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Artificial Intelligence and Machine Learning

Artificial Intelligence and Machine Learning Department was inducted into AIET formally during 2020-21 under the flagship of Visvesvaraya Technological University (VTU), Belagavi with an intake of 60 students per year. AI & ML, itself is a broad technological ecosystem in the engineering world of academics and research leading to interdisciplinary innovations. Though a fascinating course relatable to real world innovations of the AI realm viz., Amazon’s Alexa, Google assistant, Apple’s Siri, Microsoft’s Cortana etc. by the young minds, there is a serious effort made by the department to dwell upon the foundations of the AI & ML course. The areas focussed in the course of AI & ML would be creating algorithms and developing scientific understanding for a wide range of topics including computer vision, speech and audio processing, natural language processing, machine learning and learning theory, and cognitive systems, on a broader sense.


112 +
Number of Students

6 +
Number of Faculties

49 +
Internships

%
Placements
  • Vision

    Foster competent professionals by instilling knowledge and skills in the Artificial Intelligence and Machine Learning realm to cater needs of industry and community

  • Mission
    • 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.
  • PROGRAMME EDUCATIONAL OBJECTIVEs (PEOs)

    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.

  • PROGRAMME SPECIFIC OUTCOMEs (PSOs)

    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.

  • COURSE OUTCOMES(COs)

    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.

Placed Students

Recruiters

BYTESTRUCK 2K21- A Technical Fest

It was inaugurated in Alva’s Institute of Engineering and Technology, Mijar, by Dr. Richard Pinto, Professor- Emeritus, Head R &...

Circular
Objectives

  • To support students throughout their engineering program academically as well as emotionally and act as a local guardian, thereby assist them to enhance their academic performance and achieve goals.
  • To fill in confidence to improve their academic performance in slow learners thorough one to one interaction session in prerequisites and fundamentals of topic of interest in the engineering program.

Guidelines

  • Based on previous academic performance, slow learners are identified by the Head of the department (HOD).
  • The HOD will allot, one faculty mentor to 1-3 slow learners. Each mentor should maintain a Proctor form with details like parents/guardian’s name, addresses, contact numbers and academic details, academic scores.
  • More emphasis should be given to monitor the academic progress and design corrective measures for their prerequisites-fundamentals and facilitate them to improve their academic score.
  • Mentor should meet the student at least once in a week or whenever required.

Functions of Mentor

Sl. No. Type of mentoring system Functions
1. Academic guidance Share information of academic planners, academic schedules and e-learning resources.

Identify students with poor attendance and ensure that they improve their attendance by getting counselled in the presence of mentor, counsellor and HOD

Focus on academically weak students, by providing them with additional reading materials, model questions along with solutions and special make-up classes.

2. All – round development Encourage and support students towards all round development through participation in literary, cultural and sports activities which helps to develop leadership qualities, decision making abilities, team spirit, socio-psychological awareness, and shapes the student into an intellectually integrated person.
3. Personal development Empower and enable inner adjustments by individual students to counter and cope with physical, emotional, mental, social and environmental challenges through student-counsellor interaction/ through meditation workshops/ through other specialized workshops / activities.

Engage in family /peer counselling by Counsellor/ Mentor /HOD to strengthen student’s interpersonal relationships thereby improving their grades.

  • Parent meetings will be conducted regularly for bringing parents into the student mentoring system as key stake-holders.

Mentor - Mentee details

Semester   : III B. E.  
Sl# USN Name of the Mentee Name of the Mentor
1 4AL20AI001 ABDULLAH Mr. Kiran Raj K M 7760598078
2 4AL20AI002 AMAN KHADIRSAB KONNUR
3 4AL20AI003 ANKIT MANOHAR CHAVAN
4 4AL20AI004 ANUSH L POOJARY
5 4AL20AI005 ARAV HANSHIK
6 4AL20AI006 ASHISH P B
7 4AL20AI007 AWEZ AHAMED
8 4AL20AI008 B R SUHAAG
9 4AL20AI009 BHOOMIKA
10 4AL20AI010 CHIRAG G
11 4AL20AI011 DAKSH UPPOOR
12 4AL20AI012 DEEKSHITH R
13 4AL20AI013 DELTAN GLERAN LOBO
14 4AL20AI014 DIVITH R RAO
15 4AL20AI015 GOUTHAM JAGADEESH SAMNEKAR
16 4AL20AI016 H BHAVANA
17 4AL20AI017 HARSHA K
18 4AL20AI018 JESWIN
19 4AL20AI019 KARAN KUMAR
20 4AL20AI020 KEERTHANA K
21 4AL20AI021 KEERTHANRAJ M D SHETTY Mr. Sampath Kumar 8073209516
22 4AL20AI022 M ASHOK KUMAR
23 4AL20AI023 MALINI K A
24 4AL20AI024 MARVIL VINITH LOBO
25 4AL20AI025 MOHAMMED AMAN
26 4AL20AI026 NIKHIL G B
27 4AL20AI027 NITIN HEMA RAJ
28 4AL20AI028 PRAJWAL P PAVSEKAR
29 4AL20AI029 PRANJAL NAIDU
30 4AL20AI030 PRASANNA NARAYANA P
31 4AL20AI031 PRATHAM P
32 4AL20AI032 PRATHIK N R
33 4AL20AI033 PRATHIK PADMANABHA SHETTY
34 4AL20AI034 PREETHAM
35 4AL20AI035 PUTTARAJ C TEMBADAMANI
36 4AL20AI036 SASHREETH K S
37 4AL20AI037 SATHYAM A V
38 4AL20AI038 SATYAM PAWALE
39 4AL20AI039 SHAILESH RAO
40 4AL20AI040 SHIVADEEP U S
41 4AL20AI041 SHREYAS Prof. Harish Kunder Mob: 7026212555
42 4AL20AI042 SHRIPRASAD
43 4AL20AI043 SIDDHANTH C SHETTY
44 4AL20AI044 SIDDHARTHA T HADIMANI
45 4AL20AI045 SOUPARNIKA U S
46 4AL20AI046 TARUN D R
47 4AL20AI047 THEJAS
48 4AL20AI048 ULLAS H U
49 4AL20AI049 VISHMA D

Activities conducted

Parent Teacher meeting report

parents meeting 9th November 2021

Life skill training report

LIFE SKILL REPORT

Academic Performance Report
  1. Prof. Harish Kunder, Associate Professor & Head, Department of Artificial Intelligence & Machine Learning has Published manuscript titled “ “Automatic Online Exam Proctoring System using Artificial Intelligence and Machine Learning”” in Journal of Chengdu University of Technology ( ISSN-NO- 1671-9- 727, PAPER ID: CDU -0721-265 Volume 26 Issue 7, August 2021) – Reported in scopus
  2. Prof. Harish Kunder, Associate Professor & Head, Department of Artificial Intelligence & Machine Learning has Successfully completed One Week AICTE – VTU Joint Teachers Training Programme on “An Overview of Teaching Techniques in Innovation & Design Thinking” between 27th & 31st December 2021 Organized by VTU Human Resource Development Centre (VTU – HRDC), Centre for PG Studies, VIAT, Muddenahalli, Chikkaballapur (Dist.) – 562101.
  3. Prof. Harish Kunder, Associate Professor & Head, Department of Artificial Intelligence & Machine Learning has Successfully completed one week ATAL Faculty Development Program on “Introduction to Deep Learning” from 2021-12-20 to 2021-12-24 at University Visvesvaraya College of Engineering, KR Circle, Bengaluru – 560 001.
  4. Prof. Harish Kunder, Associate Professor & Head, Department of Artificial Intelligence & Machine Learning has Successfully completed one week ATAL Faculty Development Program on “Artificial Intelligence and Machine Learning for Healthcare ” from 2021-12-13 to 2021-12-17 at College of Engineering, Pune.
  5. Prof. Harish Kunder, Associate Professor & Head, Department of Artificial Intelligence & Machine Learning has Successfully completed one week ATAL Faculty Development Program on ” Real Time Problems and Solutions with AI & ML using R Programming ” from 2021-12-06 to 2021-12-10 at Galgotias University .
  6. Prof. Harish Kunder, Associate Professor & Head, Department of Artificial Intelligence & Machine Learning has Successfully completed 5 days Faculty Development Program on “ Data Analysis and Mining with Python “ organized by CMR Engineering College, Hyderabad held from 8th -12th November 2021
  7. Prof. Harish Kunder, Associate Professor & Head, Department of Artificial Intelligence & Machine Learning has Successfully completed 5 days Faculty Development Program on “ Skills for Evolving Education System “ organized by ICT Academy held from 23rd – 27th August 2021.
  8. Prof. Harish Kunder, Associate Professor & Head, Department of Artificial Intelligence & Machine Learning has Successfully completed one week ATAL Faculty Development Program on “Artificial Intelligence and its Applications” from 2021-06-07 to 2021-06-11 at Government college of Engineering, Nagpur.

Mr. Prathik Shetty has represented Alva’s Institute of Engineering and Technology Kabaddi Team Men – Winners in VTU inter collegiate Mangalore zone and Inter zonal championship 2021

Mr. Satyam Pawale, II Year AIML, has secured the first prize in Future of Health Hackathon Competition organised by Confederation of Indian Industry – Yi Bengaluru

Mr. Satyam Pawale, II Year AIML, has participated in IDEATHON 2021 : A startup Idea competition, organized by A. G. Patil Institute of Technology, Solapur, Maharashtra

Faculty Development Programme on the theme Vedic Maths

One day Faculty Development Programme on the theme “Vedic Maths” was organized on 13th September 2021, by Alva’s Institute of Engineering & Technology, Moodbidri, Karnataka.

The formal inaugural function was graced by the presence of our Managing Trustee Mr. Vivek Alva and Shri. Ravi Kumar Iyyer, TedX Speaker.

152 faculty members were attended Faculty Development Programme on the theme “Vedic Maths” by Shri. Ravi Kumar Iyyer. He has conducted more than 200 Yoga camps and 200 youth motivational camps in 40 countries and has conducted over 500 workshops on Vedic Mathematics at many prestigious universities in 20 countries.

He has discussed the Vedic Maths tricks and wonderful applications of Arithmetical computation, theory of numbers, mathematical and algebraic operations, higher-level mathematics, calculus, and coordinate geometry. Sir also discussed the 16 suthras
of Vedic Maths.

Student Development Program on Python Programming

Program Objective:

  1. Students to acquire knowledge and skill on python programming upon completion of program
  2. students will be able to work on case studies

About the Program:

Python is a high-level, interpreted, interactive and object-oriented scripting language. Python is designed to be highly readable. It uses English keywords frequently where as other languages use punctuation, and it has fewer syntactical constructions than other languages.

Program Schedule:

Training Start: 8th December 2021
Training End: 8th January 2022
Timing: 1:40PM am to 5:00 PM (Monday to Saturday)

Resource Persons:

  1. Mr. Richard Franklin
  2. Mr. Prajwal
  3. Ms. Felomina
  4. Mr. Tushit Shukla
  5. Mr. Laxman Budhihal

Program Coverage:

Various topics associated on Python Programming were covered in 5 weeks program. Below is the week wise coverage along with assignments.

Week1: Introduction to Python Programming, Iterative statements and keywords
Week 2: Strings
Week 3: Lists, dictionaries and tuples
Week 4: Regular Expressions
Week 5: Classes and user defined functions

References:

  1. https://www.w3schools.com/python/
  2. https://www.geeksforgeeks.org/python-programming-language/
  3. https://stackoverflow.com/

Program Outcome:

  1. Understanding basic of Python
  2. Solving Aptitude questions of Python

Training Program on AI use cases and Data Solutions

Department of Artificial Intelligence and Machine learning, Alva’s Institute of Engineering and Technology, Mijar in association with iMerit Technology Services Pvt. Ltd., Kolkata, organised 5 days online training program on “ AI use cases and Data Solutions” for all the Engineering students from 22 nd October, 2021 to 27 th October 2021.

Program Objective:

  • Students to acquire knowledge and skill on AI use cases and Data Solutions upon completion of program
  • Students will be able to work on AI case studies

About the Program:

The main focus of the program is to understand the Artificial Intelligence Use cases like developing smarter products, developing smarter services, making business processes more intelligent etc., and data solutions.

Program Schedule:

Training Start: 22 nd October 2021
Training End: 27 th October 2021
Timing: 5 PM to 7 PM

Resource Persons:

  1. Ms. Preeti Mehta, Manager, Learning & Development
  2. Mr. Mohammed Raza, Team Lead, Learning & Development
  3. Mr. Rahul Roy

Ideathon 2021 on the theme Effective usage of Online Platform

Ideathon 2021 on the theme “Effective usage of Online Platform” was organized on 11th September 2021, by Department of Artificial Intelligence and Machine Learning, Alva’s Institute of Engineering & Technology, Moodbidri, Karnataka.

The formal inaugural function was graced by the presence of Head of the Department Prof. Harish Kunder, Prof. Vasudev Shahapur, Depart of Computer Science & Engineering and Dr. Shashi kumar K, Department of Physics.
28 students were actively participated and shared their innovative ideas on the theme “Effective usage of Online Platform”.

Finally the three evaluators Prof. Harish Kunder, HOD, Department of Artificial Intelligence & Machine Learning, Prof. Vasudev Shahapur, Depart of Computer Science & Engineering and Dr. Shashi kumar K, Department of Physics concluded the event by announcing the event winners.

I prize: Mr.Nitin Hema Raj ( 4AL20AI027)
II Prize: Mr. Satyam Pawale ( 4AL20AI038)
III Prize: Mr. Prajwal Pavsekar ( 4AL20AI028)
IV Prize: Ms. Keerthana K (4AL20AI020)
V Prize: Mr. Shivadeep U S (4AL20AI040)
VI prize: Ms. Sowparnika U S (4AL20AI045)
VII prize: Mr. Nikhil G B (4AL20AI026)
VIII prize: Mr.Ullas H U (4AL20AI048)
IX prize: Mr. Shriprasad (4AL20AI042)
X prize: Mr. Prasanna Narayana (4AL20AI030).

MOUs WITH UNIVERSITIES, GOVT ORGANIZATIONS AND INDUSTRIES

  • Dlithe Consultancy Services Pvt. Ltd.
  • iMerit technology Services Pvt. Ltd.
  • YBI Foundation
  • Internshala
  • V&G INDUSTRIAL TESTING LABORATORY PVT LTD
  • SKF BOILERS AND DRIERS
  • DIAT (DEFENCE INSTITUTE OF ADVANCED TECHNOLOGY), PUNE
  • KUMAMOTO UNIVERSITY, JAPAN
  • CADD CENTRE MOODBIDRI
  • DEPARTMENT OF MARINE GEOLOGY MANGALORE UNIVERSITY, MANGALA GANGOTHRI
  • AGRIMA ROOF AND FAÇADE SYSTEMS, BANGALORE
  • SAI CADD, BANGALORE
  • DESIGN HUB- INDIA, BANGALORE EXTRA-CURRICULAR WING OF THE PRESTIGIOUS RNS
  • SCHOOL OF ARCHITECTURE
  • KANARA CHAMBER OF COMMERCE & INDUSTRY, MANGALURU
  • IIIT, ALLAHABAD
  • SEMI-CONDUCTOR LABORATORY (SCL), CHANDIGARH
  • ENTREPRENEURSHIP DEVELOPMENT INSTITUTE OF INDIA
  • OSCKI LABS, BANGALORE
  • EY_GDS
  • EMURGO LEARNING SOLUTIONS
  • QSPIDERS
  • TECHGIG
  • AMPHISOFT TECHNOLOGIES
  • AMCAT
  • TATA CONSULTANCY SERVICES
  • UIPATH
  • INDUSLYNK
  • JV GLOBAL
  • NEXTGEN
  • MILLIONMINDS

Upcoming Events

HEAD OF DEPARTMENT

Mr. Harish Kunder

Associate Professor B.E, M.Tech, (Ph.D)
08258 - 262725 aietaiml08@gmail.com

Send An Enquiry

    Teaching Faculty

    Mrs. Remul Pinto

    Asst Professor

    Mrs. Remul Pinto

    Asst Professor
    B.E, M.Tech
    08258- 262724 / 25

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    Ms. Vanisha

    Assistant Professor

    Ms. Vanisha

    Assistant Professor
    B.E, M.Tech
    08258- 262724 / 25

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    Kiran Raj K M

    Assistant Professor

    Kiran Raj K M

    Assistant Professor
    B.E., M.Tech.
    08258- 262724 / 25
    kiranraj@aiet.org.in

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    Sampath Kumar S

    Assistant Professor

    Sampath Kumar S

    Assistant Professor
    BCA., MCA., (Ph.D.)
    08258- 262724 / 25
    Sampath1447@gmail.com

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