SSIE 483X/583X - Evolutionary Systems & Biologically Inspired Computing

This course is strongly grounded on the foundations of complex systems and theoretical biology. It aims to provide an understanding of the distributed architectures of natural complex systems, and how those are used to produce computational tools with enhanced robustness, scalability, resilience and which can interface more effectively with humans. It is a multi-disciplinary field strongly based on biology, complexity, computer science, informatics, cognitive science, robotics, and cybernetics. Students are introduced to fundamental topics in evolutionary systems and bio-inspired computing, and build up their proficiency in the application of various algorithms in real-world problems.

Semesters: Spring 2022

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SSIE 501 - Introduction to Systems Science (for the Executive Program in Health Systems - Manhattan)

The course deals with the foundations of Systems Science, as well as current advances in Complex Networks and Systems which is the modern expression of this interdisciplinary field. This course is designed to introduce and discuss the history, methodology and impact of complex systems science; we cover key literature, recent advances in the field, and introduce useful computational techniques in the field. We will study concepts such as Information, General Systems Theory, Networks, Modeling, Multi-Level Complexity, as well as their impact on science and society. The course will also attempt to define and understand what systems thinking can bring to science and society.

Semesters: Spring 2022

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I609 - Complex Networks & Systems Seminar I

This seminar is designed to present and discuss the history, methodology and impact of complex networks & systems; we cover key literature as well as recent advances in the field. The course is required for the PhD in Informatics as well as the NSF-NRT Interdisciplinary Training Program in Complex Networks and Systems at Indiana University.

Semesters: Spring 2021, 2020, 2019, 2018, 2016, 2014, 2012

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I501 - Introduction to Informatics

The course presents the history, methodology and impact of informatics; students are introduced to various approaches to informatics via the appropriate literature, as well as a familiarization with what constitutes research in the field and relevant funding opportunities. There is a focus on computational and systems thinking in science and society. The course is required for the PhD in Informatics as well as the NSF-NRT Interdisciplinary Training Program in Complex Networks and Systems at Indiana University.

Semesters: Fall 2017, 2015, 2014, 2008

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I485/H400 - Biologically Inspired Computing

Students will be introduced to fundamental topics in bio-inspired computing, and build up their proficiency in the application of various algorithms in real-world problems.

Semesters: Spring 2015; Fall 2013

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I485/H400/I585 - Biologically Inspired Computing

Students will be introduced to fundamental topics in bio-inspired computing, and build up their proficiency in the application of various algorithms in real-world problems.

Semesters: Fall 2005; Spring 2007; Fall 2007; Spring 2009; Fall 2010-2012

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I101 - Introduction to Informatics

Students will be introduced to fundamental topics in Informatics while developing a basic understanding of Information Theory. They will build up their proficiency in Information Technology as detailed in the course syllabus, emphasizing its use in the modeling of nature and technology.

Semesters: Spring 2005; 2006; 2007

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I709 - Complex Systems Seminar II

This seminar is designed to present and discuss the history, methodology and impact of complex systems; we cover key literature as well as recent advances in the field.

Semesters: Spring 2011; Spring 2008

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Last Modified: March 12, 2022