Course abstract
For an autonomous agent to behave in an intelligent manner it must be able to solve problems. This means it should be able to arrive at decisions that transform a given situation into a desired or goal situation. The agent should be able to imagine the consequence of its decisions to be able to identify the ones that work. In this first course on AI we study a wide variety of search methods that agents can employ for problem solving.
In a follow up course knowledge representation and reasoning - we will go into the details of how an agent can represent its world and reason with what it knows.
These two courses should lay a strong foundation for artificial intelligence, which the student can build upon.
Course Instructor
Prof. Deepak Khemani
Department of Computer Science and EngineeringIIT Madras
Chennai 600036, India
More info
Course Sponsors
Teaching Assistant(s)
Course Duration : Jul-Nov 2015
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Syllabus
Enrollment : 02-Jun-2015 to 12-Jul-2015
Exam registration : 01-Sep-2015 to 15-Oct-2015
Exam Date : 01-Nov-2015, 08-Nov-2015
Enrolled
4182
Registered
115
Certificate Eligible
93
Certified Category Count
Gold
0
Elite
2
Successfully completed
9
Participation
82
Success
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Category : Successfully Completed
Elite
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Category : Elite
Gold
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Category : Gold
Legend
>=90 - Elite+Gold
60-89 - Elite
35-59 - Successfully Completed
<=34 - Certificate of Participation
Final Score Calculation Logic
- Assignment Score = Average of best 8 out of 14 assignments
- FINAL SCORE (Score on Certificate) = 60% of Exam Score + 40% of Assignment Score+5 marks
- NOTE:Assignment 5 and Assignment 6 are not taken into account while calculating assignment score.They will not be displayed here.5 marks has been added to final score for all the candidates.
Exam score
Final score