CSE(AI&ML)

 

CSE(AI&ML)

The Department of CSE (AI&ML) was established in the year 2020 to offer an undergraduate programme B.Tech under the affiliation of Dr. A. P. J. Abdul Kalam Technical University, Lucknow.

MIET flourishes to give a successful specialized instruction by means of experiential learning and create a concrete framework with proficient workforce and energetic understudy community for accomplishing higher target level in Higher instruction in India. It believes in executing outcome based education (OBE). On deep rooted learning, we conduct different specialized events like hackathons, coding competitions, preparing programs, workshops and classes. We endeavor to deliver our best in terms of information spread and bring out the best from our students.

Our activities will certainly shape the students in such a way that they confront the outside world with confidence and provoke specialized, interpersonal and problem-solving aptitudes. In order to get ready Industry prepared professionals with all encompassing identity, we tie up with different firms and routinely organize different exercises like industry visits, specialized talks, and real-time ventures to sharpen the students’ specialized and delicate aptitudes.

COURSES OFFERED

B. Tech. – CSE (AI/MI) with sanctioned intake of 120.

Courses Outcome

Vision

To become a renowned department where talented and globally competitive artificial intelligence and machine learning professionals are nurtured with value and industry-oriented skills to serve the nation and society.

Mission

The Department of Artificial Intelligence and Machine Learning (AIML) is committed to:

  • Imparting knowledge in cutting-edge Artificial Intelligence (AI) and Machine Learning (ML) technologies aligned with current industry standards through career-oriented learning programs.
  • Equipping students with interdisciplinary skills to design, develop, and deploy intelligent systems that address real-world challenges and create dynamic career opportunities in the global marketplace.
  • Fostering innovation, creativity, research, professional ethics, social responsibility, and lifelong learning among students.
  • Preparing students to become competent professionals, researchers, and responsible technology leaders who can contribute meaningfully to society through AI-driven solutions
Mission

HoD's Message

A very warm welcome to the CSE (AI & ML) Department at MIET, Meerut. You have the opportunity to learn in a progressive academic environment that offers strong industry exposure, skill development, practical learning, and career-focused training. Focus on developing strong technical skills, innovative projects, professional certifications, and industry-ready competencies to make the most of the opportunities available to you. Your dedication, discipline, academic excellence, and placement achievements will significantly contribute to strengthening the reputation of both the CSE (AI & ML) Department and MIET, Meerut. Let us work together towards excellence in Academics, Admissions, and Placements, and make CSE (AI & ML) at MIET, Meerut a preferred choice for aspiring students and leading recruiters.

Dr. Praveen Kumar Mishra

Dr. Praveen Kumar Mishra

HOD, CSE (AI & ML)

PEOs

PSOs

  • Ability to contribute to problem identification, analysis, design, and development of systems using principles and concepts of Artificial Intelligence and Machine Learning.
  • Ability to apply the concepts, principles and practices of Artificial Intelligence and Machine Learning and critically evaluate the results with proper arguments, selection of tools and techniques when subjected to loosely defined real world scenarios.
  • Ability to apply Artificial Intelligence and Machine Learning models on data for enabling better decision making.
  • PSO1: Apply the principles and techniques of Artificial Intelligence and Machine Learning to identify, analyze, design, and develop innovative solutions for real-world problems.
  • PSO2: Select and utilize appropriate AI/ML models, algorithms, tools, and technologies to solve loosely defined problems, critically evaluate outcomes, and justify the effectiveness of the developed solutions.
  • PSO3: Apply Artificial Intelligence and Machine Learning techniques to acquire, process, analyze, and interpret data for developing intelligent systems that support effective decision-making in diverse application domains.

 

Program Outcome

  • PO1: Engineering Knowledge: Apply knowledge of mathematics, natural science, computing, engineering fundamentals and an engineering specialization as specified in WK1 to WK4 respectively to develop to the solution of complex engineering problems.
  • PO2: Problem Analysis: Identify, formulate, review research literature and analyze complex engineering problems reaching substantiated conclusions with consideration for sustainable development. (WK1 to WK4)
  • PO3: Design/Development of Solutions: Design creative solutions for complex engineering problems and design/develop systems/components/processes to meet identified needs with consideration for the public health and safety, whole-life cost, net zero carbon, culture, society and environment as required. (WK5)
  • PO4: Conduct Investigations of Complex Problems: Conduct investigations of complex engineering problems using research-based knowledge including design of experiments, modelling, analysis & interpretation of data to provide valid conclusions. (WK8).
  • PO5: Engineering Tool Usage: Create, select and apply appropriate techniques, resources and modern engineering & IT tools, including prediction and modelling recognizing their limitations to solve complex engineering problems. (WK2 and WK6)
  • PO6: The Engineer and The World: Analyze and evaluate societal and environmental aspects while solving complex engineering problems for its impact on sustainability with reference to economy, health, safety, legal framework, culture and environment. (WK1, WK5, and WK7).
  • PO7: Ethics: Apply ethical principles and commit to professional ethics, human values, diversity and inclusion; adhere to national & international laws. (WK9)
  • PO8: Individual and Collaborative Team work: Function effectively as an individual, and as a member or leader in diverse/multi-disciplinary teams.
  • PO9: Communication: Communicate effectively and inclusively within the engineering community and society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations considering cultural, language, and learning differences
  • PO10: Project Management and Finance: Apply knowledge and understanding of engineering management principles and economic decision-making and apply these to one’s own work, as a member and leader in a team, and to manage projects and in multidisciplinary environments.
  • PO11: Life-Long Learning: Recognize the need for, and have the preparation and ability for i) independent and life-long learning ii) adaptability to new and emerging technologies and iii) critical thinking in the broadest context of technological change. (WK8)

Road Map


Admission 2026-27
College Prospectus