Computer Science And Business Systems
To address the growing need of engineering talent with skills in digital technology, TCS, in partnership with leading academicians across India, has designed a curriculum for 4 years undergraduate program on Computer Science titled “Computer Science and Business Systems (CSBS) 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
Programme offered by the Department:
(B.Tech) in Computer Science and Business Systems(4 Year Full time course)
Vision:
To produce high quality, creative and ethical engineers and technologists contributing effectively for the ever advancing Artificial Intelligence and Data Science field.
Mission:
- To educate the future software engineers with strong fundamentals by continuously improving the teaching learning methodologies using contemporary aids.
- To create a knowledge hub of Artificial Intelligence and Data Science with everlasting urge to learn by developing, maintaining and continuously improving the resources/Data Science
- To produce ethical engineers / researchers by instilling the values of humility, humaneness, honesty and courage to serve the society.
Important topics to be covered
- Programming for Problem Solving
- Python Programming
- Machine Learning Techniques
- Deep Learning
- Robotic Process Automation
- Robotics
- Introduction to Data Science
- Data Visualization
- Natural Language Processing
- Geometric Modelling
- Internet of Things
- Augmented Reality & Virtual Reality etc…
Career opportunity after the course
- Business Analyst
- Data Analyst
- Intelligence Analyst
- Data Manager
- Information Security Analyst
- Data Scientist
- Artificial Intelligence Engineer
- Machine Learning Architect
Engineering Graduates will be able to:
Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems
Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
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.
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.
Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations.
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.
Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
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.
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.
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.
The Department of Information Technology has signed the following MOUs.(Memorandum of Understanding).
- Hyntech Business Solutions Pvt Limited.
- Phoenix Systems.
- Avancer Software Solutions Pvt. Ltd.
- Pyroferus Technologies.
- Enable graduates to design and harness the power of AI in broad application fields from vision to advanced autonomous systems.
- Address skills required by data scientists to drive improvements in organizational performance
- Examine large amounts of data to uncover hidden patterns, correlations, insights, and help organizations harness their data to identify new opportunities.
- Obtain expertise to turn actionable insights and cutting-edge technology into innovative products towards solving real-world problems.
- Inculcate independent research ability that addresses fundamental problems.
MRS A JEYANTHI
B.E., M.E., (Ph.D.) | Asso. Professor
Mrs. THENMOZHI R
B.E., M.E., (Ph.D.) | Asst. Professor
