DEPARTMENT OF ARTIFICIAL INTELLIGENCE & DATA SCIENCE

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Vision of Department

To establish a unique standard of quality education by utilizing revolutionary technology, fostering collaborative culture and develop technocrats to solve the problems of society by using innovative tools in artificial intelligence and data science.

Mission of Department

  1. To provide high quality, value based education and to contribute to the advancement in the field Artificial Intelligence and Data Science in order to increase the level of satisfaction among all stakeholders.
  2. To mentor students in Artificial Intelligence and data science research with the goal of making an ethical impact on society by addressing societal challenges.

Program Educational Objectives (PEO’S)

Graduates will be able to :

  1. PEO1: To equip graduates with a strong foundation in engineering sciences and Artificial Intelligence and Data Science Engineering fundamentals to become effective collaborators, researchers and real-time problem solver with technical competencies.
  2. PEO2: Perceive the limitation and impact of engineering solutions in social, legal, environmental, economic and multidisciplinary contexts.
  3. PEO3: Excel in Industry/technical profession, higher studies, and entrepreneurship exhibiting global competitiveness.

Program Outcomes (PO’S)

Graduates will be able to :

  1. PO1: Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
  2. PO2: Problem analysis: : Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
  3. PO3: Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
  4. PO4: 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.
  5. 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.
  6. PO6: The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
  7. PO7: Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
  8. PO8: Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
  9. PO9: Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
  10. PO10: 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 presentations, and give and receive clear instructions.
  11. PO11: Project management and Finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to ones own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
  12. 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 change.

Program Specific Outcomes (PSO’s)

Graduates will be able to :

  1. PSO1: Apply the fundamentals of science, mathematics and engineering knowledge to design, development, formulates and investigate complex engineering problems related to application area in Artificial Intelligence and Data Science.
  2. PSO2: Provide exposure to latest tools and technologies and aware of the impact of professional engineering solution in environmental, societal, professional ethics and able to communicate effectively.
  3. PSO3: To publish research paper and think, innovates in artificial intelligence, machine Learning and Data Science domain.


About Department

The world is moving over the cutting edge technology. That made fast and rapid development in the industry with use of technology Artificial Intelligence and Data Science (AI & DS). Artificial Intelligence (AI) is wide- ranging branch of computer science for building smart machines which is capable to think, perform the task and take the decision’s intelligently like human being. AI multidisciplinary approach is creating advancement in every sector of tech industry with the use of Machine Learning (ML), Deep Learning (DL) and Natural Language Processing. Data Science is booming exponentially in almost all parts of the world. Data Scientist’s have an ability to find insights from data for the companies and organizations.

Our aim is to make graduates ready with a strong foundation in Engineering Sciences, Artificial Intelligence, Data Science and Software Engineering to become effective collaborators, researchers, entrepreneur and real-time problem solvers with technical competencies, human value and ethics.

Course Offered

UG Courses
Intake
Durations
B.Tech Artificial Intelligence & Data Science
60
4 Years

Career path you can choose after the program

Laboratories

The department is ready with recent high-end infrastructure and tools & technology. Labs equipped with high configuration of CPU, GPU and Jetson TX2 Series Nvidia Hardware platform. The Internet facility (with 20 Mbps leased line) is made available to the students and faculty members.
The department has following laboratories.

Laboratory Name

  1. Artificial Intelligence Laboratory
  2. Data Science Laboratory
  3. IOT & Robotics Laboratory
  4. Programming / Project Laboratory
  5. Web Technologies Laboratory
  6. Database Laboratory

University Syllabus
Branch
Year
Syllabus
Artificial Intelligence & Data Science
Second Year
Click here to Download
Artificial Intelligence & Data Science
Third Year
Click here to Download
Artificial Intelligence & Data Science
Final Year
Click here to Download

Faculty / Staff List
Sr. No.
Name of the Faculty/Staff
Qualification
Designation
1
DR. SHRINIVAS RAJENDRAPRASAD ZANWAR
Ph.D
PROFESSOR & HEAD
2
PROF. ASHWINI SUBHASH GAVALI
M.E.
ASSISTANT PROFESSOR
3
DR. GIRISH SHRIKRUSHNARAO BHAVEKAR
Ph.D
ASSOCIATE PROFESSOR
4
PROF. PRATIKSHA VASANTRAO CHAFLE
M.E.
ASSOCIATE PROFESSOR
5
 PROF. SAROJ SARANG DATE
M.E.
ASSOCIATE PROFESSOR
6
 PROF. SAYLEE NIKHIL PANCHBHAI
M.E
ASSISTANT PROFESSOR
7
 PROF. RAJESH ANIL AUTI
M.Tech
ASSISTANT PROFESSOR
8
 PROF. DIVYA PARMESHWAR GADHE
M.TECH
ASSISTANT PROFESSOR
9
 PROF. MAYUR DNYANESHWAR NAWALE
M.TECH
ASSISTANT PROFESSOR
10
PROF. VINOD SHRIRAM DAMDHAR
M.E.
ASSISTANT PROFESSOR

Our Institute


Courses


Contact Us


    Chh.Shahu College of Engineering,
    Kanchanwadi, Paithan Road,
    Chhatrapati Sambhajinagar (Aurangabad), MS, India.
    Tel.: (0240) 2646363 , 2646373,
    9823461548,
    9011629299

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