UPDATES
Department of CSE- ARTIFICIAL INTELLIGENCE & MACHINE LEARNING
Vision:
- To attain excellent standards of quality education by making use of the latest tools, nurturing a collaborative culture, and spreading customer-oriented innovations to the relevant areas of academia alongside global industry in the direction of serving the greater cause of society.
Mission:
- To inculcate professional and personal growth with a strong academic and practical background in the area of artificial intelligence, with an emphasis on current trends in software development, making them industry-ready professionals with social ethics.
- To empower the students in attaining sound technical knowledge with necessitated trainings and certifications in the area of AI & ML.
About the Department
- The Dept. of CSE(AI&ML) with an intake of 180 in B.Tech Programme. The programmes ensure that the student effectively meets the highest benchmarks of competence required by the industry.
- The Dept has state of the art laboratories with latest softwares like Windows 2008, Visual Studio 2012, Ecllipse, WinRunner, QTP, J2EE, .NET, Fedora & Weka Tool. The Dept established IEEE & ISTE student chapters and Dept. Technical Association-CYNOSURES under which it organizes National level Technical Symposium - FUTURE SASTRA and State level Technical Symposium MEDHA every academic year and Student Development Programmes like Workshop on Web Designing, Android & its Application, ADOBE PhotoShop, Ethical Hacking and HTML5.
- The Department also organizes Pre-placement training programmes on C-Skills, Python Skills Java Skills and Project Based training programmes on C, Python, C++, JAVA, Machine Learning, Deep Learning, Natural Language Processing and Web Technologies and also organizes Intra College Student Conferences on Network Security and Data Base Management Systems and Recent Advancements in Computer Science and also organizes regular student seminar sessions of two hours per week for I - IV B.Tech student to enhance their all round performance.
- To provide value added certification courses to students, The Dept. established Micro Soft Innovation Center which offers Micro Soft Certification, CISCO Networking Academy which offers CISCO Certification and in association with ORACLE Corporation, India, It offers Java Certification and CORSERA certifications in advanced technologies like , Machine Learning, Deep Learning, Natural Language Processing, etc . The Dept. also offers Business English Certification (BEC) with the help of Center for Development of Communication Skills.
Programmable Educational Objectives - PEOs
PEO1 - Professional Enhancement
- To gain familiar knowledge and to contribute theoretical, mathematical, scientific foundation and logical learning to the students with well-structured course outline by anticipating changing trends in Artificial Intelligence & Machine Learning.
PEO2 - Core Competence
- To develop students with in-depth knowledge of Artificial Intelligence and exhibit high standards with regard to applications of AI techniques in intelligent agents, expert systems, artificial neural networks, and other machine learning modelsto meet the agile industrial requirements extensively.
PEO3 - Technical Accomplishments
- To provide a strong foundation in embracing students learning to meet the ever-changing developments in artificial intelligence and machine learning.
PEO4 - Professionalism
- To pursue their professional careers for self-advancement while meeting the requirements for professional developers, entrepreneurs, research, and development in order to meet the societal needs.
PEO5 - Learning Environment
- To promote collaborative learning and the spirit of teamwork, interpersonal skills, and projects through multidisciplinary AI-based innovative product development and diverse professional ethics.
Program Outcomes
PO1
Engineering knowledge
Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization for the solution of complex engineering problems.
PO2
Problem analysis
Identify, formulate, 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 t h e specified needs with appropriate consideration for public health and safety, and 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 modelling 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 t h e 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 t h e 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
Recognise 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 - PEOs
PSO1
Understand a range of analytical, logical - Programming languages, architecture, construction, and design underlying the field of AI and ML and its related disciplinary areas.
PSO2
Ability to acquire knowledge in analysis, design, and development of human perception, Artificial Intelligence, Machine Learning, and data analytics in terms of real-world problems to meet future challenges.
PSO3
Develop computational knowledge and project development skills using innovative tools and practices related to optimization techniques, pattern analysis, and speech recognition for the efficient design of computer-based systems of varying complexity to solve problems in the areas related to deep learning, machine learning, and artificial intelligence.