4 exam sessions, from June 2023 to April 2025. Download one paper, or tick several for a ZIP or one merged PDF. Free, no sign-up.
CST444 previous year question papers
CST444 syllabus
This course enables the learners to understand the concepts of Soft Computing techniques and its applications. It covers Artificial Neural Networks, operations and models of fuzzy logic, genetic algorithms and multi objective optimization techniques. This course helps the students to develop algorithms and solutions for different real world applications.
Prerequisite: NIL. Mapping of course outcomes with program outcomes
Course outcomes
| CO | Outcome | Level |
|---|---|---|
| CO1 | Describe soft computing techniques and the basic models of Artificial Neural NetworkUnderstand | Understand |
| CO2 | Solve practical problems using neural networksApply | Apply |
| CO3 | Illustrate the operations, model and applications of fuzzy logicApply | Apply |
| CO4 | Illustrate the concepts of Genetic AlgorithmApply | Apply |
| CO5 | Describe the concepts of multi-objective optimization models and the need for using hybrid soft computing approachesUnderstand | Understand |
Departments that study CST444
- Artificial Intelligence (S7)
- AI & Data Science (S7)
- Computer Science Engineering (S8)
- Computer Science and Engineering (Artificial Intelligence and Data Science) (S7)
- Computer Science and Engineering (Artificial Intelligence) (S8)
- Computer Science and Engineering (Cyber Security) (S8)
- Computer Science – Data Science (S8)
- Cyber Security (S8)
Frequently asked questions
Which KTU scheme is CST444 in?
Soft Computing (CST444) is in the KTU 2019 scheme and is a PEC course.
How many credits is Soft Computing?
Soft Computing (CST444) carries 3 credits.
Which semester is CST444 taught in?
CST444 is taught in S7, S8. The semester differs between departments.
Where can I download CST444 previous year question papers?
This page lists 4 CST444 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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