Department of Computer Science and Business Systems
Overview
Computer Science and Business System (CSBS) is one of the popular courses among engineering aspirants which mainly focuses on computation, analysis of algorithms, programming languages, program design, software engineering, computer hardware, computer networks and problem solving skills. This program has roots in electrical, electronics and communication engineering, mathematics, and linguistics. Students study the design, development and analysis of software and hardware used to solve problems for various business, scientific and social contexts. Since computers solve most of the complex problems in a simplified way, it provides the sophistication to the world and touches the human lives in all the aspects such as education, transportation, entertainment, banking, mass communication, social media, hospital management, businesses, supply chain management, etc. Computer Science and Business System is inherently a interdisciplinary subject, it link to the disciplines including psychology, biology, mathematics, physics, education, art and music with the subjects of bioinformatics, electronics, operations research, theory of computation, help students to understand how Computer Science and Business System fits in to a wide range of domains in the world.
This program prepares the students for career as Software Developers, Hardware Engineers, System Designer, System Analyst and Architect, Networking Engineers and Administrators, Database Administrator, web developers, Project Team Associate and Leaders etc. This program enable the students to acquire multidimensional approach of computing knowledge and understanding the problems to solve deep, imagination and sensitivity to a variety of concerns. The courses such as computer graphics, artificial intelligence, human computer interaction, robotics, database management, web technology, network security, grid and cloud computing and cyber security are applied to analyze and design the solutions to the real time complex problems such as development of computer models and software to improve education, 3D graphics to visualize historical artifacts, developing, understanding natural language, analyzing medical images, using computers to produce art, and developing algorithms to support advanced network technologies.
Department of Computer Science and Business Systems offers B.Tech computer Science and Business systems empower the students to convert future challenges into thriving opportunities. The Department was started in 2022. It is a well-organized department and the UG students are well motivated towards excellence. The department has well established laboratories for UG students. The Software laboratories are well maintained and conditioned powered by DELL and Pentium systems of latest configuration and 24 hours Internet facility. The Internet (50 Mbps) and laboratory facilities are available for staff members and students round the clock. All the laboratories are well equipped with many modern facilities/utilities. It offers a conducive learning and research environment with the aim of transforming the life style of students with quality education and higher-level career settlement.
Programme
Duration:
4 years (Regular) / 3 years (Lateral Entry)
No. of Semesters:
8 (Regular) / 6 (Lateral Entry)
Intake / No. of Seats:
Total - 60 (Government - 30, Management - 30)
Eligibility:
10+2 system of Education. Must have secured a pass in Physics, Chemistry and Mathematics in the qualifying examination.
For more information Click here
VISION
To be a centre of excellence in Computer Science and Management to develop the skilled Engineers, Managers and Entrepreneurs with morals and societal responsibilities
MISSION
i. To impart technical and Managerial knowledge through innovative teaching-learning process
ii. To inculcate the research interest among the faculty and students to instill innovation
iii. To produce engineers with managerial and entrepreneur skills to suit the industries
iv. To produce skilled engineers with ethics and social responsibilities
Programme Educational Objectives (PEOs)
PEO1. | Technical Adeptness: | To apply the knowledge of computer science and Business principles to develop computationally intelligent solutions for global business needs. |
PEO2. | Research and Entrepreneurship: | To enable graduates to pursue research, or have a successful career in academia or industries associated with Computer Science and Engineering, or as entrepreneurs. |
PEO3. | Interpersonal Skills: | To produce highly qualified graduates who excel in professional careers and pursue higher education with the necessary requirements. |
PEO4. | Awareness of Social Impact: | To ensure that the graduates will work with professionalism and ethics by contributing to the advancement of the society. |
Program Specific Outcomes (PSOs)
PSO1. | Ability to create innovative software professionals with the emerging technologies and service orientations. |
PSO2. | Develop and automate business solutions using cutting-edge technology by exhibiting design and programming expertise. |
PSO3. | Ability to design and implement industry demand professionals with business principles aligned with equivalent knowledge in humanities and business systems |
Programme Outcomes (PO)
PO1. | Engineering knowledge: | Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems. |
PO2. | 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. |
PO3. | 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. |
PO4. | Conduct investigation of complex problem: | 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. |
PO5. | 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. |
PO6. | 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. |
PO7. | 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. |
PO8. | Ethics: | Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice. |
PO9. | Individual and team work: | Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings. |
PO10. | 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. |
PO11. | 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. |
PO12. | 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. |
Department Facilities
Description | No of Rooms | Total Area (m2) |
---|---|---|
Class Rooms | UG - 6, PG - 2 | 472.25 |
Faculty Rooms | HOD - 1, Faculty - 2 | 112.8 |
Seminar Hall | 1 | 150.35 |
Department Library | 1 | 40.80 |
R & D Cell | 1 | 58.20 |
Laboratories | 8 | 412.50 |
PG & R&D Laboratory
NO OF TERMINALS | 29 | 1 |
PROCESSOR | CORE I5 | Core 2 Quad |
PROCESSOR SPEED | 6.4 GHz | 4.6Ghz |
RAM | 8 GB | 2 GB |
HARD DISK | 500 GB | 250 GB |
MOTHER BOARD | DELL | DELL |
Linux & Unix Laboratory
XEON SERVER |
CORE 2 DUO |
||
No of Terminal : 1 |
No of Terminal : 30 |
||
PROCESSOR | INTEL XEON | PROCESSOR | CORE 2 DUO |
PROCESSOR SPEED | 2.67 GHz | PROCESSOR SPEED | 2.67 GHz |
RAM | 2 GB | RAM | 1 GB |
HARD DISK | 260 GB | HARD DISK | 160 GB |
MOTHER BOARD | INTEL | MOTHER BOARD | INTEL |
System Software Laboratory
CORE 2 DUO |
|
No of Terminal : 30 |
|
PROCESSOR | CORE 2 DUO |
PROCESSOR SPEED | 2.67 GHz |
RAM | 1 GB |
HARD DISK | 160 GB |
MOTHER BOARD | INTEL |
DBMS Laboratory
PROCESSOR | Core 2 Duo Processor |
PROCESSOR SPEED | 3 GHz |
RAM | 2 GB |
HARD DISK | 160 GB |
MOTHER BOARD | INTEL |
Case Tools Laboratory
CORE 2 Duo |
CORE 2 QUAD |
||
No of Terminal : 11 |
No of Terminal : 24 |
||
PROCESSOR | CORE 2 Duo | PROCESSOR | CORE 2 QUAD |
PROCESSOR SPEED | 2.4 GHz | PROCESSOR SPEED | 2.2 GHz |
RAM | 2 GB | RAM | 2 GB |
HARD DISK | 160 GB | HARD DISK | 250 GB |
MOTHER BOARD | INTEL | MOTHER BOARD | DELL |
Faculty
Name | Qualification | Designation | Date of Joining | Nature of Association (Regular / Contract / Adjunct) |
Dr. B. Rasina Begum |
M.E.,M.B.A.,Ph.D | HOD & Associate Professor | 22/09/2002 | Regular |
Ms. C. Indra Devi |
M.E., | Assistant Professor | 11/06/2024 | Regular |
Ms. G. Thiviya Bharathi |
M.E., | Assistant Professor | 31/01/2023 | Regular |
Ms. M. Bargana |
M.E., | Assistant Professor | 20/01/2023 | Regular |
Mr. M. Nishanth |
M.E., | Assistant Professor | 10/10/2023 | Regular |
Ms. P. Lavanya |
M.E., | Assistant Professor | 12/06/2024 | Regular |
Academics
Semester III
Subject Code | Subject Name | Lesson Plan | Question Bank | Lecture Notes | ICT Tools |
Discrete Mathematics | |||||
Digital Principles and Computer Organization | |||||
Fundamentals of Economics | |||||
Object Oriented Programming | |||||
Design and Analysis of Algorithms | |||||
Fundamentals of Data Science and Analytics |
Semester IV
Subject Code | Subject Name | Lesson Plan | Question Bank | Lecture Notes | ICT Tools |
Probability and Statistics | |||||
Machine Learning | |||||
Operating Systems | |||||
Database Management Systems | |||||
Introduction to Business Systems | |||||
Environmental Sciences and Sustainability |
Semester V
Subject Code | Subject Name | Lesson Plan | Question Bank | Lecture Notes | ICT Tools |
Cloud Computing | |||||
Embedded Systems and IoT | |||||
Data and Information Security | |||||
Big data Analytics | |||||
Fundamentals of Management |