Labs

The Department is enriched with full functioning 240 systems in 5 labs, where each lab consists of latest computers with updated software and fully trained programmers for each lab. The department also consist R & D laboratory for doing research and development activities and a Project Laboratory for which helpful in doing Mini and Major project works for the students.

S.NO	Programme	Year	Semester	Lab Code	Lab Name
1	B. Tech	I	I	CS103ES	Programming for Problem Solving
2	B. Tech	I	II	CS206ES	Python Programming
3	B. Tech	I	II	CS209ES	IT Workshop
4	B. Tech	II	I	IT307PC	Data Structures
5	B. Tech	II	I	IT308PC	Internet of Things
6	B. Tech	II	I	IT306PC	Digital Electronics
7	B. Tech	II	I	IT309PC	Data Visualization Through– R Programming/ Power BI
8	B. Tech	II	I	MC310	Gender Sensitization
9	B. Tech	II	II	IT406PC	Operating Systems
10	B. Tech	II	II	IT407PC	Data Base Management Systems
11	B. Tech	II	II	IT408PC	Java Programming
12	B. Tech	II	II	IT410PC	Node JS/React JS/Django
13	B. Tech	III	I	IT504PC	Software Engineering & Computer Networks
14	B. Tech	III	I	IT505PC	Machine Learning
15	B. Tech	III	I	IT506PC	UI Design Flutter
16	B. Tech	III	II	IT604PC	Compiler Design
17	B. Tech	III	II	IT605PC	Embedded Systems
17	B. Tech	III	II	IT831OE	Data Mining
19	B. Tech	IV	I	IT703PC	Information Security
20	B. Tech	IV	I	IT704PC	Cloud Computing

Programming for Problem Solving

It is the Basic Programming Lab, where students can know what is Algorithm, flowchart, and code. They can know how to develop a code in TURBO C and also how to compile and execute the same code. At this point students able to know the Conditional statements, Looping statements and Selection Statements which are vital in implementing a Program.

Python Programming –

The Python is a versatile, high-level programming language known for its readability and simplicity. It is widely used in web development, data science, machine learning, and software development due to its ease of learning and versatility. Python’s syntax emphasizes code readability, making it easier to understand and maintain. It supports multiple programming paradigms, including object-oriented, functional, and procedural programming.

IT Workshop –

It is bit different from the Programming Languages where students can interact with H/W parts of a System. They can lean how to assemble and De-assemble the system parts through this workshop. Also they can learn the MS-Office basics like MS-Word, Power Pont Presentation and working with Excel Sheets. Finally the students are also able to learn the networking interconnections.

Python Lab-

In this lab student can learn the fundamental concepts like understanding data types, variables, operators, and control flow, which are then used to build more complex programs. These concepts are essential for writing code that can process data, make decisions, and interact with the user. Python supports OOP, which allows you to create classes and objects to model real-world entities and their relationships.

Data Structures Lab –

This lab covers fundamental components including Control Statements, arrays, pointers, and strings, and data structure elements like stacks, queues, Linked List. Also it covers Graphs, Tress and different variations in those concepts.

IoT –

In this lab student can learn about sensors and interconnection among different elements through Internet.

The Internet of Things (IoT) is a network of physical objects, or “things,” embedded with sensors, software, and other technologies to connect and exchange data with other devices and systems over the internet.

JAVA –

This lab introduces the OOPS concepts with Classes, packages and many more. Java is a versatile, object-oriented programming language known for its platform independence, meaning you can “write once, run anywhere” on any device that supports the Java Virtual Machine (JVM). It’s used extensively for developing applications ranging from mobile and web apps to enterprise software, and even in areas like big data and IoT.

DBMS –

This lab allows the student to manage and interact with databases. It provides functionalities for creating, defining, manipulating, and managing databases, ensuring data integrity, security, and efficient access. DBMS is essential for organizing and storing large amounts of data in a structured manner.

Operating Systems –

The OS lab is a practical learning environment for understanding how operating systems function. It focuses on implementing and experimenting with core concepts like process management, memory management, and file systems. It includes different CPU scheduling algorithms, Memory Allocation and
File management concepts.

Data Mining –

A data mining lab, often part of computer science or data science programs, provides hands-on experience in using data mining techniques to discover patterns and insights from large datasets. It focuses on practical application of concepts like classification, clustering, and association rule mining, often using software like WEKA or Python libraries like Scikit-learn.