Top Engineering College in Karnataka for Computer Science-NITTE

Bachelor of Technology in Artificial Intelligence & Machine Learning equips students with the skills and knowledge required to analyse, design and control intelligent systems.The main objective of offering this program is developing professionals who are skilled in the area of AI & ML. This program enables students to gain in-depth understanding of fundamental subjects in Computer Science and deals with technologies like image processing, machine learning, natural language processing, neural networks, deep learning, reinforcement learning and big data analytics. This course is designed for both academic and skill based education to create a bright career for the students

Centre of Excellence in AI and ML is equipped with the latest computers and state of the art amenities facilitating research work and projects for the students and research scholars in addition to regular curricular activities.

Scope and Opportunities

Machine Learning is one of the fastest-growing fields in the technical sector. Enormous modern Industries require the expertise of skilled Artificial Intelligence professionals to expand the scope of Artificial Intelligence into many sectors, including healthcare, transport, security, gaming, voice recognition technologies, smart systems , finance, promotional network development, customer support, prediction and analytics, search engines, product recommendations, fraud detection and many more. Artificial Intelligence has found a very special place in people’s homes as Smart Home Assistants. Computer Engineers and Scientists are striving relentlessly to impart intelligent behaviour in the machines making them think and respond to real-time situations.

Up-skilling is a default part of any career. In the IT industry, learning new skills has become mandatory to stay with the competition. In this aspect, Artificial Intelligence (AI) and Machine Learning (ML) are the best choices for an excellent career in a world which is relying on data. The data-driven operations adopted by almost every industry enhances career options of well-trained professionals.

Amidst all the commotion that AI may replace redundant job roles with automation and smart devices, we are yet to reach the stage where machines would take over our everyday life. So, if you are an AI& ML aspirant looking for a job in the industry, opportunities are aplenty.

The students have opportunities to be recruited by reputed industries like Microsoft, Amazon, Google, Nutanix, Oracle,Cisco, Dell Technologies, Accenture,Informatica, Sony India, Juniper, Commvault, Allegion, Avysh, Cohesity, Clover Bay Technologies, Tismo Technologies, Hashedin, VmWare and many more.
Graduates from the AI& ML program can pursue higher education and research at premier national or international universities with a great scope even in the research field.
With a huge reliance on data driven applications, a career in the field of AI & ML can be very promising as Big Data Engineer, Data Scientist, Machine Learning Engineer, Research Scientist, AI Data Analyst, Data warehouse Engineer, Business Intelligence Developer, AI Engineer, Full stack developer, software Architect, Product Manager, Front end Developer, Robotics Scientist, etc.

Program Specific Outcomes (PSOs)

PSO 1: Apply the knowledge of mathematics, science and engineering fundamentals in solving the problems in the field of Computer Science and Artificial Intelligence.
PSO2: Understand, analyse and develop computer based programs and apply the domain knowledge to provide novel solutions to the existing problems in the discipline.

Artificial Intelligence and Machine Learning Syllabus

SEMESTER 3
CALCULUS-I & LINEAR ALGEBRA
DIGITAL SYSTEM DESIGN
DISCRETE MATHEMATICS
COMPUTER ORGANIZATION & ARCHITECTURE
DATA STRUCTURES
PYTHON PROGRAMMING

SEMESTER 4
PROBABILITY THEORY AND STATISTICS
DESIGN & ANALYSIS OF ALGORITHMS
OBJECT ORIENTED PROGRAMMING IN JAVA
IMAGE PROCESSING
ARTIFICAL INTELLIGENCE
ENHANCING SELF COMPETENCE

SEMESTER 5
INTERNET OF THINGS
MACHINE LEARNING
PATTERN AND VISUAL RECOGNITION
COMPUTER NETWORK AND COMMUNICATION
BIG DATA ANALYTICS
ELECTIVE-I
INTERNET OF THINGS LAB
MACHINE LEARNING LAB
PATTERN AND VISUAL RECOGNITION LAB
EMPLOYABILITY SKILL DEVELOPMENT – I

SEMESTER 6
NEURAL NETWORKS AND DEEP LEARNING
ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING IN HEALTHCARE
NATURAL LANGUAGE PROCESSING
AUTONOMOUS SYSTEMS
ELECTIVE - II
ELECTIVE - III
NEURAL NETWORKS AND DEEP LEARNING LAB
ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING IN HEALTHCARE LAB
NATURAL LANGUAGE PROCESSING LAB
EMPLOYABILITY SKILL DEVELOPMENT – II

SEMESTER 7
BIG DATA ANALYTICS
HIGH PERFORMANCE COMPUTING
PROFESSIONAL ELECTIVE - IV
PROFESSIONAL ELECTIVE - V
OPEN ELECTIVE-I
PROJECT PHASE-II
SEMINAR

SEMESTER 8
PROFESSIONAL ELECTIVE - VI
OPEN ELECTIVE-II
PROJECT -III

PROFESSIONAL ELECTIVE COURSES
HUMAN COMPUTER INTERACTION
SPEECH SYSTEMS
INTERNAT OF THINGS
LOGIC AND AUTOMATED REASONING
CLOUD COMPUTING
WEB PROGRAMMING
MOBILE APPLICATION DEVELOPMENT
ADVANCED UNIX PROGRAMMING
SCRIPTING LANGUAGES
CRYPTOGRAPHY AND NETWORK SECURITY
DISTRIBUTED SYSTEMS
DIGITAL SIGNAL PROCESSING
BITCOINS AND CRYPTOCURRENCIES
CYBER SECURITY
COMPUTER VISION
SENSORS AND SENSOR APPLICATIONS
EXPLORATORY DATA ANALYTICS
BUSINESS INTELLIGENCE
PATTERN RECOGNITION
DEEP LEARNING IN GENOMICS AND BIOMEDICINE
SOCIAL AND WEB ANALYTICS
ROBOT KINEMATICS AND DYNAMICS
INTRODUCTION TO DRONES
DESIGN THINKING
APPLICATIONS OF AI IN HEALTHCARE
SOFT COMPUTING
APPLIED TIME-SERIES ANALYSIS
BIOINFORMATICS
INFORMATION RETRIEVAL AND WEB SEARCH
TEXT MINING
ADVANCED AI AND ML TECHNIQUES
MICROCONTROLLER AND EMBEDDED SYSTEMS

Syllabus - V & VI Semester

For any information regarding the admissions,mail us at: info@nitte.edu.in

Faculty

Dr. SHARADA U SHENOY

Professor & Head

Mr. SUDESH RAO

Assistant Professor Gd.II

Mr. SUDESH RAO

DesignationAssistant Professor Gd.II
Email sudesh.rao@nitte.edu.in
Joining date 02-08-2021

B. E in Computer Science and Engineering from Moodlakatte Institute of Technology ,Kundapura
M.Tech in Computer Science and Engineering from Srinivas School of Engineering ,Mukka
Ph.D pursuing

5 years Experience as Assistant Professor in the Department of Computer Science and Engineering, SSE, Mangalore.
1 Year of experience as Assistant Professor in RNSIT, Bangalore.
7 Months of experience as Assistant Software Specialist in Manipal University, Manipal.
2 years and 6 Months of work experience as a Lecturer in PPC Udupi.

Data Mining
Machine Learning.
Web Programming

C Programming
C++ with Object Oriented Concepts
Java Programming
System Software
Data Structure
Database management System

Published paper on, "A survey paper on a novel approach for forecasting health care using data mining ", International Journal, IJSREM , Volume 5, Issue 6 June 2021.
Published paper on, "Smart Reader for Visually Impaired ", International Journal, IEEE Xplore, Volume 7 Issue 4 April 2020
Published paper on, "Painting style of texture for virtual Dressing room using convolutional Neural Network", International Journal, IRJET, Volume 7 Issue 4 April 2020
Published paper on, "Computerized video Surveillance gadget for pedestrian crossing the use of Digital Image Processing", International Journal, IRJET, Volume 7 Issue 4 April 2020
Published paper on "Survivelence of Rouge Wild Animals Using Image Processing and IOT" at ICAIT-2019, IEEE International Conference, Adichunchanagiri Institute of Technology, Chikkamagaluru during 25-27 July 2019.
Published paper on " Novel Approach in revolting wild animals from farmland using image Processing" International Journal , IRJEM, Volume 3, Issue 5 May 2019.
Published paper on "Airplane Crash Analysis using LDA", International Journal ,IRJET. Volume 5 issue 4 April 2018.
Published paper on "A Novel Approach For Prediction Of Diabetes Using Genetic Algorithm", International Journal, IJAER. January 2016.
Published a paper on " Implementation of Speedup authentication protocol for VANET" , in International Journal , IJARCSSE, Volume 5 , issue 4 , April 2015
Presented a paper on "Novel approach to predict the diabetes of our future generations by using GA", at MANEGMA 2015, National Conference, SIMS Mangalore on April 23 2015.
Presented a paper on "Applying Data Mining Technique and genetic algorithm to predict the diabetes of our future generation" at National Seminar, Vivekananda College, Puttur on Dec 17, 2014.
Presented a paper on "Applying Data Mining Technique to predict the diabetes of our future generation "at ISRACE, International Conference, Bangalore on Oct 31, 2014.

Ms. DISHA D N

Assistant Professor Gd.II

Ms. DISHA D N

DesignationAssistant Professor Gd.II
Email disha.dn@nitte.edu.in
Joining date 13-09-2021

BE- (Computer Science and Engineering), MITE, Moodabidri -2014
M.Tech-(Computer Science and Engineering), M S Ramaiah Institute of Technology, Bangalore - 2016
PhD (Machine learning) pursuing - (2018 registered)

4 years of Teaching Experience as an Assistant Professor at Nitte Meenakshi Institute of Technology, Bangalore
1 Years of Teaching Experience as an Assistant Professor at RNS Institute of Technology Bangalore
1 Year of Industry Experience at Hewlett Packard Enterprise (HPE), Bangalore

Machine Learning
Deep Learning
Artificial Intelligence
Image Processing
Social Network Analysis

Gold Medallist in M. Tech (2016) at M S Ramaiah Institute of Technology
Gold Medallist in B. E (2014) at MITE, Mangalore
Academic Excellence certificate at MSRIT, Bangalore

Data Mining
Bigdata
Database Management System
Advances in Database Management System
Analysis and Design of Algorithms
Operating Systems
Computer Graphics and Visualization

Disha D N, Dr. Seema S, Dr. Aditya Shastry, "Prediction and Detection of Autism spectrum Disorder by using machine learning Algorithms", inICETE- AIDE-2020, SPRINGER Publication 2020
Bhavyashree Nayak, Priyanaka S, Raksha Rao, Saloni, Disha D N, Swarnalatha K S, "GEO-FENCING BASED ACCIDENT-AVOIDANCE NOTIFICATION FOR ROAD SAFETY" in Proceedings of FifthInternational Conference on 'Emerging Research in Computing, Information, Communication and Applications', SPRINGER publications (ERCICA-2018)
Disha D. N, Sowmya B J, Chethan Shetty and Dr. Seema S, "An Efficient Framework of Data Mining and its Analytics on Massive Streams of Big data Repositories", presented in an "International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER 2016) during 13-14 August 2016, NITK Surathkal, IEEE publications"
Disha D. N, Chethana H R, "Deduplication in cloud computing using Hybrid Cloud", published in an International Journal of Computer Science and Engineering (IJCSE), ISSN: 2278-9979, Volume 6, Issue 2, 2017, Impact Factor(JCC)-2016:4.6723; NAAS rating 3.17
Disha D N, Rachana N B, Deepika Kumari, Nidhi, "Phishing and Anti-phishing: A review", published in IJERT on 2016

Ms. RAKSHITHA

Assistant Professor Gd-I

Ms. RAKSHITHA

DesignationAssistant Professor Gd-I
Email rakshitha.s@nitte.edu.in
Joining date 06-07-2022

BE- Shree Devi Institute Of Technology,Mangalore-VTU-2010
M.Tech- NMAMIT, Nitte -VTU-2017
Ph. D –Registered in VTU -2021 (Natural Language Processing, Deep Learning)

Worked as Assistant Professor at SJEC,Mangaluru from August 2021 to July 2022.
Worked as Assistant Professor at CMRIT,Bangalore from April 2018to May 2019.
Worked as Assistant Professor at Yenepoya Institute of Technology,Moodbidri from July 2015 to June 2017.
Worked as Lecturer in CSE department at Dr. M.V.Shetty Institute of Technology, Moodbidri from August 2010 to June 2015.

Natural Language Processing
Deep Learning

Life Member of Indian Society for Technical Education (ISTE).

Natural Language Processing
Data Mining and Data Warehousing
Clouds grids and Clusters
Cloud Computing
Computer Networks and Security
Web Technology and It's Applications
Software Testing
Logic Design
UNIX Shell Programming
Computer Concepts and C Programming
Computer Organization
System Software
Advanced Computer Architectures

Presented paper titled "A New Hybrid Symmetric-key Technique to Enhance Data Security of Textual Information using Random Number Generator" in IEEE Technically Sponsored International Conference on Smart Technologies for Smart Nation (SmartTechCon2017) on 17-19 August 2017 at REVA University, Bengaluru, India.
Published Paper titled "A New Hybrid Symmetric-key Technique to Enhance Data Security of Textual Information using Random Number Generator" in IEEE journal https://ieeexplore.ieee.org/document/8358602
A Paper titled "A Child-Left behind Warning System Using Capacitive Sensing Principle" published in International Journal of Innovative Research in Computer and Communication Engineering (IJIRCCE) Vol. 5, Issue 5, May 2017. DOI: 10.15680/IJIRCCE.2017. 0505138

Mr. MAHESH B L

Assistant Professor Gd-II

Mr. MAHESH B L

DesignationAssistant Professor Gd-II
Email mahesh.bl@nitte.edu.in
Joining date 25-07-2022

Master of Technology in “Computer Science and Information Security(CSIS)” from Manipal Institute of Technology (A constituent institute of Manipal University), Manipal, Karnataka-2013.
Bachelor of Engineering in “Computer Science (CSE)” from Canara Engineering College (Affiliated to VTU Belagavi), Benjanapadavu, Bantwal, Karnataka – 2010.

Worked as an Assistant Professor for 4 years at Y.I.T. (Yenepoya Institute of Technology, Moodbidri) affiliated to VTU, Belagavi.(2018-2022)
Worked as an Assistant Professor for 4 years and 10 months at V.C.E.T. (Vivekananda College of Engineering and Technology, Puttur) affiliated to VTU, Belagavi.(2013-2018)
Worked as a Lecturer for 10 months at M.I.T.E. (Mangalore Institute of Technology and Engineering, Moodbidri) affiliated to VTU, Belagavi.(2010-2011)

Artificial Intelligence
Machine Learning

Life Member of Indian Society for Technical Education (ISTE).

Object Oriented Programming with C++
Graph Theory & Combinatorics
Design and Analysis of Algorithms
Analog and Digital Electronics
Operating Systems
Database Management System
Computer Networks
Operations Research
File Structures
Data Mining
System Modelling and Simulation
Decision Support Systems
C# & .NET
JAVA and J2EE
Automata Theory and Computability
Microcontrollers and Embedded Systems

Program

Bachelor of Technology (BTech)

Duration - 4 years
Semester - 08
Intake - 60 Students

Artificial Intelligence & Data Science

UG INTAKE

60

DURATION

4 Years

Scope and Opportunities

For any information regarding the admissions,mail us at: info@nitte.edu.in

Faculty

Dr. SHARADA U SHENOY

Mr. SUDESH RAO

Ms. DISHA D N

Ms. RAKSHITHA

Mr. MAHESH B L

Program

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Artificial Intelligence & Data Science

UG INTAKE

60

DURATION

4 Years

Scope and Opportunities

For any information regarding the admissions,mail us at: info@nitte.edu.in

Faculty

Dr. SHARADA U SHENOY

Dr. SHARADA U SHENOY

Educational Qualifications

Past Experience

Areas of Interest

Achievement

Departmental Responsibilities

Professional Memberships

Subjects Handled

Conferences/CME/Workshops

Conference/Journal publications

Mr. SUDESH RAO

Mr. SUDESH RAO

Educational Qualifications

Past Experience

Areas of Interest

Subjects Handled

Conference/Journal publications

Ms. DISHA D N

Ms. DISHA D N

Educational Qualifications

Past Experience

Areas of Interest

Achievement

Subjects Handled

Conference/Journal publications

Ms. RAKSHITHA

Ms. RAKSHITHA

Educational Qualifications

Past Experience

Areas of Interest

Professional Memberships

Subjects Handled

Conference/Journal publications

Mr. MAHESH B L

Mr. MAHESH B L

Educational Qualifications

Past Experience

Areas of Interest

Professional Memberships

Subjects Handled

Program

Ms. Rhea Rodrigues

Mr. Amol Revankar

Ms. Deeksha Bangera

Ms. Deeksha S N

Mr. Manjunatha U

Ms. Pallavi

Ms. Preethika Anchan

Mr. Rameez Shuhaib

Mr. Shashank S Shetty

Ms. Siri Vikyath

Ms. Vandana Nayak

Ms. Varsha P

Mr. Vineeth Bangera

Mr. Akshay Kumar

Mr Glenn Thomas Alex

Mr Kartikay Dwivedi

WHAT STARTS HERE CHANGES THE WORLD

WHAT STARTS HERE
CHANGES THE WORLD