A Centre of Excellence (CoE) in Systems Science (SS) is established to
promote a new academic interdisciplinary engineering education and research program for a sustainable future. The Bachelors of Technology program in Systems Science therefore,
has the aspiration to educate the students to
become critical, conscious and engaged engineer scientists in the spirit of systems thinking towards
society for a diverse set of application domains such as engineering systems, cognitive systems,
ecological systems, business & Financial systems and complex networked systems such as smart
communities, with the emphasis on the ethical stance towards society, sustainability of the solutions
proposed and awareness of the implications to the environment and society. The students will have
the opportunity to validate to a large extent the acquired knowledge via a project. The programme is
structured such that milestones in the development of competences can be defined after each
semester. The learning environment in CoE SS will enable students to practice observing patterns in
the characteristics of systems, study systems to build models, and cultivate systems thinking in
solving problems that face humanities in the coming century. The aim of this program is not just to
create systems engineers who would develop, construct and design systems, but also their
operation, control, analysis and verification, the understand as far as possible the entire life-cycle of
the system. A wide variety of research activities are planned concerning systems that have
immediate benefits for society, ranging from energy systems to the healthcare. Complex systems
engineering with the focus on the underlying mathematical foundations forms the essence of this
The Systems Science & Systems Engineering perspective:
Systems can be classified broadly of two types: Natural Systems and Artificial Systems. Natural systems are those who do not require human support and are not always amenable for human intervention. Artificial systems on the contrary are about artificial objects that are often controllable to achieve a desired goal.
In systems science we study system to build models, and in systems engineering we design and build systems using model.
Complexity in the environments with which the systems interact is a prime issue in systems designing, and thus understanding complexity in natural systems (for example, neural systems) help students learn how to build/improve systems. Thus studying systems science is the first step to become a system engineer.
Interdisciplinary structure of the course curricula:
This course is recommended for aspirants who wish to become system engineers making full use of software and hardware, financial engineering, sustainability, High-performance Computing, those hoping to tackle socially relevant problems including energy issues and environmental problems. There will be about 20-25 lectures every week, as well as tutorials and labs. In the first two semesters students will be educated in basic science, engineering science, social science and interdisciplinary science courses in systems perspective that help them to understand the dynamics of physical systems. In the following semesters (up to 7th semester) students will have the full freedom to opt various open-elective courses offered in ICT and Energy. Besides, open electives in Social science, engineering systems & design, complexity & behavior, earth sciences, business etc. may also be opted. Elective courses in Systems Science will be offered in each semester (3rd semester onward) along with the core systems science courses. Students in Systems Science will have the full freedom to choose one SS elective course. In the 8th semester, student is free to do the project in systems engineering. There will be technical courses offered during summer by reputed industries and students would experience the complexity and challenge in industry.
Overview of Courses:
Course Structure (Semester wise) in BTech Systems Science:
PDS: Programming & Data Structure, SID: System Integration and Design, ECS: English & Communication skills, EECO: Engineering Economics, EGRA: Engineering Graphics,SS-ELEC:Systems Science Elective, OPELEC: Open Elective, HSS: Humanities & Social Science, SS core: Systems Science Core
Bloom's Taxonomy of Learning Domains :
A committee of colleges, led by Benjamin Bloom (1956), identified three domains of educational activities, namely
Bloom's Taxonomyin the Systems Science BTech program
Future prospect of B.Tech SS:
Systems thinking is becoming indispensable in developing several decision support systems in various walks of life. The graduating students are expected to find suitable opportunities in all industries that develop human friendly technologies as well as pursue higher studies in domains as diverse as humanities and management sciences.