Artificial Intelligence & Data Science
OVERVIEW
Artificial Intelligence and Data Science, as branches of engineering, blend methodologies from statistics, cognitive science, computing, and information science to extract insights from data. This knowledge drives intelligent business decisions by collecting, categorizing, strategizing, analyzing, and interpreting data. These fields specialize in developing data-driven solutions, data visualization tools, and techniques for handling big data, incorporating machine learning and deep learning to solve computational problems.
Suitable for those interested in creating intelligent business solutions, AI and Data Science offer lucrative career opportunities. Graduates can design and implement AI and DS-based software solutions, utilizing the latest tools and technologies to solve real-world problems. They acquire skills in data handling, knowledge extraction, and various application developments, contributing significantly to industries like manufacturing, e-commerce, finance, and healthcare.
Vision and Mission
- DM1: Emphasize project based learning by employing the state-of art technologies, algorithms in software development for the problems in Data science using AI.
- DM2: Involve stakeholders to make the students industry ready with training in skill-oriented computer application software.
- DM3: Facilitate to learn the theoretical nuances of AI techniques, Computer Engineering courses and motivate to carry out research in both core and applied areas of AI.
PEO's and PSO's
- PEO 1: Work effectively in inter-disciplinary field with the knowledge of Artificial Intelligence and Machine Learning to develop solutions to the real-world problems.
- PEO 2: To communicate and work effectively on team based engineering projects and will practice the ethics of their profession consistent with a sense of social responsibility.
- PEO 3: Excel as socially committed engineers or entrepreneurs with high ethical and moral values.
- PSO-1 Apply fundamental concepts of Data Sciences, Artificial Intelligence and Machine Learning to solve multidisciplinary engineering problems.
- PSO-2 To communicate and work effectively on team based engineering projects and will practice the ethics of their profession.
Faculty Details
S.NO | Faculty Name | Designation | Qualification | UID | Profile |
1 | SANTOSH KUMAR KULKARNI | Assistant Professor | M.Tech | 0872-150409-112301 | View Profile |
2 | Mr. V.SANTOSH KUMAR | Assistant Professor | M.Tech | View Profile | |
3 | Mr.P. Lokanadam | Assistant Professor | M.Tech | View Profile | |
4 | Mr.DHAMODHER MOTHUKURI | Assistant Professor | M.Tech | 0590-230807-101147 | View Profile |
5 | Mr. Arumulla Suman | Assistant Professor | M.Tech | 7356-160225-112618 | View Profile |
6 | Mrs. Kuntham Anusha | Asst.Prof. | M.Tech | 6641-150418-231038 | View Profile |
7 | Mr.RAVI KUMAR GUMMULA | Assistant Professor | M.Tech | 7066-190220-174538 | View Profile |
8 | RESHMA VENNAMANENI | Assistant Professor | M.Tech | 9486-210816-151905 | View Profile |
Courses
I B.Tech I Semester | |
Theory | Practical |
Mathematics-I Question Bank | English Language Communication Skills Lab |
Engineering Chemistry Question Bank | Engineering Workshop |
Engineering Physics-I Question Bank | |
Professional Communication in English Question Bank | |
Engineering Mechanics Question Bank | |
Basic Electrical and Electronics Engineering Question Bank |
I B.Tech I Semester | |
Theory | Practical |
Mathematics-I Question Bank | English Language Communication Skills Lab |
Engineering Chemistry Question Bank | Engineering Workshop |
Engineering Physics-I Question Bank | |
Professional Communication in English Question Bank | |
Engineering Mechanics Question Bank | |
Basic Electrical and Electronics Engineering Question Bank |
II B.Tech I Semester | |
Theory | Practical |
Mathematics-4 Question Bank | OOPS through JAVA |
Mathematical Foundations of Computer Science Question Bank | Data Structures through c++ Lab |
Data Structures through c++ Question Bank | ITWS |
Digital Logic Design Question Bank | |
OOPS through JAVA Question Bank | |
Environmental Science and Technology Question Bank |
II B.Tech II Semester | |
Theory | Practical |
Computer Organisation Question Bank | Computer Organisation Lab |
Database Management Systems Question Bank | Database Management Systems Lab |
Operating Systems Question Bank | Operating Systems Lab |
Business Economics and Financial Analysis Question Bank | Gender Sensatization Lab |
Formal Languages and Automata Theory Question Bank |
III B.Tech I Semester | |
Theory | Practical |
Design and Analysis of Algorithms Question Bank | Design and Analysis Lab |
Data Communications and Computer Networks Question Bank | Software Engineering Lab |
Software Engineering Question Bank | Computer Networks LAb |
Fundamentals of Management Question Bank | |
Open Elective-1 PEC Question Bank | |
Professional Ethics |
III B.Tech II Semester | |
Theory | Practical |
Compiler Design Question Bank | Web Technologies Lab |
Web Technologies Question Bank | Advanced English Communication Skills Lab |
Cryptography and Network Security Question Bank | Cryptography and Network Security Lab |
Open Elective II Question Bank | |
Professional Elective 1 Question Bank |
IV B.Tech II Semester | |
Theory | Practical |
Management Science Question Bank | Industry Oriented Mini Project |
Adhoc and Sensor Networks(Elective – III) Question Bank | Seminar |
Semantic Web and Social Networks (Elective – IV) Question Bank | Project Work |
Comprehensive Viva |
Electives | |
Open Elective Disaster Management Intellectual Property Rights Human Values and Professional Ethics | Elective – I Software Project Management Image Processing and Pattern Recognition Mobile Computing Computer Graphics Operations Research |
Elective – II Machine Learning Soft Computing Information Retrieval Systems Artificial Intelligence Computer Forensics | Elective – III Adhoc and Sensor Networks Storage Area Networks Database Security Embedded Systems |
Elective – IV Web Services Semantic Web and Social Networks Scripting Languages Multimedia and Rich Internet Applications | Professional Elective- I Mobile Computing Design patterns Artificial Intelligence Information security Management(Security Analyst1) Introduction to Analytics(Associate Analytics-1) |
Syllabus
E - Resources
Projects
Events
Academic Excellence
Academic Year | S.No. | H.T. No. | Name of the Student | Branch | Section | % |
2022-23 | 1 | 22BK1A72A0 | S. Archana | AI&DS | A | 89.68 |
2 | 22BK1A7259 | K. Viswakarma | A | 89.49 | ||
3 | 22BK1A7268 | M.Ignatius Anto Jennifer | A | 89.49 | ||
2021-22 | 1 | 21BK1A7215 | GANDI PRIYANKA | AI&DS | A | 90.56 |
2 | 21BK1A7207 | CHAGANTI SURYANARAYANA MURTHY | A | 87.89 | ||
3 | 21BK1A7244 | POONAM | A | 87 |
Academic Year | S.No. | H.T. No. | Name of the Student | Branch | Section | % |
2022-23 | 1 | 21BK1A7227 | K. S. Hari Kiran Vamshi | AI&DS | A | 87.68 |
2 | 21BK1A7207 | C. Surya Narayana Murthy | A | 86.26 |