B.Tech in Computer Science and Business Systems (CSBS) programme is offered in association with TCS from the Academic Year 2020-21 with an intake of 60. Computer Science and Business Systems is an Industry relevant Computer Science Programme launched by TCS. To address the growing need of engineering talent with skills in digital technology, TCS, in partnership with GPREC, has designed a curriculum for 4 years undergraduate program on Computer Science titled “Computer Science and Business Systems (CSB).
This curriculum aims to ensure that the students graduating from the program not only know the core topics of Computer Science but also develop an equal appreciation of humanities, management sciences and human values. The students are also exposed to emerging topics such as Analytics, Machine Learning, Cloud Computing, Internet of Things etc to make them industry ready at the end of four years of study.
The course focuses on enhancing the following key attributes among graduating students:
- Understanding of Contemporary Technology
- Understanding of Technology Abstraction
- Knowledge of Common Business Principles
- Business Discipline and Service Orientation
- Innovation Ability
- Strong in Ethics and Life Values
About Computer Science and Business Systems (CSB) : ClickHere Click Here Click Here
NEWS LETTER (CSB) : 2025 2024(Jan-June) 2024(July-Dec) 2023(Jan-June) 2023(July-Dec) 2022
Magazine (CSB) : ClickHere Click Here Click Here
Vision:
The department aims to become a leader in the field of education, training and research in emerging technologies of computer science with managerial skills and social values.
Mission:
M1: To facilitate competent Industry Relevant Education through Teaching Learning process.
M2: To inculcate interest on Research and Innovation through critical thinking.
M3: To impart values and ethics for prospective and promising engineering.
Program Outcomes:
Engineering Graduates will be able to:
- Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
- Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
- 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 the public health and safety, and the cultural, societal, and environmental considerations.
- 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.
- 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.
- 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.
- Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
- Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
- Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
- Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
- Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
- 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:
PSO1: Design, Identify and Apply Computing techniques and resources for solving real time engineering problems.
PSO2: Identify and Understand financial, global and ethical aspects of business.
PSO3: Understand technical, managerial and decision making skills in emerging technologies of Computer Science and Business Systems.
Program Educational Objectives:
Students will be able to
The Program Educational Objectives (PEOs) of the under graduate programme in Computer Science & Business systems(CSBS) at G. Pulla Reddy Engineering College (Autonomous) Kurnool are to prepare graduates to possess the ability to
PEO1: Analyze, Design and Develop computer based systems and applications using emerging areas of Computer Science and Business systems.
PEO2: Be engineering professionals, innovators, entrepreneurs engaged in their profession with social awareness and ethical values.
PEO3: Work in teams in multi-disciplinary areas to address the needs of society.
PEO4: Adapt to emerging technologies by engaging themselves in lifelong learning.
PROGRAM: B.Tech (CSBS)
INTAKE:60
Faculty Profiles
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GUEST Faculty
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CSM(AI&ML) – Non Teaching Staff – Click Here
G. Pulla Reddy Engineering College (Autonomous) :: Kurnool
Proceedings of the Chairman, Joint Boards of Studies
Constitution of Board of Studies in Computer Science & Engineering (AI & ML)
Date: 12.04.2025
The Board of Studies for Computer Science & Engineering (Artificial Intelligence & Machine Learning) has been newly constituted with the following members. The tenure of the board is three years.
| Sl. No. | External Member | Internal Member |
|---|---|---|
| 1 | Dr. R. Rajasekhar Professor, Dept. of Computer Science & Engineering JNTUA University, Ananthapuramu-515002 Phone: 9966660226 Email: drasharaj2002.cse@jntua.ac.in Nominated by JNTUA |
Dr. R. Praveen Sam HoD ECS & Chairman, BoS G.P.R. Engineering College, Kurnool |
| 2 | Dr. K. Sathya Babu Associate Professor, Dept. of CSE IIITDM Kurnool Email: ksb@iiitk.ac.in Phone: 8249892662 Nominated by Academic Council |
Dr. K. Govardhan Reddy Professor of ECS G.P.R. Engineering College, Kurnool |
| 3 | Dr. Tripti Swarnkar Professor in Computer Science NIT Raipur, Chhattisgarh – 492010 Email: tswarnkar.mca@nitrr.ac.in Phone: 9437130794 Nominated by Academic Council |
Dr. Y. Rama Mohan Associate Professor of ECS G.P.R. Engineering College, Kurnool |
| 4 | Mr. Vijaya Kumar Buntupalli Director, Release Management Kore.ai Software Pvt. Ltd., Hyderabad – 500081 Phone: 9886087527 Email: vijayakumar.buntu@kore.ai |
Dr. A. Vishnuvardhan Reddy Associate Professor of ECS G.P.R. Engineering College, Kurnool |
| 5 | Dr. R. P. Jagadeesh Chandra Bose Chief Data Scientist, Skan.AI, Bangalore Phone: 9538445353 Email: jcbose@gmail.com |
Dr. G. Raghu Ram Associate Professor of ECS G.P.R. Engineering College, Kurnool |
| 6 | Sri. K. Srikanth Associate Professor of ECS G.P.R. Engineering College, Kurnool |
Joint Boards of Studies
PROGRAM: B.Tech (CSBS)
SYLLABUS FOR I B.TECH : Scheme-2020 Scheme-2023
SYLLABUS FOR II, III, IV B.TECH : Scheme-2020
SYLLABUS FOR II B.TECH : Scheme-2023
SYLLABUS FOR III,IV Year B.TECH : Scheme-2023
HONOR DEGREE
SYLLABUS FOR HONOR DEGREE IN CSBS : Scheme-2020 Scheme-2023
MINOR DEGREE
SYLLABUS FOR MINOR DEGREE IN DATA SCIENCE ( Non CSE Students) : Scheme-2020
Minor And Honors Programmes Equivalent Moocs Courses: Scheme-2020
ACADEMIC REGULATIONS FOR UG (B.Tech): Scheme-2020(Revised) Scheme-2023-Regulations(with-amendments-as-directed-by-JNTUA)
The department has the following student forums: the IEEE Computational Intelligence Society and Business Wizards. Through these forums, the department conducts various academic and technical activities to enhance students’ knowledge, creativity, and professional skills. These activities include seminars, group discussions, coding contests, technical quizzes, paper presentations, and poster presentations. In addition, students actively participate in hackathons, mock interviews, guest lectures on emerging technologies, and app challenges, which help them develop problem-solving abilities, technical expertise, and industry readiness.
CSI Events for the Academic Year 2025-2026 Click Here
CSI Events for the Academic Year 2024-2025 Click Here
IEI Events for the Academic Year 2025-2026 Click Here
IEI Events for the Academic Year 2024-2025 Click Here
IEEE Events for the Academic Year 2025-2026 Click Here
IEEE Events for the Academic Year 2024-2025 Click Here
IEEE Events for the Academic Year 2023-2024 Click Here
IEEE Events for the Academic Year 2022-2023 Click Here
Computer Science and Business Systems Department helps its students to enrich their abilities by encouraging critical thinking through programming skills. The department has well equipped laboratories to train students in order to advance their theoretical knowledge and sound practices of the profession.
CSM Lab1:
Equipped with latest configured DESKTOP PC’s ( Lenovo Think Center Neo 50S – i5 12th Generation processors ) with licensed softwares that enables the students to program in C, C++, and JAVA etc.
CSMLab2:
Equipped with latest configured DESKTOP PC’s ( Lenovo Think Center Neo 50S – i5 12th Generation processors ) with licensed softwares that enables the students to program in DBMS, Machine Learning and Data Mining etc.
CSM Lab3:
Equipped with latest configured DESKTOP PC’s ( Lenovo Think Center Neo 50S – i5 12th Generation processors ) with licensed softwares that enables the students to program in DBMS, Machine Learning and Data Mining etc.
CSM Lab4:
Equipped with latest configured DESKTOP PC’s ( Lenovo Think Center Neo 50S – i5 12th Generation processors ) with licensed softwares that enables the students to program in DBMS, Machine Learning and Data Mining etc.
CSM Lab5:
Equipped with latest configured DESKTOP PC’s ( Lenovo Think Center Neo 50S – i5 12th Generation processors ) with licensed softwares that enables the students to program in DBMS, Machine Learning and Data Mining etc.
CSM Lab6(Intel Unnati Lab):
Equipped with latest configured DESKTOP PC’s ( Lenovo Think Center Neo 50S – i5 12th Generation processors ) with licensed softwares that enables the students to program in DBMS, Machine Learning and Data Mining etc.
CSM Lab7:
Equipped with latest configured DESKTOP PC’s ( Lenovo Think Center Neo 50S – i5 12th Generation processors ) with licensed softwares that enables the students to program in DBMS, Machine Learning and Data Mining etc.
CSM Lab8:
Equipped with latest configured DESKTOP PC’s ( Lenovo Think Center Neo 50S – i5 12th Generation processors ) with licensed softwares that enables the students to program in DBMS, Machine Learning and Data Mining etc.
Faculty Achievements Click Here
Student Achievements Click Here
Subject Materials :
| S.No | Subject Name | Developed By |
| 1. | Formal Language and Automata Theory | Dr. K.Ashfaq |
| 2. | Business Strategy | G.Alekhya |
| 3. | MR& MM Branding | G.Alekhya |
| 4. | Introduction to AI | V.Suresh |
| 5. | Software Engineering | O.Sirisha |
| 6. | Computer Organization and Architecture | S.Shabana Begum |
| 7. | Digital Logic Design | S.Shabana Begum |
Industry Interaction
Areas of possible cooperation to explore interactive avenues between academics and industry has led to mutually beneficial results. The academics without industries and its support is incomplete. Therefore the faculty members continuously interact with industries and dig out areas of cooperation so that the institute derives mileage in terms of projects, expert lectures and training programs for its students. The industry from this interaction is also benefited for getting support and expertise for testing, training and R&D related activities.
1. Wipro – Click Here
2. Infosys – Click Here
3. EPAM- Click Here
Innovative learning is the process of creating an atmosphere where students learn about new things regularly, question them, and think of new ideas on their own. It can also facilitate group explorations that can help in developing skills like learning from others, growing, and developing harmony amongst themselves, which will later help them in the future while managing a huge team as a Creative Leader. Teachers build the spirit and nature of the room. Innovative teaching ideas, which support learning, questioning, exploring, and taking risks, form the foundation of innovative education.
CodeTantra- Click Here
Innovation Teaching Methodologies – Click Here