Tecnia Institute of Advanced Studies

A Unit of Health & Education Society (Regd.)

  • Recognized Under Sec. 2(f) of UGC Act 1956,
  • Approved by AICTE, Ministry of Education, Govt. of India,
  • Affiliated to Guru Gobind Singh Indraprastha University.

Master of Computer Applications

MCA Course / Lab Plans Odd AS. 2023-24
CodeCourseTypeLT/PCreditsFirst Shift Second Shift
FacultyDiv AFacultyDiv BFaculty Div AFacultyDiv B
First Semester
MCA 101 Discrete Structures Core 314
MCA 103 Computer NetworksCore 314
MCA 105 Operating Systems with LinuxCore 314
MCA 107 Database Managem ent SystemsCore 314
MCA 109 Object Oriented Programmi ng and JAVACore314
MCA 161 Computer Networks Lab.Pract ical & Proj ect021
MCA 163 Operating Systems with Linux Lab.Practi cal & Proje ct021
MCA 165 Database Managem ent Systems Lab.Practi cal & Proje ct 021
MCA 167 Object Oriented Programmi ng and JAVA Lab.Practi cal & Proje ct 021
MCA 169 Minor Project – IPracti cal & Proje ct 063
MCA 171 Professional Proficiency – I (It is suggested to have Personality Developme nt and Communic ation Skills Course)NUES*021
Total23325
Note :
* Non-University Examination System (NUES)
Third Semester
MCA 201 Design and Analysis of AlgorithmsCore314
MCA 203 Artificial Intelligence and Machine LearningCore314
MCA 205 Statistics and Data AnalyticsCore Elective- II314
MCA 207 Enterprise Computing with JAVACore Elective- II
MCA 209 Natural Language ProcessingCore Elective- II
MCA 211 Computer GraphicsCore Elective- II
MCA 213 Wireless Sensor NetworksCore Elective- II
MCA 215 Software Project ManagementCore Elective- II
MCA 217 Advanced Computer ArchitectureCore Elective- II
MCA 219 Distributed SystemsCore Elective- II
MCA 221 Applied CryptographyCore Elective- II
MCA 223 Cloud ComputingCore Elective- II
MCA 225 e-Business SystemsCore Elective- II
MCA 227 Web Intelligence and Big DataCore Elective- II
MCA 229 Flutter and DartCore Elective- II
MCA 231 Service Oriented ArchitectureCore Elective- II
MCA 233 Multimedia TechnologiesCore Elective- II
MCA 235 Internet of ThingsCore Elective- II
MCA 237 Soft ComputingCore Elective- II
MCA 239 Software Quality ManagementCore Elective- II
MCA 241 Digital image ProcessingCore Elective- II
MCA 243 Compiler DesignCore Elective- II
MCA 245 Parallel ComputingCore Elective- II
MCA 247 Numerical and Scientific ComputingCore Elective- II
MCA 249 Research MethodologyOpen Elective – II314
MCA 251 Operational ResearchOpen Elective – II
MCA 253 Cyber Security and Cyber LawsOpen Elective – II
MCA 255 e-Content DevelopmentOpen Elective – II
MCA 261 Design and Analysis of Algorithms Lab.Practical & Project021
MCA 263 Artificial Intelligence and Machine Learning Lab.Practical & Project021
MCA 265 Lab. based on Core Elective- IIPractical & Project021
MCA 267 Lab. based on Core Elective- IIIPractical & Project021
MCA 269 Minor Project- IIIPractical & Project063
MCA 271 Entrepreneurs hip Mindset (N UES)NUES*303
MCA 273 Professional Proficiency – III (It is suggested to have IPR, Human Values and Professional Ethics Course)NUES*021
Note :
*Non-University Examination System (NUES)
MCA Course / Lab Plans Even AS. 2023-24
CodeCourseTypeLT/PCreditsFirst Shift Second Shift
FacultyDiv AFacultyDiv BFaculty Div AFacultyDiv B
Second Semester
MCA 102 Data and File StructuresCore314
MCA 104 Object Oriented Software EngineeringCore 314
MCA 106 Python Programmin gCore 314
MCA 108 Advanced Database Management SystemsCore Elective -I314
MCA 110 Data Warehousing and Data MiningCore Elective -I
MCA 122 Mobile Applications Design and DevelopmentCore Elective -I
MCA 114 Full Stack DevelopmentCore Elective -I
MCA 116 Web TechnologiesCore Elective -I
MCA 118 Theory of ComputationsCore Elective -I
MCA 120 Software TestingCore Elective -I
MCA 122 Microprocess orsCore Elective -I
MCA 124 Embedded SystemCore Elective -I
MCA 126 Information SecurityCore Elective -I
MCA 128 Digital MarketingOpen Elective -I314
MCA 130 Management information SystemOpen Elective -I
MCA 132 Management Principles and Organizational BehaviorOpen Elective -I
MCA 134 Finance and AccountingOpen Elective -I
MCA 162 Data and File Structures Lab.Practica l & Project021
MCA 164 Object Oriented Software Engineering LabPractica l & Project021
MCA 166 Python Programming Lab.Practica l & Project021
MCA 168 Lab. based on Core Elective-IPractica l & Project021
MCA 170 Minor Project-IIPractica l & Project063
MCA 172 Environment Science (NUES)NUES*303
MCA 174 Professional Proficiency – II (It is suggested to have Technical Paper Writing Course)NUES*021
Note :
Non-University Examination System (NUES)
Fourth Semester
MCA 202 Dissertation (Major Project)20
MCA 272 One MOOC Course (from SWAYAM Platform) (NUES)2
MCA 274 Professional Proficiency – lV (Seminar and Progress Report)4
Note :
* Non-University Examination System (NUES) Important Notes:
Institutions shall also be required to facilitate the non-computer science students for successfully completing the Bridge Courses from MOOC platform. If required, Institution may also conduct make-up classes or tutorial sessions for such students.
In order to conduct classes for Electives (Core or Open), there must be a minimum of 20 students in that Elective. However, if the numbers of students are less than 20 in any of the Electives (Core or Open), the elective course may still be offered but no classes will be held and the students shall be required to successfully complete that course from the MOOC using SAWAYAM or other similar platforms. In that case, students shall be required to obtain prior approval of the Programme Co-ordination Committee for undertaking any course(s) from the MOOC platforms. Requirement of attendance, to such students, shall be waived off based upon the document of having completed the course from MOOC platforms. MCA- 272 shall also be completed from the MOOC using SAWAYAM or other similar platforms, as detailed above. However, students shall be required to appear for the examinations conducted by the Institution as teachers' continuous evaluation to earn these credits. The MOOC course should have at least 30 hours of teaching. No direct credit transfer shall be allowed based upon the Certificate of having completed these electives courses from the MOOC platforms.
Detailed modalities of all the NUES Papers and MCA-202 (Dissertation) related guidelines for assessment and evaluation shall be followed as approved by the Programme Co-ordination Committee. The dissertation should be oriented towards socially relevant projects.
The total number of the credits of the MCA programme= 116.
Each student shall be required to appear for examinations in all courses. However, for the award of the degree a student shall be required to earn the minimum of 104 credits.
Evaluation of Bridge Courses shall be based in line with NUES mechanism. Institutions shall send these marks to the University as NUES Course, based upon the final MOOC Certificate. Detailed guidelines shall be approved by the Programme Co-ordination Committee.
The programme of study shall be governed by Ordinance 11 of the University.
Passing Marks shall be 40 out of 100 marks for every paper.
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