating systems. It covers a wide range of topics, including concurrency, synchronization, and scheduling. It valuable resource for developers who want to learn how operating systems work.
Provides a comprehensive overview of concurrency in C++. It covers topics such as threads, synchronization, and memory management. It valuable resource for developers who want to learn how to write concurrent programs in C++.
Provides a concise introduction to semaphores, a fundamental concurrency primitive. It useful resource for developers who want to learn how to use semaphores to solve common concurrency problems.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/x63cgq/concurrenc
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Time
30240 hours
Level
Intermediate
Via
Udacity
Instructors
David Silver
Stephen Welch
Andreas Haja
Language
English
Good to know
Explores concurrency and multithreading, which are standard in software development
Teaches safe communication between threads and data synchronization techniques
Develops foundational skills in multi-threading and concurrency, which are core skills for software engineers
Taught by David Silver, Stephen Welch, Andreas Haja, who are recognized for their work in artificial intelligence and machine learning
Uses a real-world scenario with traffic simulation to illustrate concurrency and multithreading concepts
Requires some background knowledge in programming and computer science
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