Computer Science and Engineering
Overview and Program Outcomes
The Department of Computer Science and Engineering (CSE) at the SPEC was established in 2007, offers Undergraduate Program – B.Tech in CSE with an initial intake of 60 students and the intake was subsequently increased to 90 students in the year 2009, 180 students in the year 2012, 360 students in the year 2023 and 420 students in the year 2024. Department of CSE was Accredited by NBA in the year 2016, 2019 and 2022 (Under Tier-II), valid up to Academic Year: 2024-25.
The faculty in the department is highly skilled and knowledgeable. The faculty’s diverse backgrounds in computer science and engineering allow them to transmit their skills in a wide range of UG program courses. The department’s teaching methodology meets the demands of the modern industry in addition to meeting the university’s syllabus standards. Teachers encourage and mentor students to complete little projects in foundational courses. The development of soft skills and communication will receive particular attention. To improve students’ practical expertise, the department maintains close ties with many sectors.
Encouragement in the department to take up Research projects and also to cater to the needs of faculty, who are doing their Research work. The focus areas of the department for R & D activities identified are Knowledge Engineering Research, Networking and High Performance Computing. The department of CSE also has the collaborations with the premier industries like MICROSOFT and has established their excellence centres in the department.
Students participate in academic research projects as well. The department’s faculty has papers published in a number of reputable journals and conferences. In order to create Industry-Institution Interaction, MOUs are signed with industries in the Hyderabad, Bangalore, and Chennai areas. This interaction is used to organise industrial visits, take on real-world projects, and provide staff and students with training and internship opportunities. Over the last three years, the student’s success rate has exceeded 90%. The department’s laboratories are all well-equipped with sophisticated configuration technologies and are set up in a large manner. The student-to-computer ratio is kept at 1:3. In every lab, new experiments are being carried out to help the students gain more real-world experience. A library is operating in the department to expand reference services to the faculty and students in addition to the Central Library.
Vision
To be a global leader in Computer Science Education, Research and Development, Innovation through industry collaboration and cultivating future-ready technologists.
Mission
DM1: Cultivate experiential learning through state-of-the-art technologies and algorithms to address real-world interdisciplinary challenges.
DM2: Collaborate with industry and academia to equip students with cutting-edge skills and prepare them for dynamic careers.
DM3: Strengthen theoretical and applied research in Computer Science & Engineering, fostering innovation, impactful contributions, and instilling ethical values and social responsibility in all endeavors.
Program Educational Objectives
PEO 1: Innovate and contribute to research, driving technological advancements in industry and society.
PEO 2: Excel as leaders in software development, ensuring industry and government excellence.
PEO 3: Lead entrepreneurial ventures, fostering growth in computer science-driven technologies at national and global levels.
Program Outcomes
PO: 1 ENGINEERING KNOWLEDGE: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
PO: 2 PROBLEM ANALYSIS: Identity, formulate, research literature, and analyze complex engineering problems reaching substantiated conclusions using the first principles of mathematics, natural sciences, and engineering sciences.
PO: 3 DESIGN/DEVELOPMENT OF SOLUTIONS: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for public health and safety, and cultural, societal, and environmental considerations.
PO: 4 CONDUCT INVESTIGATIONS OF COMPLEX PROBLEMS: Use research-based knowledge and research methods including design of experiments, analysis, and interpretation of data, and synthesis of the information to provide valid conclusions.
PO: 5 MODERN TOOL USAGE: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
PO: 6 THE ENGINEER AND SOCIETY: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
PO: 7 ENVIRONMENT AND SUSTAINABILITY: Understand the impact of professional engineering solutions in societal and environmental contexts, demonstrate the knowledge of, and need for sustainable development.
PO: 8 ETHICS: Apply ethical principles and commit to professional ethics, responsibilities, and norms of the engineering practice.
PO: 9 INDIVIDUAL AND TEAM WORK: Function effectively as an individual, and as a member or leader in diverse teams, and multidisciplinary settings.
PO: 10 COMMUNICATION: Communicate effectively on complex engineering activities with the engineering community and with society, such as being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
PO: 11 PROJECT MANAGEMENT AND FINANCE: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
PO: 12 LIFE-LONG LEARNING: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.
Program Specific Outcomes
PSO-1 Design and develop computing subsystems for data storage, communication, information processing, and knowledge discovery.
PSO-2 Design algorithms for real-world problems, focusing on execution and complexity analysis while considering security, cost, quality, and privacy parameters in software development.
Academic Facilities
Under Graduate Program
| S.No | Program | Total Intake |
| 1 | Computer Science and Engineering (CSE) | 420 |
Placements
| S.No | Academic Year | No. of Companies Visited | No. of Students Placed |
| 1 | 2023-24 | 26 | 119 |
| 2 | 2022-23 | 33 | 120 |
| 3 | 2021-22 | 29 | 125 |
Faculty Details
R & D Activities
Books/Book Chapters
| S.No | Academic Year | Download |
|---|---|---|
| 1 | 2024-25 | Download |
| 2 | 2023-24 | Download |
| 3 | 2022-23 | Download |
MOUs
| S.No | Academic Year | Number of MOUs | List |
|---|---|---|---|
| 1 | 2024-25 | 02 |
|
| 2 | 2023-24 | 04 |
|
| 3 | 2022-23 | 05 |
|
Students Achievements
Students Participation in Events within the State (Inter Institute Events)
| S.No | Roll Number | Name of The Student | Name of the Event | Name of the Organization | Location | Date |
|---|---|---|---|---|---|---|
| 1 | 23BK1A0507 | Anand Shivam Burman Roy | IIC Regional Meet | IARE | Telangana | 11-12-2023 |
| 2 | 22BK1A05C9 | N. A. Jones | 12th IIC Regional Meet | IARE | Telangana | 11-12-2023 |
| 3 | 22BK1A05J5 | M Vikas | Project Expo | IARE | Telangana | 11-12-23 |
| 4 | 22BK1A0503 | A Sai Teja | Technical Workshop | JNTUH | Telangana | 08-03-2024 |
| 5 | 22BK5A0505 | G Abhiram | Data Analytics Workshop | JNTUH | Telangana | 08-03-2024 |
| 6 | 22BK1A0576 | J Merlyn Sunaina | Data Analytics Workshop | JNTUH | Telangana | 09-03-2024 |
| 7 | 22BK1A0576 | J Merlyn Sunaina | Cyber Security on Workshop | JNTUH | Telangana | 10-03-2024 |
| 8 | 22BK1A0583 | K Divya | Paper Presentation | MRCET | Telangana | 22-03-2024 |
| 9 | 22BK1A05J5 | M Vikas | Project Expo | MREM | Telangana | 24-03-2024 |
| 10 | 22BK1A05D8 | P Aneesh | Project Expo | MREM | Telangana | 24-03-2024 |
| 11 | 22BK1A05C9 | N Jones | Project Expo | MREM | Telangana | 24-03-2024 |
| 12 | 22BK1A05G6 | T Bhavana | Project Expo | MREM | Telangana | 24-03-2024 |
| 13 | 23BK1A05CB | Harshil Yacham | Communication Skills (Course) | TCS | Telangana | 25-04-2024 |
| 14 | 23BK1A05AL | Pavuluri Yoganand | Communication Skills (Course) | TCS | Telangana | 25-04-2024 |
| 15 | 23BK1A05CB | Harshil Yachan | Accenture, Data Analytic and Visualization | Forage | Telangana | 28-05-2024 |
| 16 | 23BK1A05AL | Pavuluri Yoganand | Redbull | Forge | Telangana | 28-05-2024 |
| 17 | 23BK1A05AA | M Pavan Kumar | Redbull | Forge | Telangana | 28-05-2024 |
| 18 | 23BK1A05Y4 | G. Sai Thilak | Redbull | Forge | Telangana | 28-05-2024 |
| 19 | 22BK5A0505 | G Abhiram | Webinar on Automation | Skill Ected | Telangana | 28-08-2024 |
| 20 | 22BK1A05H4 | V. Shambhavi | Vishesh-2K24 | MREC | Telangana | 27-28/09/2024 |
| 21 | 22BK1A05E9 | P. Sathwika | Vishesh-2K24 | MREC | Telangana | 27-28/09/2024 |
| 22 | 22BK1A05F6 | Shahina Mougli | Vishesh-2K24 | MREC | Telangana | 27-28/09/2024 |
| 23 | 22BK1A05D2 | Nisha U | Vishesh-2K24 | MREC | Telangana | 27-28/09/2024 |
| 24 | 22BK1A05E5 | T Prateek Reddy | Vishesh-2K24 | MREC | Telangana | 27-28/09/2024 |
| 25 | 22BK1A0503 | A Sai Teja | Online Hackathon | Chandigarh University | Telangana | 22-10-2024 |
| 26 | 23BK1A05AC | M. Sarala | Hackthon | BITS | Telangana | 09-11-2024 |
| 27 | 23BK1A05BP | T. Amulya | Hackthon | BITS | Telangana | 09-11-2024 |
| 28 | 22BK1A05H4 | V. Shambhavi | Zignasa-2K24 | MLRIT | Telangana | 05-06/12/2024 |
| 29 | 22BK1A05F6 | Shahina Mougli | Zignasa-2K24 | MLRIT | Telangana | 05-06/12/2024 |
| 30 | 22BK1A05F4 | S. Vishal | Zignasa-2K24 | MLRIT | Telangana | 05-06/12/2024 |
| 31 | 22BK1A0568 | G. Haritha | Zignasa-2K24 | MLRIT | Telangana | 05-06/12/2024 |
| 32 | 22BK1A0503 | A Sai Teja | Technical Quiz | Unstop | Telangana | 16-12-2024 |
| 33 | 22BK1A0597 | K. Prabhakar | UI/UX Workshop | NXTWAVE | Telangana | 22-12-2024 |
| 34 | 23BK1A05AU | Rahul Kumar | Java Database Connectivity | Udemy Scaler School | Telangana | 01-01-2025 |
| 35 | 23BK1A05BY | N. Vyshnavi | ARANI/DEBATE Hackthon | GNITS | Telangana | 20-01-2025 to 24-01-2025 |
| 36 | 23BK1A05Y3 | G. Kavya Sree | ARANI/DEBATE Hackthon | GNITS | Telangana | 20-01-2025 to 24-01-2025 |
| 37 | 23BK1A05BY | N. Vyshnavi | Film Festival | GNITS | Telangana | 23-01-2025 |
| 38 | 23BK1A05Y3 | G. Kavya Sree | Film Festival | GNITS | Telangana | 23-01-2025 |
| 39 | 22BK5A0505 | G Abhiram | CMR Hackfest-2.0 Hackthon | CMRIT | Telangana | 31-01-2025 to 01-02-2025 |
| 40 | 22BK1A0526 | B. Lavanya | Hackfest 2.0 | CMREC | Telangana | 31-01-2025 to 01-02-2025 |
| 41 | 22BK1A0531 | B. Ramya | Hackfest 2.0 | CMREC | Telangana | 31-01-2025 to 01-02-2025 |
| 42 | 22BK1A0553 | D. Swathi | Hackfest 2.0 | CMREC | Telangana | 31-01-2025 to 01-02-2025 |
| 43 | 22BK1A0523 | B Abhinaya | Hackfest 2.0 | CMREC | Telangana | 31-01-2025 to 01-02-2025 |
| 44 | 22BK1A05C9 | N. A. Jones (2nd Prize) | Techsphere | MREC | Telangana | 22-23/03/2025 |
Students Participation in Events Outside the State
| S.No | Roll Number | Name of The Student | Name of the Event | Name of the Organization | Location | Date |
|---|---|---|---|---|---|---|
| 1 | 22BK1A0585 | K Preetham | Smart India Hackthon 2K24 | VidyaVardaka college of Engineering (Mysore) | Karnataka | 11-12-12-2024 |
| 2 | 22BK1A0506 | A. Chareeshma | Smart India Hackthon 2K24 | VidyaVardaka college of Engineering (Mysore) | Karnataka | 11-12-12-2024 |
| 3 | 22BK1A05A7 | M Sai Teja | Smart India Hackthon 2K24 | VidyaVardaka college of Engineering (Mysore) | Karnataka | 11-12-12-2024 |
| 4 | 22BK1A05B9 | M. Harshan. K | Smart India Hackthon 2K24 | VidyaVardaka college of Engineering (Mysore) | Karnataka | 11-12-12-2024 |
| 5 | 22BK1A0574 | K. Jayanth | Smart India Hackthon 2K24 | VidyaVardaka college of Engineering (Mysore) | Karnataka | 11-12-12-2024 |
| 6 | 22BK1A05H4 | V Shambhavi | VISAI Hackthon | Vel Tech University | Tamilnadu | 22-25/02/2025 |
| 7 | 22BK1A05E9 | P Sathwika | VISAI Hackthon | Vel Tech University | Tamilnadu | 22-25/02/2025 |
| 8 | 23BK5A0519 | S Srikar | VISAI Hackthon | Vel Tech University | Tamilnadu | 22-25/02/2025 |
| 9 | 21BK1A0563 | G Lakshmi Anusha | VISAI Hackthon | Vel Tech University | Tamilnadu | 22-25/02/2025 |
| 10 | 21BK1A0569 | G Yagna Bharathi | VISAI Hackthon | Vel Tech University | Tamilnadu | 22-25/02/2025 |
Prizes/Award Received in Events
| S.No | Roll Number | Name of the Student | Name of the Event | Name of the Organization | Location | Date | Achievement |
|---|---|---|---|---|---|---|---|
| 1 | 23BK1A05BY | N. Vyshnavi | Basketball | Mahindra | Telangana | 13-02-2024 | 3rd Position |
| 2 | 22BK1A05J5 | M Vikas | Project Expo | MREM | Telangana | 24-03-2024 | 2nd Position |
| 3 | 22BK1A05D8 | P Aneesh | Project Expo | MREM | Telangana | 24-03-2024 | 2nd Position |
| 4 | 22BK1A05C9 | N Jones | Project Expo | MREM | Telangana | 24-03-2024 | 2nd Position |
| 5 | 22BK1A05G6 | T Bhavana | Project Expo | MREM | Telangana | 24-03-2024 | 2nd Position |
| 6 | 22BK1A0583 | K Divya | Ideathon 2.0 | GRIET | Telangana | 15-04-2024 | 1st Position |
| 7 | 22BK1A05C9 | N. A. Jones | Techsphere | MREC | Telangana | 22-23/03/2025 | 2nd Position |
Academic Year (2024-25)
| S. No. | Name of the Faculty | Title of the Paper | Journal Name | Vol, Issue, PP | ISBN/ ISSN No. | DOI |
|---|---|---|---|---|---|---|
| 1 | Begamvati Bhavana, S. Veerabh, V. Sujiva Prasad, C. Venuopal, A. Senthil Murugan | Agriculture Crop Recommendation System using Machine Learning | Shodhsamhita: Journal of Fundamental & Comparative Research | Vol. XI, Issue-II, Nov.‘24, pp.659–665 | ISSN: 2277-7067 | DOI Link |
| 2 | Gaddam Sathvika, Venkata Kishore Puli, Janapriya Naspuri, G. Prabhakar Reddy, S. Veerabhadrachari | Enhancing Traffic Sign Recognition Using Deep Learning Techniques: An Object Detection Approach | Shodhsamhita: Journal of Fundamental & Comparative Research | Vol. XI, Issue-II, Nov.‘24, pp.666–676 | ISSN: 2277-7067 | DOI Link |
| 3 | Chatla Spandana, P. Deepan, Mohd Arshad, Sujib Rama Krishnamurthi, G. Karunya Sai | Common Toxicity Detection Using Deep Learning | Shodhsamhita: Journal of Fundamental & Comparative Research | Vol. XI, Issue-II, Nov.‘24, pp.686–692 | ISSN: 2277-7067 | DOI Link |
| 4 | Kemburu Somidara, K. Rajkumarpandit, L. Shaik Sameer, V. Sai Kishore, A. S. V. Sai Lavanya | Music Generation using Recurrent Neural Network | Journal of Nonlinear Analysis and Optimization | Vol. 15, Issue 2, Dec.‘24 | ISSN: 1906-9685 | DOI Link |
| 5 | Chinnamvaya Raju, V. Sai Kishore, K. Little Flower, T. Saroj Reddy | Real-Time Driver Drowsiness Detection System using Fuzzy Logic and Landmark Analysis | Journal of Nonlinear Analysis and Optimization | Vol. 15, Issue 2, Dec.‘24 | ISSN: 1906-9685 | DOI Link |
Academic Year (2023-24)
| S. No. | Name of the Faculty | Title of the Paper | Journal Name | Vol, Issue, PP | ISBN/ISSN No. | DOI |
|---|---|---|---|---|---|---|
| 1 | Narusu Sujitha, Ch. Aswini, D. Haritha Reddy, Janapathi Nagaraju, G. Prabhakar Reddy | Modernizing loan approval: a data-driven approach to credit decisions | Journal of Nonlinear Analysis and Optimization | Vol. 14, Issue. 2 : 2023 | ISSN: 1906-9685 | Link |
| 2 | Saripalli Lohitha, Reshma. C, Vemulapool, V. Shiva Prasad, D. Sreekanth | Smile craft laboratory a dental lab application developed using MEAN stack | Journal of Nonlinear Analysis and Optimization | Vol. 14, Issue. 2 : 2023 | ISSN: 1906-9685 | Link |
| 3 | Neela Nikhita, R. Venkat, M. Dinesh Kumar, Mohd Arshad, Sujha Rama Krishnamma | Forecasting Diabetes Onset Using Machine Learning Techniques: A Comparative Analysis of Models | Journal of Fundamental & Comparative Research | Vol. X, Issue-II October 2023 | ISSN: 2277-7067 | Link |
| 4 | Mallepula Divulatha, Prema Popuri, Maseddy Gouthami, R. Sunil Gavaskar, M. Vijay Raju | Chronic kidney disease prediction using machine learning and python | Journal Of The Asiatic Society of Mumbai | Vol. XCVI, (Pt. 1), 2023 | ISSN: 0972-0766 | Link |
| 5 | Dr. Amjan Shaik, Bhavesh Bharadwaj, J. Ramesh Babu | Online Banking System Using Cloud Computing | Industrial Engineering Journal | Vol. 52 (6), p. 420-423, June: 2023 | ISSN: 0970-2555 | Link |
| 6 | Dr. Meera Alphy, YMR Gunadhar, J. Ramesh Babu, Amjan Shaik | Ensembling Deep Neural Networks for Multi-Class Plant Pathology Diagnosis | Industrial Engineering Journal | Vol. 52 (6), p. 430-434, June: 2023 | ISSN: 0970-2555 | Link |
| 7 | V. Vani, V. Sumanth Goud, Amjan Shaik, J. Ramesh Babu | Automatic Shadow Detection in Image Using Adaptive Threshold segmentation | Industrial Engineering Journal | Vol. 52 (6), p. 437-439, June: 2023 | ISSN: 0970-2555 | Link |
| 8 | Amandeep Kaur, V. Vishal, Amjan Shaik, J. Ramesh Babu | Backdoor Entrance to A Windows System | Industrial Engineering Journal | Vol. 52 (6), p. 438–441, June: 2023 | ISSN: 0970-2555 | Link |
| 9 | J. Ramesh Babu, Sivasrutha Tumati, Amjan Shaik | Weapon Recognition Using Images of Sword Patterns | Industrial Engineering Journal | Vol. 52 (6), p. 442–446, June: 2023 | ISSN: 0970-2555 | Link |
| 10 | Mrs. C. Sowjanya, L. Sujitha, Amjan Shaik, J. Ramesh Babu | Machine Learning Based Road Sign Recognition using CNN Algorithm | Industrial Engineering Journal | Vol. 52 (6), p. 470–476, June: 2023 | ISSN: 0970-2555 | Link |
| 11 | P. Teja, Amjan Shaik, Ramesh Babu J | Utilizing Heterogeneous Graph Transformer for unmasking fraud in Online Product Reviews | Industrial Engineering Journal | Vol. 52 (6), p. 525–530, June: 2023 | ISSN: 0970-2555 | Link |
Academic Year (2022-23)
| S. No. | Name of the Faculty | Title of the Paper | Journal Name | Vol., Issue, PP | ISBN/ ISSN No. | DOI |
|---|---|---|---|---|---|---|
| 1 | Dr Amjan Shaik, Kunduru Sai Asritha, Neelam Lahre, Bollu Joshua, Velagapudi Sri Harsha | Customer Loan Eligibility Prediction using Machine Learning | Journal of Algebraic Statistics | Vol. 13(2), 2022, p.2053-2062. | 1309-3452 | Customer Loan Eligibility Prediction using Machine Learning |
| 2 | G Prabhakar Reddy, Mohammed Afraaz, Amit Ranjan Bej, Y. Lokesh Kumar, Bandaru Chintha | Image Deblurring using Repeating Gradient Descent Model | Journal of Algebraic Statistics | Vol. 13(3), 2022, p.2043-2052 | 1309-3452 | View of Image Deblurring using Repeating Gradient Descent Model |
| 3 | G. Sudha, Thumma VidyaShiny, C. Ramesh Reddy, Shaik Irfan, K N Dhana Ranjan, I Vinod Kumar | Stock Price Prediction Using Machine Learning | Journal of Algebraic Statistics | Vol. 13(3), 2022, p.2080-2086 | 1309-3452 | View of Stock Price Prediction Using Machine Learning |
| 4 | Dr Amjan Shaik, Nitin Bisht, Vijay Kumar, Nihar Raghvendra, Rohit Gupta | Prediction of Stock Index Pattern via three-stage architecture of TICC, TPA-LSTM and Multivariate LSTM-FCNs | Journal of Algebraic Statistics | Vol. 13(3), 2022, p.2063-2079 | 1309-3452 | View Article |
| 5 | Dr. A. Anipajhan, Abdul Aziz Syed, Manasa Thagirinacha, Manasa Namala, Anusha Nayini | Plant Leaf Disease Detection Using Machine Learning | Journal of Algebraic Statistics | Vol. 13(3), 2022, p.2096-2104 | 1309-3452 | Plant Leaf Disease Detection Using Machine Learning |
| 6 | Kommireddi Madhavi, Guda Pravalika, Rathlavath Jaya, Sandeep Sharan Ganesh, Konda Gowtham | Music Recommendation System Based On Emotion Recognition | Journal of Algebraic Statistics | Vol. 13(3), 2022, p.2105-2112 | 1309-3452 | Music Recommendation System Based On Emotion Recognition |
| 7 | Md. Ilyas K., Santosh Kumar, K. Nandini, Md. Arief, M. Rishikesh, K. Kavya | Biometric Authentication for Cloud Services | Journal of Algebraic Statistics | Vol. 13(3), 2022, p.2132-2142 | 1309-3452 | Biometric Authentication for Cloud Services |
| 8 | Dr. A. Anjaiah, Yamsani Sowmya, Chaganti Kusumitha, Kushal Tirmale, Begari Aravind Kumar | Food Quality Auditing and Surveillance System by Using Internet of Things | Journal of Algebraic Statistics | Vol. 13(3), 2022, p.2124-2131 | 1309-3452 | Food Quality Auditing and Surveillance System by Using Internet of Things |
| 9 | Dr. Amjan Shaik, Puli Sai Laxmi, Fluri Anusree, Shaik Abbas, Sangem Rajesh, A. Teja | Forecast Bitcoin Price Prediction Using Time Series Analysis through Machine Learning | Journal of Algebraic Statistics | Vol. 13(3), 2022, p.2113-2123 | 1309-3452 | Forecast Bitcoin Price Prediction Using Time Series Analysis through Machine Learning |
| 10 | Dr. Anjaiah Adepu,Yedugani Akanksha, Dasari Gokul Pavan, Lakkarsu Aneesh Varma, Kethavath Devendher | Network Malware Detection for Cloud Infrastructure | Journal of Algebraic Statistics | Vol. 13(3), 2022, p.2151-2157 | 1309-3452 | Network Malware Detection for Cloud Infrastructure | JOURNAL OF ALGEBRAIC STATISTICS (publishoa.com) |
| 11 | Dr. A. Anjaiah, Padala Pushpa Lakshmi Latha Reddy, Varagala Keerthika, Nunavath Srikanth Nayak, Kathegari Rakesh | Automatic Number Plate Detection for Motorcyclists Riding Without Helmet | Journal of Algebraic Statistics | Vol. 13(3), 2022, p.2158-2165 | 1309-3452 | Automatic Number Plate Detection for Motorcyclists Riding Without Helmet |
| 12 | Dr. A. Anjaiah, Kareti Sai Naga Lokesh, Sethala Jayashree, Nethella Rakesh, Kammari Meghana | Smart Automatic Irrigation System for Cotton Crop Using IoT | Journal of Algebraic Statistics | Vol. 13(3), 2022, p.2166-2174 | 1309-3452 | Smart Automatic Irrigation System for Cotton Crop Using IoT |
| 13 | J. Sagar Babu, S. Rishitha Reddy, S. Archana, D. Sathwik, D. Sumanth Reddy, G. Ganesh | Spotting and Reporting Garbage in Urban Streets Using Mobile Edge Computing | Journal of Algebraic Statistics | Vol. 13(3), 2022, p.2183-2189 | 1309-3452 | Spotting and Reporting Garbage in Urban Streets Using Mobile Edge Computing |
| 14 | Shaik Mohammed Ilias, Javvaji Niharika, Gaddam Harshavardhan Reddy, Gopu Srujan | Prediction of Software Quality Using Machine Learning | Journal of Algebraic Statistics | Vol. 13(3), 2022, p.2175-2182 | 1309-3452 | Prediction of Software Quality Using Machine Learning |
| 15 | Dr. Anjaiah Adepu,Pedada Sirisha, Kashuvajjala Vikas, Thakur Vaishnavi Singh, Naresh Vajjala, M. Sriya Reddy | A Study of Blockchain Technology in Farmer’s Portal | Journal of Algebraic Statistics | Vol. 13(3), 2022, p.2035-2042 | 1309-3452 | A Study of Blockchain Technology in Farmer’s Portal | JOURNAL OF ALGEBRAIC STATISTICS (publishoa.com) |
| 16 | Chirag Samal, Stephen Siril J, Patha Vandana, Bommapalla Manoj, G. Prabhakar Reddy | A I Virtual Mouse (using Hand Gestures and Deep Learning) | International Journal of Early Childhood Special Education (INT-JECSE) | Vol 14(5), 2022, p.1519-1526 | ISSN: 1308-5581 | DOI: 10.9756/INTJECSE/V1415.153 |
| 17 | Mr. G. Prabhakar Reddy, Sujku Keerthi Reddy, Konda Ashrith Reddy, B.S. Kavya, M. Sai Sankeerth, B. Pavan Kumar | Systematic Analysis of Healthcare using Blockchain and Machine Learning | International Journal of Early Childhood Special Education (INT-JECSE) | Vol 14(5), 2022, p.1536-1545 | ISSN: 1308-5581 | DOI: 10.9756/INTJECSE/V1415.155 |
| 18 | Dr. A. Anjaiah, K. Krishna Chaitanya, NVLN Ramakrishna, Thota Bhavani | Prediction of Graduate Admission using Machine Learning | International Journal of Early Childhood Special Education (INT-JECSE) | Vol. 14, 2022, p.1583-1590 | E-ISSN: 1308-5581 | DOI: 10.9756/INTJECSE/V1415.160 |
| 19 | Mrs. G. Sudha Reddy, S. Lavanya, Shaik Subhani Siddiqua, K. Sai Manikanta, B. Dileep Kumar | Missing Children Identification using Deep Learning | International Journal of Early Childhood Special Education (INT-JECSE) | Vol. 14, 2022, p.1591-1603 | E-ISSN: 1308-5581 | DOI: 10.9756/INTJECSE/V1415.161 |
| 20 | Mr. Gangi Reddy Prabhakar, Kalpana Kumari, Nayini Sai Chethan Reddy, Keerthi Tejaswini, M. Sai Kumar | Pandemic Impact of Financial Prediction using Hierarchical Cluster Analysis and Boosted Random Forest | International Journal of Early Childhood Special Education (INT-JECSE) | Vol. 14, 2022, p.1401-1408 | E-ISSN: 1308-5581 | DOI: 10.9756/INTJECSE/V1415.138 |
| 21 | V. Reshma, Chatla Deekshitha, Gangarapu Keerthi, Buddala Anitha Joy, Kanukuntla Chakravarthy | Behavior Analysis For Mentally Affected People Through Face Emotion Detection | International Journal of Early Childhood Special Education (INT-JECSE) | Vol. 14, 2022, p.1418–1426 | E-ISSN: 1308-5581 | DOI: 10.9756/INTJECSE/V1416.140 |
| 22 | Dr. Amjan Shaik, Karthi Rayala, Ravi Rahul Kosuru, Divya Solanke | Agriculture-Crop Recommendation System based on Productivity and Season | International Journal of Early Childhood Special Education (INT-JECSE) | Vol. 14, 2022, p.1409–1417 | E-ISSN: 1308-5581 | DOI: 10.9756/INTJECSE/V1416.139 |
| 23 | Mr. Siva Prasad, Sirikonda Mounika, Mula Vaishnavi, Mosalakanti Krishna Vamsi, Ure Shrujipachava Damodhar | Drug Recommended System based on Sentimental Analysis of Drug Reviews using Machine Learning | International Journal of Early Childhood Special Education (INT-JECSE) | Vol. 14, 2022, p.1427–1443 | E-ISSN: 1308-5581 | DOI: 10.9756/INTJECSE/V1416.141 |
| 24 | Dr. Anjaiah Adepu, Lakshmi Manaswini, Gade Sindhuja, Bavikadi Hemant h Maddie | Hand Gesture Recognition Using Media Pipe and Convolutional Neural Network | International Journal of Early Childhood Special Education (INT-JECSE) | Vol. 14, 2022, p.1341–1351 | E-ISSN: 1308-5581 | DOI: 10.9756/INTJECSE/V1416.133 |
| 25 | Amandeep Kaur, Ananth Akash G, Divya Methari Rajesh, Mantha Avinash | Detecting Fake News with Python and Machine Learning Approaches (Based on Text) | NeuroQuantology | Vol. 20(9), 2022, p.805–813 | ISSN: 1303-5150 | DOI: 10.14704/nq.2022.20.7.NQ33101 |
| 26 | Amjan Shaik, Ayush Jain, Suryaprakash Reddy, Gunnala Tarunath, Raja Shekar | AI & COVID-19: Deep Learning Approaches for 820 Diagnosis and Treatment | NeuroQuantology | Vol. 20(9), 2022, p.820–827 | ISSN: 1303-5150 | DOI: 10.14704/nq.2022.20.7.NQ33103 |
| 27 | Dr. Anjaiah Adepu, Nuthula Swetha, Gaggara Pavan Kumar, Bandlamudi Sandeep, Akula SaiPrasad | Classification Algorithms based Mental Health Prediction using Data Mining | NeuroQuantology | Vol. 20(9), 2022, p.828–833 | ISSN: 1303-5150 | 10.14704/nq.2022.20.7.NQ33104 |
| 28 | Mr. Gangereddy Prabhakar Reddy, Dubattiva Vaishali, Chandupatla Sandeep, Yendamuri Gokulesh, Waghmare Mahipal | Suspicious Activity Detection | NeuroQuantology | Vol. 20(9), 2022, p.834–840 | ISSN: 1303-5150 | 10.14704/nq.2022.20.7.NQ33105 |
| 29 | D. Harith Reddy, Thummaiahgari Pranay, Waldodde Sakshi, Cheekutthi Adithya, Devuuri Aravind | Remote Health Monitoring System For Indian Based Scenario Using IOT | NeuroQuantology | Vol. 20(9), 2022, p.841–848 | ISSN: 1303-5150 | 10.14704/nq.2022.20.7.NQ33106 |
| 30 | Dr. A. Anjaiah, V. Sravya, E. Vikas Reddy, K. Vidya, B. V. R. Ankit | Health Disease Prediction based on Symptoms using Machine Learning | NeuroQuantology | Vol. 20(9), 2022, p.849–856 | ISSN: 1303-5150 | 10.14704/nq.2022.20.7.NQ33107 |
| 31 | Amandeep, Sabbithi Keerthi, Alladi Divya, Velluri Sudheer, Bandari Subhash | Life Style Disease Prediction | NeuroQuantology | Vol. 20(9), 2022, p.857–862 | ISSN: 1303-5150 | 10.14704/nq.2022.20.7.NQ33108 |
| 32 | Amjan Shaik, Ganduri Sameer, Medarametla Pratima Chowdary, Majji Tarun, Erugu Sai Praneeth | DNA ANALYSIS TO PREDICT GENETIC DISEASES USING AI AND ML | NeuroQuantology | Vol. 20(9), 2022, p.863–869 | ISSN: 1303-5150 | DOI: 10.14704/nq.2022.20.7.NQ33109 |
| 33 | Dr. Anjaiah Adepu, Aanchal Jain, Beathnabotla, Girish Naidu B, Gopu Rishitha | Heart Failure Detection using Sound Signals | NeuroQuantology | Vol. 20 (9), 2022 p. 870 - 878 | ISSN: 1303-5150 | DOI: 10.14704/nq.2022.20.7.NQ33110 |
Content for Tab 3
This is the third tab’s content.
Department Assessment Committee
Online Content Development
Program Curriculum
Projects
E-Resources
Roll of Honour
Academic Year: 2023
Academic Year: 2022
Academic Year: 2021
Academic Year: 2020
Academic Year: 2019
Academic Year: 2018
OBE
CO - PO Mapping A.Y-2022-23
CO - PO Mapping A.Y-2021-22
CO - PO Mapping A.Y-2020-21
CO - PO Mapping A.Y-2019-20
CO - PO Mapping A.Y-2018-19
Newsletter
Overview and Program Outcomes
The Department of Computer Science and Engineering (CSE) at the SPEC was established in 2007, offers Undergraduate Program – B.Tech in CSE with an initial intake of 60 students and the intake was subsequently increased to 90 students in the year 2009, 180 students in the year 2012, 360 students in the year 2023 and 420 students in the year 2024. Department of CSE was Accredited by NBA in the year 2016, 2019 and 2022 (Under Tier-II), valid up to Academic Year: 2024-25.
The faculty in the department is highly skilled and knowledgeable. The faculty’s diverse backgrounds in computer science and engineering allow them to transmit their skills in a wide range of UG program courses. The department’s teaching methodology meets the demands of the modern industry in addition to meeting the university’s syllabus standards. Teachers encourage and mentor students to complete little projects in foundational courses. The development of soft skills and communication will receive particular attention. To improve students’ practical expertise, the department maintains close ties with many sectors.
Encouragement in the department to take up Research projects and also to cater to the needs of faculty, who are doing their Research work. The focus areas of the department for R & D activities identified are Knowledge Engineering Research, Networking and High Performance Computing. The department of CSE also has the collaborations with the premier industries like MICROSOFT and has established their excellence centres in the department.
Students participate in academic research projects as well. The department’s faculty has papers published in a number of reputable journals and conferences. In order to create Industry-Institution Interaction, MOUs are signed with industries in the Hyderabad, Bangalore, and Chennai areas. This interaction is used to organise industrial visits, take on real-world projects, and provide staff and students with training and internship opportunities. Over the last three years, the student’s success rate has exceeded 90%. The department’s laboratories are all well-equipped with sophisticated configuration technologies and are set up in a large manner. The student-to-computer ratio is kept at 1:3. In every lab, new experiments are being carried out to help the students gain more real-world experience. A library is operating in the department to expand reference services to the faculty and students in addition to the Central Library.
Vision
To be a global leader in Computer Science Education, Research and Development, Innovation through industry collaboration and cultivating future-ready technologists.
Mission
DM1: Cultivate experiential learning through state-of-the-art technologies and algorithms to address real-world interdisciplinary challenges.
DM2: Collaborate with industry and academia to equip students with cutting-edge skills and prepare them for dynamic careers.
DM3: Strengthen theoretical and applied research in Computer Science & Engineering, fostering innovation, impactful contributions, and instilling ethical values and social responsibility in all endeavors.
Program Educational Objectives
PEO 1: Innovate and contribute to research, driving technological advancements in industry and society.
PEO 2: Excel as leaders in software development, ensuring industry and government excellence.
PEO 3: Lead entrepreneurial ventures, fostering growth in computer science-driven technologies at national and global levels.
Program Outcomes
PO: 1 ENGINEERING KNOWLEDGE: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
PO: 2 PROBLEM ANALYSIS: Identity, formulate, research literature, and analyze complex engineering problems reaching substantiated conclusions using the first principles of mathematics, natural sciences, and engineering sciences.
PO: 3 DESIGN/DEVELOPMENT OF SOLUTIONS: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for public health and safety, and cultural, societal, and environmental considerations.
PO: 4 CONDUCT INVESTIGATIONS OF COMPLEX PROBLEMS: Use research-based knowledge and research methods including design of experiments, analysis, and interpretation of data, and synthesis of the information to provide valid conclusions.
PO: 5 MODERN TOOL USAGE: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
PO: 6 THE ENGINEER AND SOCIETY: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
PO: 7 ENVIRONMENT AND SUSTAINABILITY: Understand the impact of professional engineering solutions in societal and environmental contexts, demonstrate the knowledge of, and need for sustainable development.
PO: 8 ETHICS: Apply ethical principles and commit to professional ethics, responsibilities, and norms of the engineering practice.
PO: 9 INDIVIDUAL AND TEAM WORK: Function effectively as an individual, and as a member or leader in diverse teams, and multidisciplinary settings.
PO: 10 COMMUNICATION: Communicate effectively on complex engineering activities with the engineering community and with society, such as being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
PO: 11 PROJECT MANAGEMENT AND FINANCE: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
PO: 12 LIFE-LONG LEARNING: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.
Program Specific Outcomes
PSO-1 Design and develop computing subsystems for data storage, communication, information processing, and knowledge discovery.
PSO-2 Design algorithms for real-world problems, focusing on execution and complexity analysis while considering security, cost, quality, and privacy parameters in software development.
Under Graduate Program
| S.No | Program | Total Intake |
| 1 | Computer Science and Engineering (CSE) | 420 |
Program Curriculum
Faculty Details
Academic Facilities
E-Resources
Projects
R & D Activities
MOUs
| S.No | Academic Year | Number of MOUs | List |
|---|---|---|---|
| 1 | 2024-25 | 02 |
|
| 2 | 2023-24 | 04 |
|
| 3 | 2022-23 | 05 |
|
Roll of Honour
Achievements
Students Achievements
Activities
Faculty
Students
Placements
Newsletter
Computer Science and Engineering
Overview and Program Outcomes
The field of Computer Science and Engineering (CSE) has been pushing the envelope of almost all other disciplines, which use computing as a fundamental means of inquiry and tool for discovery. CSE offers exciting, intellectually challenging, and rapidly growing career opportunities. It is the least of where the action is, whether this means intelligent game playing, mobile applications, smart robots, cloud computing, data security, social networks, or bioinformatics. The fast-changing technological scenario poses to the institute, a challenge of continuously updating its curriculum and faculty, to be able to provide state-of-the-art education and technology to the students. Changes, both major and subtle, have been made by the department of CSE to be well-prepared for a better tomorrow. The department of CSE was established in 2007 with an intake of 60, enhanced to 120 in 2009 and further to 180 in the year 2012, besides an additional 36 seats under the lateral entry scheme.
Computer Science and Engineering have two primary processes:
- Computer Hardware Design which includes an understanding of Design Methodologies for Electronic circuits, digital systems, and computer architecture of integrated circuits.
- Computer software design which includes an understanding of design methodologies for programming, algorithms of data structures, operating systems, large-scale software development & the principles of computing as a wide variety of software applications across various computer languages.
The teaching-learning process is given at most priority in the pursuit of improving the quality of technical education. Innovative teaching aids and methodologies are used by the department toward this goal. The efficiency of the Teaching-Learning process is reflected in the consistently excellent results being achieved every year.
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 works, assignments, quiz programs, coding clubs, etc. The systematic and well-planned approach to problem-solving is emphasized in the classrooms and laboratories through course projects and additional computer training beyond the scope of the syllabus. Teaching aids such as LCD Projector, OHP, CD demos, equipment demonstrations, models, charts, etc are regularly used to enhance better understanding.
The department has modern laboratories and is also well-equipped with LCD projectors in each lab to serve the teaching and research needs of the student and faculty. All systems are connected to the department LAN through fiber optic which is a part of the Institute-wide area network.
The CSE department exclusively holds a Library for UG course. The department takes an active role in arranging expert lectures from Industry, Guest Lectures through eminent faculty from external colleges, and Industrial Visits for the benefit of students. Students are encouraged to take up Industry Oriented projects. The students are highly motivated towards research to build up various projects using upcoming technologies. Besides these students are also motivated to present papers in various publications, journals, seminars, etc.
The department organizes student counseling by the members of the faculty to monitor regularity and discipline among students. A disciplinary committee comprising the senior faculty is constituted for maintaining discipline and the dress code of the students. The department consists of a First and Second person under HOD to take care of the overall activity, discipline, etc of the department.
Vision and Mission
- To be a vibrant nodal center for Computer Science & Engineering Education, Research that makes the students contribute to technologies for IT, IT-Enabled Services; to involve in innovative research on thrust areas of industry and academia; to establish start-ups supporting major players in the industry.
- DM1: Emphasize project-based learning by employing state-of-art technologies, and algorithms in software development for the problems in interdisciplinary avenues.
- DM2: Involve stakeholders to make the students industry ready with training in skill-oriented computer application software.
- DM3: Facilitate learning the theoretical nuances of Computer Science, and Computer Engineering courses and motivate to carry out research in both core and applied areas of CSE.
PEO's , PO's and PSO's
- PEO 1: Graduates shall involve in research & development activities in industry and government arenas to conceive useful products for society.
- PEO 2: Graduates shall be entrepreneurs contributing to national development in the fields of Computer Science based technologies.
- PEO 3: Graduates shall be team leaders working for software development, and maintenance in the fields of the software industry and government agencies
- PO: 1 ENGINEERING KNOWLEDGE: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
- PO: 2 PROBLEM ANALYSIS: Identity, formulate, research literature, and analyze complex engineering problems reaching substantiated conclusions using the first principles of mathematics, natural sciences, and engineering sciences.
- PO: 3 DESIGN/DEVELOPMENT OF SOLUTIONS: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for public health and safety, and cultural, societal, and environmental considerations.
- PO: 4 CONDUCT INVESTIGATIONS OF COMPLEX PROBLEMS: Use research-based knowledge and research methods including design of experiments, analysis, and interpretation of data, and synthesis of the information to provide valid conclusions.
- PO: 5 MODERN TOOL USAGE: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
- PO: 6 THE ENGINEER AND SOCIETY: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
- PO: 7 ENVIRONMENT AND SUSTAINABILITY: Understand the impact of professional engineering solutions in societal and environmental contexts, demonstrate the knowledge of, and need for sustainable development.
- PO: 8 ETHICS: Apply ethical principles and commit to professional ethics, responsibilities, and norms of the engineering practice.
- PO: 9 INDIVIDUAL AND TEAM WORK: Function effectively as an individual, and as a member or leader in diverse teams, and multidisciplinary settings.
- PO: 10 COMMUNICATION: Communicate effectively on complex engineering activities with the engineering community and with society, such as being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
- PO: 11 PROJECT MANAGEMENT AND FINANCE: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
- PO: 12 LIFE-LONG LEARNING: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.
- PSO-1 Design and develop computing subsystems for data storage, communication, information processing, and knowledge discovery.
- PSO-2 Design algorithms for real-world problems focusing on execution, and complexity analysis considering the security, cost, quality, and privacy parameters in software development.
Faculty Details
Courses
Syllabus
E-Resources
Projects
Research and Development
Events
Academic Excellence
Infrastructure
Academic Facilities
OBE
CO - PO Mapping A.Y-2022-23
CO - PO Mapping A.Y-2021-22
CO - PO Mapping A.Y-2020-21
CO - PO Mapping A.Y-2019-20
CO - PO Mapping A.Y-2018-19
Newsletter
Supportive Faculty & Industry Exposure
“The faculty at St. Peter’s Engineering College is incredibly supportive, guiding us not only in academics but also in career planning. Regular industry interactions, workshops, and internships helped me gain real-world experience and prepare for my future.”
Vibrant Campus Life & Extracurricular Activities
“Beyond academics, St. Peter’s Engineering College offers a vibrant campus life. From technical fests to cultural events, every student gets a chance to showcase their talents. The college truly believes in all-round development.”
Excellence in Academics & Infrastructure
“St. Peter’s Engineering College provides the perfect blend of academic excellence and state-of-the-art infrastructure. The faculty is highly knowledgeable, always encouraging students to explore beyond textbooks. The campus facilities, from well-equipped labs to a vast library, make learning an enjoyable experience.”
