Laboratory Information:
The department is well equipped with 10 laboratories. Laboratories are equipped with latest machines with high end configurations working in fully networked environment. Each machine has full access to broadband internet highway. The facility provided, supports academic laboratories, hands on sessions for courses conducted beyond syllabus like SDP/FDP, internships, industry certifications and workshops. The labs have PCs with latest configurations running Windows as well as Linux. The laboratories are supported with softwares such as UiPath Studio, Eclipse, Kali Linux, Virtual Box-Ubuntu, Anaconda3, nmap-7.95, Wireshark, VSCode, JupyterNotebook7.0.8, Jenkins, Unity, Blender, Git, Apache-tomcat, Zenmap
Data Structures Laboratory | Computer Programming Laboratory:
Data Structures laboratory course is intended to provide the foundations of the practical implementation and usage of Data Structures. This lab course strengthens the ability of the students to identify and apply suitable data structure for the given real world problem. Students are made familiar with C programming and its applications. Computer programming laboratory course provides insight in to fundamentals of computers and applications. It also provides students an hands on experience on computer programming using different data structures
Python Programming laboratory:
Python Laboratory is equipped with high-end systems and the latest software (Anaconda/ Jupyter Notebook) to provide a seamless coding experience. The lab focuses on modern applications, allowing students to explore libraries like NumPy, Pandas, and Matplotlib for data science, AI, and automation.
DBMS Laboratory:
Data Base Management System laboratory course is mainly intended to provide practical understanding of the fundamentals of database management systems, techniques for the design of databases, and principles of database administration by developing and managing databases for various problems. The laboratory sessions provide practical experience on creation of queries, organization of records, data manipulation, and transaction management techniques
Computer Networks Laboratory:
Computer networks laboratory course provides students with hands on training regarding the design, troubleshooting, modeling and evaluation of computer networks. The course enables students to study and modify network topologies and setting appropriate parameters. Upon completing the course, student will have experience in designing communication protocols and are exposed to TCP/IP protocol suite.
Cryptography and Cyber Security Laboratory
Cryptography and Cyber Security course focuses on protecting digital information and systems through both theoretical concepts and hands-on security practices. The students learn about fundamental and modern cryptographic algorithms used for secure communication, including symmetric key, public key, hashing, and authentication mechanisms. Along with cryptography, it introduces core cyber security principles such as network security, threat analysis, vulnerabilities, and attack–defense strategies, and also provides an overview of digital forensics for evidence collection and investigation in cyber incidents. Students gain real-world exposure by using industry-relevant tools such as Wireshark and tcpdump for packet analysis, Nmap and Netcat (nc) for network scanning and connectivity testing, Scapy for packet crafting and security experimentation, steganographic tools for data hiding techniques, and SQL injection tools for understanding web application security and database exploitation.
The Devops laboratory :
The DevOps Laboratory provides students with hands-on experience in modern software development and deployment practices. The lab focused on integrating development and operations through automation, collaboration, and continuous delivery. Students understand essential DevOps tools such as Git, Jenkins, and Docker to manage source code, automate builds, and deploy applications. Practical sessions help students understand continuous integration and continuous deployment (CI/CD) pipelines. Emphasis was placed on teamwork, version control, and real-time problem solving. The laboratory enhanced students’ practical skills and prepared them for industry-oriented DevOps environments.
Design & Analysis of Algorithms Laboratory:
Design & Analysis of Algorithms Laboratory is being utilized by the students of IV semester for design and implementation of various algorithms in Java using appropriate design techniques (brute-force, greedy, dynamic programming etc). The laboratory sessions provides practical exposure on designing and analyzing algorithms and data structures for different kinds of problems.
Project Laboratory | Innovative Project Laboratory:
The main objective of Project lab is to help the students develop ability to apply the engineering and technological concepts, tools and techniques to study and attempt to solve any engineering or system problem. Stress will be given on quality of training for development of professional competence.
Innovative project lab is mainly intended towards the implementation of innovative ideas of students and students who present the best innovative projects will be rewarded every semester at college level, department level and class level.
Machine Learning Laboratory:
Machine Learning laboratory course provides insight in usage and analysis of datasets applying different machine learning techniques. The associated course also enables students to predict and classify things by the analysis of datasets. The laboratory enables students to gain hands-on implementation of algorithms using real-world datasets. Students gain practical experience in data pre-processing, feature selection, model training, and performance evaluation.
Department Library:
The department maintains a Library for staff and students, which includes reference books, university question papers, seminar and project reports.
Research and Development Laboratory:
Research & Development center of the department is recognized by VTU. Since its inception the center has good number of research scholars and guides conducting research activities. Undergraduate and post graduate students are encouraged to do project works suggested by professors. Students are able to formulate the problem statement, experience the strength of solutions by analyzing the input data and output results.
The Department of CSE also provides additional facilities to provide enhance learning in various technologies via industry collaborations with Samsung, Dell, Juniper, Redhat, Cisco, IBM etc.
