07324-405000 | info@svcp.ac.in
SVGI was established in 2004. It is approved by AICTE, affiliated to RGPV. The institution offers courses in Engineering, Pharmacy, Management and Diploma in Engineering.
For excellent candidates interested in pursuing an undergraduate degree in computer science or careers in research-oriented computing, the Bachelor of Computer Science & Engineering is a four-year professional program with a strong research component. The basis for many of the modern technical innovations that the world enjoys is computer science. The field has expanded enormously. The advancements it brings about for the future never seem to stop. The fact that computer science is used in numerous interdisciplinary domains is only another one of its many wonderful qualities. We work to fulfil the organisation's motto, "Planting the Future," by giving students a high-quality education and enhancing their competency.
VISION:
MISSION:
M1. To equip students with latest skills in the field of technologies
M2. Prepare the students with strong fundamental concepts, analytical capability, programming and problem solving skills
M3.To equip students with latest skills in the field of technologies
M4.To make the students as for as possible industry ready to enhance their employability in the industries.
PO1. Engineering: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
PO2. Problem analysis: Identify, formulate, research literature, and analyse 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 Educational Objectives
PEO 1: -To provide the imperatives knowledge of science and engineering concepts fundamental for a computer professional and equip the proficiency of mathematical foundations and algorithmic principles for competent problem-solving ability.
PEO 2: -To inculcate ability in creativity & design of computer support systems and impart knowledge and skills for analyze, design, test and implement various software applications.
PEO 3: -To exhibit leadership capability, triggering social and economic commitment and inculcate community services and protect environment. w
PEO 4: To train students with good scientific and engineering logics to comprehend, analyse, design and create novel products as well as solutions for the real time problems.
PEO 5: -To encourage student’s lifelong learning skills, entrepreneurship abilities, ethical values for a successful professional career.
Program Specific Outcomes
PSO 1: -Foundation of mathematical concepts: To use mathematical methodologies to crack problem using suitable mathematical analysis, data structure and suitable algorithm.
PSO 2: -Foundation of Computer System: the ability to interpret the fundamental concepts and methodology of computer systems. Students can understand the functionality of hardware and software aspects of computer systems.
PSO3: Foundations of Software development: the ability to grasp the software development lifecycle and methodologies of software systems. Possess competent skills and knowledge of software design process. Familiarity and practical proficiency with a broad area of programming concepts and provide new ideas and innovations towards research.
Course Outcomes
Full Name
Mr. Ashish Tiwari
Designation
Assistant Professor & HOD
Qualifications
BE , M.Tech
Full Name
Dr. Dharmendra Choukse
Designation
Assistant Professor
Qualifications
BE , M.Tech, Ph.D
Full Name
Mrs. Akanksha Dubey
Designation
Assistant Professor
Qualifications
BE , M.Tech,
Full Name
Mrs. Krishna Patidar
Designation
Assistant Professor
Qualifications
BE , M.Tech
Full Name
Ms. Rekha Yadav
Designation
Assistant Professor
Qualifications
BE , M.Tech
Full Name
Mrs. Priya Sen
Designation
Assistant Professor
Qualifications
BE , M.Tech
Full Name
Mrs Vaishali Upadhyay
Designation
Assistant Professor
Qualifications
BE , M.Tech
Full Name
Ms. Amisha Jain
Designation
Assistant Professor
Qualifications
BE , M.Tech
Full Name
Mrs Srashtika Gupta
Designation
Assistant Professor
Qualifications
BE , M.Tech
Full Name
Ms Arti Patidar
Designation
Assistant Professor
Qualifications
BE , M.Tech
Full Name
Ms. Saloni Atre
Designation
Assistant Professor
Qualifications
BE , M.Tech
Full Name
Ms. Amisha Bhime
Designation
Assistant Professor
Qualifications
BE , M.Tech
Full Name
Ms. Amrita Jain
Designation
Assistant Professor
Qualifications
BE , M.Tech
Full Name
Ms. Ayushi Godiya
Designation
Assistant Professor
Qualifications
BE , M.Tech
Full Name
Ms. Khushboo Thakre
Designation
Assistant Professor
Qualifications
BE , M.Tech
Full Name
Ms.Mithilesh Nandini Malviya
Designation
Assistant Professor
Qualifications
BE , M.Tech
Full Name
Mr. Mohit Raikwar
Designation
Assistant Professor
Qualifications
BE , M.Tech
Full Name
Ms. Praneeta Bisen
Designation
Assistant Professor
Qualifications
BE , M.Tech
Full Name
Mrs. Priyanka Bisen
Designation
Assistant Professor
Qualifications
BE , M.Tech
Full Name
Ms. Ruchi saxena
Designation
Assistant Professor
Qualifications
BE , M.Tech
Full Name
Ms. Shivani Gupta
Designation
Assistant Professor
Qualifications
BE , M.Tech
Full Name
Ms. Shredha Parmar
Designation
Assistant Professor
Qualifications
BE , M.Tech
Full Name
Mr. Vishal Sharma
Designation
Assistant Professor
Qualifications
BE , M.Tech
Full Name
Ms. Aarti Verma
Designation
Assistant Professor
Qualifications
BE , M.Tech
Full Name
Ms. Saloni Gautam
Designation
Assistant Professor
Qualifications
MCA
Full Name
Ms. Muskan Uday
Designation
Assistant Professor
Qualifications
BE , M.Tech
Full Name
Ms. Twinkle Yadav
Designation
Assistant Professor
Qualifications
BE , M.Tech
Full Name
Ms. Megha Baghsawari
Designation
Assistant Professor
Qualifications
BE , M.Tech
Full Name
Ms. Anjali Kayat
Designation
Assistant Professor
Qualifications
BE , M.Tech
Full Name
Mrs. Ruchi shriwas
Designation
Assistant Professor
Qualifications
BE , M.Tech
Full Name
Ms. Divya Solanki
Designation
Assistant Professor
Qualifications
BE , M.Tech
Artificial Intelligence Machine Learning Laboratory
Lab contains high configuration advanced i5, latest Generation computers for performing Machine Learning and Artificial Intelligence based experiments System Configuration: Processor: Intel® Core™ i5 Processors, RAM: 8 GB, Storage: 250 GB SSD, Hard Disk: 1 TB
Web Designing Laboratory
Lab contains high configuration advanced i5, latest Generation computers to perform HTML 5, Angular JS, Node JS, and other higher level programming experiments. System Configuration: Processor: Intel® Core™ i5 Processors, RAM: 8 GB, Storage: 250 GB SSD, Hard Disk: 1 TB.
IoT Laboratory
IoT Laboratory has the power of i5 high-speed processors, Raspberry PI, Arduino Boards and various open-source software to build and test IoT devices. System Configuration: Processor: Intel® Core™ i5 Processors, RAM: 8 GB, Storage: 250 GB SSD, Hard Disk: 1 TB.
Data Analytics Laboratory
To perform the experiments on Data Analytics, lab contains computers with high computing capabilities. Experiments are performed in Python, Kaggle, Anaconda, Orange, etc. System Configuration: Processor: Intel® Core™ i5 Processors, RAM: 8 GB, Storage: 250 GB SSD, Hard Disk: 1 TB
Computer Network Laboratory
To simulate the various networking concepts, lab has computers with high-speed i3 processors. Experiments are performed through various open-source networking software i.e.: NCTUNS •NS3 •TCPDUMP •WIRESHARK System Configuration: Processor: Intel® Core™ i5 Processors, RAM: 8 GB, Storage: 250 GB SSD, Hard Disk: 1 TB.
Cloud Computing Laboratory
To demonstrate the latest cloud computing aspects, lab comprises of latest desktop systems with updated Cloud Simulators i.e.: •Hadoop •Eucalyptus •Cloud Sim •Own Cloud System Configuration: Processor: Intel® Core™ i5 Processors, RAM: 8 GB, Storage: 250 GB SSD, Hard Disk: 1 TB.
Linux and Operating System Laboratory
To understand the operating systems' core concepts and practical exposure to the Red Hat Linux operating system for certification, the lab is equipped with high-speed i5 processors. System Configuration: Processor: Intel® Core™ i5 Processors, RAM: 8 GB, Storage: 250 GB SSD, Hard Disk: 1 TB.
Address : Swami Vivekanand Group of Institutions Vivekanand Knowledge City, Khandwa Road, Indore, Pin Code : 452020
Tel : 07324-405000
Fax : 07324-405000
E-mail : info@svcp.ac.in