• computer-engineering

Computer Engineering

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Educational
Objectives

Computer Engineering is one of the key programs that serve nearly every domain of our society.
Due to the increasing demand of digitization in recent years, many research and development have taken place that has lead to growing demand of skilled computer engineers.
Marwadi University—the Best Computer Engineering College in Rajkot understood this demand of corporate. Which lead to make these objectives for CSE

  • To arrange a dynamic pool of professionals who laid the strong foundation for innovative learning in Computer Engineering Department.
  • To make students capable of tackling with day to day problems.
  • To develop skilled computer engineering with innovative attitude
  • To ensure that every student gets individual and adequate opportunity to learn and grow.
  • To provide well-equipped lab and highly qualified faculty for the betterment of student.
  • To provide hand-on sessions to ensure learning in right direction and building up confidence.

In order to fulfill these objectives MARWADI UNIVERSITY – the Best Computer Engineering College, Rajkot has well-equipped labs with state-of-the-art infrastructure, digital workstations with latest configurations and required software. Structures lab, C Programming lab, internet Lab, Computer Networking Lab, Project Lab are some of the key places that impart practical knowledge and technical skill in the hands of the students.

Scope of
Employment

Ranging from small offices to the global corporates, computer engineers mark an important placement in every establishment. There is a huge requirement of computer professional in today’s era. The computer sector is the highly payable sector these days. At MARWADI UNIVERSITY-the Computer Engineering college there are many in campus job opportunities provided to the students to start their career before they complete their studies.

Student
Outcomes

In MARWADI UNIVERSITY-Computer Engineering College Rajkot, the infrastructure and workstation are designed in such a way that the students Marwadi University come out with these qualities:

  • Ability to tackle with the day to day digital needs of life.
  • Ability to apply the knowledge of mathematics and computing.
  • Ability to analyze the problem domain, identify and devise appropriate solutions.
  • Ability to analyze data, apply technical tools and comes to the required results.
  • Ability to lay strong foundation of innovative learning and creative ideas

Computer
Labs

  • Oracle Lab
  • CISCO Lab
  • IBM Lab
  • Research & Development Lab
  • Basic Computing Lab
  • Advance
  • Computing Lab
  • Networking Lab
  • Data Processing Lab
  • Object Oriented Programming Lab
  • High Performance Computing Lab
  • Software Engineering Lab
  • Project Lab
computer lab
engineering lab
it lab
cse lab

Eligibility
Criteria

12th in Science with minimum 45%
Appeared in GUJCET and registered under ACPC

Students
Achievements

Apply Now

Engineering Courses

cs
Computer
ece
EC
auto
Automobile
mechanical
Mechanical
chemical
Chemical
it
IT
electrical
Electrical
civil
Civil
ict
ICT

Graduate Programs

Activities

Teaching Scheme

Semester I
Subject CodeSubject NameCategoryTeaching Scheme (Hours)CreditsTheory MarksTutorial/ Practical MarksTotal Marks
TheoryTutorialPracticalESE(E)IACSEViva (V)Term work (TW)
01MA1101Differential and Integral CalculusBS-UC42055030202525150
01ME0101Elements of Mechanical EngineeringES-UC30245030202525150
01EC0101Basics of Electronics EngineeringES-UC30245030202525150
01SL0102 / 01SL0103Reading and Writing for Technology /Speaking and Presentation SkillsGN-UE2002030202525100
01EE0101Elements of Electrical EngineeringES-UC30245030202525150
01CR0102Value EducationGN-UC200200205030100
01CE0102Computer WorkshopES-UC0021000252550
01PE0101Physical Education/Sports/YogaNCC0020000000
Total1721022200150120200180850

*Computer Workshop is offered to Computer and IT Branch only

Semester II
Subject CodeSubject NameCategoryTeaching Scheme (Hours)CreditsTheory MarksTutorial/ Practical MarksTotal Marks
TheoryTutorialPracticalESE(E)IACSEViva (V)Term work (TW)
01MA1151Matrix Algebra and Vector CalculusBS-UC42055030202525150
01CE0101Computer ProgrammingES-UC30245030202525150
01ME0103Engineering DrawingsES-UC20445030202525150
01GS0101/
01GS0102
Physics/ChemistryES-UC30245030202525150
01EN0101Basics of Environmental StudiesES-UC300350302000100
01EC0102Digital ElectronicsES-UC30245030202525150
Total1821024300180120125125850
Semester III
Subject CodeSubject NameCategoryTeaching Scheme (Hours)CreditsTheory MarksTutorial/ Practical MarksTotal Marks
TheoryTutorialPracticalESE(E)Mid Sem (M)Internal(I)Viva (V)Term work (TW)
01MA0231Discrete Mathematics and Graph TheoryBS-UC42055030202525150
01CE0301Data StructurePC40255030202525150
01CE1302Database Management SystemPC30245030202525150
01IT0301Data Communication and NetworkingPC30245030202525150
01CE1303Object Oriented Design and ProgrammingPC30245030202525150
01CR0301Professional EthicsGN-UC100100205030100
01CE0304Design Thinking and Problem Solving SkillsEE0021000252550
Total1821024250 150120200180900
Semester IV
Subject CodeSubject NameTypeTeaching Scheme (Hours)CreditsTheory MarksTutorial/ Practical MarksTotal Marks
TheoryTutorialPracticalESE(E)Mid Sem (M)Internal(I)Viva (V)Term work (TW)
01CE0401Operating SystemPC40255030202525150
01CE0402Computer Organization and ArchitecturePC32045030202525150
01IT0401Computer NetworkPC40255030202525150
01MA1281Statistical and Numerical MethodsIE32045030202525150
01CE0403Object Oriented Programming with JavaPC40255030202525150
01CE0405Human Centric Design ApproachEE0021000252550
Total184824250150100150150800
Semester V
Subject CodeSubject NameCategoryTeaching Scheme (Hours)CreditsTheory MarksTutorial/ Practical MarksTotal Marks
TheoryTutorialPracticalESE(E)Mid Sem (M)Internal(I)Viva (V)Term work (TW)
01CE0501Microprocessor Fundamentals & ProgrammingPC30245030202525150
01CE0502Advanced Java ProgrammingPC40255030202525150
01CE0503Design and Analysis of AlgorithmPC40255030202525150
01CE0504Theory of Automata and Formal LanguagesPC300350302000100
01CE05XX/
01IT05XX
Department Elective – 1PEC40255030202525150
01CE0508Reverse EngineeringEE0021000252550
01IT0502SeminarPC0021000252550
Total1801224250150100150150800

Department Elective – 1
1) 01IT0503 – Advanced Computer Network
2) 01CE0506 – Distributed Operating Systems
3) 01CE0507 – Image Processing

Semester VI
Subject CodeSubject NameTypeTeaching Scheme (Hours)CreditsTheory MarksTutorial/ Practical MarksTotal Marks
TheoryTutorialPracticalESE(E)Mid Sem (M)Internal(I)Viva (V)Term work (TW)
01IT0601Software EngineeringPC30245030202525150
01CE0601Compiler DesignPC30245030202525150
01CE0602.NET TechnologiesPC40255030202525150
01IT0602Web TechnologyPC30245030202525150
01CE06XXDepartment Elective – 2PEC40255030202525150
01CE0606Design Engineering and Project ManagementEE0021000252550
01CR0501Business BenchmarkUC100100205030100
Total1801224200120120200180900

Department Elective – 2
1) 01CE0603– Computer Security
2) 01CE0604 – Cyber Security
3) 01CE0605 – Network Security

Semester VII
Subject CodeSubject NameTypeTeaching Scheme (Hours)CreditsTheory MarksTutorial/ Practical MarksTotal Marks
TheoryTutorialPracticalESE(E)Mid Sem (M)Internal(I)Viva (V)Term work (TW)
01IT0701Advanced Web TechnologiesPC30245030202525150
01CE0701Mobile ComputingPC30245030202525150
01CE0702Artificial IntelligencePC40255030202525150
01CE07XXDepartment Elective – 3PEC40255030202525150
01CE07XXDepartment Elective – 4PEC40255030202525150
01IT0703Major Project – 1PC00210005050100
Total1801224250150100175175850
Department Elective – 3
1) 01CE0703 – iOS Programming
2) 01CE0704 – Android Programming
3) 01CE0705 – Programming with Python
4) 01CE0706 – Advanced .NET TechnologiesDepartment Elective – 4
1) 01CE0707 – Data Mining and Information Retrieval
2) 01CE0708 – Software Architecture
3) 01CE0709 – Computational Intelligence
Semester VIII
Subject CodeSubject NameTypeTeaching Scheme (Hours)CreditsTheory MarksTutorial/ Practical MarksTotal Marks
TheoryTutorialPracticalESE(E)Mid Sem (M)Internal(I)Viva (V)Term work (TW)
01CE08XXDepartment Elective – 5PEC40255030202525150
01CE08XXDepartment Elective – 6PEC40255030202525150
01IT0801Major Project – 2PC00189000200200400
Total8022191006040250250700
Department Elective – 5
1) 01CE0801 – Natural Language Processing
2) 01CE0802 – Big Data and Analytics
3) 01CE0803 – Cloud ComputingDepartment Elective – 6
1) 01CE0804 – Machine Learning
2) 01CE0805 – Business Intelligence
3) 01CE0806 – Internet of Things