Computer Science & Engineering

DEPARTMENT


Welcome Note by the Department - HOD.

Hello All,

Greetings of the day!

It is a great privilege for me to be part of S V College of Engineering.

I am vey much delighted to welcome all the students and parents to the Department of Computer Science and Engineering.

Computer Science and Engineering is one of the trending, sought-after course and plays a pivotal role in worlds transformation.

In Computer Science, you will study computer fundamentals, learn programming skills, various tools, technologies in practical approach and thereby you will get the expertise to apply your knowledge in providing efficient solutions for the automation of real-world problems in all the domains.

The excellent infrastructure, well experienced, qualified and diversified faculty of the department ensures quality and innovative education with high standard to achieve academic excellence, and provides platform to transform the students to be globally competent and achieve their career goals.

The Department also gives more focus towards upskilling students on emerging technologies, soft skills, analytical skills through training programs, workshops, guest lectures and interaction with industries and universities.

The Department committed to make students to follow good ethics and human-values to become a good and responsible citizen of the country.

Above all, the entire teaching fraternity of the Department of Computer Science and Engineering work towards to the holistic growth of the department and students and they aim at doing something extraordinarily in the academic arena of Computer Science and Engineering.

I congratulate all the members of the department and the students for their brilliant and remarkable efforts.

I WISH EVERYONE “BRIGHT FUTURE” AND “GREAT SUCCESS” IN YOUR LIFE.

HOD-CSE

VISION & MISSION


Vision of the Department

To be a center of excellence in the academics, technical skills, research and entrepreneurship in Computer Science and Engineering and its applications.

Mission of the Department

  • To strengthen core skills in computer science and engineering through quality education and training.
  • To establish state-of-the art facilities to promote innovation and research.
  • To foster skills up gradation in the niche skills through industry-academia collaboration.
  • To provide more opportunities, good academic ambience to become successful leaders in career.

PROGRAM EDUCATIONAL OBJECTIVES


Program Educational Objective (PEO) is what the programme is preparing graduates for in their career and professional life. Our current PEOs are as follow:

PEO 1 -Building strong foundation in mathematics, computer science and engineering fundamentals, analytical and problem solving skills required to solve real-world problems with out-of-the-box thinking ability.

PEO 2 - Inculcating lifelong learning ability in order to adapt to rapidly changing industry requirements and generating innovative engineering solutions using research and multi-disciplinary knowledge.

PEO 3 - Imparting good academic environment which inculcates excellence in professionalism, ethics, moral values and passion towards higher-education, research, innovation and entrepreneurship to become professional engineers leading to a successful career.

PROGRAM SPECIFIC OUTCOMES


Our current PSOs are as follow:

PSO 1: -Excel in the Algorithmic skills, programming skills and demonstrate the technical competency by developing efficient algorithms for complex problems.

PSO 2 - Apply the concepts of computer science and engineering to analyze, design, develop, test and maintain robust and efficient software applications in the areas of desktop / web applications, mobile application, network based applications, Internet of things, cyber security, artificial Intelligence and Machine Learning.

PSO 3 -Enhance and/or develop new technologies and tools by applying appropriate programming paradigm / techniques that includes innovation and optimization to provide solutions to existing / new problems thereby contributing to the betterment of society.

PROGRAM OUTCOMES


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

CAREER OPPORTUNITIES


In an era that is powered and driven by Internet of Technology (IOT) devices and Artificial intelligence (AI), computer science engineers are required in every nook and corner of the world from small scale industries to sophisticated workstations. From games developer to manager of Information Technology and communications services, a computer science graduate can find opportunities in the software sector, consultancies, and major corporations, where they offer digital solutions to contemporary issues.

Ranging from computer professionals to the global leading corporate leaders, 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 S V College of Engineering -Computer Engineering course there are many on campus job opportunities provided to the students to start their career before they complete their studies.

DEPARTMENT LABS


  • C-Programming & Data Structures Lab
  • IT Workshop
  • Python Programming & Data Science Lab
  • Advanced Data Structures and Algorithms Lab
  • Object Oriented Programming using JAVA Lab
  • Database Management Systems Lab
  • Operating Systems Lab
  • Software Engineering Lab
  • Artificial Intelligence Laboratory
  • Computer Networks Laboratory
  • Object Oriented Analysis Design & Testing Lab
  • Big Data Analytics Lab
  • Grid & Cloud Computing Lab
  • Mobile Application Development Lab

COURSE STRUCTURE


Subject Code Subject Name Category Teaching Scheme (Hours) Credit Theory Marks Practical Works Total Marks
Theory Tutorial Practical IM EM IM EM
20A54101 Linear Algebra and Calculus BS 3 0 0 3 40 60 100
20A51101T Chemistry BS 3 0 0 3 40 60 100
20A05201T C-Programming & Data Structures ES 3 0 0 3 40 60 100
20A02101T Basic Electrical & Electronics Engineering ES 3 0 0 3 40 60 100
20A03202 Engineering Workshop LC 0 0 3 1.5 40 60 100
20A05202 IT Workshop LC 0 0 3 1.5 40 60 100
20A51101P Chemistry Lab BS 0 0 3 1.5 40 60 100
20A05201P C-Programming & Data Structures Lab ES 0 0 3 1.5 40 60 100
20A02101P Basic Electrical & Electronics Engineering Lab ES 0 0 3 1.5 40 60 100
Subject Code Subject Name Category Teaching Scheme (Hours) Credit Theory Marks Practical Works Total Marks
Theory Tutorial Practical IM EM IM EM
20A54202 Probability & Statistics BS 3 0 0 3 40 60 100
20A56201T Applied Physics BS 3 0 0 3 40 60 100
20A52101T Communicative English HS 3 0 0 3 40 60 100
20A05101T Python Programming & Data Science ES 3 0 0 3 40 60 100
20A03101T Engineering Drawing ES 1 0 0 2 40 60 100
20A03101P Engineering Graphics Lab ES 0 0 2 1 40 60 100
20A52101P Communicative English Lab HS 0 0 3 1.5 40 60 100
20A56201P Applied Physics Lab BS 0 0 3 1.5 40 60 100
20A05101P Python Programming & Data Science Lab ES 0 0 3 1.5 40 60 100
20A52201 Universal Human Values MC 3 0 0 0 40 40
Subject Code Subject Name Category Teaching Scheme (Hours) Credit Theory Marks Practical Works Total Marks
Theory Tutorial Practical IM EM IM EM
20A54304 Discrete Mathematics & Graph Theory BS 3 0 0 3 30 70 100
20A04304T Digital Electronics& Microprocessors ES 3 0 0 3 30 70 100
20A05301T Advanced Data Structures & Algorithms PC 3 0 0 3 30 70 100
20A05302T Object Oriented Programming Through java PC 3 0 0 3 30 70 100
20A05303 Computer Organization PC 3 0 0 3 30 70 100
20A04304P Digital Electronics& Microprocessors Lab ES 0 0 3 1.5 30 70 100
20A05301P Advanced Data Structures and Algorithms Lab PC 0 0 3 1.5 30 70 100
20A05302P Object Oriented Programming Through Java Lab PC 0 0 3 1.5 30 70 100
19A05304P Web application Development SC 1 0 2 2 30 70 100
20A99201 Environmental Science MC 3 30 30
Subject Code Subject Name Category Teaching Scheme (Hours) Credit Theory Marks Practical Works Total Marks
Theory Tutorial Practical IM EM IM EM
20A54404 Deterministic & Stochastic Statistical Methods BS 3 0 0 3 30 70 100
20A05401T Database Management Systems PC 3 0 0 3 30 70 100
20A05402T Operating Systems PC 3 0 0 3 30 70 100
19A05404T Software Engineering PC 3 0 0 3 30 70 100
Humanities Elective– I
20A52301 Managerial Economics & Financial Analysis HS 3 0 0 3 30 70 100
20A52302 Organizational Behaviour HS 3 0 0 3 30 70 100
20A52303 Business Environment HS 3 0 0 3 30 70 100
20A05401P Database Management Systems Lab PC 0 0 3 1.5 30 70 100
20A05402P Operating Systems Lab PC 0 0 3 1.5 30 70 100
20A05403P Software Engineering Lab PC 0 0 3 1.5 30 70 100
20A99401 Exploratory Data Analysis with R SC 1 0 2 2 30 70 30
20A99401 Design Thinking for Innovation MC 2 1 30 30
20A99301 NSS/NCC/NSO Activities MC 2 30 30
Subject Code Subject Name Category Teaching Scheme (Hours) Credit Theory Marks Practical Works Total Marks
Theory Tutorial Practical IM EM IM EM
19A05501 Formal Languages and Automata Theory PC 3 0 0 3 30 70 100
19A05502T Artificial Intelligence PC 3 0 0 3 30 70 100
19A05503T Object Oriented Analysis and Design PC 2 0 0 2 30 70 100
19A05504T Computer Networks PCC 3 0 0 3 30 70 100
Professional Elective-I
19A05505a Data warehousing and Data mining PE 3 0 0 3 30 70 100
19A05505b Web Technologies PE 3 0 0 3 30 70 100
19A05505c Mobile Application Development PE 3 0 0 3 30 70 100
Open Elective-I
19A02506a Experimental stress analysis. OE 3 0 0 3 30 70 100
19A01506b Building Technology OE 3 0 0 3 30 70 100
19A02506a Electrical Engineering Materials OE 3 0 0 3 30 70 100
19A03506a Introduction to Hybrid and Electric Vehicles OE 3 0 0 3 30 70 100
19A03506b Rapid Prototyping OE 3 0 0 3 30 70 100
19A04506a Analog Electronics OE 3 0 0 3 30 70 100
19A04506b Digital Electronics OE 3 0 0 3 30 70 100
19A05506a Free and Open Computer Graphics and Multimedia Animation Sources Systems OE 3 0 0 3 30 70 100
19A05506b Brewing Technology OE 3 0 0 3 30 70 100
19A27506a Computer Applications in Food Technology OE 3 0 0 3 30 70 100
19A27506b Optimization Techniques OE 3 0 0 3 30 70 100
19A52506a Technical Communication and Presentation Skills OE 3 0 0 3 30 70 100
19A05502P Artificial Intelligence Laboratory PCC 0 0 3 1.5 30 70 100
19A05504P Computer Networks Laboratory PCC 0 0 3 1.5 30 70 100
19A05503T Object Oriented Analysis Design & Testing Lab PCC 0 0 2 1 30 70 100
19A05507 Socially Relevant Project PR 0 0 0 0.5 30 30
19A99501 Mandatory course: Constitution of India MC 3 0 0 0 30 30
Subject Code Subject Name Category Teaching Scheme (Hours) Credit Theory Marks Practical Works Total Marks
Theory Tutorial Practical IM EM IM EM
19A05601 Cryptography & Network Security PC 2 1 0 3 30 70 100
19A05602T Big Data Analytics PCC 3 1 0 3 30 70 100
19A52601T English Communication HS 3 0 0 3 30 70 100
Professional Elective-II
19A05603a Systems Software and Compiler Design PE 3 0 0 3 30 70 100
19A05603b Machine Learning PE 3 0 0 3 30 70 100
19A05603c Design Patterns PC 3 0 0 3 30 70 100
Open Elective-II
19A01604a Industrial waste and waste water management OE 3 0 0 3 30 70 100
19A01604b Services & Maintenance OE 3 0 0 3 30 70 100
19A02604a Industrial Automation OE 3 0 0 3 30 70 100
19A02604b System Reliability Concepts OE 3 0 0 3 30 70 100
19A03604a Introduction to Mechatronics OE 3 0 0 3 30 70 100
19A03604b Optimization techniques through MATLAB OE 3 0 0 3 30 70 100
19A04604b Principles of Communication Systems OE 3 0 0 3 30 70 100
19A05604a Fundamentals of VR/AR/MR OE 3 0 0 3 30 70 100
19A05604b Data Science OE 3 0 0 3 30 70 100
19A27604a Food Toxicology OE 3 0 0 3 30 70 100
19A27604b Food Plant Equipment Design OE 3 0 0 3 30 70 100
19A54604a Wavelet Transforms & its applications OE 3 0 0 3 30 70 100
19A52604a Soft Skills OE 3 0 0 3 30 70 100
Humanities Elective-I
19A52602a Entrepreneurship & Incubation HE 3 0 0 3 30 70 100
19A52602b Managerial Economics And Financial Analysis HE 3 0 0 3 30 70 100
19A52602c Business Ethics And Corporate Governance HE 3 0 0 3 30 70 100
19A52602d Enterprise Resource Planning HE 3 0 0 3 30 70 100
19A52602e Supply Chain Management HE 3 0 0 3 30 70 100
19A05602P Big Data Analytics Laboratory PCC 0 0 3 1.5 30 70 100
19A52601P English Communication lab HS 0 0 3 1.5 30 70 100
19A05605 Socially Relevant Project PR 0 0 3 0.5
19A99601 Mandatory Course: Research Methodology MC 3 0 0 0 30 30
Subject Code Subject Name Category Teaching Scheme (Hours) Credit Theory Marks Practical Works Total Marks
Theory Tutorial Practical IM EM IM EM
15A52601 Management Science HS 3 1 0 3 30 70 100
15A05701 Grid & Cloud Computing PC 3 1 0 3 30 70 100
15A05702 Information Security PC 3 1 0 3 30 70 100
15A05703 Mobile Application Development PC 3 1 0 3 30 70 100
CBCC-II
15A05704 Software Architecture PC 3 1 0 3 30 70 100
15A05705 Computer Graphics PC 3 1 0 3 30 70 100
15A05706 Machine Learning PC 3 1 0 3 30 70 100
CBCC-III
15A05707 Software Project Management PC 3 1 0 3 30 70 100
15A05708 Distributed Systems PC 3 1 0 3 30 70 100
15A05709 Real Time Systems PC 3 1 0 3 30 70 100
15A05710 Grid & Cloud Computing Laboratory PCC 4 2 30 70 100
15A05711 Mobile Application Development Laboratory PCC 4 2 30 70 100
Subject Code Subject Name Category Teaching Scheme (Hours) Credit Theory Marks Practical Works Total Marks
Theory Tutorial Practical IM EM IM EM
MOOCS-II
15A05801 Data Analytics PC 3 1 0 3 30 70 100
15A05802 Mobile Computing PC 3 1 0 3 30 70 100
15A05803 Innovations and IT Management PC 3 1 0 3 30 70 100
MOOCS-III
15A05804 Building Large Scale Software Systems PC 3 1 0 3 30 70 100
15A05805 Enabling Technologies for Data Science Analytics: IoT PC 3 1 0 3 30 70 100
15A05806 Cyber Security PC 3 1 0 3 30 70 100
15A05807 Comprehensive Viva-Voce PCC 4 2 50 50
15A05808 Technical Seminar 4 2 50 50
15A05809 Project Work 24 12 60 140 200

PLACEMENT STORIES


"I have got multiple offers in MNCs and the highest offer that I got is 5.4 Lac per annum. Credit goes to S V College of Engineering. At SVCE, the atmosphere is full of motivation, faculties are enthusiastic and always ready to help, that helped me to think out of the box. College has provided us many training programs for soft skills, analytical skills and technical skills which were very helpful to become industry ready thereby getting a job in MNCs. I thank my faculty, parents and placement team for making my dream come true"

N Jayanth Kumar- B.Tech CSE - 2020

“I am very happy and proud to be part of S V College of Engineering. S V College of Engineering has provided lot of placement opportunities because of which I got placed in multiple MNCs. In a nutshell, college had helped me in all round development of every individual. Thank you SVCK!!!"

K Sai Latha- B.Tech CSE - 2021

“I am feeling blessed as I have been placed in multiple MNCs. This is possible because of the opportunities provided by our college. In the start of my B.Tech, I am an average student but college had shaped me as a matured person with the extensive curricular, co-curricular and extra-curricular and training programs. I am very thankful to S V College of Engineering for shaping me to become industry ready. I thank my faculty and parents for their guidance and whole hearted support in achieving my goals".

K Sai Kumar- B.Tech CSE - 2021

DEPARTMENT DETAILS


S.NO. NAME OF THE FACULTY QUALIFICATION DESIGNATION
1 Dr. A. Chandra Obula Reddy M.TECH Ph.D. Associate Professor & HOD(CSE)
2 G.Sreenivasulu M.TECH(Ph.D.) Assistant Professor & HOD(TPO)
3 Dr. M. Jaya Bhaskar M.TECH., Ph.D. Professor
4 P.V. Madhusudhan M.TECH(Ph.D.) Assistant Professor
5 K. Kishore Kumar M.TECH(Ph.D.) Assistant Professor
6 P. Ram Prasad M.TECH Assistant Professor
7 G. Parvathi M.TECH(Ph.D.) Assistant Professor
8 P. Manvitha Varsha M.TECH Assistant Professor
9 N. Amrutha Varsha M.TECH Assistant Professor
10 S. Ruksana Begum M.TECH Assistant Professor
11 M. Ramu M.TECH Assistant Professor
12 J. Manju Sruthi M.TECH Assistant Professor
13 P. Sampath Kumar M.TECH Assistant Professor

STUDENT ACHIEVEMENTS


...
GATE RANKER -2021

M. Bhavan Kumar Reddy, III CSE student secured ALL INDIA RANK – 3271 in GATE 2021

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GATE RANKER - 2021

C.J. Varun Reddy, III CSE student secured ALL INDIA RANK – 4631 in GATE 2021.

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GATE RANKER - 2020

K.Naga shivudu, IV CSE student secured ALL INDIA RANK – 2989 in GATE 2020.