Computer Science and Engineering

Computer Engineering is one of the most promising branch that deals with design of hardware, software and communications systems The primary objective of the Computer Engineering program is to prepare graduates to pursue careers related to Software Development, Testing, Network Administration, Database Administrator. It emphasizes on latest technology skills required for entry level professionals in computer industry, including systems analysis and design. The students are also trained on various application of IOT, Embedded System, use of open source software, developing Apps, Developing Games and other application of Data Science, Ethical hacking, BigData etc.
Opportunities:
Computer Engineers have career opportunities with reputed MNCs in the area of Software Development, Project management , Network Admin, Software Testing, Human Resources, public and private sector R&D, computer programming and analysis, integration of computer systems, administration of computer systems, administration of complex networks.
DEPARTMENT VISION:
To emerge as a center to develop high quality education in the country through academic excellence and preparing the students for leadership in their fields in caring and challenging environment.
DEPARTMENT MISSION:
M1: To nurture high quality education with strong foundation of technologies in computer science and engineering through continuous development of infrastructure that enables the students to meet the challenges.
M2: To provide an environment that values and encourages knowledge acquisition and academic freedom, making this a preferred institution for knowledge seekers.
M3: In collaboration with industries, developing professionals with necessary communication skills and state-of-the-art technologies, team spirit, leadership capabilities and social responsibilities with professional ethics and human values to meet the standards.
PROGRAM EDUCATIONAL OUTCOME (PEO):
PEO1: Graduates will be in computing profession as experts in solving hardware/software engineering problems by their depth of understanding in core computing knowledge or will be pursuing research leading to higher degrees.
PEO2: Graduates will demonstrate creativity in their engineering practices including entrepreneurial and collaborative ventures with strategic thinking, planning and execution.
PEO3: Graduates will communicate effectively, recognize and incorporate societal needs and constraints in their professional endeavors, and practice their profession with regard to legal and ethical responsibilities
PROGRAM OUTCOMES
PO1. Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
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.
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.
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.
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.
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.
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.
PO8. Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
PO9. Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
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.
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.
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( PSO):
PSO1: Ability to apply mathematical methodologies to solve computation task, model real world problem using appropriate data structure and suitable algorithm in the fields of different domains .
Courses Offered:
Program Duration Specialisation
B.Tech 4 years Computer Science Engineering
Laboratories
Odd Semester | Even Semester |
UML & DP Lab | Software Engg. Lab |
DBMS Lab | C++ Lab |
Had & Big Data Lab | CN & NP Lab |
OS & LINUX Lab | Web Tech. Lab |
Python Prog. Lab | Project Lab |
STM Lab | Data Warehouse & Data Mining Lab(Weka) |
CD Lab | CRT Lab |
Mob App. Dev Lab | ADS Lab |
Data Struct. Lab | JAVA Prog. Lab |
Major Subjects
Database Base Management System, Compiler Design, Computer Networks,Object Oriented Programming through C++, Java Programming
Operating Systems, Data Warehousing & Data Mining, Web Technologies
Software Engineering, Computer Graphics, Mobile Computing, Cloud Computing, Python Prog, Hadoop and Big Data, R Programing, UML& DP
Department Goals
Short Term Goals:
To achieve 90%-100% results.
To have linkages with industry for training & placement, projects and curriculum management.
To inculcate professional behavior in students through seminars, mock interviews etc.
Improve placement opportunities for students.
To develop research oriented work culture among faculty and students.
To conduct national and international workshops, seminars and paper contests.
Develop an exclusive R & D Centre in the Department.
Long Term Goals:
To achieve 90 % on campus recruitment of students in reputed multinational companies.
To develop projects for leading software companies for the prospective placements of the students.
Expansion of educational services in association with leading National and International institutions and leading industries.
Developing the projects into real time products, so that the technology reaches the common man.
Head of the Department
Mr. R N V Vishnumurthy,
Email:hodcse.bvcr@bvcgroup.in,,
S.No | Name of the Faculty | Designation |
1 | N V VISHNU MURTHY RAVIPATI | Asst Proff |
2 | MONDRETI V R NARASIMHA RAO | Assoc Proff |
3 | NAGA NIRMALA KONGARA | Asst Proff |
4 | KANAKA TULASI PRAGADAREDY | Asst Proff |
5 | SATISH KUMAR SATTI | Asst Proff |
6 | V NAGESWARA RAO AKULA | Asst Proff |
7 | GURUGUNTI CHANDRA SEKHAR | Asst Proff |
8 | SURENDRANATH KALAGARA | Asst Proff |
9 | ANGARA SATYAM | Asst Proff |
10 | MAJJI V S SUBRAMANYAM | Asst Proff |
11 | MATCHA ANUDEEP KUMAR | Asst Proff |
12 | ATHILI VENKATARAJU | Asst Proff |
13 | DHANUMJAYA SURAMPUDI | Asst Proff |
14 | SIRISHA BALLA | Asst Proff |
15 | IMMANDHI HEMALATHA | Asst Proff |
16 | VATTAM JAYA VARSHNI DEVI | Asst Proff |
17 | SUNKARA LAKSHMI RAGA SANDHYA | Asst Proff |
18 | BHAVANI DEVIKA RANI YALLA | Asst Proff |
19 | KONALA PADMAVATHI | Asst Proff |
Academic Toppers:
S.NO | BATCH | REG.NUMBER | NAME OF THE STUDENT | PERCENTAGE |
1 | 2014-2018 | 146M1A0531 | Karuturi Kinnera | 83.12 |
2 | 2013-2017 | 136M1A0518 | GIDUTHURI DEVIKA | 80.70 |
3 | 2012-2016 | 126M1A0535 | VEGI NAGA SINDHURA DEVI | 76.55 |
4 | 2011-2015 | 116M1A0502 | BALAGA LAKSHMI | 71.83 |
5 | 2010-2014 | 106M1A0506 | BATCHU GEETANJALI | 75.34 |
6 | 2009-2013 | 096M1A0507 | BYANA VINUSHA | 78.20 |







