7 exam sessions, from December 2022 to November 2025. Download one paper, or tick several for a ZIP or one merged PDF. Free, no sign-up.
CST401 previous year question papers
CST401 syllabus
The course aims to introduce the fundamental principles of intelligent systems to students. This involves ideas about the characteristics of intelligent systems, knowledge representation schemes, logic and inference mechanisms. The course helps the learner to understand the design of self learning systems along with some of their typical applications in the emerging scenario where the business world is being transformed by the progress made in machine learning.
Prerequisite: NIL
Course outcomes
| CO | Outcome | Level |
|---|---|---|
| CO1 | Explain the fundamental concepts of intelligent systems and their architecture.Understand | Understand |
| CO2 | Illustrate uninformed and informed search techniques for problem solving in intelligent systems.Understand | Understand |
| CO3 | Solve Constraint Satisfaction Problems using search techniques.Apply | Apply |
| CO4 | Represent AI domain knowledge using logic systems and use inference techniques for reasoning in intelligent systems.Apply | Apply |
| CO5 | Illustrate different types of learning techniques used in intelligent systemsUnderstand | Understand |
Departments that study CST401
- Computer Science Engineering (S7)
Frequently asked questions
Which KTU scheme is CST401 in?
Artificial Intelligence (CST401) is in the KTU 2019 scheme and is a PCC course.
How many credits is Artificial Intelligence?
Artificial Intelligence (CST401) carries 3 credits.
Which semester is CST401 taught in?
CST401 is taught in S7.
Where can I download CST401 previous year question papers?
This page lists 7 CST401 question papers. Select them and download as a ZIP or one merged PDF. It is free and needs no sign-up.
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