About
VISION
To become the world-class student-centered department which fosters high quality learning and research for both undergraduate and graduate students of Computer Science Engineering Artificial Intelligence and Machine Learning to cater to the ever changing industrial demands and social needs in Artificial Intelligence and Machine Learning through excellence in education and research..
MISSION
M1: To create a healthy environment for the development of innovative academician professionals lead in areas of computing and artificial intelligence.
M2: To create a healthy environment for the development of entrepreneur pursuit & researchers in Artificial Intelligence & Machine Learning
M3: To develop a healthy environment to fulfil its commitment to research & education of the highest quality with industry requirement and social acceptance at large.
Programme Educational Objectives (PEOs)
- PEO 1: Use theories, practices, tools and knowledge in implementation, maintenance and evaluation of computing and artificial intelligence for social needs and advancement in studies.
- PEO 2: Lifelong learning through professional conferences, certificate programs or other professional educational activities to maintain employment in workplace.
- PEO 3: Adapt, contribute and innovate new technologies in the domain of Artificial intelligence and machine Learning.
Programme Specific Outcomes (PSOs)
- PSO 1: To solve complex engineering problems of computation by applying the knowledge and principles of Artificial Intelligence and Machine learning in Data Analytics, software systems, network systems, and intelligent systems.
- PSO 2: To apply technical and research skills to design & develop solutions to problems related to the society and environment by using modern software tools.
- PSO 3: To identify the intelligent solutions to the real-world business problems with significant analytical and technical knowledge and skills.
MANDATORY DISCLOSURES
- Mandatory Disclosure
- AICTE Approvals
- University Affiliation Letter
- Education Verification
- Library Books Titles
- Audited Statement
- Student's Request Forms
- Academic calender
- ABESEC Brochure 2021-22
- HR Policies
- HOSTEL RULE BOOKLET 2022-23
- Terms & Conditions
- Refund Policy
- College Policy
- Grievance Redressal Cell
- Committees
- Report ARIIA 2020
- TEDxABES Brochure
- Disclaimer
IMPORTANT LINKS
HOW TO REACH
Address: 19th KM Stone ,
NH-09 GHAZIABAD(U.P)
PIN 201009
Phone no. 01207135112
Email : webadmin@abes.ac.in
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