Welcome to Computer Science (AI_ML) Engineering
Artificial Intelligence and Machine Learning (AI & ML) is a new and upcoming program in the area of computer science that is rapidly expanding its boundaries to variety of fields like healthcare, security, entertainment, education, autonomous transportation, intelligent robots, space exploration, speech processing, stock trading and many more. AI and its applications have brought significant changes in our lives. Those who are innovative thinkers and for those who want to master the world of technology. Students should have strong mathematical and analytical skills to understand how digital technologies can be used as drivers of innovation.
Department of AI & ML is structured for Excelling in teaching learning methodology. The department will train students so that they have consistent good academic track record also gives priority to practical perspective.
"Artificial intelligence will reach human levels by around 2029. Follow that out further to, say, 2045, we will have multiplied the intelligence, the human biological machine intelligence of our civilization a billion-fold." -Ray Kurzweil.
More Info...
Vision
To be an academic excellence centre in producing global standard engineering graduates through effective teaching-learning environment.
Mission
M1: To provide advanced technical resources and platforms to students to take-up the challenges of
digital world
M2: To transform student community into potential technocrats with ethical and moral values to build the nation
M3: To explore the student through collaborative learning process for long-term interaction with academics and industries
PO1: Engineering Knowledge: Apply knowledge of mathematics, science and Computer Engineering to solve complex Engineering problems
PO2: Problem Analysis: Identify, formulate, research literature and analyze complex engineering problems to arrive at valid conclusions.
PO3: Design & Development of Solutions: Design and Develop System architecture, algorithm, hardware component, or Data Flow Diagram to meet desired needs with real time constraints.
PO4: Investigation of Complex Problem: Analyze algorithm, interpret data and calculate time and space complexity to arrive at valid conclusions.
PO5: Modern Tools Usage: Apply upgraded tools and techniques in modeling and design of Computer interface.
PO6: Engineer and Society: Apply the knowledge to assess societal, health, safety, legal and cultural issue and consequent responsibilities to Computer Engineer.
PO7: Environment & Sustainability: Demonstrate knowledge and an understanding of an impact of engineering solution on environment and need for sustainable development
PO8: Ethics: Commit to professional ethics, responsibilities and norms of engineering practice.
PO9: Individual & Team work: Work effectively as an individual, and as a member or Team leader in different areas.
PO10: Communication: Effectively communicate, write report, design documentation and make presentations.
PO11: Project management & Finance: Demonstrate knowledge and an understanding of management principles and apply them while managing projects.
PO12: Lifelong Learning: Recognize needs for and engage in learning, understanding, and applying new ideas in the context of technological change.
Programme Specific Outcomes
PSO1: Engineering Graduates will be able to apply the knowledge of mathematics, basic science and basic
computing in general and in identifying, formulating and solving the real life computer engineering
problems.
PSO2: Engineering Graduates will be able to accelerate innovation for industrial and social needs.
Programme Educational Objectives
1. Developing well-groomed and dynamic computer graduates with fundamental knowledge of mathematics, basic science and basic computing.
2. Imparting the knowledge of designing and developing computer applications by using modern tools and techniques.
3. Nurturing life-long learning skills to evolve technical challenges and opportunities.
4. Preparing successful professionals with awareness and commit to ethical and social responsibilities.
Prof. K.N. Attarde
HOD, Computer Science (AI_ML) Department
Welcome to the Department of Computer Science & Engineering Dept. It is a pleasure to head the department of Computer Engineering. The Computer Engineering Department has a team of experienced and motivated faculty members who are in the process of influencing, inspiring and motivating young minds towards achieving success. The strength of the department is highly motivated students who upgrade their technical skill as per industry requirement. Our department is committed to excellence in teaching, research and inculcating a sense of pride and confidence in our students. The objective is to empower our students with the latest technical knowledge and skills by providing them with the best teaching faculty, state of the art lab facilities and excellent research and development environment. Special attention is given to the Teaching Learning Process and several Innovative programs including Industrial Training, Independent Minor and Major Projects, Industry Visits, and Tech. Talk/ Lectures by Guest Speakers are conducted regularly. The Department provides world class infrastructure with the state of the art computer labs. The department provides computing facility for the students and faculties along with 50Mbps Internet connectivity with wireless facility, which caters to the college internet needs. The research work carried out in several areas, namely Computer Vision, Biometrics, Computer Security, Distributed Computing, Databases and Information Management, Networking and Systems, Pattern Recognition and Machine Learning, Deep Learning, Data Mining, Information Systems, Autonomous Systems, Internet of Things (IoT) and Big Data Analytics. Our staff members have contributed Intellectually and Professionally to the advancement of these fields with numerous publications in International/National Journals and Conferences.
Event Description Photos
Teaching Staff
| Designation: | Professor |
| Qualification: | Ph. D(ECE), M. Tech (ICS) , BE(ECE) |
| Area of Interest: | Robot Navigation, Neural Networks, Soft Computing, Artificial Intelligence |
| Email: | najmuddin.aamer@theemcoe.org |
| Designation: | Assistant Professor |
| Qualification: | ME (CSE), BE (CSE) |
| Area of Interest: | Database, Data Warehousing & Mining, Operating System |
| Email: | mohd.shakeel@theemcoe.org |
| Designation: | Asst Professor |
| Qualification: | M.Tech (CSE), BE (Computer) |
| Area of Interest: | Database Technologies, Web Technology, Cloud Computing |
| Email: | muhib.lambay@theemcoe.org |
Non-Teaching Staff
Name of the Laboratory Description
| Programming Lab
View Lab | The lab is designed for conducting practical,s based on Java Programming data structures, Object Oriented Programming The main objective of lab is to provide practical environment to encourage the students for developing practical skills |
| Multimedia Lab
View Lab | The main objective of the lab is to provide the students the practical knowledge of design by having hands on practice on web technology.The lab is equipped with Intel Dual Core 3.10 ghz processor machines and necessary software tools. |
| Object Oriented Analysis And Design Lab
View Lab | This lab is being used as the informal basis for the conceptual design of interactivesystems. Given recent advances in the development of object-oriented modeling languages and methodologies, it is now time to re-evaluate the role of object modeling during the process of user interface design.The lab is equipped with Intel I-3 3.10 ghz processor machines and necessary software tools. |
Notice Board
| Sem 3 |
| Sem 4 |
| Sem 5 |
| Sem 6 |
| Sem 7 |
| Sem 8 |