Minor in Information Processing and Intelligent Systems | IP & IS

This Minor degree program consists of two parts: First is Information Processing and second is Intelligent Systems. The program includes understanding of physical nature of information and processing of information in the development of intelligent systems, a part of artificial intelligence.

Intelligent systems have growing number of applications in factory automation, service robotics, medical care, transportation, human identification, visual surveillance, entertainment and education. Topics include signal acquisition, information and computation, deterministic and random signal processing, understanding the role of knowledge representation, problem solving, and learning in intelligent-system.

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Key Information


  • Understand signal acquisition techniques.
  • Acquire, store and plot one and two dimensional signals.
  • Understand the physical nature of information and information processing.
  • Understand fundamentals of digital signal processing for deterministic and random signals.
  • Introduce students to the basic knowledge representation and problem solving in a variety of circumstances.

Learning Outcomes

At the end of successful completion of this Minor Degree Programme , an engineer graduate will be able to

  • 1. Acquire physical signals such as speech, image, biomedical signals and signals from sensors.
  • 2. Process the acquired signals for feature extraction in specific applications.
  • 3. Design intelligent systems in their subject area.
  • 4. Integrate knowledge from various subject areas such as Statistics, Programming, Machine Learning and Artificial Intelligence.

Assessment Method

Quiz,Open book test, Theory examination, Mini project, Laboratory experimentation, Study of research paper

List of Courses

  • Signal acquisition techniques
  • Information and Entropy
  • Image and video processing / Speech Processing and Applications
  • Deep Learning/Online course (Credit) in following areas - Automation/ Machine Learning / Biomedical signal processing / Intelligent Systems: Techniques, Applications
  • Project

Programme Outcomes

At the end of successful completion of this Minor Degree Programme , an engineer graduate will be able to

  • PO1. Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
  • PO2. Problem analysis :Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
  • PO3. Design/development of solutions:Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
  • PO5. Modern tool usage:Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
  • PO7. Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
  • PO8. Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
  • PO9. Individual and Team work: Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
  • PO11. Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
  • PO12. Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.