HEAD
Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal(M.P.)
Fourth Semester- Master of Computer Application
S.No. | Subject Code | Subject Name | Periods per week | Credits | Maximum Marks (Theory Slot) | Maximum Marks (Practical Slot) | Total Marks | |||||
End Sem. Exam. | Tests (Two) | Assignm ents/Quiz | End Sem. Practical/ Viv a | Practical Record/Qui z/Assignme nt/Present ation | ||||||||
L | T | P | ||||||||||
1. | MCA 401 | Elective –IV | 3 | 1 | - | 4 | 70 | 20 | 10 | - | - | 100 |
2. | MCA 402 | Elective-V | 3 | 1 | - | 4 | 70 | 20 | 10 | - | - | 100 |
3. | MCA 403 | Elective-VI | 3 | 1 | - | 4 | 70 | 20 | 10 | - | - | 100 |
4. | MCA 404 | Major Project | - | - | 16 | 16 | - | - | - | 250 | 150 | 400 |
5. | MCA 405 | Lab of Elective-IV ,V and VI | - | - | 2 | 2 | 30 | 20 | 50 | |||
Total | 9 | 3 | 18 | 30 | 210 | 60 | 30 | 280 | 170 | 750 |
L: Lecture - T: Tutorial - P: Practical | ||
Elective – IV | Elective-V | Elective-VI |
1. Advanced Python | 1. Deep Learning | 1. Information Security |
2. Advanced Web Technology | 2. Cloud Computing Technologies | 2. Block Chain and Cryptocurrency |
3. Big data with Analytics | 3 Digital marketing | 3. Mobile Computing |
Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal(M.P.)
Fourth Semester- Master of Computer Application
S.No. | Subject Code | Subject Name | Periods per week | Credits | Maximum Marks (Theory Slot) | Maximum Marks (Practical Slot) | Total Marks | |||||
End Sem. Exam. | Tests (Two) | Assignm ents/Quiz | End Sem. Practical/ Viv a | Practical Record/Qui z/Assignme nt/Present ation | ||||||||
L | T | P | ||||||||||
1. | MCA 401 | Elective –IV | 3 | 1 | - | 4 | 70 | 20 | 10 | - | - | 100 |
2. | MCA 402 | Elective-V | 3 | 1 | - | 4 | 70 | 20 | 10 | - | - | 100 |
3. | MCA 403 | Elective-VI | 3 | 1 | - | 4 | 70 | 20 | 10 | - | - | 100 |
4. | MCA 404 | Major Project | - | - | 16 | 16 | - | - | - | 250 | 150 | 400 |
5. | MCA 405 | Lab of Elective-IV ,V and VI | - | - | 2 | 2 | 30 | 20 | 50 | |||
Total | 9 | 3 | 18 | 30 | 210 | 60 | 30 | 280 | 170 | 750 |
L: Lecture - T: Tutorial - P: Practical | ||
Elective – IV | Elective-V | Elective-VI |
1. Advanced Python | 1. Deep Learning | 1. Information Security |
2. Advanced Web Technology | 2. Cloud Computing Technologies | 2. Block Chain and Cryptocurrency |
3. Big data with Analytics | 3 Digital marketing | 3. Mobile Computing |