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.
      URL to the subject page
      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.
      1. Sundarapandian Vaidyanathan, Christos Volos (Editors), Advances in Memristors, Memristive Devices and Systems, Springer, 2017. (Original title)
      2. Ioannis Vourkas, Georgios Ch. Sirakoulis, Memristor-Based Nanoelectronic Computing Circuits and Architectures, Springer, 2016. (Original title)
      3. Ahmed G. Radwan, Mohammed E. Fouda, On the Mathematical Modeling of Memristor, Memcapacitor, and Meminductor, 2015. (Original title)
      4. Ronald Tetzlaff (Editor), Memristors and Memristive Systems, 2014. (Original title)
      5. Andrew Adamatzky, Leon Chua (Editors), Memristor Networks, 2014. (Original title)
      Number of hours per week during the semester/trimester/year
      Lectures Exercises OTC Study and Research Other classes
      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