Branch
Artificial Intelligence & Machine Learning
10+2 (Maths)
4 Years Full Time
AIML
Available
hodcsit@kashiit.ac.in
Department of Artificial Intelligence & Machine Learning
Department of Artificial Intelligence & Machine Learning was established in the year 2021, with the objective of imparting quality education in the field of Computer Science. Our department has a three-sided mission: to create knowledge, to disseminate knowledge, and to provide service to our society. With rapid evolving technology and the continuous need for innovation the department always ensures providing products as per requirement of IT Industry. This course will help you to gain the knowledge and techniques to specify, design, code, modify and test different types of software ranging from web-based systems to mobile solutions. The course mainly focuses on:
- Algorithms
- Software Development Processes
- Cyber Security
- IOT
- Standard Programming Languages such as C, Java and Python
- Practical knowledge of Databases such as Oracle and SQL Server.
- Artificial Intelligence and Machine Learning
The department has a relaxed and informal atmosphere-which we cherish. All the faculty members are expert of their domains and are always there for students. The faculty is highly motivated, enthusiastic and easily approachable.
DEPARTMENT OF COMPUTER SCIENCE & ENGINEERING (CS/IT/CS-AIML)
Vision
To be head of excellence in technical knowledge and research of Computer Science
and Engineering along with good moral values.
Mission
- To strengthen core competency of students to be a successful, ethical, effective problem solver in Computer Science & Engineering through analytical learning.
- To promote interdisciplinary research & innovation based activities in emerging areas of technology globally.
- To facilitate and foster the industry-academia collaboration to enhance entrepreneurship skills and acquaintance with corporate culture.
- To inculcate in them a higher degree of social consciousness and moral values towards solving interdisciplinary societal problems using industry academia collaboration.
PROGRAM EDUCATIONAL OBJECTIVES (PEOs):
PEO1-PROFESSIONAL DEVELOPMENT
To develop in the students the ability to acquire knowledge of Mathematics, Science & Engineering and apply it professionally within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability and sustainability with due ethical responsibility.
PEO2-CORE PROFICIENCY
To provide ability to identify, formulate, comprehend, analyze, design and solve engineering problems with hands on experience in various technologies using modern tools necessary for engineering practice to satisfy the needs of society and the industry.
PEO3- TECHNICAL ACCOMPLISHMENTS
To equip the students with the ability to design, simulate experiment, analyze, optimize and interpret in their core applications through multi disciplinary concepts and contemporary learning to build them into industry ready graduates.
PEO4- PROFESSIONALISM
To provide training, exposure and awareness on importance of soft skills for better career and holistic personality development as well as professional attitude towards ethical issues, team work, responsibility, accountability,multidisciplin ry approach and capability to relate engineering issues to broader social context.
PEO5- LEARNING ENVIRONMENT
To provide students with an academic environment and make them aware of excellence, develop the urge of discovery, creativity, inventiveness, leadership, written ethical codes and guidelines and the life- long learning to become a successful professional in Electronics and Communication Engineering.
PROGRAM OUTCOMES (POs)
PO1: Engineering knowledge
Apply the knowledge of mathematics, Science, Engineering fundamentals and Engineering specialization to the solution of complex engineering problems.
PO2: Problems analysis
Identity, formulates, 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 solution for Complex engineering problems and design system components are 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 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.
PO 6: The Engineer and Society
Apply reasoning informed by the contextual knowledge to access 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 social and environmental contexts and demonstrate the knowledge need for sustainable development.
PO8: Ethics
Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practices.
PO9: Individual and team work
Function, effectively as an individual and as a member or leader in diverse teams in multidisciplinary settings.
PO 10: 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 presentation and give and receive clear instructions.
PO11: Project Management and Finance
Demonstrate knowledge and understanding of 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 changes.
PROGRAM SPECIFIC OUTCOMES (PSOs):
The graduates of the department will attain:
PSO1: Problem solving skills (Foundation of mathematical concept) The ability to analyze, design and implement application specific electronic system for complex engineering problems for analog, digital domain, communications and signal processing applications by applying the knowledge of basic sciences, engineering mathematics and engineering fundamentals.
PSO2: Professional skill (Foundation of Computer System) The ability to adapt for rapid changes in tools and technology with an understanding of Societal and Ecological issues relevant to professional engineering practices through life-long learning.
PSO3: Successful career (Foundation of Software Development) Excellent adaptability to function in multi-disciplinary work environment, good interpersonal skills as a leader in a team in appreciation of professional Ethics and Societal responsibilities.
Course Outcomes(COs):
Hod’s Message
MR. SANTOSH CHAUHAN
HOD & Professor
The Department of Artificial Intelligence & Machine Learning executes 4 years B.Tech in CSE/AIML Course. It has state-of-the-art & world class facilities, with a clear aim to be known as the best department in Artificial Intelligence & Machine Learning among all other Indian colleges of repute. As a wealth, the department has a strong team of faculty members with high dedication towards their commitment. The pass out students of the department are performing extremely well in almost all the leading organizations and making the name of the department sparkle brightly.
| COURSE | INTAKE |
| B. TECH. (COMPUTER SCIENCE & ENGINEERING) | 180 |
| B. TECH. CS(ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING) | 60 |
Class Room
In the A-block, on the 3rd and 4th floors, to nourish the talent and polish the skills of the students in the department, it has well equipped air-conditioned classrooms with smart-boards, audio systems, projectors, and can comfortably seat 50 to 60 students. The classrooms have space enough to conduct some in-class group activities to enhance student interaction and confidence.
Labs
Smart India Hackathon 2022
Presentation On Emerging Technologies
Group Discussion
Technical Mock Interview
