Unit 1
History and Foundations of AI and Data Science, Applications of AI and Data Science, Career paths pertinent to AI and Data Science
| Course Name | Introduction to AI and Machine Learning |
| Course Code | 23AID205 |
| Program | B.Tech in Artificial Intelligence and Data Science |
| Semester | 3 |
| Credits | 3 |
| Campus | Coimbatore , Amritapuri ,Faridabad , Bangaluru, Amaravati |
History and Foundations of AI and Data Science, Applications of AI and Data Science, Career paths pertinent to AI and Data Science
Rational Intelligent Agents, Agents and Environments, Nature of Environments, Structure of Agents. Introduction – Overview of Data Science – Introduction to Statistics: Sampling, Sample Means and Sample Sizes – Descriptive statistics: Central tendency, dispersion, variance, covariance, kurtosis, five-point summary
Basic tools for AI and Data Science, Introduction to Data Science process pipeline, Different representations of Data, Importance of pre-processing the data, Elementary Applications of AI and Data Science
Course Objectives
Course Outcomes
After completing this course, students will be able to
|
CO1 |
Analyse different elements of an AI system. |
|
CO2 |
Analyse different types of data representation. |
|
CO3 |
Apply concepts of AI and Data Science to solve canonical problems. |
|
CO4 |
Implement basic computational tools pertinent to AI and Data Science to solve canonical problems. |
CO-PO Mapping
|
PO/PSO |
PO1 |
PO2 |
PO3 |
PO4 |
PO5 |
PO6 |
PO7 |
PO8 |
PO9 |
PO10 |
PO11 |
PO12 |
PSO1 |
PSO2 |
PSO3 |
|
CO |
|||||||||||||||
|
CO1 |
3 |
2 |
2 |
2 |
3 |
2 |
2 |
2 |
2 |
2 |
– |
2 |
3 |
2 |
3 |
|
CO2 |
2 |
2 |
2 |
2 |
3 |
– |
– |
– |
2 |
2 |
– |
2 |
3 |
2 |
3 |
|
CO3 |
2 |
2 |
2 |
2 |
3 |
– |
– |
– |
2 |
2 |
– |
2 |
3 |
2 |
3 |
|
CO4 |
3 |
2 |
2 |
2 |
3 |
– |
– |
– |
2 |
2 |
2 |
2 |
3 |
2 |
3 |
Evaluation Pattern
|
Assessment |
Internal/External |
Weightage (%) |
|
Assignments (minimum 2) |
Internal |
30 |
|
Quizzes (minimum 2) |
Internal |
20 |
|
Mid-Term Examination |
Internal |
20 |
|
Term Project/ End Semester Examination |
External |
30 |
Text Books / References
Russell,?Stuart Jonathan,?Norvig,?Peter,?Davis,?Ernest.?Artificial Intelligence: A Modern Approach.?United Kingdom:?Pearson,?2010.
Deepak Khemani. A First Course in Artificial Intelligence.?McGraw Hill Education (India),?2013.
Denis Rothman. Artificial Intelligence by Example, Packt, 2018.
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