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Artificial Intelligence And Data Science

Greetings from Achariya College of Engineering Technology!!!

A recent field of research called Artificial Intelligence and Data science examines scientific methods taken from various disciplines, including Information science, Statistics, and Cognitive science. The information is used in business applications to help make a variety of wise judgments. It is a specialist field that works with the creation of tools for data visualization, big data analysis methods and data-driven solutions. Additionally, it uses deep learning model construction and machine learning techniques to solve a variety of computational and real-world issues. Technologists with a focus on artificial intelligence and related fields are crucial given the growing demand for AI. In order to address this, our college has created an independent program that provides a variety of creatively crafted courses with curricula that are continuously updated to reflect the ever-changing requirement of the industry and to meet the expectations of major stakeholders.

Our curriculum has been created with a balance between professional and soft skills in mind. We are sure that the curriculum we currently offer has helped aspiring professionals reach the standards required by the business and research sectors. In order to ensure the participation of all types of learners and support the state-of-the-art infrastructure, the Department uses innovative pedagogical methods to encourage students to gain practical experience in potential areas that are desired by research organizations and the corporate world.

The department works extremely hard to uphold the mission upon which it was established. Considering all of these factors, it can be concluded that our students are earnest, diligent, pragmatic, aware, and productive in any kind of workplace. Many industries are showing interest in visiting our department for industry-supported initiatives and campus recruitments, which gives us hope that our curriculum is successful and suitable for today’s fast-paced corporate environment. With this succinct introduction, we cordially invite you to join us on our path to become a preeminent global hub for research, training, and teaching.

ABOUT THE DEPARTMENT

The department of Artificial Intelligence and Data Science (AI&DS) is established during the academic year 2022-23 with an intake of  60. The department is approved by the AICTE, New Delhi, and is affiliated with Pondicherry University, Puducherry.

Artificial Intelligence and Data Science is a new branch of study that deals with scientific methodologies, processes, and techniques drawn from different domains like statistics, cognitive science, and computing and information science to extract knowledge from structured data and unstructured data. This knowledge is applied in making various intelligent decisions in business applications. AI&DS focuses on collecting, categorizing, strategizing, analyzing and interpreting data. It is a specialized branch that deals with the development of data-driven solutions, data visualization tools and techniques to analyse big data. It also incorporates the concepts of machine learning and deep learning model building for solving various computational and real-world problems.

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Prof. S. RAJALAKSHMI, B.E.,M.Tech.,(Ph.D).,
Assistant Professor & Head,
Department of AI&DS.
  • Department Provide students with the knowledge and skills necessary for analyse and solve problems using mathematical models, then            development and creativity in various fields of work through the use of data science and artificial intelligence.
  • Develop students’ ability to work and communicate effectively within a team, and apply appropriate practices within the professional, legal      and ethical framework and the need to contribute positively to society.
  • Enables students for continuous self-learning to further enhance their skills, adopt new techniques and methods, and advance in graduate      studies.

To be distinguished in teaching, learning, scientific research and community service according to the international standards.

  • The Artificial Intelligence and Data Science department strives to:
  • To provide cutting-edge education in the field of Artificial Intelligence and Data Science that is rooted in ethical and moral values.
  • To establish strong partnerships with industries and research organizations in the field of Artificial Intelligence and Data Science, and to             excel in the emerging areas of research by creating innovative solutions.
  • To cultivate a strong sense of social responsibility among students, fostering their inclination to utilize their knowledge and skills for the              betterment of society.
  • To motivate and mentor students to become trailblazers in Artificial Intelligence and Data Science, and develop an entrepreneurial mindset         that nurtures innovation and creativity.

“AI: Creating Tomorrow’s World Today”

  • Encourage students to participate in national and international events in the field.
  • To enhance students’ employability by conducting at least two training programs on emerging technologies every semester.
  • To implement an effective Teaching-Learning Process (T-L-P) to achieve excellent academic performance in the university examinations.
  • Train students with advanced technologies & tools in AI&DS.
  • To conduct programmes for students to acquire the skills & inculcate leadership qualities, research orientation and technical skills.
  • Transform the department and its students into a multidisciplinary stream where students can collaborate with other departments for                 research.
  • To create better entrepreneurs in the area of Artificial Intelligence.
  • Widen the scope of the faculty by helping them pursue cross-discipline research topics like robotics and machine vision.
  • To make the student capable to accept the challenges of changing modern technologies.

PROGRAMME OUTCOMES (POs)

PO1 – ENGINEERING KNOWLEDGE:

An ability to apply the knowledge of mathematics, science, and engineering fundamentals and an engineering specialization to the solution of complex Civil engineering problems.

PO2 – PROBLEM ANALYSIS:

An Ability to design experiments for the required cause and subsequently analyze and interpret the data acquired from the experiment to draw apt conclusions.

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 the 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 modeling 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 the professional engineering practice.

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.

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 the 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.

PROGRAM EDUCATIONAL OBJECTIVES (PEO):

PEO1: To provide graduates with the proficiency to utilize the fundamental knowledge of basic sciences, mathematics, Artificial Intelligence, data science and statistics to build systems that require management and analysis of large volume of data.

PEO2: To enrich graduates with necessary technical skills to pursue pioneering research in the field of AI and Data Science and create disruptive and sustainable solutions for the welfare of ecosystems.

PEO3: To enable graduates to think logically, pursue lifelong learning and collaborate with an ethical attitude in a multidisciplinary team.

PEO4: To enable the graduates to design and model AI based solutions to critical problem domains in the real world.

PEO5: To enrich the innovative thoughts and creative ideas of the graduates for effective contribution towards economy building.

PSO 1: Evolve AI based efficient domain specific processes for effective decision making in several domains such as business and governance domains.

PSO 2: Create, select and apply the theoretical knowledge of AI and Data Analytics along with practical industrial tools and techniques to manage and solve wicked societal problems.

PSO 3: Develop data analytics and data visualization skills, skills pertaining to knowledge acquisition, knowledge representation and knowledge engineering, and hence be capable of coordinating complex projects.

(22-23 Regulations)

S.No Course-Code Course Name
1 BSC101 Physics
2 BSC102 Mathematics I
3 ESC103 Basic Electrical and
Electronics Engineering
4 BSP101 Physics Lab
5 ESP102 Electrical & Electronics
Engineering Lab
6 ESP103 Engineering Graphics &
Design
7 BSC201 Chemistry
8 BSC202 Mathematics – II
9

ESC203

 

Programming for Problem
Solving
10 HSC204 Communicative English
11 BSP201 Chemistry lab
12 ESP202 Programming Lab
13 ESP203 Workshop/Manufacturing
Practices
14 HSP204 NSS / NCC *
15 ADHS301 Effective Technical
Communication
16 ADBS302 Mathematics – III
(Probability and
Statistics)
17 ADES303 Digital System Design
18 ADES304 Data Structures and
Algorithms
19 ADPC305 Database Management
System
20 ADHS306 Engineering Economics
21 ADEL301 Digital System Design
Lab
22 ADEL302 Data Structure and
Algorithms Lab
23 ADPL303 Database Management
System Lab
24 ADMC401 Environmental Science
25 ADPC402 Theory of Computation
26 ADPC403 Statistical Analysis and
Computing
27 ADPC404 Introduction to Data
Analytics and Visualization
28 ADPC405 Discrete Mathematics
29 ADPC406 Operating Systems
30 ADPC407 Computer Organization and
Architecture
31 AI CP401 Statistical Lab (R and
SPSS)
32 AI CP402 Data Analytics and
Visualization Lab
33 AI CP501 Operating Systems Lab
34 AI BS404 Minor Project
35 ADPC501 Artificial Intelligence
36 ADPC502 Computer Networks
37 ADPC503 Large Data Sets
Management
38 ADPEXXX Professional Elective -I
39 ADOEXXX Open Elective – I
40 ADHS504 Entrepreneurship and
Startups
41 ADAU505 Indian Constitution
42 ADPL501 Artificial Intelligence Lab
43 ADPL502 Computer Networks Lab
44 ADPL503 Large Data Sets
Management Lab
45 ADPC601 Introduction to IoT and
Embedded Systems
46 ADPC602 Data and Internet Security
47 ADPC603 Cloud Computing
48 ADPC604 Machine Learning
49 ADPEXXX Professional Elective-II
50 ADOEXXX Open Elective-II
51 ADPL601 IoT and Embedded Systems
Lab
52 ADPL602 Machine Learning Lab
53 ADPROJ603 Summer Internship – I
54 ADPEXXX Professional Elective-III
55 ADPEXXX Professional Elective-IV
56 ADOEXXX Open Elective-IV
57 ADPROJ701 Project -I
58 ADPROJ702 Summer Internship – II
59 ADPEXXX Professional Elective-V
60 ADPEXXX Professional Elective-VI
61 ADOEXXX Open Elective-V
62 ADPROJ801 Project -II
S.NO STAFF NAME DESIGNATION QUALIFICATION
1 Mrs. S. RAJALAKSHMI ASSISTANT PROFESSOR & HOD M.Tech., (Ph.D).,
2 Mrs. S. KALAITCHELVI ASSISTANT PROFESSOR M.Tech.,
3 Mrs. K. SUDHA ASSISTANT PROFESSOR M.Tech.,

The department has fully functioning labs covering

  1. Data Structure and Algorithms Lab
  2. Statistical Lab (R and SPSS)
  3. Data Analytics and Visualization Lab
  4. Artificial Intelligence Lab
  5. Large Data Sets Management Lab
  6. IoT and Embedded Systems Lab
  7. Machine Learning Lab
  8. Operating Systems Lab