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Computer Science and Engineering

About us

Lab Facility

Software Development Laboratory
 
System Configuration:
Lenovo Thinkcentre Workstations(i5), 8GB DDR3 Memory, 500GB HDD
 
Academic Courses and Softwares:
Internet Programming, JDK, Visual code, MySQL Workbench, Apache Server, XAMPP, Operating Systems, Putty, Object Oriented Programming, Object Oriented Analysis and Design, Security Lab, ArgoUML, Selenium, Junit, Windows 8.1, MS Office 2016.
Centre of Excellence in Machine Learning
System Configuration:
Lenovo Thinkcentre Workstations(i5), 8GB DDR3 Memory & 16GB DDR3 Memory, 500GB HDD
Academic Courses and Softwares:
Project Work, Mini Project, Placement Activities, Google Training Programs, Red Hat Training, Training Programs, Online Exams, Windows 8.1, MS Office 2016.
Networks Laboratory
System Configuration:
Lenovo Thinkcentre Workstations (i7), 16GB DDR3 Memory, 500GB HDD (Newly Upgraded to meet the computational Needs)
Academic Courses and Softwares:
Data Structures, Database Management Systems, Networks, Mobile Application Development, Cloud Computing, Skill Rack Training, Android Studio, C, JDK, Python, NS2, UBUNTU 19.4, Windows 10, SQL Plus, GCC, Yacc.
Open Source Laboratory
System Configuration
Lenovo Thinkcentre Workstations(i3), 16GB DDR3 Memory, 500GB HDD
Academic Courses and Softwares
Advanced Data Structures and Algorithms, Database practices, Research Mentoring, English for Research Paper Writing, MySQL, Python, MongoDB, UBUNTU 16.4, Windows 7, GCC, JDK.
Research Laboratory
System Configuration:
HP Z2 G8 Tower Workstation – 700W Xeon W1350 / 64GB (4×16) ECC RAM/512GB NVME+1TB SATA HDD/NVIDIA A4000 16GB Graphics / 27” Monitor FHD (1920×1080) IPS Display
Courses and Softwares:
Machine learning and Data Analytics, Cloud Computing, Block Chain, Mendeley, Python, Java.

Teaching Learning Facility

HALL NO

CLASS

TEACHING LEARNING AIDS

D-32

I CSE

Projector

Projector screen

Blackboard

Speaker (wireless)

Notice board

I-21

II CSE

I -22

III CSE

I-23

IV CSE

The GMeet Teaching and Learning Upgrade package is added to the existing TLP infrastructure. This supports in domain live streaming, noise cancellation, break-out rooms, polls, Q&A, track attendance and meeting recordings.

Research Facility

Additional facilities are created in order to give the students an edge over the current Technologies.  

Three Specialised Workstations for research in Machine Learning and Data Analytics.

CONFIGURATION:

ModelHP Z2 G8 Tower Workstation – 700W
ProcessorXeon W1350
Memory64GB (4×16) ECC RAM
Secondary Memory512GB NVME+1TB SATA HDD
GraphicsNVIDIA A4000 16GB Graphics
Display27” Monitor FHD (1920×1080) IPS Display

IOT KITS FOR HARDWARE PROJECTS:

To support hardware projects, a facility has been created with three Arduino based IoT kits inclusive of 32 different dynamic sensors and display units.

BLOCKCHAIN SUPPORT:

Based on the MoU signed with Information Data System, Inc., USA (IDS) – LICET has got access to the Bharat BlockChain Network (“BBN/ Network”), a Permissioned BlockChain Network powered by IDS supported by AICTE and LICET.
Contact Us
LICET
Loyola Campus Nungambakkam,
Chennai – 600034.
Get In Touch​

Email Id : licet@licet.ac.in
Phone : +91 – 44 – 28178490

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