Course Description

Course Learning Objectives: This course (18CSL76) will enable students to:

👉 Implement and evaluate AI and ML algorithms in and Python programming language.

 Course Outcomes: The student will be able to :

CO1 :  Implement and demonstrate AI and ML algorithms.

CO2 :  Evaluate different algorithms.

Conduct of Practical Examination:

 Experiment distribution

o For laboratories having only one part: Students are allowed to pick one experiment from the lot with equal opportunity.

o For laboratories having PART A and PART B: Students are allowed to pick one experiment from PART A and one   experiment from PART B, with equal opportunity.

•  Change of experiment is allowed only once and marks allotted for procedure to be made zero of

the changed part only.

• Marks Distribution (Courseed to change in accoradance with university regulations)

q) For laboratories having only one part – Procedure + Execution + Viva-Voce: 15+70+15 =

100 Marks

r) For laboratories having PART A and PART B

                      i. Part A – Procedure + Execution + Viva = 6 + 28 + 6 = 40 Marks

                     ii. Part B – Procedure + Execution + Viva = 9 + 42 + 9 = 60 Marks