Modern operating systems

Course: Software engineering

Structural unit: Faculty of Computer Science and Cybernetics

Title
Modern operating systems
Code
ННД.07
Module type
Обов’язкова дисципліна для ОП
Educational cycle
Second
Year of study when the component is delivered
2022/2023
Semester/trimester when the component is delivered
3 Semester
Number of ECTS credits allocated
5
Learning outcomes
LO06. Analyze, estimate and choose methods, modern hardware and software systems, programming tools, technologies, algorithmic and software solutions for effective implementation of specific software-related production tasks. LO07. Justifiably choose programming paradigms and languages for various applications; apply in practice system and specialized tools, component-based frameworks and integrated development environments.
Form of study
Full-time form
Prerequisites and co-requisites
1. Have a notion: about modern computer architecture. 2. Know: general knowledge in the field of operating systems and system programming, selected topics from distributed computation field. 3. Be able to: read C code. 4. Have basic skills: of software testing and debugging.
Course content
The aim of the discipline is comprehensive study of principles for design and implementation of modern operating systems as well as investigation of basic algorithms for hardware and virtual resources management. Understanding of common features and differences between modern operating systems, trends in the system software evolution. As a result of studying the discipline, the student must: know principles for design and implementation of modern operating systems, their organization, common algorithms used, virtual resources and abstractions created by them, and also nonconventional approached to operating system construction; be able to effectively work with modern operating system source code, build them, implement drivers and extensions of modern operating systems, effectively use modern operating system management tools.
Recommended or required reading and other learning resources/tools
1. Tanenbaum A. Modern Operating Systems, 4th ed. / Tanenbaum A., Bos H. – Pearson, 2014. – 1136 p. 2. Russinovich M. Windows Internals, part 1, 6th ed. / Russinovich M., Solomon D., Ionescu A. – Microsoft Press, 2012. – 752 p. 3. Russinovich M. Windows Internals, part 1, 6th ed. / Russinovich M., Solomon D., Ionescu A. – Microsoft Press, 2012. – 672 p. 4. Mauerer W. Professional Linux c Kernel Architecture / Mauerer W. – Indianapolis: Wiley publishing, 2008. – 1368 p. 5. Love R. Linux Kernel Development, 3rd ed. / Love R. – Addison-Wesley, 2010. – 440 p. 6. Cesati M. Understanding the Linux Kernel, 3rd Ed. / Bovet D., Cesati M. – O’Reilly, 2005. – 944 p.
Planned learning activities and teaching methods
Lectures, laboratory classes, independent work, test, admission test, homework, defense of laboratory work, exam.
Assessment methods and criteria
Intermediate assessment: 1. Test: LO1.1, LO1.2 — 24 points. 2. Labs 1-6: LO2.1, LO2.2, LO4.1 — 36 points. 3. Admission test — Fail/Pass. Final assessment (exam): - maximum number of points: 40 points; - learning outcomes to be assessed: LO1.1, LO1.2, LO2.1, LO2.2. - exam form: written. - 5 writing assignments. Students not passing admission test are given two additional assignments regarding general knowledge on operating systems. Students that earned less than 20 points are not admitted to exam.
Language of instruction
Ukrainian

Lecturers

This discipline is taught by the following teachers

Oleksii I. Chentsov
Department of Intelligent Software Systems
Faculty of Computer Science and Cybernetics

Departments

The following departments are involved in teaching the above discipline

Department of Intelligent Software Systems
Faculty of Computer Science and Cybernetics