Lecture and section information

CS 60050, Autumn 2016 Lecture time: MTF 17:00hr - 18:00hr Location : NR222, Nalanda Complex

Course Content

• Introduction
• Concept Learning
• Decision Trees
• Bayes Classifier
• Support Vector Machine
• Neural Networks
• Ensemble methods
• Feature Selection
• Clustering
• Sequence learning
• Learning theory

Attendance Policy

Attendance is compulsory in ALL classes. Attendance below 70% will lead to deregistration.

Grading Policy

• Mid Semester Exam
• End Semester Exam
• Surprise Quizzes
• Term Project (with regular surprise evaluations)

Lecture notes and assignments will be posted on Moodle. Please register for the course on Moodle by 31st July 2016. The Term Projects have to be maintained in assigned repositories on the CS60050 Github Organization. Please fill your details in this form by 31st July 2016.