Professor of Electrical Engineering · Associate Dean for Graduate Studies · EC 223 · ☎ (408) 554-2394 · azecevic@scu.edu

Aleksandar Zecevic

Biography

Dr. Aleksandar Zecevic is a Professor of Electrical Engineering at Santa Clara University, and the Associate Dean for Graduate Studies. His technical research interests include graph theoretic decomposition algorithms, electric power systems, Boolean networks and the control of complex dynamic systems. He has published more than 40 papers in the leading journals in these fields, and some of his most important results are summarized in his book: Control of Complex Systems: Structural Constraints and Uncertainty (2010).

Over the past 15 years, Dr. Zecevic has also done a considerable amount of work in the area of science and religion. He has recently published two books on this subject: Truth, Beauty and the Limits of Knowledge: A Path from Science to Religion (which is aimed at a broad audience), and The Unknowable and the Counterntuitive: The Surprising Insights of Modern Science (which provides an advanced treatment of technical topics such as chaos theory, metamathematics, quantum mechanics and relativity).

In 2005, Dr. Zecevic developed a unique new course entitled: Chaos Theory, Metamathematics and the Limits of Knowledge: A Scientific Perspective on Religion. What makes this course unusual is the fact that it counts both as a technical elective for engineering students, and satisfies the third religious studies requirement in Santa Clara University’s Core Curriculum. This may well be the only religious studies course in the world that has differential equations as a prerequisite, and requires extensive programming and simulation.

Recent Books

  • Book Cover Truth, Beauty, and the Limits of Knowledge: A Path from Science to Religion

    (University Readers, )

  • Book Cover The Unknowable and the Counterintuitive: The Surprising Insights of Modern Science

    (University Readers, )

  • Book Cover Control of Complex Systems: Structural Constraints and Uncertainty

    (Springer, )