Curricula

Objectives

Purpose:
In the concurrent programming course, you will learn about topics such as threads, synchronization, inter-process communication, parallel programming, and distributed systems. You will develop skills in designing, implementing, and debugging concurrent programs, and discover techniques for improving performance and avoiding common pitfalls. Additionally, you will gain knowledge about concurrency models, locking, scheduling, message passing, and concurrency testing. The course will also offer hands-on programming assignments, which will allow you to develop and analyze concurrent programs using various programming languages and tools.

EUR-ACE Competences:
Knowledge and Understanding
Engineering practice
Communication and team-working
Multidisciplinary competences
Engineering practice
Investigations and information retrieval

Learning outcomes:
Upon completion of the concurrent programming course, you will be able to:
- Design, implement, and debug concurrent programs that make efficient use of modern computer hardware.
- Understand and apply concepts related to threads, synchronization, inter-process communication, parallel programming, and distributed systems.
- Identify and avoid common pitfalls of concurrent programming, such as race conditions and deadlocks.
- Evaluate and compare different concurrency models, locking mechanisms, scheduling strategies, and message passing techniques.
- Keep up-to-date with the latest trends and developments in the field of concurrent programming, and continue to learn and experiment with new tools and techniques.

Content

The course covers concurrent programming concepts and methods. The covered topics are modern threading API, synchronization, mutexes, dead locks, race conditions and best practices in concurrent and parallel programming. The student is aware of the varying parallelization mechanisms.

Learning materials and recommended literature

Materials in the e-learning environment.

Teaching methods

- lectures
- independent study
- distance learning
- small group learning
- exercises
- learning tasks

Practical training and working life connections

- projects

Exam dates and retake possibilities

The possible date and method of the exam will be announced in the course opening.

Alternative completion methods

The admission procedures are described in the degree rule and the study guide. The teacher of the course will give you more information on possible specific course practices.

Student workload

One credit (1 Cr) corresponds to an average of 27 hours of work.

- lectures 50 h
- exercises 15 h
- assignment 40 h
- independent study 30 h
Total 135 h

Further information for students

Compulsory attendance to the lessons. Part of the assessment is based on attendance.

Helping other students with their assignments earns extra points for the grade.

Evaluation scale

0-5

Evaluation criteria, satisfactory (1-2)

Fail 0: The student does not meet the minimum criteria set for the course.

Sufficient (1): The student is familiar with the basic topics discussed during the course. The student is able write only the most basic multithreaded programs with assistance.

Satisfactory (2): The student understands the most basic topics discussed during the course, however, they struggle to utilize this knowledge. The student is not able to search for relevant information independently. The student is able to write simple multithreaded programs with assistance.

Evaluation criteria, good (3-4)

Good (3): The student understands the most important topics discussed during the course and is able to utilize this knowledge in the most basic cases. The student is able to utilize information about the discussed topics. The student is able to write simple multithreaded programs.

Very good (4): The student understands the most important topics discussed during the course and is able to utilize this knowledge in most common cases. The student is able to search and understand information about discussed topics. The student is able to write multithreaded programs.

Evaluation criteria, excellent (5)

Excellent (5): The student understands all topics discussed during the course and is able to use them in an innovative manner even in challenging situations. The student is able to search and utilize information about discussed topics independently. The student is able to write complex multithreaded programs.

Prerequisites

Basics in programming, Operating systems, Data structures and algorithms, Introduction to Internet technology.