Course Details: Differential and integral Calculus
CSE101: Introduction to Computer Science
Course Description:
This course introduces the fundamental concepts of Artificial Intelligence (AI), including search algorithms, knowledge representation, machine learning, and reasoning. The course covers various AI techniques and their applications in solving complex real-world problems. Students will learn to design and implement AI algorithms, understand the ethical implications of AI, and explore the future trends of AI in various fields. The course includes a compulsory 3-hour laboratory work each week.
Course Objectives:
- Provide an understanding of the basic principles and techniques of Artificial Intelligence.
- Introduce students to search strategies, knowledge representation, and reasoning techniques.
- Develop skills in designing intelligent agents capable of performing tasks that require human-like intelligence.
- Explore machine learning algorithms and their applications in data-driven decision-making.
- Discuss the ethical and societal implications of Artificial Intelligence and its impact on future technology.
List of Books:
- Artificial Intelligence: A Modern Approach, Stuart Russell and Peter Norvig, 2020, 4th Edition, Pearson, ISBN-13: 978-0134610993
- Machine Learning, Tom M. Mitchell, 1997, McGraw-Hill, ISBN-13: 978-0070428072
Course Materials:
Text and Reference Books, Lab usage manual, Programming IDE (Python, TensorFlow, Jupyter Notebook)