Artificial Intelligence and Machine Learning

• To strengthen the assimilation process of concepts in AI & ML through experiential learning.
• To create a better Academia-Industry liaison by means of skill enhanced training.
• To develop a support system for Research and Development for broader application in AIML domain.
• To promote Entrepreneurial culture through interaction with collaborative knowledge partners.

The Program Educational Objective of Artificial Intelligence (AI) and Machine Learning (ML) is to mould students so as to exhibit the ability to:

PEO1: Expand knowledge in the field of AI & ML.

PEO2: Develop a continuous learning attitude, ethics, and values.

PEO3: Inculcate abilities and talents, leading to creativity and productivity in the professional and industrial field beyond the curriculum and enhancing employability skill.

PEO4: Self-educate and expand to the innovative entrepreneurship dimension.

PEO5: Provide solutions for technical and social problems through research and innovation.

A graduate of the AIML Program will exhibit the ability to:

PSO1: Understand, analyse, and demonstrate the knowledge of human cognition, Artificial Intelligence (AI), and Machine Learning (ML) in terms of real-world problems to meet the challenges of the future.

PSO2: Incorporate AI and ML techniques for industrial applications in the areas of Autonomous Systems, IoT, Cloud Computing, Robotics, Natural Language Processing, and emerging areas.

PSO3: Develop computational knowledge and project development skills using innovative tools and techniques to solve problems in the areas related to Deep Learning, Machine learning, Artificial Intelligence.

PSO4: Provide solutions to complex problems, using the latest hardware and software tools, along with analytical skills to arrive at cost-effective and appropriate solutions through AI & ML dimensions.

PSO5: Work as a part of the team through effective communication on multidisciplinary projects and successful careers in the computer and information technology industry that meets the needs of a society enriched with professional ethics.

Computer Programming for Problem Solving

• Recognize the various components of the computer and understand the process of executing a simple C program
• Implement programs by making use of various data types, operators and mathematical functions.
• Execute programs using C programming constructs.
• Execute programs using the concepts of functions, Arrays and String manipulation functions.
• Implement programs using pointers and Structures.

Engineering Mathematics III:

• Know the use of periodic signals and Fourier series to analyze circuits and system communications.
  Explain the general linear system theory for continuous-time signals and digital signal processing using the Fourier Transform and z-transform.
• Use methods of correlation, regression and curve fitting to collect, classify and analyze the data
  Employ appropriate numerical methods to solve algebraic, transcendental equations, difference equations and integration, where theoretical approach is unavailable or very difficult
• Apply Green’s Theorem, Divergence Theorem and Stokes’ theorem in various applications in the field of electro-magnetic and gravitational fields and fluid flow problems.
• Determine the extremals of functionals and solve the simple problems of the calculus of variations.

Analog and Digital Electronics

• Explain the operation of JFETs and MOSFETs, Operational Amplifier circuits and their applications
  Describe and interpret different types of combinational logic circuits by using abridge mapping techniques Viz., Karnaugh Maps, Quine-McClusky method and develop program using HDL to simulate the behaviour of various logical circuits
• Design and Demonstrate the Operation of Decoders, Encoders, Multiplexers, Adders and Subtractors and develop program using HDL to simulate the behaviour of various logical circuits. in the domain of economy, performance and efficiency
• Design and implement the working of Latches, Flip-Flops, registers, counters and develop program using HDL to simulate the behaviour of various logical circuits within the realm of economic, performance, efficiency, user friendly and environmental constraints
• Demonstrate the fundamental knowledge of analog and digital electronics to get different types of analog to digitalized signal transformation and vice-versa

Data Structures And Applications

• Explain the basics of Data Structure, its classification, operations & its Representation / allocation in memory, arrays ,String operations and implement them with example programs
  Explain Stack, Queue and recursion operations & their applications and implement them with example programs
• Explain different types of Linked List with their operations, and implement them with example programs
  Explain Binary Tree representations, Properties, its types, and Operations and implement them with example programs
• Explain and Analyse the Graphs, Searching, Sorting hashing, and file organizations and implement them with example programs

Computer Organization

• Explain the basic structure of computers, machine instructions, addressing modes, assembly language, Stacks, Queues, Subroutines and encoding of machine instructions.
• Understand the different ways of communicating with I/O devices and the use of different types of standard I/O interfaces
• Understand the structure of RAM,ROM and cache memories including virtual memories and secondary storage
• Describe & apply various arithmetic and logical operations with integer and floating-point operands.
• Understand the basic processing unit and organization of simple processor, concept of pipelining and other large computing systems

Discrete Mathematical Structures

• Verify the correctness of an argument using propositional and predicate logic, truth tables and rules of inference, also understand the use of quantifiers.
• Demonstrate the ability to prove various concepts using different proof techniques.
• Demonstrate the ability to solve problems using Mathematical Induction, recursive definition and counting techniques on combinatorics in the context of discrete probability
• Understand theoretical concepts on relations, operation on functions and apply the properties of functions to problems.
• Solve problems under principle of inclusion and exclusion, derangements, rook polynomials and recurrence relations.
• Compare graph and trees, and understand the applications of graph theory in computer science.

Software Engineering

• Understand software engineering principles, ethics, software process with software models and requirement engineering.
• Demonstrate system models, using UML diagrams, design patterns and understand RUP.
• Understand,compare various testing and Recognize the importance of software maintenance and describe the details involved in software evolution.
• Apply estimation techniques, schedule project activities ,compute pricing and identify software measurements and metrics for quality management
• Identify the need for agile software development using agile methods and practices

Analog and Digital Electronics Lab

• Classify and List various Electronic Devices like Cathode ray Oscilloscope, Signal generators, Digital Trainer Kit, Multimeter and components like Resistors, Capacitors, Op amp and Integrated Circuit. Explain Verilog HDL concept using IT tools
• Make use of the simulation package to study analog and digital circuits behaviour with the help of modern tools using various mapping and mathematical methods.
• Interpret various analog circuits using IC’s and digital logic circuits using basic gates in the domain of economy and examine the performance and efficiency.
• Design and implement various types of counters using Flip-flops within the realm of economic, performance, efficiency, user friendly and environmental constraints.
• Explain the working of converter and analyze its performance and implement ALU in the domain of efficiency.

Data Structures Laboratory

• Implement a C program to demonstrate operations of linear data structures by using arrays and strings with simple examples.
• Implement a C program to demonstrate applications of stack and queue data structures with simple examples.
• Implement a C program to demonstrate linked list operations and its application with simple examples.
• Implement a C program to demonstrate linked list operations and its application with simple examples.
• Implement a C program to demonstrate hashing technique using division method on files with simple examples.