CSE LABORATORY 1
CSE Laboratory 1 is well equipped to support core laboratory courses including Networks Lab, Data Structures Lab, Operating Systems Lab, Python Programming Lab, C Programming Lab, and Project Work. The laboratory provides a robust computing environment with all necessary hardware configurations and licensed software tools required for effective hands-on learning. Students gain practical exposure through structured experiments, programming exercises, simulations, and project development activities. The lab facilitates experiential learning by enabling students to apply theoretical concepts in a real-time computing environment. All required specifications and software installations are readily available to support smooth and effective conduct of laboratory sessions.
Laboratory Specifications and Software Details
| S. No | Specification Category | Details |
|---|---|---|
| 1 | Number of Systems | 65 |
| 2 | Processor | Intel® Core i3-3220 @ 3.30 GHz |
| 3 | RAM | 4.00 GB, DDR3 |
| 4 | Storage | 500 GB |
| 5 | Operating System | CentOS |
| 6 | Application Software | GCC Compiler, Python 2.7/ 3.4, Java, NetBeans 8.2, Network Simulator NS2, ArgoUML, LibreOffice, Mozilla Firefox |
CSE LABORATORY 2
CSE Laboratory 2 is designed to support advanced programming and system-level laboratory courses including Python Programming Lab, C Programming Lab, Internet Programming Lab, Operating Systems Lab, Data Structures and Algorithms Lab, Compiler Design Lab, Mini Project, and Project Work. The laboratory provides a well-structured computing environment with updated hardware and essential software tools to facilitate effective hands-on learning. Students gain practical experience through coding exercises, system programming, web application development, and algorithm implementation. The lab encourages problem-solving, logical thinking, and collaborative project development among students. All required software platforms, development tools, and system configurations are readily available to ensure smooth conduct of laboratory sessions.
Laboratory Specifications and Software Details
| S. No | Specification Category | Details |
|---|---|---|
| 1 | Number of Systems | 65 |
| 2 | Processor | Intel® Core i3-3220 @ 3.30 GHz, Intel® Core i5-6500 @ 3.6 GHz, Intel® Core i7-8700 @ 3.20 GHz |
| 3 | RAM | 4.00 GB, DDR3 |
| 4 | Storage | 1 TB |
| 5 | Operating System | Windows |
| 6 | Application Software | Python 3.9, JDK 8, Netbeans 8.2,Mobile Application Development Tool (ADT BUNDLE) Anaconda 3, MySQL, C/C++ Compiler (TDM GCC), Eclipse |
CSE LABORATORY 3
CSE Laboratory 2 is designed to support advanced programming and system-level laboratory courses including Python Programming Lab, C Programming Lab, Internet Programming Lab, Operating Systems Lab, Data Structures and Algorithms Lab, Compiler Design Lab, Mini Project, and Project Work. The laboratory provides a well-structured computing environment with updated hardware and essential software tools to facilitate effective hands-on learning. Students gain practical experience through coding exercises, system programming, web application development, and algorithm implementation. The lab encourages problem-solving, logical thinking, and collaborative project development among students. All required software platforms, development tools, and system configurations are readily available to ensure smooth conduct of laboratory sessions.
Laboratory Specifications and Software Details
| S. No | Specification Category | Details |
|---|---|---|
| 1 | Number of Systems | 65 |
| 2 | Processor | Intel® Core i5-6500 @ 3.6 GHz |
| 3 | RAM | 8 GB DDR4 |
| 4 | Storage | 1 TB |
| 5 | Operating System | Windows 10 |
| 6 | Application Software | Python 3.9, JDK 8, Netbeans 8.2, Mobile Application Development Tool (ADT BUNDLE), Google App Engine, MySQL, C/C++ Compiler (TDM GCC), VMWare, Hadoop, Anaconda 3, Eclipse |
CSE LABORATORY 4
CSE Laboratory 2 is designed to support advanced programming and system-level laboratory courses including Python Programming Lab, C Programming Lab, Internet Programming Lab, Operating Systems Lab, Data Structures and Algorithms Lab, Compiler Design Lab, Mini Project, and Project Work. The laboratory provides a well-structured computing environment with updated hardware and essential software tools to facilitate effective hands-on learning. Students gain practical experience through coding exercises, system programming, web application development, and algorithm implementation. The lab encourages problem-solving, logical thinking, and collaborative project development among students. All required software platforms, development tools, and system configurations are readily available to ensure smooth conduct of laboratory sessions.
Laboratory Specifications and Software Details
| S. No | Specification Category | Details |
|---|---|---|
| 1 | Number of Systems | 65 |
| 2 | Processor | Intel® Core i7-8700 @ 3.20 GHz |
| 3 | RAM | 8 GB DDR4 |
| 4 | Storage | 1 TB |
| 5 | Operating System | Windows 10 |
| 6 | Application Software | Python 3.9, JDK 8, Netbeans 8.2, Mobile Application Development Tool (ADT BUNDLE), Google App Engine, MySQL, C/C++ Compiler (TDM GCC), VMWare, Hadoop, Anaconda 3, Eclipse |