Syllabus
Syllabus-D
Ph.D. Admission Details (K.U. Kurukshetra)
Form Advt. : August
Last Date of Form submission: 30th Sept.
Entrance Test : November
Result December(Pre) and Jan (Main)
Course Work: Feb-March to Aug-Sept.
Guide Allocation: October
| 1. Entrance Test Syllabu | 2 Course Work Syllbus | 3. Sample Q. | 4.PhD Ordinance |
Ph.D. Submission
Ph.D Related Forms and Letters
| 1. Topic Approval | 2 | 3 Chairman Forwarding | 4 No Dues | 5 | 6 Chairman Forwarding |
M.Tech Syllabus Proposed M.Tech. Syllabus (Old)
MCA Scheme and Syllabus (NON-CBCS) – Proposed
Scheme of Examination for Master of Computer Applications (Non-CBCS)
MCA I and II Semester Syllabus (Non-CBCS) w.e.f. 2020-21
MCA III and IV Semester Syllabus (Non- CBCS) w.e.f 2020-21
MCA Syllabus (CBCS) – Proposed
MCA I, II , III and IV Semester Syllabus (Non-CBCS) w.e.f. 2020-21
|
Scheme of Examination for Master of Computer Applications ( CBCS ) w. e. f. Academic Session 2020-21 |
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|
Paper Code |
Nomenclature of Paper |
Credits |
Workload Per Week (Hrs.) |
Exam Time (Hrs.) |
External Marks |
Internal Marks |
Total Marks |
Pass Marks |
|
|
Max. |
Pass |
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|
First Semester |
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|
MCA-20-11 |
Programming in Java |
4 |
4 |
3 |
75 |
30 |
25 |
100 |
40 |
|
MCA-20-12 |
Data Structures using C++ |
4 |
4 |
3 |
75 |
30 |
25 |
100 |
40 |
|
MCA-20-13 |
Operating Systems |
4 |
4 |
3 |
75 |
30 |
25 |
100 |
40 |
|
MCA-20-14 |
Data Communication and Computer Networks |
4 |
4 |
3 |
75 |
30 |
25 |
100 |
40 |
|
MCA-20-15 |
Object-Oriented Analysis and Design using UML |
4 |
4 |
3 |
75 |
30 |
25 |
100 |
40 |
|
MCA-20-16 |
S/W Lab – I Based on MCA-20-11 |
2.5 |
5 |
3 |
100 |
40 |
– |
100 |
40 |
|
MCA-20-17 |
S/W Lab – II Based on MCA-20-12 |
2.5 |
5 |
3 |
100 |
40 |
– |
100 |
40 |
|
Total |
25 |
30 |
575 |
230 |
125 |
700 |
280 |
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|
Second Semester |
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|
MCA-20-21 |
Web Technologies |
4 |
4 |
3 |
75 |
30 |
25 |
100 |
40 |
|
MCA-20-22 |
Linux And Shell Programming |
4 |
4 |
3 |
75 |
30 |
25 |
100 |
40 |
|
MCA-20-23 |
Advanced Data Base Systems |
4 |
4 |
3 |
75 |
30 |
25 |
100 |
40 |
|
MCA-20-24 |
Elective-I |
4 |
4 |
3 |
75 |
30 |
25 |
100 |
40 |
|
MCA-20-25 |
Elective-II |
4 |
4 |
3 |
75 |
30 |
25 |
100 |
40 |
|
MCA-20-26 |
S/W Lab – III Based on MCA-20-21 and MCA-20-23 |
2.5 |
5 |
3 |
100 |
40 |
– |
100 |
40 |
|
MCA-20-27 |
S/W Lab – IV Based on MCA-20-22 |
2.5 |
5 |
3 |
100 |
40 |
– |
100 |
40 |
|
OE-20-28 |
Open Elective Based on MOOCs ( The selected course should not be directly related with Computer Science ) Or As Per University Guidelines |
2 |
2 |
3 |
35 |
14 |
15 |
50 |
20 |
|
Total |
27 |
32 |
610 |
244 |
140 |
750 |
300 |
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|
Elective – I |
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|
MCA-20-24 (i) |
Principles of Programming Languages |
4 |
4 |
3 |
75 |
30 |
25 |
100 |
40 |
|
MCA-20-24 (ii) |
High Performance Networks |
4 |
4 |
3 |
75 |
30 |
25 |
100 |
40 |
|
MCA-20-24 (iii) |
Compiler Design |
4 |
4 |
3 |
75 |
30 |
25 |
100 |
40 |
|
Elective – II |
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|
MCA-20-25 (i) |
Theory of Computation |
4 |
4 |
3 |
75 |
30 |
25 |
100 |
40 |
|
MCA-20-25 (ii) |
Design and Analysis of Algorithms |
4 |
4 |
3 |
75 |
30 |
25 |
100 |
40 |
|
MCA-20-25 (iii) |
Security in Computing |
4 |
4 |
3 |
75 |
30 |
25 |
100 |
40 |
|
Summer Training/Internship (Industry Based) |
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|
MCA-20-ST |
Summer Training/Internship |
8 |
– |
Viva Voce |
150 |
60 |
50 |
200 |
80 |
|
Total |
8 |
– |
150 |
60 |
50 |
200 |
80 |
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|
Note:Summer Training/Internship will be held immediately after 2nd Semester Examination and will be having a minimum duration of 45 days and maximum duration of 60 days. Viva-Voce will be held during 3rd Semester. |
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|
Third Semester |
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|
MCA-20-31 |
Computer Architecture and Parallel Processing |
4 |
4 |
3 |
75 |
30 |
25 |
100 |
40 |
|
MCA-20-32 |
Data Mining and Integration using R |
4 |
4 |
3 |
75 |
30 |
25 |
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40 |
|
MCA-20-33 |
Artificial Intelligence |
4 |
4 |
3 |
75 |
30 |
25 |
100 |
40 |
|
MCA-20-34 |
Elective-III |
4 |
4 |
3 |
75 |
30 |
25 |
100 |
40 |
|
MCA-20-35 |
Elective-IV |
4 |
4 |
3 |
75 |
30 |
25 |
100 |
40 |
|
MCA-20-36 |
S/W Lab – V Based on Mca-20-32 |
2.5 |
5 |
3 |
100 |
40 |
– |
100 |
40 |
|
MCA-20-37 |
S/W Lab – VI Based on Mca-20-35 |
2.5 |
5 |
3 |
100 |
40 |
– |
100 |
40 |
|
OE-20-38 |
Open Elective Based on MOOCs ( The selected course should not be directly related with Computer Science ) Or As Per University Guidelines |
2 |
2 |
3 |
35 |
14 |
15 |
50 |
20 |
|
Total |
27 |
32 |
610 |
244 |
140 |
750 |
300 |
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|
Elective – III |
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|
MCA-20-34 (i) |
Cloud Computing and IoT |
4 |
4 |
3 |
75 |
30 |
25 |
100 |
40 |
|
MCA-20-34 (ii) |
Cyber Security |
4 |
4 |
3 |
75 |
30 |
25 |
100 |
40 |
|
MCA-20-34 (iii) |
Digital Marketing |
4 |
4 |
3 |
75 |
30 |
25 |
100 |
40 |
|
Elective – IV |
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|
MCA-20-35 (i) |
Advances in Java |
4 |
4 |
3 |
75 |
30 |
25 |
100 |
40 |
|
MCA-20-35 (ii) |
Advanced Web Technologies |
4 |
4 |
3 |
75 |
30 |
25 |
100 |
40 |
|
MCA-20-35 (iii) |
Programming with Kotlin |
4 |
4 |
3 |
75 |
30 |
25 |
100 |
40 |
|
Fourth Semester |
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|
MCA-20-41 |
Big Data and Pattern Recognition |
4 |
4 |
3 |
75 |
30 |
25 |
100 |
40 |
|
MCA-20-42 |
Computer Graphics and Animation |
4 |
4 |
3 |
75 |
30 |
25 |
100 |
40 |
|
MCA-20-43 |
Mobile Application Development |
4 |
4 |
3 |
75 |
30 |
25 |
100 |
40 |
|
MCA-20-44 |
Elective-V |
4 |
4 |
3 |
75 |
30 |
25 |
100 |
40 |
|
MCA-20-45 |
Elective-VI |
4 |
4 |
3 |
75 |
30 |
25 |
100 |
40 |
|
MCA-20-46 |
S/W Lab – VII Based on MCA-20-41 and MCA-20-42 |
2.5 |
5 |
3 |
100 |
40 |
– |
100 |
40 |
|
MCA-20-47 |
Project Based on MCA-20-43 |
2.5 |
5 |
3 |
75 |
30 |
25 |
100 |
40 |
|
Total |
25 |
30 |
550 |
220 |
150 |
700 |
280 |
||
|
Grand Total |
112 |
124 |
2495 |
998 |
605 |
3100 |
1240 |
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|
Elective – V |
|||||||||
|
MCA-20-44 (i) |
Soft Computing |
4 |
4 |
3 |
75 |
30 |
25 |
100 |
40 |
|
MCA-20-44 (ii) |
Machine Learning using Python |
4 |
4 |
3 |
75 |
30 |
25 |
100 |
40 |
|
MCA-20-44(iii) |
Digital Image Processing |
4 |
4 |
3 |
75 |
30 |
25 |
100 |
40 |
|
Elective – VI |
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|
MCA-20-45(i) |
Optimization Techniques |
4 |
4 |
3 |
75 |
30 |
25 |
100 |
40 |
|
MCA-20-45(ii) |
Information Systems |
4 |
4 |
3 |
75 |
30 |
25 |
100 |
40 |
|
MCA-20-45(iii) |
Blockchain Architecture |
4 |
4 |
3 |
75 |
30 |
25 |
100 |
40 |
Note 1: Every student has to earn 2 credits by selecting an open elective/MOOC course during second and third semester.
Note 2: The credits for the first year will be 52(25+27) and for the second year will be 52(27+25). In addition to this there shall be 8 credits for summer training/internship. Total credits of the course will be 52+52+8 = 112.
Note 3:For the purpose of computation of work-load the following mechanism may be adopted:
- 1 Credit = 1 Theory period of one hour duration
- 1 Credit = 1 Practical period of two hour duration
Note 4: Internal assessment in each theory paper will be awarded by the concerned teacher on the basis of marks obtained in class test(s) and/or evaluation of attendance/assignments/seminars/quizzes/etc.
Note 5: Size of groups for all practicals should not be more than thirty students.
M.Sc I, II, III and IV Semester Syllabus M.Sc Old Syllabus