Course Instructor
Office: F119, Block e
Email: abdul.wahid@iiitdwd.ac.in
Teaching Assistant
Anupama Patila
Madhu Asundi
Schedule
Monday (Lecture)
09:00- 10:30 (Room No. C004)
Wednesday (Tutorial)
12:15- 13:15 (Room No. C004)
Thursday (Lecture)
10:45- 12:15 (Room No. C004)
Announcement
The final exam will be held on October 15, 2024.
The deadline for submitting the assignmnet is October 11, 2024.
Quiz exam will be held on September 18, 2024.
Classes will commence on September 2, 2024.
Course Objective:
This course provides a broad overview of the exciting and rapidly evolving fields of Data Science and Artificial Intelligence. Students will gain foundational knowledge of the core concepts, techniques, and applications of both domains. This gives the flavor of DS and AI to the students across different disciplines
Course Learning Outcomes:
LO1: Explain the core concepts, history, and significance of Data Science and Artificial Intelligence.
LO2: Demonstrate knowledge of data collection methods, data types, and preprocessing techniques, including data quality and cleaning.
LO3: Explain the foundations of AI, including its subfields, infrastructure, and identify its applications across various domains. LO4: Describe key terminologies and algorithms in Machine Learning, and discuss the ethical implications of AI.
Assessment Components:
Quiz: 20% Date: September 18, 2024
Assignment/Project: 30% Date: October 11, 2024
End Semester Exam: 50% Date: October 15, 2024
Text/Reference Books:
Since this course gives the essence of various topics in DS and AI, there is no single text book that can cover all the topics. The following are the important reference books.
“Data Science” by John D Kelleher, Brendan Tierney, MIT Press, 2018, ISBN: 9780262347037
“Artificial Intelligence: A Modern Approach” by Russell and Norvig (4th edition) , Pearson , 2020, ISBN: 978-0134610993
Course Materials:
September:
October:
All inquiries regarding the course should be directed to the course instructor/faculty at abdul.wahid@.iiitdwd.ac.in