Department of Artificial Intelligence and Data Science
Overview
B.Tech in Artificial Intelligence and Data Science
Artificial intelligence (AI) is the process of creating machines to think like humans. AI is a term used to describe the simulation of human intelligence processes in machines. It typically involves sophisticated algorithms that enable computers to perform tasks that normally require human intelligence, such as visual perception, speech recognition and decision making etc,.
Data Science is a field of knowledge which applies advanced statistical and mathematical techniques to large datasets in order to extract knowledge from them. This data can be structured like a spreadsheet but can also be unstructured like text or video data. Data science is the application of techniques from statistics, mathematics, computer programming and other fields to solve real-world problems using information technology.
Due to the exploration of the Internet, AI and DS deliver data-driven solutions using computational principles, methods, and systems for extracting information from data and modern computational systems that reveal capabilities of insight, way of thinking, learning, and action that are typical of human intelligence.
B.Tech Artificial Intelligence and Data Science ( AIDS ) has emerged as one of the most high-growth, dynamic, and lucrative careers in technology, Since 2015. This course aims at providing not only the core technologies such as artificial intelligence, data mining, and data modeling but also gives intensive inputs in areas of machine learning and big data analytics. Through this course, the students will gain cross-disciplinary skills across fields such as statistics, computer science, machine learning, and logic, data scientists and may have career opportunities in healthcare, business, e-commerce, social networking companies, climatology, biotechnology, genetics, and other important areas. The major focus of this programme is to equip students with statistical, mathematical reasoning, machine learning, knowledge discovery, and visualization skills.
B.Tech Artificial Intelligence and Data Science ( AIDS ) is a specialized branch that deals with the core principles and ethical issues in Data Science and Artificial Intelligence and motivates students to explore the cutting-edge applications related to Big Data, Neural Networks, and Deep Learning. Applications like Alexa / Siri, Erica / Sophia, Tesla’s driverless car, Chat-bot, etc. are becoming common. AI-powered Robots can take over human life-endangering jobs like firefighting, deep-sea oil drilling, mining works with high mortality rates, etc.
The Career Opportunity for AIDS graduates at various sectors such as Manufacturing, Software, Research, Education, Defense, Banking & Finance, e-Commerce, transport and Health Science are as follows
• Software Engineer
• Software Tester
• Application Developer
• Information and Multimedia Designer
• Medical Information Scientist
• Technology Developer
• IT Specialist
• Technical Consultant
• Quality Analyst
• Information Network Manager
• Data Quality Analyst
Programme
Duration:
4 years (Regular) / 3 years (Lateral Entry)
No. of Semesters:
8 (Regular) / 6 (Lateral Entry)
Intake / No. of Seats:
Total - 30 (Government - 15, Management - 15)
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 for transforming students into proficient Artificial Intelligence and Data Science using through sustainable practices.
Mission
M1. Impart core fundamental knowledge and necessary skills in Artificial Intelligence and Data Science through innovative teaching and learning methodology.
M2. Inculcate critical thinking, ethics, lifelong learning and creativity needed for industry and society.
M3. Cultivate the students with all-round competencies, for career, higher education and self-employability.
Programme Educational Objectives (PEOs)
PEO1. | Graduates will be prepared for analysing, designing, developing and testing the software solutions and products with creativity and sustainability |
PEO2. | Graduates will be skilled in the use of modern tools for critical problem solving and analyzing industrial and societal requirements |
PEO3. | Graduates will be prepared with managerial and leadership skills for career and starting up own firms |
Program Specific Outcomes (PSOs)
Engineering Graduates will be able to
PSO1. | Develop creative solutions by adapting emerging technologies / tools for real time applications of Industry |
PSO1. | Apply the acquired knowledge to develop software solutions and innovative mobile apps for various automation applications |
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 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. |
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 Sustain ability: 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 multi disciplinary 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 multi disciplinary 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. |
Programme
Duration:
4 years (Regular) / 3 years (Lateral Entry)
No. of Semesters:
8 (Regular) / 6 (Lateral Entry)
Intake / No. of Seats:
Total - 30 (Government - 15, Management - 15)
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
Faculty
Name | Qualification | Designation | Area of Specialization |
Dr. NAGASUBRAMANIAN R |
M.E.,Ph.D., | Head - PG | Computer Science Engineering |
Dr. SUBRAMANIAN P |
M.E.,Ph.D., | Head - UG | Wireless Sensor Networking and Image Processing |
Dr. PREMALATHA G |
M.E.,Ph.D., | Associate Professor | Image Processing and Machine Learning |
Mrs. SARANYA V |
M.Tech.,(Ph.D) | Assistant Professor | IOT and Cloud Computing |
Mrs. SASIKALA L |
M.E | Assistant Professor | Computer Science and Engineering |
Mrs. KIRUTHIKA S |
M.E | Assistant Professor | Computer Science and Engineering |
Mrs. ASRIN MAHMOOTHA A |
M.E | Assistant Professor | Computer Science Engineering |
Mr. PRAVEENKUMAR P |
M.E | Assistant Professor | Computer Science Engineering |
Mr. RAJAKUMAR B |
M.Tech.,(Ph.D) | Assistant Professor | IOT, AI, NLP and Image Processing |
Mr. RAJASEKAR R |
M.E.,(Ph.D) | Assistant Professor | IOT, Network Security |
Sl.No | Name of the Lab | Facility Available | Courses Offered | Virtual Link / ICT Tools | Soft copy of Lab Record |
---|---|---|---|---|---|
1 | C Programming Lab | View Details | CS8261 - C Programming | View | Download |
2 | Internet Programming Lab | View Details | CS8661 - Internet Programming | View | Download |
3 | Operating Systems Lab | View Details | CS8461 - Operating Systems | View | Download |
4 | Object Oriented Analysis and Design Lab | View Details | CS8461 - Object Oriented Analysis and Design | View | Download |
5 | Web Technology Lab | View Details | IT8511 - Web Technology | View | Download |
6 | Networks Lab | View Details | CS8581 Networks Lab | View | Download |
Academics
Anna university Syllabus
BE - 2021 Syllabus |
Course Materials
S.No. | Subject Code | Subject Name | Lesson Plan | Question Bank | Lecture Notes | ICT Tools | |
---|---|---|---|---|---|---|---|
1 | MA3354 | Discrete Mathematics | View | View | View | View | |
2 | CS3351 | Digital Principles and Computer Organization | View | View | View | View | |
3 | AD3391 | Database Design and Management | View | View | View | View | |
4 | AD3351 | Design and Analysis of Algorithms | View | View | View | View | |
5 | AD3301 | Data Exploration and Visualization | View | View | View | View | |
6 | AL3391 | Artificial Intelligence | View | View | View | View | |
7 | AD3381 | Database Design and Management Laboratory | View | View | View | View | |
8 | AD3311 | Artificial Intelligence Laboratory | View | View | View | View | |
9 | GE3361 | Professional Development | View | View | View | View |