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Coding the Future

Empowering female students to progress through quality education in the frontier of Computer Science & Engineering. Established 2009, intake 60.

Computer Science & Engineering — department

About Department

The Computer Science and Engineering Department was established in 2009 with an annual intake of 60 students. It focuses on software, hardware, networks, and emerging technologies.

Graduates are prepared for careers in software engineering, data science, embedded systems, and higher studies.

Eligibility

KEAM + 10+2 (PCM >= 45%)

Courses Offered

Undergraduate

B.Tech Computer Science & Engineering

Duration: 4 Years

Intake: 60

Eligibility: KEAM + 10+2 (PCM >= 45%)

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Vision

To be in the frontier of Computer Science & Engineering and empower female students to progress through quality education by keeping pace with the new challenges in this field.

Mission

To impart both theoretical and practical knowledge through state-of-the-art concepts and technologies in the Computer Science & Engineering field.
To attract and develop talented and committed human resources, and provide an environment conducive to innovation, creativity, team-spirit, and entrepreneurial leadership.
To inculcate values of professional ethics, leadership qualities and lifelong learning.
To create professionals for employment in the industry, higher education, community and entrepreneurship to benefit the society.

Program Educational Objectives

Graduates will be able to:

1 High-level attainment of key principles and practices of Computer Science & Engineering along with theoretical foundations in Mathematics and scientific investigation to solve problems appropriate to the discipline.
2 Acquire the skill to apply knowledge in computer science and engineering to solve real-world problems using the latest technologies.
3 Impart exhaustive knowledge so that students can collaborate as team members and leaders to facilitate technical solutions for computing systems.

Program Specific Outcomes

Design and develop computer programs/computer-based systems in areas related to algorithms, networking, system software, architecture, security, and data mining of varying complexity.
Apply the knowledge of computing both hardware and software aspects to the solution of real-world engineering problems.

Key Focus Areas

Algorithms & Data Structures

Software Engineering

Networking & Security

Machine Learning & AI

System Architecture

VLSI & Embedded Systems

Data Mining & Analytics

Department Infrastructure / Labs

Computer Lab

Workstations for programming, software development, and computing practicals.

Internet Lab

Dedicated internet connectivity for web development and online research.

DS Lab

Data structures and algorithms hands-on lab.

Hardware Lab

Computer hardware and networking practicals.

Infrastructure

Diploma

Over 1 year

Computer Hardware & Networking

non-teaching

Department Events

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2024

Industry interaction on cloud and cybersecurity

Expert talk covering career pathways, certifications, and secure software development lifecycle.

2023

Coding sprint and peer learning session

Collaborative problem-solving event for first- and second-year CSE students.

Research Activities

Sl.No	Research Title	Researcher(s)	Resource
1	Elephant Tracking with Seismic Sensors: A Technical Perceptive Review	Jerline Sheebha Anni & Arun Kumar Sangaiah (2016)	-
2	A Wireless Sensor Network based on Unmanned Boundary Sensing Technique for Minimizing Human Elephant Conflicts	Jerline Sheebha Anni Dhanaraj & Arun Kumar Sangaiah (2017)	-
3	Elephant Detection using Boundary Sense Deep Learning (BSDL) Architecture	Jerline Sheebha Anni Dhanaraj & Arun Kumar Sangaiah (2018)	-
4	Artificial Neural Network based Smart and Energy Efficient Street Lighting System	Jerline Sheebha Anni, Prabu Mohandas & Xiao-Zhi Gao (2019)	-
5	Cognitive IoT System with Intelligence Techniques in Sustainable Computing Environment	Jerline Sheebha Anni, Arun Kumar Sangaiah, Prabu Mohandas & Aniello Castiglione (2020)	-
6	Object Detection and Movement Tracking using Tubelets and Faster RCNN Algorithm with Anchor Generation	Prabu Mohandas & Jerline Sheebha Anni D et al. (2021)	-
7	Elephant movement mapping in Hosur forest border areas to detect intrusion pattern and mitigation measures	Prabu Mohandas & Jerline Sheebha Anni D et al. (2021)	-

Syllabus & Schemes

B.Tech CSE - Syllabus & Scheme

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