The Department of Computer Science is one of the largest and well established centres of learning computer science inSouth India offering B Tech,B.Tech Honours, M Tech, BCA, and MCA programmes.
Experienced and highly qualified faculties facilitate the students to achieve a high level knowledge and skills on recent trends in computing. The department has close association with reputed institutions in India and abroad (SUNY Buffalo,VU,UC Davis etc) to support students in their academics and final projects as internship.
Through this rapport, students also get opportunities to learn conventional as well as emerging areas in core computer science.
Campus has well established research centres carrying out real time projects in different areas in computer science, funded by the industry and the government. Research environment at campus is an added advantage for one who seeks career in teaching and research, after the post-graduation.
Department also hosts prestigious programming contest ACM-ICPCknown as the “Olympics of Programming Contest” every year.
To make an impact through Value Based Technical Education, Technology Innovation, Research and Service to Society.
We must lead the way, in partnership with others, in capitalizing on our many advantages, achieving a forefront position in areas of high impact in information technology that will benefit the institution, the region, and the nation.
The courses has been designed with the objective of imparting quality education in the field of Computer Science and to carry out leading-edge research in the discipline of Computer Science. With rapidly evolving technology and the continuous need for innovation the department has always produced quality professionals, holding various positions in Information Technology and other industry in India and abroad.
In keeping with Amrita Vishwa Vidyapeetham recommendations, all programs offered by the Department follow a credit-based, continuous evaluation system. The credit system allows flexibility for course selection and time frame for completion of the program, and it also provides a good blend of teaching and learning, ensuring credible evaluation procedures and student mobility. The prominent features of the credit system cover continuous evaluation of student performance through well-planned assessment procedures and flexibility to allow a student to progress at a pace suited to his/her individual ability and convenience, subject to certain conditions.
To earn a degree, students must earn a minimum number of credits as laid down in the curriculum. A minimum standard of performance is required concerning study progress.
Department of Computer Science at Amritapuri campus has achieved 100% placements for B. Tech in last five years.
M. Tech. Computer Science Engineering 2017-2019 Batch
The students of M. Tech. Computer Science and Engineering, 2017-2019 batch, secured prestigious placements at the following companies:
Highest Packages Obtained: B. Tech. 2015-2019 Batch
Highest Packages Obtained: B. Tech. 2014-2018 & Previous Batches
Invited Talks and scholarships/Internships
Discrete Mathematics Center focuses in research and training. The areas of interest include: Discrete Mathematics, Algorithmic Design and Analysis, Bio-informatics and Bio-computation.
Students of Discrete Mathematics Center participate in research and problem solving activities. Subsequent to graduation they pursue higher education and industrial careers as well. Some of them are either pursuing or obtained graduate degrees from reputed universities across Europe and America. Some of them are working for industries including Hackerrank, Amazon, DirectI, Cisco and Flipkart. The active areas of research include the following. Theoretical-computer-science (Bio-computation): Efficient algorithms to transform strings and permutations with various operations, this research has applications in genetic mutations and evolutionary biology. Bio-informatics: Computational enumeration of protein structures and the subsequent frequency distribution analysis. This research explores the protein structure space. Combinatorics: Computing cardinalities of subsets of Sn with k adjacencies and applications thereof. This research investigates alternative ways computing either distances or expected distances in the symmetric group Sn for a given set of operation.
A strong membership comprised of all Computer Science students and faculty members of the Computer Science Department provides a solid base for the student associations to move their strategies and plans forward. The associations contribute toward academic progress as they open up new outlooks for exploration through different activities. In addition, they lend a hand to all events headed by the institution.The Department of Computer Science has four student associations:
Number of participants attending each workshop :
Primary coordinators were fifth semester students and all other junior and seniors extended their cooperation in coordinating the various events. Major events included Coding, Hacking, Quiz, Best Manager and Ultimate Engineer, as well as Network Gaming, Treasure Hunt, T shirt designing, movie making and a workshop on Hacking and Game design.
Bi0s - Main Highlight
The research at the department aims to take up projects meeting to the needs of the society . The department's research efforts are improved by collaborations with leading research universities and industries around the world. The department currenly focuses on the following major thrust areas for research:
Simi S. as member of Amrita Centre for Wireless networks and applications is working in the project Micronet project Mobile Infrastructure for Coastal Region Offshore Communications & Networks funded by Information Technology Research Academy (ITRA), Department of Electronics & Information Technology, Government of India
Dr. Athi Narayanan mentored students as part of NTRO project, "Automated System data feeding in Tiki using web-crawling for database updation."
The developed a tool which is capable of crawling through the website and collect the information regarding the key which is entered by the user. All analysis and visualization were presented through Web Application. Our project involves extracting of data from different sites using web crawlers and display on the page which contains the details regarding the searches the user made. The user needs to enter the key for which he wishes to search and specify the number of sites from which the user wanted to extract the data. The details include the sites URL which is mostly visited by the users using Google search, all the articles present in the site regarding the search which the user made and all the images present in the site regarding the search which the user made. The articles or some of the details regarding the search need not always be in English. The output is displayed in another page i.e. simply a collection of all the details at one place. User can also download the page which he searched for the details of.
Prof. Sandhya Harikumar mentored students as part of NTRO project.
The objective of the project is to develop a tool which is capable of crawling of news articles from various news sources and facilitate Text Analysis/ Mining of News articles. All analysis and visualization need to be presented through Web Application.
Project Description: Our main focus will be on open-source text data and its analysis.In our project, we shall extract data from RSS or using web crawlers we shall extract data from sites and ingest it into a database. The details included in the article must be recognized and stored (details like name, phone, email etc of the people mentioned in the article, article author, URL, date of the article etc) and the extras should be filtered out. The news-feed need not always be in English. If in any other language, the language is to be identified and using suitable NLP algorithms, the documents can be converted to English language and then stored in the database, along with the original language details. Also in case of redundant articles, the duplicate data is to be eliminated. The end user shall make use of a search engine (preferably Elastic search engine), to retrieve particular data or particular details from the database (for example- based on data collected, details of a person’s location or a person’s phone number). The output shall be displayed using a web interface. If possible, pictorial data can also be used (for example we can use graphs to identify a person’s location).
The Departments of Computer Sciences of Amritapuri, Bengaluru, Coimbatore and Mysuru campuses will jointly organize an International Symposium, Artificial Intelligence for Social Good (AISG 2021), from June 30 to July 2, 2021.
The Department of Mathematics and Department of Computer Science, Amrita Vishwa Vidyapeetham, Amritapuri, Kollam, Kerala, are jointly organizing a National Level FDP on Deep Learning Unfolded during May 27-31, 2019, in association with ACRD (Amrita Center for Research and Development).
The Department of Computer Science & Engineering, School of Engineering, Amrita Vishwa Vidyapeetham, Amritapuri campus and Amrita Centre for Research and Development ( ACRD), will organize a Hands-on Workshop on Neural Network Architectures & its Applications.
The Department of Computer Science & Engineering, School of Engineering, Amrita Vishwa Vidyapeetham, Amritapuri campus and Amrita Centre for Research and Development ( ACRD), will organize a workshop on Machine Learning in Social Media Analysis on March 2, 2019.
The School of Engineering, Amrita Vishwa Vidyapeetham, Amritapuri Campus, is proud to be one of the zonal centres of Techradiance’19. Techradiance is an industrial oriented training or workshop by Harbour Technologies in association with Techfest IIT Bombay.
PACE and ACM Student Chapter of Amritapuri in association with ACRD (Amrita Center for Research and Development) are hosting a two-day technical workshop for students(+1 to PG) on Blockchain, from February 23- 24, 2019.
The Department of Mathematics and Department of Computer Science, Amrita Vishwa Vidyapeetham, Amritapuri campus, jointly organize a Faculty Development Program (FDP) on "Demystifying Machine Learning" (DML 2018) from December 10-14, 2018, in association with ACRD (Amrita Center for Research and Development).
The Department of Mathematics and Department of Computer Science, Amrita Vishwa Vidyapeetham, Amritapuri campus, will jointly organize a Workshop on Machine Learning from December 5-9, 2018, at the campus.
The Department of Computer Science and Engineering, Amrita School of Engineering, Amritapuri campus, will host the 2nd Symposium on Application of Formal Methods for Safety & Security of Critical Systems - AFMSS 2018, from February 26-28, 2018.
The Department of Computer Science, Amrita Vishwa Vidyapeetham and Amritapuri Campus is organizing a two day national level workshop on Internet of Things (IoT) from October 18 to 19, 2016.
The department of Computer Science, Amrita School of Engineering, Amritapuri Campus, is conducting a National Workshop on Machine Learning and BigData from June 6 – 10, 2016.