COMPUTER SCIENCE & ENGINEERING

Department Profile

The Computer Science and Engineering program combines a rigorous education in computer science with added emphasis on the physical and architectural underpinnings of modern computer system design. The department has a mix of both experienced and young faculty. The CSE department has aesthetically designed with advanced computing laboratories. The Computer Science and Engineering undergraduate program educational objectives includes the following:

Graduates shall be strengthened with fundamental concepts of Computer Science & Engineering along with advanced knowledge on emerging technologies and devise solutions for real time & social issues.

Graduates shall be employed in software industries, pursue higher studies, entrepreneurs and research ability to compete globally.

Graduates shall be technically sound, socially acceptable and ethically adept computer science professionals with global competence.

Graduates shall be able to lead teams comprising good communication, Global knowledge of current and future trends with high patterns of discipline.

The Department of Computer science & Engineering is endowed with state-of-the-art laboratories, seminar halls and classrooms towards fulfilling these objectives.

Career Opportunities

Graduates with degrees in computer science & engineering might find themselves in a variety of environments - academia, research, industry, government, and private organizations. On a daily basis, computer professionals are called on to analyze challenges, formulate and test solutions, use advanced communications or multimedia equipment, or work in teams for product development. The opportunities are enormous. The graduates can opt for further studies in India by qualifying GATE (M.TECH), CAT/XAT(MBA) and IELTS(M.S), GMAT (MBA) for abroad studies. SVEC provides in and off campus job opportunities to the students to start their career before they complete their studies.

Department Labs

Computer programming Lab

Database Management systems Lab

Object Oriented programming Using Java Lab

Information Technology Lab

Computer networks and Network security Lab

Operating Systems Lab

Object Oriented & Analysis Design Lab

Software testing Lab

Data ware housing & Mining Lab

Web & Internet technology Lab

Mobile application development Lab

Data structures Lab

Project Lab

Vision

To become a center of excellence that grooms globally competent and ethical engineers with the talent for higher learning and research and the capability to think critically of innovative solutions for diverse social needs.

Mission

To impart quality technical education with strong foundations using superior academic standards and well-equipped infrastructure.

To provide excellent pedagogies through qualified and highly skilled faculty who are trained on a regular basis.

To establish research labs and a center of excellence that will nurture the technical skills by training them with state of art technology required for the industry.

To inculcate professional and ethical values in the students along with leadership qualities so that they are well equipped to handle the dynamic and diverse challenges they will face as engineers.

Program Educational Objectives

PEO 1. To exhibit strong fundamental concepts of Computer Science & Engineering along with advanced knowledge on emerging technologies so that they can devise solutions for real time & social issues.

PEO 2. To be employed, to pursue higher studies, to become entrepreneurs and also to have an excellent aptitude for research.

PEO 3. To be technically sound, socially acceptable and ethical professionals with global competence.

PEO 4. To be young leaders with the capability to lead teams with good communication skills and excellence in social awareness.

Program Specific Outcome

PSO 1. An ability to get an employment in Computer Science and Engineering field and related software industries.

PSO 2. An ability to participate in competitive examinations and enable them to pursue higher education.

Program Outcome

ENGINEERING KNOWLEDGE: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.

PROBLEM ANLYSIS: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.

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.

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.

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.

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.

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.

ETHICS: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

INDIVIDUAL AND TEAM WORK: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

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.

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.

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.

S.NO NAME OF THE FACULTY QUALIFICATION DESIGNATION
1DR.S.KALAIMAGALPh.DPROFESSOR & HOD
2DR.M.ABHILASH KUMAR REDDYPh.DPROFESSOR
3DR.M.SIRISH KUMARPh.DPROFESSOR
4DR.T.NEDUNCHEZHIANPh.DPROFESSOR
5DR.K.SWAROOPAPh.DPROFESSOR
6G.T.PRASANNA KUMARIM.Tech.,(Ph.D)ASSOC.PROFESSOR
7D.SHOBA RANIM.Tech.,(Ph.D)ASSOC.PROFESSOR
8M.VIJAYA SANTHIM.Tech.,(Ph.D)ASSOC.PROFESSOR
9S.KAVITHAM.Tech.,(Ph.D)ASSOC.PROFESSOR
10A.SARITHAM.Tech.,(Ph.D)ASSOC.PROFESSOR
11JASMINE SABEENAM.Tech.,(Ph.D)ASSOC.PROFESSOR
12J.SANKARA BABUM.TechASST.PROFESSOR
13R.RAJA KUMARM.TechASST.PROFESSOR
14P.LAKSHMIM.TechASST.PROFESSOR
15R.ROOPAM.TechASST.PROFESSOR
16G.SUNIL KUMARM.TechASST.PROFESSOR
17K.ALLURAIAHM.TechASST.PROFESSOR
18S.RESHMAM.TechASST.PROFESSOR
19T.SATYENDRA KUMARM.TechASST.PROFESSOR
20U.RAKESHM.TechASST.PROFESSOR
21B.RAJANIM.TechASST.PROFESSOR
22K.PADMAJAM.TechASST.PROFESSOR
23P.HARI PRIYAM.TechASST.PROFESSOR
24T.SWETHAM.TechASST.PROFESSOR
25R.POORNIMAM.TechASST.PROFESSOR
26M.THULASIM.TechASST.PROFESSOR
27T.DIVYA VANIM.TechASST.PROFESSOR
28G.SAILAJAM.TechASST.PROFESSOR
29K.RUPAM.TechASST.PROFESSOR
30G.SUNIL KUMARM.TechASST.PROFESSOR
31D.YASO OMKARIM.TechASST.PROFESSOR
32K.SESHAGIRIM.TechASST.PROFESSOR
33P.UMADEVIM.TechASST.PROFESSOR
34M.VISWANADHA REDDYM.TechASST.PROFESSOR
35K.PAVAN KUMARM.TechASST.PROFESSOR
36N.HEMALATHAM.TechASST.PROFESSOR
37J.OMKAR REDDYM.TechASST.PROFESSOR
38G.VENKATESHM.TechASST.PROFESSOR
39S.REVANTH BABUM.TechASST.PROFESSOR
40K.PRATHIMAM.TechASST.PROFESSOR
41A.MOUNIKAM.TechASST.PROFESSOR
42S.LATHA RANIM.TechASST.PROFESSOR
43N.KADHAR VALLIM.TechASST.PROFESSOR
44K.SAINICHAL REDDYM.TechASST.PROFESSOR
45K.CHANDANAM.TechASST.PROFESSOR
46B.VIDYAM.TechASST.PROFESSOR
47D.GEERVANIM.TechASST.PROFESSOR
48G.PRADEEPM.TechASST.PROFESSOR
49K.SIVA PAVANIM.TechASST.PROFESSOR

Ms.C.Hymavathi (159E1D0502) form M.Tech (Computer Science and Engineering), Received “ Pratibha Award “ form Govt of Andhra Pradesh for her outstanding academic performance in Academic Year 2017-18.

Ms. Charishma (119E1A0506) from B.Tech (Computer Science and Engineering), Received “ Pratibha Award “ form JNTUA for her outstanding academic performance in Academic Year 2015-16.

CSE Department

SEMESTER I

I YEAR II YEAR III YEAR IV YEAR
Algebra and Calculus Mathematics III Operating Systems Management Science
Chemistry Database Management Systems Computer Networks Grid & Cloud Computing
Problem Solving & Programming Discrete Mathematics Object Oriented Analysis and Design Information Security
Basic Electrical & Electronics Engineering Principles of Programming Languages Mobile Application Development
Managerial Economics and Financial Analysis Software Testing

CBCC-II

a. Introduction to Big Data

b. Embedded Systems

c. Computer Animation

MOOCS-I*

a. Introduction to Big Data

b. R Programming

c. Introduction to Operations Management

CBCC-III

a. Software Project Management

b.Distributed Systems

c. Real Time Systems

Engineering Graphics Laboratory Database Management Systems Laboratory Object Oriented Analysis and Design & Software Testing Laboratory Grid & Cloud Computing Laboratory
Engineering Workshop Basic Electrical and Electronics Laboratory Operating Systems Laboratory Mobile Application Development Laboratory
Problem Solving & Programming Lab
Social Values & Ethics (Audit Course)

SEMESTER II

I YEAR II YEAR III YEAR IV YEAR
Basic Electrical and Electronics Engineering Probability and Statistics Compiler Design

MOOCS-II

a. Data Analytics

b. Mobile Computing

c. Innovations and IT Management

Probability and Statistics Software Engineering Data Warehousing & Mining

MOOCS-III

a. Building Large Scale Software Systems

b. Enabling Technologies for Data Science Analytics : IoT

c. Cyber Security

Applied Physics Computer Organization Design Patterns
Data Structures Microprocessors & Interfacing Design and Analysis of Algorithms
Communicative English - I Object Oriented Programming using Java Web and Internet Technologies
Formal Languages and Automata Theory

CBCC-I

a. Artificial Intelligence

b. Linux Environment System

c. System Applications & Product

d. Intellectual Property Rights

Software Testing
Computer Science and Engineering Workshop Microprocessors & Interfacing Laboratory Web and Internet Technologies Laboratory Technical Seminar
Communicative English - I Laboratory Java Programming Laboratory Data Warehousing & Mining Laboratory Project Work
Basic Electrical & Electronics Engineering Laboratory Advanced English Language Communication Skills(AELCS) Laboratory) (Audit Course)
Applied Physics Laboratory Comprehensive Online Examination-II
Advanced English Language Communication Skills(AELCS) Laboratory) (Audit Course)
Comprehensive Online Examination-I Comprehensive Online Examination-II Comprehensive Viva-Voce
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CSE Department

SEMESTER I

I YEAR II YEAR III YEAR IV YEAR
Algebra and Calculus Mathematics III Operating Systems Management Science
Chemistry Database Management Systems Computer Networks Grid & Cloud Computing
Problem Solving & Programming Discrete Mathematics Object Oriented Analysis and Design Information Security
Basic Electrical & Electronics Engineering Principles of Programming Languages Mobile Application Development
Managerial Economics and Financial Analysis Software Testing

CBCC-II

a. Introduction to Big Data

b. Embedded Systems

c. Computer Animation

MOOCS-I*

a. Introduction to Big Data

b. R Programming

c. Introduction to Operations Management

CBCC-III

a. Software Project Management

b.Distributed Systems

c. Real Time Systems

Engineering Graphics Laboratory Database Management Systems Laboratory Object Oriented Analysis and Design & Software Testing Laboratory Grid & Cloud Computing Laboratory
Engineering Workshop Basic Electrical and Electronics Laboratory Operating Systems Laboratory Mobile Application Development Laboratory
Problem Solving & Programming Lab
Social Values & Ethics (Audit Course)

SEMESTER II

I YEAR II YEAR III YEAR IV YEAR
Basic Electrical and Electronics Engineering Probability and Statistics Compiler Design

MOOCS-II

a. Data Analytics

b. Mobile Computing

c. Innovations and IT Management

Probability and Statistics Software Engineering Data Warehousing & Mining

MOOCS-III

a. Building Large Scale Software Systems

b. Enabling Technologies for Data Science Analytics : IoT

c. Cyber Security

Applied Physics Computer Organization Design Patterns
Data Structures Microprocessors & Interfacing Design and Analysis of Algorithms
Communicative English - I Object Oriented Programming using Java Web and Internet Technologies
Formal Languages and Automata Theory

CBCC-I

a. Artificial Intelligence

b. Linux Environment System

c. System Applications & Product

d. Intellectual Property Rights

Software Testing
Computer Science and Engineering Workshop Microprocessors & Interfacing Laboratory Web and Internet Technologies Laboratory Technical Seminar
Communicative English - I Laboratory Java Programming Laboratory Data Warehousing & Mining Laboratory Project Work
Basic Electrical & Electronics Engineering Laboratory Advanced English Language Communication Skills(AELCS) Laboratory) (Audit Course)
Applied Physics Laboratory Comprehensive Online Examination-II
Advanced English Language Communication Skills(AELCS) Laboratory) (Audit Course)
Comprehensive Online Examination-I Comprehensive Online Examination-II Comprehensive Viva-Voce