Computer Science and Engineering

Vision & Mission

Vision

To nurture excellence in the field of Computer Science and Engineering by imparting timeless core values to the learners and to mold the Department of Computer Science and Engineering into a center of academic excellence and advanced research.

Mission

To impart high Quality Technical & Professional education in order to mold the learners into globally competitive professionals who are professionally deft, intellectually adept and socially responsible. The Department of Computer Science and Engineering strives to make the learners inculcate and imbibe pragmatic perception and pro-active nature, so as to enable them to acquire a vision for exploration and an insight for advanced inquire.

Short/Long term Goals

Short term Goals

• To conduct faculty development programmers regularly for skill up gradation.

• To modernize all the laboratories

• To train and educate students as Global Citizens

• To Place teaching / tutorial material of each subject on the internet to enable students to browse at their own place of learning.

• To encourage the students to participate in community development programs.

• To conduct summer and winder schools for faculty members and short-term course for technicians to widen their knowledge base and deepen their understanding of the latest trends and developments in field of Electrical Engineering

Long term Goals

• To be among top ten leading institutes in India and abroad and be recognized as the best department in terms of research and innovation.

• To develop consultancy for various industries

• To create better entrepreneurs in the IT Sector

• To establish and strengthen Industry-Institute interaction and be industry solution providers.

• To strive hard to meet the social, ecological and ethical needs of the region.

• To establish State of the art research facilities in the department.

Faculty Details

Professional Bodies

CSI BEC student Chapter

The BEC Hyderabad Student Chapter of the CSI was established in 2013 to address the needs of the BEC Hyderabad computing community. Goal of the chapter is to create interest among the students for computer science apart from what they learn during the course work. The chapter organizes talks and workshops on different subjects by speakers who are well known in their area. These talks give students opportunities to learn about advanced research subjects. Apart from these, some non-technical activities are also organized.

Infrastructure

LAB Photos

The department owns 250 latest computer systems with high configuration and upgraded software and maintains an exclusive lab with 1 to 1 ratio for each subject.

DETAILS OF LABORATARIES

The following are the laboratories with the state of the art equipment’s

The Department has excellent Departmental Library facility under Computer Science engineering.

Voluntary Organization

NSS Activities: Conducted Blood camp at our college and donated books and stationary for the school children in nearby villages.

• Department of CSE conducted A Blood Donation Camp at Bhaskar engineering College for cancer effected Children’s to the MNJ Hospital (520 units) with the help of Central blood bank Narayanaguda (Govt blood bank) Durgabhai Deshmuk in the month of Feb 2014

Research and Development

PAPER PUBLICATION

• Mrs. Ayesha Mariyam published a paper on “An Approach to Big Data Analytics and its Significance” in Online International Interdisciplinary Research Journal, {Bi-Monthly}, ISSN 2249-9598, Volume-07, May 2017 Special Issue.

• Mrs.Ayesha Mariyam published a paper on “Enhanced Privacy Access Control Model for Multi-Party in Online Social Networks” in Journal of Advanced Research in Dynamical and Control Systems.

• Miss. Talla Sai Sree published a paper on “Secure Multiparty Computation Trusted Third Site On Horizontal Partition using CK Secure Sum Protocol” in Journal of International Journal of Software Engineering and Technology Informatics.

• Mrs. N Mounika published a paper on “ Contribute Detach and Autonomous Access to Cipher text in Cloud Database” in Journal of International Journal of Innovative Technology and Reasearch.

• Mrs. K Shravani published a paper on “ Robust Monitoring of Link Delays and Faults in Binary Network” in Journal of International journal of Global Innovations, vol 6, issue I.

• Mr. G Ramesh published a paper on “ Prostate Histopathology Image Classification Using Neural Network Process and Tumor Detection” in journal of IJCST vol 5, issue 3.

Seminars

Seminars/Workshops Organised

• Conducted a guest lecture on “How to become a Software Engineer” in the month of December 2015.

• Conducted one day workshop on “Project Management” in the month of October 2015.

• Conducted two days’ workshop on “Cloud Computing” in the month of October 2014.

• A guest lecture on Big Data and Internet of Things is going to be conducted tentatively on 08/10/215.

• A workshop on “Cloud Computing” was conducted in association with WebTek Labs and IBM by CSE department in the month of October 2014.

• A workshop on “DRUPAL”, usage of software was organized by CSE department in the month of March 2014.

• A workshop conducted on Cloud Computing in association with IBM by CSE department in the month of October 2014.

Seminars/Workshops Attended

• M. Kartheek , G.Ramesh attended ICT Academy Faculty Development Programme on R Programming at JBREC

• T.Sai Sree, G. Ramesh attended ICT Academy Faculty Development Programme on PHP Programming at JBIET.

• G.Ramesh attended AICTE Induction Program at IARE.

• Mrs. Ayesha Mariyam attended FDP on Data Science and Next Generation AI at MJCET.

• Organized one day workshop on “INNOVATIVE TEACHING METHODOLOGIES” on 10-Apr-2018.

• T. Sai Sree, V.Yogi Raj attended FDP on “Teaching Methodology” at JBIET.

• V. Yogi Raj attended FDP on “ Applied Machine Learning Using Python” at MGIT .

• G. Ramesh attended Conference on “The International Conference on Advanced Computing Methodologies(ICACM) at GRIET.

• G Ramesh attended Workshop on “ IEEE Xplore Digital Library” at JNTUH.

Achievements

FACULTY ACHIEVEMENTS

• Mrs.Sujana.Dayam published paper in IMAGE PROCESSING “A New Method of Automatic and Accurate Image Registration through Histogram Based Image Segmentation”. Published in IJAIR, Volume 2, and Issue 9 September 2013.

• Mrs.Swetha Kadam published paper on “Distributional Features for Text Categorization using ensemble learning Techniques “. Published in IJSAA, Volume 3, Issue 2, 2013

• Mrs. Swetha Kadam published a paper on “An approach to Big data and its importance” in 2017

STUDENT ACHIEVEMENTS

• 20 students have participated in various workshops, seminars and technical fests.

• Won 1st prize in inter department men’s cricket conducted in college sports event 2k18.

• Won 1st prize in inter department women’s throw ball conducted in college sports event 2k18.

• Won 1st prize in inter department men’s table tennis singles & doubles conducted in college sports event 2k18.

Best Projects

1. Pharmacy Management System

The main aim of this Project is to ease the effort of pharmaceutical shop keepers to sell medicine. This is done by creating a web application called pharmacy management system which is nothing but a database with a simple graphical user interface making things much easier to handle. The database is responsible for storing not only the details of all the medicines in the inventory. But also the details of all the transactions that take place so as to generate invoices, all this is done in the efforts to create a secure, accurate and easy-to-use system for effective storage of information and transaction processing.

Pharmacy Management system (PAM) is a computer based management system whose heart is the database which is aided by the graphical user interface.PAM is a web application which can be accessed using any web browser. The primary functions of this system are inventory management and transaction processing. Some of the secondary functions of this system are generating reports of previous transactions, notifying the shop keeper about expired products, printing invoices, keeping track of suppliers, etc.

This project is successfully completed by the Final Year students of Academic year 2018-19

2. Hospital Managing Interface

Hospital managing interface is a web application which provides an easy to use web-based common interface for viewing, adding, modifying or detecting patient appointment records. the web application which also provides an easily handle the information and its services.

As technology advances we tend to switch of storing information in digitally instead of storing in a traditional manual manner (paper based /registers).it reduces the overhead on maintain those record. this web application increase overall processing speed as well as comfort and functionality.

The main function of the system is register and store patient details and doctor details and retrieves these details as and when required, and also to manipulate these details meaningfully system input contains patient details, while system output is to get these details on the screen. The hospital managing interface can be entered using a username and password. it is accessible either by an administrator or receptionist. only they can add data into the database. the data can be retrieved easily. the data are well protected for personal use and makes the data processing very fast

This project is successfully completed by the Final Year students of Academic year 2018-19

3. Performance Analysis of Supervised Machine Learning Algorithm

Prediction is widely researched area in data mining domain due to its applications. There are many traditional quantitative forecasting techniques, such as ARMA, exponential smoothing, etc. Which achieved higher success rate in the forecasting but it would be useful to study the performance of alternative models such as machine and make it intelligent so that the machine will be able to make predictions which may give more benefits. There are many supervised machine learning techniques are available so it is a difficult task to choose the best one. This paper gives performance measures of various supervised machine learning algorithms used for prediction. The goal is to find how different supervised machine learning algorithms gives performance when applied to different types of datasets.

Performance analysis of supervised machine learning algorithm is done in this paper, including Linear Regression, Decision Tree Regression, and K-Nearest Neighbour. These algorithms are applied to various data sets. Evaluation of generated models has been done by RMSE (Root Mean Square Error). Based on the RMSE value, the comparisons between the algorithms is made and best algorithm will be chosen.

This project is successfully completed by the Final Year students of Academic year 2018-19