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19D071MEM - Memristors and Memristive Systems

Course specification
Course title Memristors and Memristive Systems
Acronym 19D071MEM
Study programme Electrical Engineering and Computing
Module Microwave Engineering
Type of study doctoral studies
Lecturer (for classes)
Lecturer/Associate (for practice)
    Lecturer/Associate (for OTC)
      ESPB 9.0 Status elective
      Condition None.
      The goal Cover the concept, technology, and mathematical modeling of memristors and memristive systems. Introduce memristor-based applications in various fields of electrical engineering. Provide essentials for designing memristor-based circuits.
      The outcome Understand memristor operation and models. Identify memristor-based applications and the corresponding technological requirements. Design memristor-based circuits by synthesis, tuning and optimization. Verify memristor-based designs and proofs-of-concept by computer simulations.
      Contents
      URL to the subject page https://mtt.etf.bg.ac.rs/ds/memristori.memristivni.sistemi.htm
      Contents of lectures Memristor as a promising emerging nanoelectronic device. Memristor fundamentals, theory, analysis and modeling. Memristive devices and applications, such as logic circuits, crossbar-based nonvolatile memory, oscillator circuits, and active filters. Memristor emulators. Memristive neural networks. RF/Microwave applications of memristors.
      Contents of exercises Computer simulations and fabrications of memristor-based circuits.
      Literature
      1. M. Potrebić, D. Tošić, Microwave Memristive Components for Smart RF Front-end Modules, in Mem-elements for Neuromorphic Circuits with Artificial Intelligence Applications, Elsevier, 2021, ch. 4.
      2. M. Potrebić, D. Tošić, D. Biolek, RF/Microwave Applications of Memristors, in Advances in Memristors, Memristive Devices and Systems, Springer, Cham, 2017.
      3. Y. Yu, X. Wang, X. Feng, J. Shen, N. Tashi, P. Mazumder, Memristive Computing, Springer Singapore, 2025.
      4. B. Raj, A. Hemani, A. M. Jabir, S. Khandelwal (Editors), Nanoscale Memristor Device and Circuits Design, Elsevier, 2024.
      5. R. Tetzlaff (Editor), Memristors and Memristive Systems, 2014.
      Number of hours per week during the semester/trimester/year
      Lectures Exercises OTC Study and Research Other classes
      8
      Methods of teaching Lectures.
      Knowledge score (maximum points 100)
      Pre obligations Points Final exam Points
      Activites during lectures Test paper
      Practical lessons Oral examination 50
      Projects 50
      Colloquia
      Seminars