The Department of Computer Science and Engineering at Marri Laxman Reddy Institute of Technology and Management (MLRITM) is equipped with 17 laboratories that support academic learning, research, and innovation. Each laboratory is designed to provide students with hands-on experience aligned with the latest advancements in computing and information technology.

The laboratories are well-equipped with modern hardware, licensed software, and high-speed network connectivity, enabling students to translate theoretical concepts into practical implementation. These facilities cater to core computing areas as well as emerging technologies, ensuring that students are industry-ready and research-oriented.

The department hosts the following laboratories:

Programming for Problem Solving Laboratory:

Introduces students to the fundamentals of programming in C. It helps them develop algorithmic thinking, problem-solving ability, and proficiency in structured programming concepts.

IT Workshop:

Provides hands-on experience in basic computer hardware, operating systems, and productivity tools such as MS Office, LaTeX, and Open Office. It enhances technical proficiency for day-to- day computing tasks.

Data Structures through Python Laboratory:

Enables students to implement and analyze data structures using Python. It emphasizes algorithmic efficiency, recursion, and modular programming skills.

Design and Analysis of Algorithms Laboratory:

Focuses on the implementation of classic algorithms to solve computational problems efficiently. Students learn algorithm design techniques such as divide and conquer, greedy, and dynamic programming.

Database Management Systems Laboratory:

Provides practical exposure to database creation, SQL queries, and normalization using tools like MySQL and Oracle for efficient data management.

Computer Networks Laboratory:

Offers practical understanding of network protocols, configuration, and simulation using tools such as Cisco Packet Tracer and NS2.

Compiler Design Laboratory:

Trains students in the design and construction of compilers through phases such as lexical analysis, syntax analysis, and code generation.

Cryptography and Network Security Laboratory:

Provides practical exposure to encryption, decryption, hashing algorithms, and secure communication protocols to understand cyber security fundamentals.

MongoDB Laboratory:

Focuses on NoSQL database management using MongoDB for large-scale, unstructured data storage and retrieval in modern web applications.

Power BI Laboratory:

Enhances data visualization and analytics skills using Microsoft Power BI. Students learn to create interactive dashboards and derive insights from data.

Flutter Laboratory:

Enables students to design and develop cross-platform mobile applications using Flutter and Dart, promoting full-stack development skills.