Home / Semester 1 / SSC200
Back to Subjects

SSC200 — Fundamentals Of Artificial Intelligence

Practice

Course Overview

SSC200 3 Credits L:3 T:0 P:0 Core
Download Syllabus

This course introduces the key concepts, historical background, applications, tools, and ethical challenges of Artificial Intelligence. It also examines AI-related career opportunities and emerging trends for social science students.

Study Units

Unit 1

Introduction to Artificial Intelligence

Notes MCQ Subjective
Unit 2

Nature of Data and Machine Learning

Notes MCQ Subjective
Unit 3

Expert systems

Notes MCQ Subjective
Unit 4

AI Tools You Can Use

Notes MCQ Subjective
Unit 5

Ethics and Challenges of AI

Notes MCQ Subjective
Unit 6

Future of AI and Careers for Social Science Students

Notes MCQ Subjective

Continuous Assessment

3 components

Best 2 of 3 CAs will be considered for evaluation.
Assignment 50%

Prepare a poster, video, or presentation on a contemporary issue

Week 3 / 5

Rubric
To develop the capability to apply AI technologies in daily life.

Test 1 50%

Subjective test

Week 8 / 9

Rubric
to evaluate the level of understanding

Test 2 50%

Subjective test covering the syllabus from CA1 and CA2

Week 12 / 13

Rubric
To test the subject knowledge of the students and provide an opportunity to improve their CA performance in case of low marks or any missed CA

Exams & Practice

Mid Term Examination

Mid-semester comprehensive evaluation

20%

End Term Examination

Final semester comprehensive evaluation

50%

Type: Examination

SSC200 - FAQs

How many units are in SSC200?

SSC200 has 6 units. Each unit includes detailed notes and MCQ practice questions.

What exam resources are available for SSC200?

Unit-wise notes and MCQ practice are available. Exam resources coming soon.

How to prepare for SSC200 exams?

Study each unit's notes thoroughly, practice MCQs to test understanding, and attempt mock tests before exams. Focus on important topics and previous year questions.