Labs and Infrastructure
| Facilities And Technical Support | |||
|---|---|---|---|
| Sr. No | Name of the Laboratory | No. of students per setup (Batch Size) | Name of the Important equipment |
| 1 | Programming Laboratory I | 1 (30 to 40) |
Computer System with Required Software |
| 2 | Programming Laboratory II | 1 (30 to 40) |
Computer System with Required Software |
| 3 | Operating Systems Laboratory | 1 (30 to 40) |
Computer System with Required Software |
| 4 | Data Structures Laboratory | 1 (30 to 40) |
Computer System with Required Software |
| 5 | Software Engineering Laboratory I | 1 (30 to 40) |
Computer System with Required Software |
| 6 | Software Engineering Laboratory II | 1 (30 to 40) |
Computer System with Required Software |
| 7 | Computer Centre -I Laboratory | 1 (30 to 40) |
Computer System with Required Software |
| 8 | AI & DS Lab & Research Lab | 1 (60) |
Computer System with Required Software |
| 9 | AI & ML Lab | 1 (60) |
Computer System with Required Software |
| Additional Facilities | ||||||
|---|---|---|---|---|---|---|
| Sr. No | Facility Name | Details | Reason(s) for creating facility | Utilization | Areas in which students are expected to have enhanced learning | Relevance to POs / PSOs |
| 1. | Machine Learning | Learning laboratory for Implementing AI. Weka and Python based tools. |
Students study feature based classification and regression patterns of data. | This facility is used for implementation of projects related to Artificial Intelligence. | Image processing, Segmentation, Summarization, and Sentimental analysis | PO1, PO2, PO3, PO4, PO5, PO11, PO12, and PSO 2 |
| 2. | Deep Learning | Deep neural networks using NumPy. | Deep learning is used in industries to give solutions inthe field of computer vision, natural language processing and pattern recognition | This facility is used for complex learning problems which normally happen in case of human learning. | Automatic speech recognition. Image recognition. Visual art processing and Natural language processing |
PO1,PO3 PO4,PO5,PO9, PO10, PO11, PO12 and PSO2 |
| 3. | Amazon Web Service (AWS) | Amazon Web Services (AWS) is a comprehensive, evolving cloud computing platform provided by Amazon. It provides a mix of infrastructure as a service (IaaS), platform as a service (PaaS) and packaged software as a service (SaaS) offerings. | Provides hands on exposure of AWS to students. | This facility is utilized for the implementation of projects and for better carrier opportunities. | Cloud computing | PO1, PO2, PO3, PO4, PO5, PO11, PO12, and PSO 2 |
| 4 | IoT | Arduino and Raspberry PI. Arduino IDEs | Programming is embedded on the microcontrollers of latest Arduinos.Most of daily things are controlled remotely by another machine. | This facility is used for the automation of real time industry projects | Home automation, Smart city and Automated water plants. | PO1, PO2, PO3, PO4, PO5, PO11, PO12, and PSO1, PSO2 |
| 5. | Cloud Computing | Cloud Foundry, VMware software, Evolving cloud computing platform provided by VMware. |
Provides hands on exposure of cloud computing to the students. | This facility is utilized for better carrier opportunities and the implementation of projects. | Cloud computing | PO1, PO2, PO3, PO4, PO5, PO11, PO12, and PSO 2 |
| 6 | SAP | SAP is Enterprise Application Software (EAS). SAP provides (ABAP) - Advanced Business Application Programming. | Provides hands on exposure of SAP to the students. | This facility is utilized for the Customization of Business Application and fundamental SAP_ABAP Programming and better carrier opportunities. | Business Application, ABAP Programming, Production Planning, Material Management, and Quality Management. | PO1, PO2, PO3, PO4, PO5, PO11, PO12, and PSO 2 |
| Project Laboratory | ||
|---|---|---|
| Laboratory | Number of Students | Major Facilities / Equipment’s / Software Available |
| Project Laboratory | 30 |
|
| Safety Measures in Laboratories | |
|---|---|
| Name of the Laboratory | Safety measures |
| Programming Laboratory –I |
|
