Computer Science Engineering


CSE Department started in the Year 1994, with an initial sanctioned intake of 30 and later got its intake increased to 60. Department is fully equipped with highly experienced staff and state of the art laboratories. Computer laboratories have all the platforms like Windows, Unix, Linux, etc., each with 20 Pentium i5 Systems. Department is planning for Library with Audio – Visual facility and Software Development Centre. Students performance at University exams is excellent with almost hundred percent result in final year.  Department helps in students placement and many have been recruited in companies, serving in india and outside. 


The department of Computer Science & Engineering nurtures young engineers with technical knowledge and to be responsible in societal life with leadership and ethical qualities for life-long learning


    - To provide young computing aspirants with best practices in teaching-learning with highly experienced faculty
    - To team up with industries and provide experience on latest tools to excel in promising technologies
    - To prepare students with required fundamentals practical exposure, social and professional morals



     1. Well Experienced teaching & non-teaching faculty 
     2. Well Equipped laboratories. 
     3. Consistent Results 
     4. Team work
     5. Conduction of faculty & Students centric events 
     6. Mentoring system for improving students-teachers academic relationship


     1. Student’s intake with poor ranking
     2. Poor placement activities
     3. No accreditation from NBA
     4. Limited alumni interaction


     1. Encourages students & faculty for attending workshops/seminars/conferences
     2. Suggestions from alumni to improve department perception
     3. Improve Industry-Institute Interaction for better placements
     4. Started working towards getting NAAC 
     5. Engage alumni to bridge the gap between industry and curriculum


     1. Lack of student’s caliber
     2. Gap between Industry demand and curriculum


  • Sumangala Itagi, M.Tech
    Assistant Professor & HOD
    Experience-25 Years
  • Renuka Devi, M.Tech
    Assistant Professor
    Experience-25 Years
  • Geetha S.B., M.Tech
    Assistant Professor
    Experience-20 Years
  • Vijayakumari G., M.Tech,(Ph.D.)
    Assistant Professor
    Experience-16 Years
  • Suresh Patel, M.Tech
    Assistant Professor
    Experience-15 Years
  • Sujatha J., M.Tech
    Assistant Professor
    Experience-15 Years
  • Geetha N., M.Tech
    Assistant Professor
    Experience-15 Years
  • Veeresh B., M.Tech
    Assistant Professor
    Experience-11 Years
  • Jyothi N., M.Tech
    Assistant Professor
    Experience-8 Years
  • R.K. Ashwin, M.Tech, MIT
    Assistant Professor
    Experience-3 Years


Department has 6 well equipped laboratories with more than 100 computing systems with varying configurations and all are connected through LAN. The department also has the WiFi facility. More than 6 legal application softwares and many open licence application softwares are present. One of the laboratories is used as "E-Shikshana Kendra" for online live video lecturing. All the laboratories are fitted with CCTVs.

Laboratory details 

Name of the Lab     Area in Sq.m     Major Equipments
Lab 1  59.08

PCs & Equipments : 19 (HP core i5 and i3), Canon LBP 2900B laser printer, 100mbps switch, UPS, split AC available
OS, NET BEANS for Java.
Canon LBP 2900B laser printer, 100mbps switch, UPS available, 2 split AC available.

Software installed: Turbo C++, Python IDE, VMware to run FEDORA 

Lab 2   59.08

PCs & Equipments : 20 (HP core i3), Canon LBP 2900b Laser printer, 2 split ACs with 100mps and 1gbps switch, UPS available.

Software installed: MySQL, Perl,Php, VMware

Lab 3  59.08 PCs & Equipments :14(HP core i3 with LED monitor) equipped with projector,100Mps switch, UPS available.

Software installed:  MS visual studio, NS2 simulator,Turbo C .

  Lab 4  59.08 PCs & Equipments :  15(Lenovo Dual Coire), 2 Window ACs, 100Mbps switch, HP Scanner
Software installed:  NS2 simulator, Xilinx & Turbo C.
  Lab 5 59.08 PCs & Equipments : 20(Lenovo dual core), 100mbps switch
Software installed:  Xilinx , Multisim,Turbo C 
 Lab 6
Computer Center/E-Sikshana Kendra
88.00 PCs & Equipments : 14 (Lenovo dual core), Benq Full HD Projector, Logitech HD Conference camera, Dual Channel wireless microphone and speakers, 1 window AC, 100Mbps switch.
Software installed:  Turbo C, C++, A-VIEW.


     • 2010 Scheme & Syllabus

     • 2015 Scheme & Syllabus

     • 2017 Scheme & Syllabus

     • 2018 Scheme & Syllabus


PSOs & COs

Programme Specific Outcomes

PSO1: Ability to apply concepts of mathematical models in solving real world problems appropriate to computer science field. 
PSO2: Ability to use concepts of computer organization and architecture, algorithms, data structures, software design process and broad range of programming language.
Course Outcomes:
Course Name Engineering Mathematics – III 
Course Code 17MAT31
CO1 Know the use of periodic signals and Fourier series to analyze circuits and system communications
CO2 Explain the general linear system theory for continuous-time signals and digital signal processing using the Fourier Transform and z- transform.
CO3 Employ appropriate numerical methods to solve algebraic and transcendental equations.
CO4 Apply Green's Theorem, Divergence Theorem and Stokes' theorem in various applications in the field of electro-magnetic and gravitational fields and fluid flow problems.
CO5 Determine the extremals of functionals and solve the simple problems of the calculus of variations
Course Name Analysis & Digital Electronics
Course Code 17CS32
CO1 Explain the operation of JFETs and MOSFETs , Operational Amplifier circuits and their application
CO2 Explain Combinational Logic, Simplification Techniques using Karnaugh Maps, Quine McClusky technique.
CO3 Demonstrate Operation of Decoders, Encoders, Multiplexers, Adders and Subtractors, working of Latches, Flip-Flops, Designing Registers, Counters, A/D and D/A Converters
CO4 Design of Counters, Registers and A/D & D/A converters
Course Name Data Structures & Applications
Course Code 17CS33
CO1 Explain different types of data structures, operations and algorithms
CO2 Apply searching and sorting operations on files
CO3 Make use of stack, Queue, Lists, Trees and Graphs in problem solving. 
CO4 Develop all data structures in a high-level language for problem solving.
Course Name Computer Organization
Course Code 17CS34
CO1 Explain the basic organization of a computer system.
CO2 Demonstrate functioning of different sub systems, such as processor, Input/output, and memory.
CO3 Illustrate hardwired control and micro programmed control. pipelining, embedded and other computing
CO4 Build simple arithmetic and logical units.
Course Name UNIX and Shell Programming
Course Code 17CS35
CO1 Explain UNIX system and use different commands.
CO2 Compile Shell scripts for certain functions on different subsystems. 
CO3 Demonstrate use of editors and Perl script writing
Course Name Discrete Mathematics Structures
Course Code 17CS36
CO1 Make use of propositional and predicate logic in knowledge representation and truth verification.
CO2 Demonstrate the application of discrete structures in different fields of computer science
CO3 Solve problems using recurrence relations and generating functions
CO4 Apply different mathematical proofs, techniques in proving theorems
CO5 Compare graphs, trees and their applications
Course Name Analog & Digital Electroncis Lab
Course Code 17CSL37
CO1 Demonstrate various Electronic Devices like Cathode ray Oscilloscope, Signal generators, Digital Trainer Kit, Multimeters and components like Resistors, Capacitors, Op amp and Integrated Circuit.
CO2 Design and demonstrate various combinational logic circuits
CO3 Design and demonstrate various types of counters and Registers using Flip-flops
CO4 Make use of simulation package to design circuits
CO5 Infer the working and implementation of ALU
Course Code 17CSL38
CO1 Analyze and Compare various linear and non-linear data structures
CO2 Demonstrate the working nature of different types of data structures and their applications
CO3 Develop, analyze and evaluate the searching and sorting algorithms
CO4 Choose the appropriate data structure for solving real world problems

Course Outcome for other Semesters : Click here

Feedback Analysis