ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING

Vision :

To attain Academic Excellence by harnessing students' capabilities, enabling them to be successful and ethical professionals.

Mission :

1. To teach contemporary technologies and provide a platform for students and faculty integration with industries and society.
2. To imbibe entrepreneurial skills and attitudes among the students through various interdisciplinary projects and assignments for their holistic development.
3. To provide students substantial opportunities for their placements in the industries.

Program Educational Outcomes :

PEO 1: To prepare graduates with a solid foundation in Engineering & Technology for a successful career in Artificial Intelligence & Machine Learning.

PEO 2: To equip graduates with integrity and ethical values so that they become responsible multidisciplinary engineers by exhibiting leadership and team-building skills.

PEO 3: To prepare graduates to excel in competitive examinations / postgraduate programs in advanced education.

PEO 4: To prepare graduates to succeed in industry / technical profession by applying current and innovative Artificial Intelligence and Machine Learning technologies through lifelong learning.

Program Outcomes :

PO 1 - Application of Engineering Knowledge: Apply knowledge of Engineering, management, mathematics and science for solving engineering problems. Analyze, plan and apply the acquired knowledge in basic sciences and mathematics in solving problems with technical, economic, environmental and social contexts.

PO 2 - Analysis of Problem: Ability to design and conduct experiments as well as to analyze and interpret experimental or collected data, simulate and fabricate circuits and systems, and make own projects utilizing the latest software tools and techniques. Design, build, and test analog & digital electronic systems for given specifications.

PO 3 - Design/development of solutions: Design a system, component, or process to meet the desired specifications, performance, and capabilities; compatible with health, safety, legal, societal, and environmental considerations.

PO 4 - 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.

PO 5 - 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 contextual knowledge to assess societal, health, safety, legal, and cultural issues and the consequent responsibilities relevant to the professional engineering practice.

PO 7 - Environment and Sustainability: Understand and correctly interpret the impact of engineering solutions in global, societal, and environmental contexts and demonstrate the knowledge of a need for sustainable development.

PO 8 - Ethics: Understand ethics of life and professions and abide by them.

PO 9 - Individual and Team-work: Communicate effectively, demonstrate leadership qualities, and exhibit professional conduct in their career. Work with a multi-disciplinary team, and appreciate the role of a leader, leadership principles, and attitudes conducive to effective professional practice of Engineering.

PO 10 - Communication: Communicate and present effectively both orally and in writing, such as being able to comprehend and write effective reports and design documentation, make effective presentations and give and receive clear instructions.

PO 11 - Project management and finance: Demonstrate knowledge and understanding of the engineering finance and management principles as a member and leader in a team to manage projects in multi-disciplinary environments. Apply relevant shop practices in compliance with safety policies and current regulations for engineering workplaces.

PO 12 - Life-long learning: Engage in life-long learning, demonstrate knowledge and understanding of contemporary and emerging issues relevant to their domain, demonstrate knowledge and understanding of business practices and principles of management, and understand their limitations. Develop awareness of legal consequences of engineering solutions.

PSO's :

PSO 1: To solve complex engineering problems in computing by applying the principles of Artificial Intelligence, Machine Learning, Network Engineering & Software Engineering.

PSO 2: To design & develop algorithms, programs, and projects using modern software tools to provide sustainable solutions to Computer Science, Artificial Intelligence, and Machine Learning problems related to society and the environment.

PSO 3: To design and develop Artificially Intelligent systems for solving interdisciplinary problems.

Patents Registered: 

• Zafar Ul Hasan: Innovation Patent on “A Smart Cooking Device and its process” by IP Australia, Patent No: 2021106717, Validity: 24 August 2029
• Zafar Ul Hasan: Published and in process “Bio-telemetry and the Internet of Things based Intelligent Healthcare Monitoring System”, by office of Controller General of Patent, Designs & Trade Marks, Govt. of India, No: 202241064692, date of Pub: 25/11/2022

Resource Person: 

• Zafar Ul Hasan: Delivered lecture on “Introduction to Marketing Management” held on 20th August 2022 at MCED Jalna Unit, Jalna.
• Zafar Ul Hasan: Delivered lecture on “Cash Flow Management in a Business” held on 13th September 2022 at MCED Aurangabad Unit, Aurangabad.
• Zafar Ul Hasan: Delivered lecture on “Making of Project Report” held on 29th October 2022 at MCED Aurangabad Unit, Aurangabad.
• Zafar Ul Hasan: Delivered lecture on “Soft Skills” held on 30th November 2022 at MCED Aurangabad Unit, Aurangabad.
• Zafar Ul Hasan: Delivered lecture on “Strategy for Digital Marketing” held on 31st December 2022 at MCED Khuldabad Unit, Aurangabad.

Program Assessment Committee (PAC) :

Departmental Advisory (DAB) :

Department Development Committee (DDC) :

Finance Committee (FC) :

Project Review Committee (PRC) :

• OS Lab
• Microprocessor Lab
• Computer Network
• Compiler Design Lab
• Java Program Lab
• Python Lab
• Software Engineering Lab
• Hardware Lab

• Artificial Neural Networks
• Business Economics and Financial Analysis
• Cloud Computing
• Compiler Design
• Computer Forensics
• Computer Organization
• Cryptography & Network Security
• Data Communications & Computer Networks
• Data structures
• Data Warehousing & Data Mining
• Database Management System
• Design & Analysis of Algorithms
• Dynamic Programming
• Formal Languages and Automata Theory
• Intellectual Property Rights
• Linux Programming
• OOP through Java
• Operating System
• Programming and Problem Solving
• Software Project Management
• Web Technology

Certificate courses in Artificial Intelligence (AI) and Machine Learning (ML) offer comprehensive training in these cutting-edge fields. These courses cover a range of topics, including the fundamentals of AI and ML, programming languages like Python, tools such as TensorFlow and PyTorch, data analysis and visualization, model development, deep learning, real-world applications, and ethical considerations. Participants gain practical skills in data preprocessing, feature engineering, model evaluation, and creating training, and fine-tuning machine learning models. They also explore neural networks, deep learning architectures, and applications in industries like healthcare, finance, and autonomous vehicles.

Objective Of Certification Course :

The objectives of a certification course are multifaceted and geared toward enhancing participants' knowledge, skills, and career prospects:

1. Skill Enhancement: The course aims to provide participants with specialized skills and practical knowledge in a specific domain, empowering them to excel in their chosen field.

2. Industry Relevance: By focusing on current industry trends and best practices, the course ensures that participants acquire skills that are directly applicable and in demand in their respective sectors.

3. Professional Validation: Completion of the certification offers a recognized credential that validates participants' expertise, boosting their credibility and employability in the eyes of employers.

4. Career Advancement: The course enables individuals to unlock new career opportunities, promotions, and salary increases by equipping them with advanced skills and knowledge.

5. Lifelong Learning: Beyond immediate career benefits, the course fosters a mindset of continuous learning, enabling participants to stay updated with evolving technologies and remain competitive in a dynamic job market.

Scope of the Course :

The scope of a certification course is wide-ranging and holds significant potential for personal and professional development:

1. Skill Diversification: Certification courses offer the opportunity to acquire new skills or deepen existing ones, enabling individuals to explore diverse career paths and industries.

2. Career Advancement: A certified skill set enhances employability and opens doors to higher-level positions, promotions, and increased earning potential.

3. Industry Relevance: Certification equips individuals with up-to-date knowledge and skills aligned with industry trends, making them valuable assets to employers and staying competitive in the job market.

4. Entrepreneurship: Certified individuals can leverage their expertise to launch startups or independent ventures, applying their skills to create innovative products or services.

5. Networking: Certification programs often provide a platform to connect with peers,mentors, and professionals in the field, expanding one's professional network.

Value-added courses in Artificial Intelligence and Machine Learning (AIML) provide students with specialized knowledge that enriches their educational journey. These courses delve into advanced concepts like neural networks, natural language processing, and data analytics, fostering a deep understanding of complex AI-driven systems. By aligning with the latest
industry trends, AIML courses enhance employability, enabling graduates to tackle real-world challenges with practical expertise. Recognized certifications validate proficiency, opening doors to career advancement and opportunities for innovation in fields ranging from healthcare and finance to e-commerce and autonomous systems.

Objective Of Course : 

1. Expertise Enhancement: Deepen AI and ML knowledge.
2. Industry Relevance: Align with cutting-edge tech demands.
3. Skills Practical: Acquire data-driven problem-solving abilities.
4. Certification Validation: Showcase AI and ML proficiency.
5. Career Advancement: Enable growth in diverse sectors.

Scope Of Course :

1. Broad Topics: Covers AI and ML applications extensively.
2. Emerging Fields: Includes areas like NLP, computer vision, and robotics.
3. Versatile Roles: Opens doors to data science, AI development, and more.
4. Industry Demand: Meets growing needs in tech-driven sectors.
5. Innovation Potential: Prepares for creating AI-driven solutions.

• Creating Course Website in CANVAS
• Recorded Lecture
• PBA
• Project Expos