The Department of Computer Science & Engineering (CSE) was established in 2012 with the vision of making it as a Centre of Excellence.
All disciplines of Science and Engineering now rely heavily on the power of computing and on skilled computer professionals. Computer Science & Engineering specialists are at the forefront of scientific and technological advancements. Keeping this demand in view, the Computer Science and Engineering Department’s goal is dedicated to create Women Technological Leaders of Tomorrow. It moulds students into individual with strong problem solving and critical thinking skills to create innovative solutions for new challenges in science and technology.
The Department of Computer Science & Engineering is propped by well qualified, experienced, and committed faculty to provide quality industry tuned education to the students. The Department has state of the art facilities, infrastructure and computing equipment supported by uninterrupted high-speed internet connection to fulfill the requirements of academics, supports research and learning skills to keep up with the neoteric technological advances as per the industry requirement.
The department offers exciting opportunities for students to expand their intellectual horizons through guest lectures, technical seminars from eminent industries and academia personalities and keeps abuzz with activities to develop their technical skills through various clubs driven by active student participation throughout the year. These clubs include ACM Student Chapter, CSI Student Branch, Department Technical Association-TechBlitz, and coding platforms e-Lab, HackersBay, CodeChef, Hackerrank etc.
Industry oriented and value-added courses like Women In Software Engineering (WISE), Assistive Technologies Lab (ATL), Internet of Things (IoT), ServiceNow, Qualcomm, NASSCOM Future Skills, GCC, ACM, Business English Certification, German language Certification etc. are bestowed on par with the curriculum. In addition, many extracurricular activities are encouraged to showcase their skills. Students are fortunate to have mentor ship with topmost MNCs like Microsoft, Flipkart, Amazon, and Qualcomm, etc.
The department is always on its toes to provide an excellent platform through Mentorship, Internship, hobby projects, workshops, industrial visits for the passionate students to inculcate the zeal to learn new things and do something beyond their academics. These platforms drive students towards industry-oriented thinking, that helps them to participate in paper presentations, mini project exhibitions, Hackathons like Smart India, FLiPR, Codevita, HackWithInfy, etc.
Graduates from the CSE department are heavily recruited by many top companies like Microsoft, Amazon, Flipkart, MuSigma, Xerox, Adobe & SAP labs etc. Pursuing higher studies from reputed universities like University of Texas Austin, Purdue, University of Utah etc. Students are participating in various all India level competitions speak about the vision and strength of the Department.
Faculty and students are encouraged to do certifications offered by NPTEL – SWAYAM, Oracle Certified Java Profession (OCJP), ServiceNow, Coursera, edX, Udemy, NASSCOM etc, to move the needle on upgrading the proficiency and skill set in the interested areas.
The Department has vibrant Alumni working in top notch giants in software industry like Microsoft, Google, Amazon, Flipkart, Salesforce, HP etc.
Since the industry keeps evolving with new technologies, we ensure to keep up with the outside corporate world and impart knowledge amongst our beloved future technocrats!
Undergraduate Programmes offered by Department of Computer Science & Engineering
The Rise of Google, The Rise of Facebook, The Rise of Apple, I think are proof that there is a place for Computer Science as something that solves problems that people face every day. – Eric Schmidt
The four-year undergraduate programme Bachelor of Technology (B.Tech.) in Computer Science and Engineering was started from the academic year 2012-13 with an intake of 60, with the vision of making it as a center of excellence. With consistent academic excellence, the intake has been increased to 120 from the academic year 2014-15 and 180 from the academic year 2019-20. The Department has state of the art facilities, infrastructure and computing equipment supported by uninterrupted high-speed internet connection to fulfill the requirements of academics, supports research and learning skills to keep up with the state-of-the-art technological advances as per the industry requirement.The undergraduate programme in Computer Science and Engineering is accredited by National Board of Accreditation (NBA) for a period of Three years from the academic year 2018-2019 and extended till the academic year 2021-2022.
The Department of Computer Science and Engineering has a vibrant faculty with 35 in number (05 Professors, 04 Associate Professors and 26 Assistant Professors) who with their vast Industrial and Teaching experience set the standards for the quality of education for approaching years. The department is also supported by Adjunct Faculty from Industry and Academia. The faculty are highly qualified and diversified in various domains like Machine Learning, Computer Networks, Data Mining, Image Processing, Parallel Computing, Software Engineering, Cloud Computing, Soft Computing, Block Chain, Deep Learning, Artificial Intelligence etc. to help the students to elevate their talent by delivering top class education blending their rich research experience with classroom teaching. Industry experts are invited religiously to update students’ knowledge to bridge the gap between the theoretical knowledge and the practical field.
Computer Science and Engineering comprises scientific and engineering aspects of computing and study of the theory, design, implementation, and performance of computer software and computer systems, including the study of computer-based devices.
Few courses offered under the Computer Science and Engineering are as follows:
- Machine Learning,
- Artificial Intelligence
- Data Mining
- Cloud Computing
- Software Engineering
- Data Analytics
- Cyber Security
- Information Theory & Coding
- Advanced Computer Architecture
- Natural Language Processing, etc.
Computer will overtake humans with Artificial Intelligence within the next 100 years. When that happens, we need to make sure the computers have goals aligned with ours. -Stephen Hawking
The four-year undergraduate programme, Bachelor of Technology (B.Tech.) in Computer Science and Engineering – Artificial Intelligence and Machine Learning (CSE-AI&ML) specialization will enable students to be ready for Industry 4.0 emerging and exponential technologies. CSE-AI&ML started with a sanctioned intake of 60 from the academic year 2020-2021. The Department has state of the art facilities, infrastructure and computing equipment supported by uninterrupted high-speed internet connection to fulfill the requirements of academics, supports research and learning skills to keep up with the state-of-the-art technological advances as per the industry requirement.
The department of Computer Science and Engineering has a vibrant faculty with 28 in number (5 Professors, 5 Associate Professors and 18 Assistant Professors). Faculty with their vast Industrial and Teaching experience set the standards for the quality of education for approaching years. The department is also supported by Adjunct Faculty from Industry and Academia.
Artificial Intelligence (AI) is a branch of Computer Science that focuses on creating intelligent machines that work as human beings and replicates intelligent behavior.
Example: In any scenario of online shopping, after picking up a certain product, interest/relevant products are automatically popped. There is no need for explicit rules; the system figures out the recommendations on its own. This is the power of Artificial Intelligence (AI), an intelligent system that can perform human-like tasks such as recommendations.
Machine Learning (ML), a sub area of AI, makes a machine to learn on its own without being explicitly programmed. It provides the system, an ability to automatically learn and advance from experience.
Example: Continuing the same scenario of online shopping, the system learns, to make recommendations by observing the products, purchasers are interested in. The more the system observes, the more it learns about their purchasing behaviour and provides better recommendations. The technology behind is Machine Learning.
Artificial Learning and Machine Learning (AI & ML) is an undergraduate programme with advanced learning solutions imparting knowledge of advanced innovations like machine learning, often called Deep Learning and Artificial Intelligence.
The students shall explore the practical components of developing Artificial Intelligence applications and platforms. Proficiency in Mathematics will thrive, as this Bachelors’ degree requires strong problem-solving and analytical skills. They shall be able to acquire the ability to design intelligent solutions for various business problems in a variety of domains and business applications. The students shall be exploring fields such as neural networks, natural language processing, robotics, deep learning, computer vision, reasoning and problem-solving. The key objective is to identify logic and reasoning methods from a computational perspective, learn about agent, search, probabilistic models, perception and cognition, and machine learning.
As all industries and organizations have adapted to Artificial Intelligence applications, currently there is and, in the future, there will be a high demand for opportunities in this field. Industries require new techniques to automate their process. There is a huge demand for professionals with AI & ML skills. Due to exponential growth in the field of Artificial Intelligence in almost every sector, the course can benefit the aspirants with high salary options and scope of growth in their career.
Few courses offered under the CSE – AI & ML specialization are:
- Intelligent systems
- AI for games
- Machine Learning
- Data Visualization
- Deep Learning
- Natural Language Processing
- Data Analytics, etc.