Minor in Intelligent Systems

Minor in Intelligent Systems

This Minor degree program "Intelligent Systems" focuses on computers and systems with intelligence. These systems can take various forms; some examples include speech and facial recognition software, drones and driverless automobiles, as well as e-commerce.

Basically, intelligent systems are computer-based systems with the ability to collect and interpret data, also make the decisions based on data. Rather than adhering to a rigid set of guidelines, the system has the ability to identify valuable patterns and acquire strategies and processes that optimize the final results. To put it another way, the system acquires artificial intelligence through training on large amounts of data using a range of mathematical/computational models.

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Key Information

Learning Outcomes

At the successful completion of Information and Intelligent Systems Minor Programme, an engineering graduate will be able to:

  • LO1. Acquire physical signals such as speech, image, biomedical signals and signals from sensors.
  • LO2. Process the acquired signals for feature extraction in specific applications.
  • LO3. Design intelligent systems in their subject area.
  • LO4. Integrate knowledge from various subject areas such as Statistics, Programming, Machine Learning and Artificial Intelligence.

Assessment Method

Quiz, Open book test, Theory examination, Mini projects, Laboratory experimentation, Study of research paper, Case Studies etc.

Eligibility Criteria

Students who have passed the First Year of Engineering in Computer Engineering / Information Technology /Artificial Intelligence & Data Science / Mechanical Engineering/ Computer & Communication Engineering/ Robotics & Artificial Intelligence/ Electronics Engineering (VLSI Design & Technology)/ Computer Science & Business Systems.

List of Proposed Courses

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

Objectives

  • Understand signal acquisition techniques.
  • Identify problems where intelligence techniques are applicable.
  • Understand selected basic machine learning techniques; judge applicability of more advanced techniques

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