Artificial Intelligence and Data Science

In recent years, Artificial Intelligence and Data Science has gained presence in all areas of life. Data science is an inter-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge, insights from heterogeneous data using artificial intelligence. This programme seeks to determine the importance of Artificial Intelligence and Data Science and its real-time applications in all aspects of life.

Data science is a “concept to unify statistics, data analysis and their related methods” in order to “understand and analyze actual phenomena” with data. It uses techniques and theories drawn from many fields within the context of mathematics, statistics, computer science, domain knowledge and information science. This a result of the contribution by the massive explosion in data and the growing need of the industries to rely on data to create better products. We have become a part of a data-driven society. Data has become a dire need for industries that need data to make careful decisions.

Artificial Intelligence makes the use of algorithms to perform autonomous actions. Artificial Intelligence is a collection of technologies that excel at extracting insights and patterns from large sets of data, then making predictions based on that information.

The B.Tech program in Artificial Intelligence and Data Science is started in the academic year 2020 – 21 with an intake of 60 and has increased the intake to 120 from the academic year 2021 – 22.

Department Vision:

To achieve excellence in the field of Artificial Intelligence & Data Science with professional competency.

Department Mission:

M1: Provide quality education to achieve excellence

M2: Upgrade infrastructure and technologies to meet the learner’s needs

M3: Establish linkages with Government and Industry to enhance technical skills, entrepreneurship and innovations

M4: Support research to serve the needs of the society

Programme Educational Objectives:

The Department of  AI & DS has developed and adopted Programme Educational Objectives (PEOs) for guiding UG programme towards the mission and vision which reflects three aspects of student learning: Cognitive, Affective and Behavioral. PEOs are expected to attain by the students few years after their graduation.

PEOs Program Educational Objectives (PEOs)
PEO1 Graduates will be able to become Competent Professionals rendering service to IT and ITES industry.
PEO2 Graduates will be able to become Lifelong Learners by adapting new technologies to sustain in their career.
PEO3 Graduates will be able to become Technocrats to serve the needs of the society with ethical values.

Mapping Program Educational Objectives with Mission

PEO No. Mission 1 Mission 2 Mission 3 Mission 4
PEO1 3 3 2 2
PEO2 3 3 2 2
PEO3 3 3 2 2
Correlation Levels: 1 – Slight (Low) 2 – Moderate (Medium) 3 – Substantial (High)

Programme Specific Outcomes (PSOs)

Program Specific Outcomes (PSOs) are what the graduates of a specific UG programme should be able to do at the time of graduation. Department has defined few specific outcomes which make graduate realize the fact that the knowledge and techniques learnt in this programme has direct implication especially in the field of Computer Science and Engineering.

Programme Specific Outcomes (PSOs) :

PSO No. Programme Specific Outcomes
PSO1 Demonstrate to understand the working principles of computer system and implementation of software products based on its professional engineering practices with effective strategies.
PSO2 Apply adaptive algorithms and techniques to solve problems in areas related to artificial intelligence, machine learning, data science and deep learning.

Programme Outcome:

The department of AI & DS has developed and adopted Programme Outcomes (POs) for guiding UG programme. POs describe that, what students are expected to know or be able to do by the time of graduation from the programme.

PO Number Programme Outcome
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 the 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.

The department of AI & DS has developed and adopted Programme Outcomes (POs) for guiding PG programme. POs describe that, what students are expected to know or be able to do by the time of graduation from the programme.

Competencies and Performance Indicators:

PO 1: Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialisation for the solution of complex engineering problems.
Competency Performance Indicators
1.1Demonstrate competence in mathematical modelling 1.1.1 Apply the knowledge of discrete structures, linear algebra, statistics and numerical techniques to solve problems

1.1.2 Apply the concepts of probability, statistics and queuing theory in modeling of computer based system, data and network protocols

1.2 Demonstrate competence in basic sciences 1.2.1 Apply laws of natural science to an engineering problem

 

1.3 Demonstrate competence in engineering fundamentals 1.3.1 Apply engineering fundamentals.
1.4 Demonstrate competence in specialized engineering

knowledge to the program

1.4.1 Apply theory and principles of computer science engineering to solve an engineering problem
PO 2: Problem analysis: Identify, formulate, research literature, and analyse complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
2.1 Demonstrate an ability to identify and formulate complex engineering problem 2.1.1 Evaluate problem statements and identifies objectives

2.1.2 Identifies processes/modules/algorithms of a computer based system and parameters to solve a problem

2.1.3 Identifies mathematical algorithmic knowledge that applies to a given problem

2.2 Demonstrate an ability to formulate a solution plan and methodology for an engineering problem 2.2.1 Reframe the computer based system into interconnected subsystems

2.2.2 Identifies functionalities and computing resources

2.2.3 Identify existing solution/methods to solve the problem, including forming justified approximations and assumptions

2.2.4 Compare and contrast alternative solution/methods to select the best methods                                                                                                                                  2.6.5 Compare and contrast alternative solution processes to select the best process

2.3 Demonstrate an ability to formulate and interpret a model 2.3.1 Able to apply computer engineering principles to formulate modules of a system with required applicability and performance

2.3.2 Identify design constraints for required performance criteria

2.4 Demonstrate an ability to execute a solution process and

analyze results

2.4.1 Applies engineering mathematics to implement the solution

2.4.2 Analyze and interpret the results using contemporary tools

2.4.3 Identify the limitations of the solution and sources/causes

2.4.4 Arrive at conclusions with respect to the objectives

PO 3: 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.
3.1 Demonstrate an ability to define a complex / openended problem in engineering terms 3.1.1 Able to define a precise problem statement with objectives and scope

3.1.2 Able to identify and document system requirements from stake holders

3.1.3 Ability to review state of the art literature to synthesize system requirements

3.1.4 Ability to choose appropriate quality attributes as defined by ISO/IEC/IEEE standard.

3.1.5 Explore and synthesize system requirements from larger social and professional concerns

3.1.6 Ability to develop software requirement specifications (SRS)

3.2 Demonstrate an ability to generate a diverse set of alternative design solutions 3.2.1 Ability to explore design alternatives

3.2.2 Ability to produce a variety of potential design solutions suited to meet functional requirements

3.2.3 Identify suitable non functional requirements for evaluation of alternate design solutions

3.3 Demonstrate an ability to select optimal design scheme for further development 3.3.1 Ability to perform systematic evaluation of the degree to which several design concepts meet the criteria

3.3.2 Consult with domain experts and stakeholders to select candidate engineering design solution for further development

3.4 Demonstrate an ability to advance an engineering design to defined end state 3.4.1 Ability to refine architecture design into a detailed design within the existing constraints

3.4.2 Ability to implement and integrate the modules

3.4.3 Ability to verify the functionalities and validate the design

PO 4: 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.
4.1 Demonstrate an ability to conduct investigations of technical issues consistent with their level of knowledge and understanding 4.1.1 Define a problem for purposes of investigation, its scope and importance

4.1.2 Ability to choose appropriate procedure/algorithm, data set and test cases

4.1.3 Ability to choose appropriate hardware/software tools to conduct the experiment

4.2 Demonstrate an ability to design experiments to solve open ended problems 4.2.1 Design and develop appropriate procedures/methodologies based on the study objectives .

 

4.3 Demonstrate an ability to analyze data and reach a valid conclusion 4.3.1 Use appropriate procedures, tools and techniques to collect and analyze data

4.3.2 Critically analyze data for trends and correlations, stating possible errors and limitations

4.3.3 Represent data (in tabular and/or graphical forms) so as to facilitate analysis and explanation of the data, and drawing of conclusions

4.3.4 Synthesize information and knowledge about the problem from the raw data to reach appropriate conclusions

PO 5: 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.
5.1Demonstrate an ability to identify / create modern engineering tools, techniques and resources 5.1.1 Identify modern engineering tools, techniques and resources for engineering activities

5.1.2 Create/adapt/modify/extend tools and techniques to solve engineering problems

5.2 Demonstrate an ability to select and apply discipline specific tools, techniques and resources 5.2.1 Identify the strengths and limitations of tools for (i) acquiring information, (ii) modeling and simulating, (iii) monitoring system performance, and (iv) creating engineering designs

5.2.2 Demonstrate proficiency in using discipline specific tools

5.3 Demonstrate an ability to evaluate the suitability and limitations of tools used to solve an engineering problem 5.3.1 Discuss limitations and validate tools, techniques and resources

5.3.2 Verify the credibility of results from tool use with reference to the accuracy and limitations, and the assumptions inherent in their use

PO 6: 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.
6.1 Demonstrate an ability to describe engineering roles in a broader context, e.g. pertaining to the environment, health, safety, legal and public welfare 6.1.1 Identify and describe various engineering roles; particularly as pertains to protection of the public and public interest at global, regional and local level
6.2 Demonstrate an understanding of professional engineering regulations, legislation and standards 6.2.1 Interpret legislation, regulations, codes, and standards relevant to your discipline and explain its contribution to the protection of the public

 

PO 7: 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.

7.1 Demonstrate an understanding of the impact of engineering and industrial practices on social, environmental and in economic contexts 7.1.1 Identify risks/impacts in the life-cycle of an engineering product or activity

7.1.2 Understand the relationship between the technical, socio economic and environmental dimensions of sustainability

 

 

7.2 Demonstrate an ability to apply principles of sustainable design and Development 7.2.1 Describe management techniques for sustainable development

7.2.2 Apply principles of preventive engineering and sustainable development to an engineering activity or product relevant to the discipline

PO 8: Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
8.1 Demonstrate an ability to recognize ethical dilemmas 8.1.1 Identify situations of unethical professional conduct and propose ethical alternatives
8.2 Demonstrate an ability to apply the Code of Ethics 8.2.1 Identify tenets of the ASME professional code of ethics

8.2.2 Examine and apply moral & ethical principles to known case studies

PO 9: Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
9.1 Demonstrate an ability to form a team and define a role for each member 9.1.1 Recognize a variety of working and learning preferences; appreciate the value of diversity on a team

9.1.2 Implement the norms of practice (e.g. rules, roles, charters, agendas, etc.) of effective team work, to accomplish a goal.

9.2 Demonstrate effective individual and team operations-communication, problem solving, conflict resolution and leadership skills 9.2.1 Demonstrate effective communication, problem solving, conflict resolution and leadership skills

9.2.2 Treat other team members respectfully

9.2.3 Listen to other members and Maintain composure in difficult situations

 

9.3 Demonstrate success in a teambased project 9.3.1 Present results as a team, with smooth integration of contributions from all individual efforts
PO 10: Communication: Communicate effectively on complex engineering activities with the engineering community and with the 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
10.1 Demonstrate an ability to comprehend technical literature and document project work 10.1.1 Read, understand and interpret technical and nontechnical information

10.1.2 Produce clear, well-constructed, and well-supported written engineering documents

10.1.3 Create flow in a document or presentation – a logical progression of ideas so that the main point is clear

10.2 Demonstrate competence in listening, speaking, and presentation 10.2.1 Listen to and comprehend information, instructions, and viewpoints of others

10.2.2 Deliver effective oral presentations to technical and nontechnical audiences

10.3 Demonstrate the ability to integrate different modes of

communication

10.3.1 Create engineering-standard figures, reports and drawings to complement writing and presentations

10.3.2 Use a variety of media effectively to convey a message in a document or a presentation

PO 11: 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.
11.1 Demonstrate an ability to evaluate the economic and financial performance of an engineering activity 11.1.1 Describe various economic and financial costs/benefits of an engineering activity                                                                                                                                        11.1.2 Analyze different forms of financial statements to evaluate the financial status of an engineering project
11.2 Demonstrate an ability to compare and contrast the costs/benefits of alternate

proposals for an engineering activity

11.2.1 Analyze and select the most appropriate proposal based on economic and financial considerations

 

11.3 Demonstrate an ability to plan/manage an engineering activity within time and budget constraints 11.3.1 Identify the tasks required to complete an engineering activity, and the resources required to complete the tasks

11.3.2 Use project management tools to schedule an engineering project so it is completed on time and on budget

 

PO 12: Life-long learning: Recognise the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.
12.1 Demonstrate an ability to identify gaps in knowledge and a strategy to close these gaps 12.1.1 Describe the rationale of requirement for continuing professional development

12.1.2 Identify deficiencies or gaps in knowledge and demonstrate an ability to source information to close this gap

12.2 Demonstrate an ability to identify changing trends in

engineering knowledge and practice

12.2.1 Identify historic points of technological advance in engineering that required practitioners to seek education in order to stay current

12.2.2 Recognize the need and be able to clearly explain why it is vitally important to keep current regarding new developments in your field.

12.3 Demonstrate an ability to identify and access sources for new information 12.3.1 Source and comprehend technical literature and other credible sources of information.

12.3.2 Analyze sourced technical and popular information for feasibility, viability, sustainability, etc.

 

Courses Outcomes (COs):

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Faculty Details(AIDS,AIML,CIC)
2021-2022
S.No Name Qualification Designation Date of Joining
1 Dr. K Navaz M.E, Ph.D Professor 12.03.2018
2 Mr. Y Pedanarasa Reddy M.Tech Assistant Professor 06.09.2021
3 Mr. G Srinivasulu M.Tech Assistant Professor 10.06.2019
4 Ms. K Susmitha M.Tech Assistant Professor 03.06.2019
5 Mr. S Siva M.Tech Assistant Professor 08.01.2021
6 Mrs. E Swetha M.Tech Assistant Professor 06.09.2021
7 Mr. P Ram Prakash Reddy M.Tech Assistant Professor 06.09.2021
8 Mr. Vittalam D Kumar Reddy M.Tech Assistant Professor 01.04.2021
9 Mrs. T Anuradha M.Tech Assistant Professor 29.09.2021
10 Ms. P Vineela M.Tech Assistant Professor 10.11.2021
11 Ms. J Midhula Sri M.Tech Assistant Professor 10.11.2021
12 Mrs. P. Krishna Jyothi M.Tech Assistant Professor 07.12.2021

Dr.K.Navaz received his BTech (IT) from Anna University  in 2006, MTech(CSE) from JNTUA in 2009. He is working as Associate Professor in Computer Science and Engineering department, Annamacharya Institute of Technology and Sciences, Tirupati. He is a Ratified faculty under by JNTUH, Kukatpally. His current research areas are Computer Networks, Network Design and Simulations, Switch Architecture and Scheduling Algorithms for High Performance Switches.

He has more than 13 years of teaching experience. He has published 30 articles in reputed National/International journals and few papers were published in UGC Approved Journals, Scopus Indexed Journals and SCI Journals. He has applied and published 2 patents on emerging technologies/ ideas. He is an active member of Professional bodies like ICSES, ISTE and IAENG. He showed Active Participation in the Conference Conducted in  Linyi Top Network Co., Ltd, Shandong, China named as ” SOFTWARE BUSINESS EXCHANGE PROGRAM”.

III B. Tech I Semester

S.no. Subject Name File Name
1 Principles of Data Science (20APC3015) Principles of Data Science (20APC3015)
2 Artificial Intelligence (20APC3017) Artificial Intelligence (20APC3017)
3 Big Data Technologies(20APC3019) Big Data Technologies(20APC3019)
4 Deterministic & Stochastic Statistical Methods (20AOE9925) Deterministic & Stochastic Statistical Methods (20AOE9925)
5 Design And Analysis of Algorithms (20APE3001) Design And Analysis of Algorithms (20APE3001)
6 Biology for Engineers (20AMC9901) Biology for Engineers (20AMC9901)

II B. Tech I Semester

S.no. Subject Name File Name
1 Discrete Mathematical Structures (20ABS9914) Discrete Mathematical Structures (20ABS9914)
2 Digital Electronics and Microprocessors (20APC3301) Digital Electronics and Microprocessors (20APC3301)
3 Database Management Systems (20APC3302) Database Management Systems (20APC3302)
4 Object Oriented Programming through Java (20APC3304) Object Oriented Programming through Java (20APC3304)
5 Computer Organization and Architecture (20APC3306) Computer Organization and Architecture (20APC3306)