Search result: Catalogue data in Spring Semester 2022

Electrical Engineering and Information Technology Bachelor Information
4th Semester: Examination Blocks
Examination Block 2
227-0013-00LComputer Engineering Restricted registration - show details O4 credits2V + 1U + 1PK. Razavi
AbstractThe course provides knowledge on the inner working of computer systems by introducing basic concepts in the design of microprocessors and operating systems
ObjectiveBy the end of the course, the students should be able to analyze and think critically about the design and implementation of computer systems at the hardware and software boundary.
ContentOn the hardware side, the course will show how microprocessors implement control and data paths before introducing microarchitectural optimizations such as pipelining, speculation and caching. On the software side, the course will show how to program a microprocessor before introducing fundamental concepts in the design of operating systems such as on physical and virtual memory management, process management and scheduling.

The lectures are complemented by theoretical exercises and six practical assignments that cover the core concepts of the course and allow students to gain a deeper understanding of the topics.
Literature1) D.A. Patterson, J.L. Hennessy: Computer Organization and Design RISC-V Edition: The Hardware Software Interface (2nd Edition), ISBN-13:

2) R.H. Arpaci-Dusseau, A.C. Arpaci-Dusseau: Operating Systems: Three Easy Pieces, Link
Prerequisites / NoticeProgramming skills in systems languages such as C or C++, knowledge of digital design.
227-0046-10LSignals and Systems IIO4 credits2V + 2UJ. Lygeros
AbstractContinuous and discrete time linear system theory, state space methods, frequency domain methods, controllability, observability, stability.
ObjectiveIntroduction to basic concepts of system theory.
ContentModeling and classification of dynamical systems.

Modeling of linear, time invariant systems by state equations. Solution of state equations by time domain and Laplace methods. Stability, controllability and observability analysis. Frequency domain description, Bode and Nyquist plots. Sampled data and discrete time systems.

Advanced topics: Nonlinear systems, chaos, discrete event systems, hybrid systems.
Lecture notesCopy of transparencies
K.J. Astrom and R. Murray, "Feedback Systems: An Introduction for Scientists and Engineers", Princeton University Press 2009

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