<<<<<<< HEAD rgpv scheme MTech Grading System 3rd Semester Microsoft Word - III sem IOT _Scheme_

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Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal(M.P.)

Scheme of Examination (w.e.f. 20-21)

Third Semester- M.E./ M.Tech ( Internet of Things)



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)

Assignme nts/Quiz

End Sem.

Practical/Vi va

Practical Record/Assign ment/Quiz/Pre sentation


L


T


P

1.

MTIO 301

Elective IV

3

1

-

4

70

20

10

-

-

100

2.

MTIO 302

Elective V

3

1

-

4

70

20

10

-

-

100

3.

MTIO 303

Seminar

-

-

4

4

-

-

-

-

100

100

4.

MTIO 304

Dissertation Part- I (Literature Review/Problem Formulation/

Synopsis)

-

-

8

8

-

-

-

120

80

200



Total

6

2

12

20

140

40

20

120

180

500

L: Lecture - T: Tutorial - P: Practical


Elective –IV (Select any one from A/B/C)

(A) AI and Machine Learning


(B) Industrial IoT


(C) IoT Application & Web Development


Elective-V (Select any one from A/B/C)

(A) Wearable Computing


(B) Augmented & Virtual Reality


(C) Energy Harvesting Technologies and Power

Management for IoT Devices

======= rgpv scheme MTech Grading System 3rd Semester Microsoft Word - III sem IOT _Scheme_

image

Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal(M.P.)

Scheme of Examination (w.e.f. 20-21)

Third Semester- M.E./ M.Tech ( Internet of Things)



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)

Assignme nts/Quiz

End Sem.

Practical/Vi va

Practical Record/Assign ment/Quiz/Pre sentation


L


T


P

1.

MTIO 301

Elective IV

3

1

-

4

70

20

10

-

-

100

2.

MTIO 302

Elective V

3

1

-

4

70

20

10

-

-

100

3.

MTIO 303

Seminar

-

-

4

4

-

-

-

-

100

100

4.

MTIO 304

Dissertation Part- I (Literature Review/Problem Formulation/

Synopsis)

-

-

8

8

-

-

-

120

80

200



Total

6

2

12

20

140

40

20

120

180

500

L: Lecture - T: Tutorial - P: Practical


Elective –IV (Select any one from A/B/C)

(A) AI and Machine Learning


(B) Industrial IoT


(C) IoT Application & Web Development


Elective-V (Select any one from A/B/C)

(A) Wearable Computing


(B) Augmented & Virtual Reality


(C) Energy Harvesting Technologies and Power

Management for IoT Devices

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