The Department of Computer Science and Engineering was established in the year 2007-2008 with an intake of 120 for B.Tech CSE. The department has been striving hard to inculcate conceptual and technical skills in students through a scientific teaching methodology based on lectures, case studies, seminars, group discussions, project work, assignments, quiz programs, etc. The systematic and well-planned approach to problem-solving is emphasized in the classrooms and laboratories through the course projects and additional computer training beyond the scope of the syllabus. The department always provides quality teaching in a modernized methodology in order to achieve tomorrow’s technology. The department has high-end computer systems with facilities to work on various platforms under the well-trained faculty members. Many of the faculty members of this department have attended various FDPs, workshops, and seminars and presented many valuable technical papers at the conferences. Students are trained qualitatively during the lab sessions, which enhance their understanding and capability, which guides them in various projects and proves to be a helping hand to do their career growth efficiently.
Mr. Shaik Yasar Ahmed, Assistant Professor & HOD has joined in this institution on 5th February 2025. He is having 11 years of teaching experience post-M.Tech in reputed engineering colleges, with a total of 13 years of experience overall. He maintains the department with utmost diligence in all the activities and support to the faculty. He has a great passion for learning and to ameliorate his pedagogical quest of learning and to impart quality based subject knowledge for students and faculty. He has attended various Workshops, Seminars, FDPs. He Successfully completed multiple NPTEL-AICTE certified FDPs in Data Mining, Machine Learning, and Data Science. Has Participated in workshops and national conferences, reflecting continuous engagement with current academic trends.
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.
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.
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
To Rank Among the Top Engineering Institutions Nationally and Globally
To Foster a Culture of Research and Innovation
To Cultivate Future Entrepreneurs in the Tech Sector.
To Address Societal and Ecological Challenges through Technology.
To Set Up Centers of Excellence and Advanced Research Labs.
To Continuously Upgrade Curriculum with Emerging Technologies.
To Create an Inclusive and Future-Ready Learning Ecosystem.
|
SL.NO |
FACULTY NAME |
QUALIFICATION |
DESIGNATION |
|
1 |
M.Tech |
Assistant Professor & HOD |
|
|
2 |
Ph.D. |
Assistant Professor |
|
|
3 |
M.Tech |
Assistant Professor |
|
|
4 |
M.Tech |
Assistant Professor |
|
|
5 |
M.Tech |
Assistant Professor |
|
|
6 |
M.Tech (Ph.D) |
Assistant Professor |
|
|
7 |
M.Tech |
Assistant Professor |
|
|
8 |
M.Tech |
Assistant Professor |
|
|
9 |
M.Tech |
Assistant Professor |
|
|
10 |
M.Tech |
Assistant Professor |
|
|
11 |
M.Tech |
Assistant Professor |
|
|
12 |
M.Tech |
Assistant Professor |
The BEC Hyderabad Student Chapter of the CSI was established in 2013 to address the needs of the BEC Hyderabad computing community. The goal of the chapter is to create interest among the students for computer science apart from what they learn during the coursework. 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.
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.
The following are the laboratories with the state of the art equipment’s
|
S.no |
Lab Name |
|
1 |
Operating System Lab |
|
2 |
Computer Networks and Web Technologies Lab |
|
3 |
Compiler Design Lab |
|
4 |
Machine Learning Lab |
|
5 |
Mobile Application Development Lab |
|
6 |
Network Programming Lab |
|
7 |
Scripting Languages Lab |
|
8 |
Android Application Development |
|
9 |
Internet of Things |
|
10 |
Linux Programming Lab |
|
11 |
Python Programming Lab |
|
12 |
R Programming Lab |
|
13 |
Software Engineering Lab |
|
14 |
Concurrent Programming Lab |
|
15 |
Software Testing Methodologies Lab |
|
16 |
Data Mining Lab |
|
17 |
C++ Programming Lab |
|
18 |
Data Structures Lab |
|
19 |
Database Management Systems Lab |
|
20 |
Java Programming Lab |
|
21 |
IT Workshop Lab |
The Department has excellent Departmental Library facility under Computer Science engineering.
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
Sanjana Chaudhari published paper on “Optimizing Heart Diseases Prediction Accuracy using Machine Learning Models” in journal IJARESM Vol 12 ,issue 6,June-2024
Husna Sultana published paper on “stub signature based efficient public data auditing system using dynamic procedure in cloud computing” in industrial Engineering journal Vol 53,Issue 9,Sep 2024
Dr. N. Vijay Kumar published a paper titled “Factual Instance Tweet Summarization and Opinion Analysis of Sport Competition” in Springer Nature Singapore Pte Ltd. 2019, indexed by Scopus, in February 2019.
Dr. N. Vijay Kumar published a paper titled “A Face Recognition System Designed for Blind People” in the International Journal of Scientific Research and Review (IJSRR), a UGC-approved journal with an impact factor of 6.1, in February 2019.
Dr. N. Vijay Kumar published a paper titled “Smart Data Mining Method of Social Media for Refining Strength Preservation” in the Advanced International Journal of Research in Engineering and Applied Sciences (AIJREAS), Volume 3, Issue 3, March 2018, a UGC-approved journal with an impact factor of 3.7.
1) Here’s a 5-day, 1-hour-per-day SQL Bootcamp schedule
Day 1: Introduction to SQL & Databases
Objective: Understand the basics of relational databases and SQL.
Day 2: Filtering, Sorting & Functions
Objective: Learn to retrieve meaningful data using filters and functions.
Day 3: Joins and Relationships
Objective: Learn how to query data from multiple related tables
Day 4: Grouping and Subqueries
Objective: Perform grouped operations and nested queries.
Day 5: Real-World Applications & Mini Project
Objective: Apply all concepts to solve real-world-style problems.
2) Conducted one-day workshop on “Microsoft Power BI” in the month of May 2025.
FACULTY ACHIEVEMENTS
Sanjana Chaudhari published paper on “Optimizing Heart Diseases Prediction Accuracy using Machine Learning Models” in journal IJARESM Vol 12 ,issue 6,June-2024
Sanjana Chaudhari Published on Enhancing Heart Disease Prediction Accurate : A Comparative Study of Machine Learning Models with Ensemble Method
Husna Sultana published paper on “stub signature based efficient public data auditing system using dynamic procedure in cloud computing” in industrial Engineering journal Vol 53,Issue 9,Sep 2024
Dr. N. Vijay Kumar presented a paper titled “Small Line Recapped Propagation on Social Network Illustration Courses” at the National Conference on Emerging Trends in Information and Communication Technology, on March 24th, 2018.
Dr. N. Vijay Kumar published a paper titled “Predicting Days Based on Health Insurance Claims” in the International Journal of Scientific Engineering and Technology Research (IJSETR), indexed by Google Scholar, Scribd, and SlideShare, with an impact factor of 3.59, in the year 2017.
STUDENTS ACHIEVEMENTS
55% Students have participated in various workshops ,seminars and technical fests
Got runner up in girls kabaddi in college sports event in 2k25
2nd year student received award for extra curriculum activities
In 2nd year one student got an startup idea at T-hub
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
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
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
The adequacy of the number of qualified, competent and committed faculty, in combination with the sincere and dedicated non teaching and administrative staff, contributes to the sublime cause of effective learner centered and innovative teaching learning process. The institution facilitates the organization of various co–curricular, extra –curricular activities apart from hosting the required student friendly activities and extension services. Read More
Bhaskar Engineering College
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