Computer Science and Engineering

The department of Computer Science & Engineering was established in the year 1983. It offers the 4 years (8 Semesters) B.E. course with an intake of 180 students.

The V.T.U has recognized the department as a research center for carrying out research work leading to M.Sc.(Engg) by Research and  Ph.D degrees. The department has highly qualified faculty. The department has developed a good rapport with the IT industry.

Seminars and workshops are organized regularly to help the faculty and students to update their knowledge about the latest developments.

 

The Computer Society of India (CSI) Student Branch of Malnad College of Engineering formed in December 2019. The Computer Society of India (CSI) is an active student organization which conducts a number of technical activities such as workshops, competitions, technical symposiums, guest lectures etc. for its student members.

 

 

 

 Blogspot -mcecomputers.blogspot.com

VISION

To become a prominent department of Computer Science & Engineering producing competent professionals with research and innovation skills, inculcating moral values and societal concerns.

MISSION

  • Impart world class engineering education to produce technically competent engineers.
  • Provide facilities and expertise in advanced computer technology to promote research.
  • Enhance Industry readiness and entrepreneurial abilities through innovative skills.
  • Nurture ethical values and social responsibilities

Engineering Graduates will be able to: 

  1. PO1. Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems. 
  2. PO2. Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences. 
  3. PO3. Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
  4. PO4. Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
  5. PO5. Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
  6. PO6. The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
  7. PO7. Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
  8. PO8. Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
  9. PO9. Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
  10. PO10. Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
  11. PO11. Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
  12. PO12. Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.

PROGRAM SPECIFIC OUTCOMES (PSOs)


Upon graduation, students with a degree B.E. in Computer Science & Engineering will be able to:


PSO – 1: To make the students industry ready by facilitating them with software tools in recent technologies


PSO – 2: To develop IT based solutions for problems in diverse domains

Program Educational Objectives (PEOs)

PEO 1: Graduates will be efficient software developers in diverse fields and will be  successful professionals and/or pursue higher studies.

PEO 2: Graduates will be capable to adapt to new computing technology for  professional  excellence and Research and will be lifelong learners.

PEO 3: Graduates will work productively exhibiting ethical qualities for the betterment  of  society.

PEO 4 : Graduates will possess leadership qualities, work harmoniously in a team with  effective  communication skills

Sl No Name & Designation Members
1 Dr. Ramesh B
Professor, Faculty ID:1-738289996
B.E. (CSE), M.Tech(CSE), Ph.D. (CSE)
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2 Mr.Neelakantappa B B
Associate Professor ,Training and Placement Officer(TAP) ,Faculty ID:1-482761695
B.E., M.Tech
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3 Dr. B Uma
Professor ,Dean(AA) ,Faculty ID:210704
B.E, Mtech, PhD
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4 Dr. GeethaKiran A
Professor and Head, Director IIIC, Coordinator ME-RIISE, Faculty ID:1-482761711
B.E, M.Sc(Engg) by Research, Ph.D
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5 Mr.Shashidhara H.V
Associate Professor, Faculty ID:1-482761707
B.E., M.Tech
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6 Dr. Aruna Kumar S V
Associate Professor
B.E, M.Tech, Ph.D, Post DoC (Portugal)
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7 Dr. Keerthi Kumar H M
Associate Professor
B.E, M.Tech, Ph.D
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8 Dr. Shivanna K
Associate Professor
B.E, M.Tech, Ph.D
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9 Dr. Mohana Lakshmi J
Associate Professor
B.E., M.Tech., Ph.D.
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10 Mrs.Sunitha. P
Assistant Professor , Faculty ID:1-475640507
B.E., M.Tech
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11 Mrs. Margaret R.E.
Assistant Professor,Faculty ID:1-738371608
MCA
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12 Mr. Prasanna K S
Assistant Professor ,Faculty ID:1-738371752
MCA
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13 Mr. Vinod A M
Assistant Professor,Faculty ID:1-738371760
MCA., M.Tech.
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14 Mr.Vasanth Kumar N.T.
Assistant Professor,Faculty ID:1-738421514
MCA
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15 Mr.Keerthi K S
Assistant Professor , Faculty ID:1-2193284389
B.E., M.Tech
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16 Mr.Tejonidhi M R
Assistant Professor , Faculty ID:1-3304869773
B.E., M.Tech
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17 Mrs.Ayeesha Siddiqha
Assistant Professor,Faculty ID:1-2193307279
B.E., M.Tech
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18 Mrs.Kavyasri M N
Assistant Professor,Faculty ID:1-2978389382
B.E., M.Tech(PhD)
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19 Mrs.Shobha Chandra K
Assistant Professor ,Faculty ID:1-3241842635
B.E., M.Tech
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20 Mrs.Shruthi.T.R
Assistant Professor,Faculty ID:1-3540112064
B.E., M.Tech
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21 Mr.Sumanth C M
Assistant Professor,Faculty ID:1-7504427876
B.E, M.Tech
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22 Mrs.Nithyashree R
Assistant Professor ,Faculty ID:1-7504431986
B.E, M.Tech
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23 Mrs.Harshitha S
Assistant Professor,Faculty ID:1-7504428206
B.E, M.Tech
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24 Mrs.Chandana H M
Assistant Professor
B.E ,M.Tech
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25 Mr.Madhu C K
Assistant Professor
BE, MTech
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26 Mrs.Nayana R
Assistant Professor,Faculty ID: 1-11077178836
B.E,MTech
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27 Mrs.Nivyashree R
Assistant Professor, Faculty ID:1-11077178842
BE.,MTech.,
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28 Mr.Ravi Kumar D
Assistant Professor, Faculty ID:1-11066641706
BE , MTech
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29 Ms.Meghana H M
Assistant Professor
B.E., M.Tech
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30 Mrs.Shruthi A S
Assistant Professor
B.E., M.Tech
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31 Ms.Yashaswini S
Assistant Professor
B.E., M.Tech
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32 Ms.Shruthi K R
Assistant Professor
B.E., M.Tech.
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33 M S Prapulla Kumar
Assistant Professor
B.E., M.Tech.
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Sl No Name & Designation Members
1 Mrs.H.V.Meera
Foreman / Programmer

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2 Ms.Priya Neelakanth
Instructor

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3 Mr.Chandra Shekar C.S.
Instructor

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4 Mr.Hemantha
Instructor

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5 Mr.Srinivas B S
Instructor

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6 Mrs.Manjula
Office Assistant

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7 Mr.Sirinivas M S
Helper

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8 Mrs. B.R.Nethravathi
Attender

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9 Mr.Vinay Kumar H U
Helper

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Lab Facilities

The Department of CS&E has well-established laboratories:

Computer Science Laboratory-I

 

NODES  (DELL) - INTEL I5 4570, 8 GB RAM, 500 GB HDD, 19" LED MONITORUPS - 7.5 KVA, APLAB MAKE, 2 HOURS BACKUP

 
 

CS-LAB-1
 

SERVER - IBM 3200 M3 SERVER @ 2.4 GHz, XEON PROCESSOR, 2 GB DDR, 250 GB SATA HDD, ETHERNET, DVD DRIVE, 18.5” TFT COLOUR MONITOR
 

NODES (LENOVA) - INTEL I5 4570, 8 GB RAM, 1 TB HDD, 19" LED MONITOR

 

NODES (LENOVA) - INTEL I5 4570, 8 GB RAM, 500 GB HDD, 19" LED MONITOR, DVD R/W

 

 

 

 Computer Science Laboratory-II


CS-LAB-2

 

SERVER - ZENITH INTEL P4 @ 3.60 GHz, 2 X 512 MB DDR RAM, 1 SERIAL, 1 PARALLEL PORT, 100/100 ETHERNET CARD,200 GB HDD, 16X DVD DRIVE, 17” TFT COLOR MONITOR

 

NODES (HP) - INTEL I7 8700 3.2 GHz, 8 GB RAM, 1 TB HDD, 21.5" LED MONITOR

 

NODES (HCL) - P IV @ 2.93GHz, INTEL CORE 2 DUO PROCESSOR, 2 GB DDR, 320 GB SATA HDD, ETHERNET, DVD WRITER, 18.5” TFT COLOUR MONITOR

 

NODES (HP) - INTEL I5 8500 3.0 GHz, 8 GB RAM, 1 TB HDD, 19.5" LED MONITOR

NODES (VTU) - DELL INTEL CORET, 2GB RAM,80 GB HDD

 

UPS - 7.5 KVA, POWERONE MAKE, 2 HOURS BACKUP

 

 

Hardware Laboratory

 

 

HARDWARE LAB

NODES (ZEBRONICS) - I5 8 GB RAM 500 GB HDD

HARDWARE EQUIPMENT

OSCILLOSCOPES, MICROPROCESSOR INTERFACES, DIGITAL TRAINER KITS, ETC.

 

ALS-SDA-ARM7-06  ARM7 EVALUATION BOARD & OTHER ACCESSORIES

 

Project Laboratory

 

PROJECT LAB

 

2U RACK MOUNT SERVER

128 GB RAM (4 x 32 GB), 600 GB HDD (2 x 300 GB)

Netgear NAS Box Storage

24 TB HDD (3 x 8 TB)

 

Cloud Computing Research Laboratory

The research laboratory on Cloud Computing has been established in the Department of Computer Science and Engineering for the benefit of students and faculty of our College under TEQIP-II. This Research Laboratory facilitates the researchers and students/faculty of the department and college. Cloud Computing research Laboratory will foster the introduction of new innovative technologies at our premises for the benefit of faculties, students, and institutions. The major benefits of this research laboratory are Research on Distributed and Cloud Systems, Big-data Analytics, Analysis of Sensor Network Data, Learn High-Level Programming Models, encouraging the students to write applications on data mining, Web programming, parallel searching algorithms, Parallel sorting algorithms, and Mass document searching. The department laboratories are well equipped and cater to the needs of academic programs.

 

 

Placement

 

 

YEAR

Sl.No

Company Name

No. of students placed

2019-20

1.        

Accenture

29

2.        

TCS

5

3.        

Global Logic

1

4.        

Mercedes-Benz

3

5.        

Hexaware Technologies

1

6.        

Cognizant

6

7.        

Infosys

7

8.        

SimeioSolutions

1

9.        

TATA Elxsi

1

10.    

Qspiders

5

11.    

Spurtree Technology

1

12.    

Technologics Global

1

13.    

Kodnest

1

14.    

Teksyste Global Services

1