S.N o. | Subject Code | Ca teg or y | Subject Name | Maximum Marks Allotted | Total Marks | Contact Hours per week | Total Credits | |||||||
Theory | Practical | |||||||||||||
End Sem. | Mid Sem. Exam. | Quiz/ Assignment | End Sem | Term work | L | T | P | |||||||
Lab Work & Sessional | ||||||||||||||
1. | AD 601 | DC | Deep Learning | 70 | 20 | 10 | 3 0 | 20 | 150 | 2 | 1 | 2 | 4 | |
2. | AD 602 | DC | Computer Networks | 70 | 20 | 10 | 3 0 | 20 | 150 | 2 | 1 | 2 | 4 | |
3. | AD 603 | DE | Departmental Elective | 70 | 20 | 10 | - | - | 100 | 4 | - | 0 | 4 | |
4. | AD 604 | OE | Open Elective | 70 | 20 | 10 | - | - | 100 | 4 | - | 0 | 4 | |
5. | AD 605 | D Lab | Departmental ElectiveLab | - | - | - | 3 0 | 20 | 50 | - | - | 6 | 3 | |
6. | AD 606 | O/E Lab | Open Elective Lab | - | - | - | 3 0 | 20 | 50 | - | - | 6 | 3 | |
7. | AD 607 | IN | Internship-III | To be completed anytime during Fifth/Sixth semester. Its evaluation/credit to be added in Seventh Semester. | ||||||||||
8. | AD 608 | P | Minor Project II | - | - | - | - | 50 | 50 | - | - | 4 | 2 | |
9. | Addition al Credits# | #Additional credits can be earned through successful completion of credit based MOOC’s Courses available on SWAYAM platform (MHRD) at respective UG level. | ||||||||||||
Total | 280 | 80 | 40 | 120 | 130 | 650 | 12 | 2 | 20 | 24 | ||||
Departmental Elective | Open Electives |
AD 603 (A)Data Mining & Warehousing | AD 604(A) Internet of Things |
AD 603 (B) Digital Image Processing | AD 604(B) Block chain Technologies |
AD 603 (C) Information Retrieval | AD 604 (C) Compiler Design |
# Open Electives can be offered to students of all branches including AI&DS branch. However, they can be offered to students of Non-AI&DS branches only if they have not taken any similar courses previously and have sufficient knowledge of pre-requisite courses (if any) of respective open electives subject.
1 Hr Lecture 1 Hr Tutorial 2 Hr Practical
1 Credit1 Credit1 Credit
=======S.N o. | Subject Code | Ca teg or y | Subject Name | Maximum Marks Allotted | Total Marks | Contact Hours per week | Total Credits | |||||||
Theory | Practical | |||||||||||||
End Sem. | Mid Sem. Exam. | Quiz/ Assignment | End Sem | Term work | L | T | P | |||||||
Lab Work & Sessional | ||||||||||||||
1. | AD 601 | DC | Deep Learning | 70 | 20 | 10 | 3 0 | 20 | 150 | 2 | 1 | 2 | 4 | |
2. | AD 602 | DC | Computer Networks | 70 | 20 | 10 | 3 0 | 20 | 150 | 2 | 1 | 2 | 4 | |
3. | AD 603 | DE | Departmental Elective | 70 | 20 | 10 | - | - | 100 | 4 | - | 0 | 4 | |
4. | AD 604 | OE | Open Elective | 70 | 20 | 10 | - | - | 100 | 4 | - | 0 | 4 | |
5. | AD 605 | D Lab | Departmental ElectiveLab | - | - | - | 3 0 | 20 | 50 | - | - | 6 | 3 | |
6. | AD 606 | O/E Lab | Open Elective Lab | - | - | - | 3 0 | 20 | 50 | - | - | 6 | 3 | |
7. | AD 607 | IN | Internship-III | To be completed anytime during Fifth/Sixth semester. Its evaluation/credit to be added in Seventh Semester. | ||||||||||
8. | AD 608 | P | Minor Project II | - | - | - | - | 50 | 50 | - | - | 4 | 2 | |
9. | Addition al Credits# | #Additional credits can be earned through successful completion of credit based MOOC’s Courses available on SWAYAM platform (MHRD) at respective UG level. | ||||||||||||
Total | 280 | 80 | 40 | 120 | 130 | 650 | 12 | 2 | 20 | 24 | ||||
Departmental Elective | Open Electives |
AD 603 (A)Data Mining & Warehousing | AD 604(A) Internet of Things |
AD 603 (B) Digital Image Processing | AD 604(B) Block chain Technologies |
AD 603 (C) Information Retrieval | AD 604 (C) Compiler Design |
# Open Electives can be offered to students of all branches including AI&DS branch. However, they can be offered to students of Non-AI&DS branches only if they have not taken any similar courses previously and have sufficient knowledge of pre-requisite courses (if any) of respective open electives subject.
1 Hr Lecture 1 Hr Tutorial 2 Hr Practical
1 Credit1 Credit1 Credit
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