Vision & Mission HOD Desk Faculty Laboratories Program Outcomes Program Specific Outcomes Home

Department of Artificial Intelligence & Data Science

Vision

  • To be a recognized leader in AI and Data Science education, research, and innovation, contributing to the advancement of technology and the betterment of society.
  • To impart international quality education, promote collaborative research and graduate industry-ready engineers in the domain of Artificial Intelligence and Data Science to serve the society.

Mission

  • To develop skilled professionals in the field of Artificial Intelligence and Data Science.
  • To provide quality, value-based education and foster innovation in computing, expert systems, and data science for the benefit of all stakeholders.
  • To inspire students to become ethical entrepreneurs and leaders who address societal and industrial needs.

Department of Artificial Intelligence & Data Science

Head of the Department

Prof. Mayuri S. More

B.E. (CSE) MIT,WPU, M.S.(COMPUTER SCIENCE), BOSTON, USA Head of Department (HOD), Assistant Professor Publication - Research Papers: 03 Email id - mayurimore09@gmail.com

It gives me immense pleasure to welcome you to the Department of Artificial Intelligence and Data Science at Siddhivinayak Technical Campus, Shegaon, In a world that is rapidly transforming through intelligent systems and data-driven decision-making, our department is at the forefront of empowering students with the skills, knowledge, and ethical foundation necessary to lead in this evolving digital era.
Our curriculum is carefully designed to provide a strong foundation in AI, machine learning, data analytics, deep learning, and related technologies, while also encouraging interdisciplinary learning. Through a combination of theoretical instruction, hands-on projects, research opportunities, and industry interactions, we aim to cultivate problem-solvers and innovators who can address real-world challenges.
The department is supported by a team of highly qualified faculty members, modern laboratories, and a strong industry-academic interface. We also emphasize holistic development, encouraging students to participate in technical events, hackathons, internships, and co-curricular activities.
I invite you to explore the Department of Artificial Intelligence and Data Science and join us in shaping the future with intelligence and innovation.

Department of Artificial Intelligence & Data Science

Faculty

Prof.Vrushali Telharkar

ME(CSE), BE(CSE) Assistant Professor

Department of Artificial Intelligence & Data Science

List of Staff in AI-DS
Sr. No. Name Qualification Designation
1 Prof. Mayuri More MS(CS), BE(CS) Head of Department, Assistant Professor
2 Prof. Vrushali Telharkar ME(CSE), BE(CSE) Assistant Professor
1) List of Classrooms
Sr. No. Classroom Remark
1 AG-03A
2) List of Labs
Sr. No. Lab Name Room No.
1 Programming Lab AG-10
2 Operating System Lab BG-02

HOD (AI & DS)

Prof. M. S. More

Department of Artificial Intelligence & Data Science

Learning Outcomes

Program Educational Objectives (PEO’s)

Graduates will be able to:

  • PEO1: Equip graduates with a strong foundation in Artificial Intelligence and Data Science to become effective collaborators, researchers, and problem solvers with sound technical competencies.
  • PEO2: Develop the ability to evaluate the impact and limitations of engineering solutions within social, legal, environmental, economic, and interdisciplinary contexts.
  • PEO3: Prepare graduates to excel in industry, higher education, or entrepreneurial ventures with a globally competitive mindset.
Program Specific Outcomes (PSO’s)
  • PSO1: Apply AI and Data Science skills in multidisciplinary domains such as healthcare, education, agriculture, intelligent transport, environment, and smart systems.
  • PSO2: Utilize industry internship experience to develop software solutions for real-world engineering problems.
Program Outcomes (PO’s)
  • PO1: Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
  • 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.
  • 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 public health and safety, and cultural, societal, and environmental considerations.
  • 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.
  • PO5: Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations.
  • 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 professional engineering practice.
  • PO7: Environment and sustainability: Understand the impact of professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
  • PO8: Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
  • PO9: Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
  • 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.
  • PO11: Project management and finance: Demonstrate knowledge and understanding of engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
  • 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.

Department of Artificial Intelligence & Data Science

Course Outcomes (CO’s)

Course CO Course Outcome Statement
Engineering Mathematics-III 3AD01.1 Demonstrate the knowledge of differential equations and linear differential equations.
3AD01.2 Apply Laplace transform to solve differential equations.
3AD01.3 Demonstrate the use of Fourier Transform to connect the time domain and frequency domain.
3AD01.4 Demonstrate the basic concepts of probability and statistics.
3AD01.5 Apply the knowledge of Complex Analysis.
3AD01.6 Apply the knowledge of vector calculus to solve physical problems.
Discrete Structure 3ADS02.1 Analyze and express logic sentence in terms of predicates, quantifiers, and logical connectives.
3ADS02.2 Derive the solution for a given problem using deductive logic and prove the solution based on logical inference.
3ADS02.3 Classify algebraic structure for a given mathematical problem.
3ADS02.4 Develop the given problem as graph networks and solve with techniques of graph theory.
Programming Methodology using Python 3ADS03.1 Apply various fundamentals for problem solving using Python.
3ADS03.2 Develop proficiency in creating applications using the Python Programming Language.
3ADS03.3 Understand and apply various data structures in solving computational problems.
3ADS03.4 Draw various kinds of plots.
Data Structures 3ADS04.1 Apply various linear and nonlinear data structures.
3ADS04.2 Demonstrate operations like insertion, deletion, searching and traversing on various data structures.
3ADS04.3 Examine the usage of various structures in approaching the problem solution.
3ADS04.4 Choose appropriate data structure for specified problem domain.
Analog & Digital Electronics 3ADS05.1 Explain basic concepts of semiconductor devices and analog ICs with applications.
3ADS05.2 Compare different Number Systems and convert between them.
3ADS05.3 Realize different minimization techniques to obtain minimized expressions.
3ADS05.4 Design Combinational Circuits.
3ADS05.5 Design and Develop Sequential Circuits.
Artificial Intelligence 4AD01.1 Explain concepts of AI, intelligent agents and their architecture.
4AD01.2 Formulate problems as state space search problems & solve them efficiently.
4AD01.3 Summarize searching techniques, constraint satisfaction problems, and game playing.
4AD01.4 Apply AI techniques in applications involving perception, reasoning and learning.
4AD01.5 Compare types of knowledge and issues in knowledge acquisition and representation.
Statistical Methods 4AD02.1 Analyze statistical data using frequency and cumulative frequency distributions.
4AD02.2 Apply measures of central tendency and dispersion.
4AD02.3 Use basic probability rules including additive and multiplicative laws.
4AD02.4 Apply discrete and continuous probability distributions to data science problems.
4AD02.5 Estimate model parameters.
4AD02.6 Identify appropriate hypothesis tests to apply to data.
Computer Architecture and Operating System 4AD03.1 Understand basic structure and operation of a computer.
4AD03.2 Discuss concepts of number representation and their operations.
4AD03.3 Explain basic operations of Operating Systems.
4AD03.4 Describe memory management issues such as fragmentation.
4AD03.5 Analyze and solve scheduling algorithms.
4AD03.6 Analyze and resolve deadlock situations.
Microcontroller, Sensors & Actuators 4AD04.1 Describe 8051 microcontroller architecture and instruction processing.
4AD04.2 Design and test assembly programs using 8051 instruction set.
4AD04.3 Explain serial & parallel communication using 8051 microcontroller.
4AD04.4 Realize interfacing of memory, I/O devices & sensors with 8051.
4AD04.5 Implement interfacing of actuators, relays, opto-isolators & motors with 8051.
Theory of Computation 4AD05.1 Understand basic concepts of formal languages and finite automata.
4AD05.2 Design finite automata for different regular expressions and languages.
4AD05.3 Construct context-free grammar for various languages.
4ADS05.4 Solve problems using normal form techniques, pushdown automata, and Turing Machines.