Artificial Intelligence for Semester Exam with MCQs and Notes
Artificial Intelligence, MAKAUT
Updated on Jun, 2025
Language - Bengali/Bangla
Teaching and Academics ,Engineering,Computer Science
Lectures -21
Resources -16
Duration -7 hours
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Course Description
This course is designed to prepare the student for his or her semester examinations, ensuring that at the end of the course, the student should be well-versed with both core principles and techniques applicable in Artificial Intelligence. This makes sure not only that the student learns concepts on AI but gets an ample opportunity to see how and where to apply them in practice.This course is designed to prepare the student for his or her semester examinations, ensuring that at the end of the course, the student should be well-versed with both core principles and techniques applicable in Artificial Intelligence. This makes sure not only that the student learns concepts on AI but gets an ample opportunity to see how and where to apply them in practice.
Goals
Students should be able to demonstrate knowledge and understanding of important concepts and terminologies in AI by the end of this course. They should also be able to analyze techniques that can be used to solve different types of AI problems and their applications. Further, they should be able to critically evaluate existing approaches toward knowledge representation, compare one with the other, in terms of impact for AI systems, and pose for scenarios to apply machine learning algorithms for solving practical problems.
Know and appreciate principles of natural language processing and its applications.
Introduce impacts of AI on society and technology. The last students, after completing this course will be able to attain the following outcomes.
Clearly outline main AI concepts and terms.
Analyze various AI techniques in solving problems, as well as their applications.
Evaluate critically alternative approaches to knowledge representation of all kinds on AI systems.
Practice applications through the execution of machine learning algorithms.
Be well aware of the principles and applications of natural language processing.
One can talk about ethics in AI, society, and technology.
Prerequisites
none
Curriculum
Check out the detailed breakdown of what’s inside the course
UNIT I
3 Lectures
-
Intelligent Agents
19:45
19:45
-
Problem Solving
20:34
20:34
-
Problem Space & search
18:19
18:19
UNIT 2
5 Lectures
UNIT 3
3 Lectures
UNIT 4
5 Lectures
UNIT 5
5 Lectures
Instructor Details
Dr. Santanu Modak
I, Santanu Modak, 3 times UGC NET Qualified have 10 years of College Teaching Experience in a Reputed College in Kolkata, India. I also have Examiner and Paper setter experience in Various College and University Examination. I gave an Industrial Talk on DATA SCIENCE.
Published in six International Journals.
Presented Research Papers at National and International conferences.
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