mse

Artificial Intelligence and Machine Learning Engineering

About the Department

The Department of Artificial Intelligence and Machine Learning Engineering is an integral part of M.S. Engineering College, Bengaluru aims at bringing out the technical and inherent talents of the young and budding Engineers. The Department was established in the academic year 2020 with intake of 30.Current intake of BE is 30. We are offering a four year BE Artificial Intelligence and Machine Learning Program affiliated with Visvesvaraya Technological University, Belagavi and approved by AICTE, New Delhi.

Department of Artificial Intelligence and Machine Learning Engineering takes special efforts to impart learning ability for the students. The students are focused with the use of conceptual understanding of core domain area in Computing as well as enhanced programming skills disseminating their analytical abilities. The faculties of our department are well qualified and have rich knowledge in their subjects. In order to update their knowledge The staff members are deputed to undergo training in the latest topics.

Department has good interactions and MOUs with leading technology domain Industries. Department is committed to encourage students/researchers to carry out innovative research in the field of Artificial Intelligence and Machine Learning Engineering , keeping excellence in focus and deliver quality services to match the needs of the technical education system, industry and society.

Glimpse of NCETAR 2K19

Vision

To impart the quality education among the students and nurture their ability to become the successful professionals to meet the challenges of industry and society.

 

Mission

  • • To provide the knowledge in the profession and self learning, achieve the excellence in Computer Science & Engineering
  • • To build a creativity, team-spirit and entrepreneurial leadership in Computer Science & Engineering field
  • • To develop skilled professional, strong ethical values and responsible team leadership, work towards the progress of the society

Program Educational Objectives (PEOs)

  • Graduates will achieve successful professional career in IT industry with the approach of lifelong learning.
  • Graduates will possess technical competency to design develop and solve engineering problems related to IT industry.
  • Graduates will attain the qualities of professional leadership to deliver effectively in multidisciplinary global working environment with professionalism and ethical values

Program Outcomes (POs)

  • • Engineering Knowledge Apply the knowledge of mathematics, science, engineering Fundamentals, and an engineering specialization to the solution of complex engineering problems.
  • • 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.
  • • 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.
  • • Conduct Investigations of Complex Problems: Use research-based knowledge and research design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
  • • 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.
  • • 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.
  • • 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.
  • • Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
  • • Individual and Team Work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
  • • 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.
  • • 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.
  • • Life-long learning To 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 Specific Outcomes (PSOs)

  • • Problem solving Skill: An ability to analyze, design and develop the software following the software engineering standards and professional practices to deliver a quality product.
  • • Professional Skill : An ability to exhibit the competency to solve complex software problems in the context of changing technologies with the ability to work and communicate effectively with professionals in industries.

Quality Policy

To develop students towards industry requirements using current technology, innovative practices, skills and tools necessary for computing.

HOD's Message

 

It is a pleasure to head the department of CSE. The department offers BE (CSE) and M-Tech(CSE). The aim of the department is to provide high quality education along with training the students with all the new advancements in the computers field. The department places emphasis on all the important aspects of computers such as High speed networks, Machine Learning, Natural Language Processing, Web Technology, mobile networks , Algorithm Design, Operational research, Advance database systems, Theory of computation , Computer Graphics and many more. The department also takes initiative to improve the soft skills, analytical capabilities and verbal communication of the students so that they can face the competition in the corporate world confidently.

The scope of computer science is endless. The students of the computer science and engineering are highly demanded by the recruiters of the top companies. The department provides platform for the students to achieve their career goals.



Prof., HOD,(Dr.) Malatesh S Havanur
Professor & Head. (CSE)
Artificial Intelligence and Machine Learning Engineering Department
M S Engineering College
E-mail:- hod.cse@msec.ac.in,
Contact No. +91 8310473125

Why Artificial Intelligence and Machine Learning Engineering

The department is helping the students in getting exposure to cutting edge technologies by means of organizing industrial visits and technical talks from domain experts of reputed research organizations. The students are encouraged to involve themselves in creative, technical and research activities. Numerous companies from India employ huge number of computer professionals in their Indian and overseas offices. Therefore, students who complete this program successfully have industrial career opportunities in the technical areas as: Software Engineer, Systems Engineer, Software Developer, Java Developer, Business Analyst, NET Developer, Web Developer, Systems Administrator, Project Manager, Network Engineer and so on. As an alternative career path, the successful student can continue his/her postgraduate education in engineering or management. He / She may also become an entrepreneur.

SWOT

Strengths:

  • • Commitment to Quality
  • • Improving students performance
  • • Increased cooperation within the discipline and with other disciplines
  • • Adequate Lab facility
  • • Certification course from INFOSYS campus connect program since three years (MoU’s)

Weaknesses:

  • •Funding mostly external, fragmented and multi-source, making the conducting of basic research more difficult.
  • •Much publishing at conferences, computer and information sciences therefore not completely commensurable with other disciplines.
  • •Difficulties in securing funding for maintenance and acquisition of medium-priced infrastructures as well as for programming laboratories.

Opportunities:

  • • Clearer career opportunities for young researchers through the tenure-track system.
  • • Industry institute interactive learning to prepare industry ready candidates.
  • • To promote the active engagement of the learner as experimental and experiential learning
  • • Enhancement of research and entrepreneur activity in the field of engineering and technology

Challenges:

  • • Continuous change in technology that challenges the employability of the students.
  • • Information technology unable to attract new talents to the field challenges posed by the ongoing generational change.

Future plans:

  • • MOU to establish research labs with industry
  • • To establish centre for excellence
  • • To start research development projects

 

Faculty

Sl No

Name Qualification Specialization Designation Profile
1 Dr. Malatesh S H M. Tech, Ph.D CSE Professor  & HOD View
2 Dr. Latha Shanmugam M.Phil(CSE), Ph.D Science & Humanities Professor View
3 Mr.  Narayana H.M M.Tech, (Ph.D) Software Engineering Assoc. Professor View
4 Mrs.  Aruna M. G. M.Tech, (Ph.D) CSE Assoc. Professor View
5 Mrs. Dipti Patnayak M.Tech, (Ph.D) CSE Assoc. Professor View
6 Mr.  Madhusudan Reddy M. Tech, (PhD) CSE Asst. Professor View
7 Mr. Ranjan G M. Tech. CNE Assoc. Professor View
8 Mrs. Nisha Choudhary M. Tech Software Engineering Asst. Professor View
9 Mr.  Pradeep M M.E, (Ph.D) CSE Asst. Professor View
10 Mrs. Chandana B S M. Tech CNE Asst. Professor View
11 Mr. Prasanth kumar P V M. Tech CSE Asst. Professor View
12 Ms.  Soumya N S M. Tech CNE Asst. Professor View
13 Mrs. Ambika S R M. Tech CSE Asst. Professor View
14 Mrs. Vinutha M. Tech CSE Asst. Professor View
15 Mrs.Anupama P V M. Tech CSE Asst. Professor View
16 Mr. Pankaj Kumar M.E, (Ph.D) CSE Asst. Professor View
17 Mrs. Varalakshmi K V M.Tech CSE Assist. Professor View
18 Mr.Manoj Kumar R. M.Tech CSE Asst. Professor View
19 Mrs Dhanashree Kuthe M.Tech, CSE Asst. Professor View
20 Ms. P. Sushmitha Singh M. Tech CSE Asst. Professor View

 

MACHINE LEARNING LAB

The laboratory is designed for doing machine Learning related real world experiments implementation and research work. The laboratory is equipped with 22 higher- end systems.

Learning Outcomes: • Understand the implementation procedures for the machine learning algorithms.
• Design Java/Python programs for various Learning algorithms.
• Apply appropriate data sets to the Machine Learning algorithms.
• Identify and apply Machine Learning algorithms to solve real world problems

• Hardware and Software specifications:
• No of Computers: 22
• System/Application Software: Python/Anaconda, Eclipse/JDK,.
• Operating System: Windows 10/Ubuntu14.04


Staff in Charge: Mr. Vishnuvardhan Y

WEB TECHNOLOGY LAB

The laboratory contain 22 higher-end systems intended for web technology projects/experiments work and research.

Learning Outcomes:
  • • Design and develop dynamic web pages with good aesthetic sense of designing and latest technical know-how's.
  • • Have a good understanding of Web Application Terminologies, Internet Tools other web services.
  • • Learn how to link and publish web sites.


Hardware and Software specifications:
No of Computers: 22
System/Application Software: PHP, MYSQL, ECLIPSE, APACHE
Operating System: Windows 10/Ubuntu14.04

Staff in Charge: Mrs. Nisha Choudhary

DAA & DS LAB

To prepare Students to excel in developing programs by illustrating the different data structure concepts and algorithm design strategies. To provide Students with solid foundation in concepts of Data structure and C programming and algorithms.


Learning Outcomes:

  • • Design algorithms using appropriate design techniques (brute-force, greedy, dynamic programming, etc.)
  • • Implement a variety of algorithms such assorting, graph related, combinatorial, etc., in a high level language.
  • • Analyze and compare the performance of algorithms using language features.
  • • Apply and implement learned algorithm design techniques and data structures to solve real-world problems.

Hardware and Software specifications:
  • • No of Computers: 22

  • • System/Application Software: Eclipse/JDK, GCC, TC

  • • Operating System: Windows 10/Ubuntu14.04

Staff in Charge: Mr. Narayana H M

COMPUTER GRAPHICS LAB

To prepare Students to excel in Computer Graphics and Visualization using Application Program Interface(API, OPENGL) and to have a successful careers as software engineers at Indian or multinational companies. To provide Students with solid foundation in Computer Graphics and Visualization, Rasterization, Primitive assembling, Fragmentation, Geometric transformations, viewing and projections, color models and visual surface detection. To train the Students to effectively comprehend, analyze, design and construct Computer Graphics and Visualization applications. Analyze the insights of the Internet programming to design complete applications over the web. Illustrate the usage of the integrated development environment tool called NETBEANS. Explain the syntax and usage of the development tools like HTML, XHTML, DHTML, CSS, and JavaScript for simple web page development. Illustrate the development of the web applications for different end users by using set of development tools like HTML, XHTML, DHTML, CSS, and JavaScript. Evaluate the static web contents and dynamic web contents.

Hardware and Software specifications:

  • • No of Computers: 22

  • • System/Application Software: OPENGL

  • • Operating System: WINDOWS 10/7


Staff in Charge:Mr. Bhavinkumar S

DBMS LAB

COMPUTER NETWORK LAB

CP LAB

SS & OS LAB

MICROPROCESSOR LAB

Research

DETAIL OF LAB-LAND PROJECTS:

Sl No Product Commercial Year Team member
1 Aaron ASIC GUI 2013

Dr. Cyril Prasanna Raj P.

Ravi kumar V.

2 Interactive e-Learning 2013

Santosh B. S.

Sruthy S.

3 NANOCYM 2013

Dr. Cyril Prasanna Raj P.

Ravi kumar V.

4 Real Time Virtual Lab 2015

Sruthy S.

Santosh B. S.

 

Workshops & Seminars

 

Sl No Name Funding Agency Date
01 Guest Lecture on “ Bridging the Industry Academia Gap MSET 21st April 2018
02 One Day National Conference on “Emerging Trends in Engineering Technology and Applied Research MSET & VTU 19th May 2017
03 Expert Lecture on Preamble to IT Projects & Corporate Work Culture MSET 7th April 2017
04 Expert Lecture on “Wireless sensor networks and Its Applications MSET 03 March 2017
05 Roadshow on “Foundation Program 4.0” for Final year Students Infosys CampusConnect 22nd August 2016
06 The great challenge TGMC MSET 23rd Feb 2016
07 The internet of things MSET 9th March 2016
08 Introduction to Smart Cities MSET 22nd March 2016
09 Quantum Mechanics MSET 20th Aug 2016
10 Five Days Microsoft Technology Associate Certification ProgramIOT and Mobile Application Development MSET 24/09/2016 to 29/09/2016
11 Internet of Things MSET 23rd Dec 2016
12 One day Workshop on Ethical Hacking and Real time Application MSET 24th December 2016
13 Road show InfosysCampusConnect 23rd September 2015
14 EduKinsect Training Program MSET 30th October 2015
15 National Conference On Emerging Trends In Engineering & Technology And Applied Research MSET 10th July 2015
16 Overview of Big data and Hadoop Echo System MSET 23rd Sep 2015
17 Android Operating System MSET 30th Sep 2015
18 Oracle Workforce development Program MSET 6th Oct 2015 17
19 Cloud Computing MSET 9 & 10 October 2014
20 Recent Trends in Computers, Communication & Information Technology (RCCIT) MSET 29 April 2013
21 Recent Trends in Computers, Communication & Information Technology (RCCIT) MSET 8 April, 2011
22 Recent Trends in Computers, Communication & Information Technology (RCCIT) MSET 17 & 18 April, 2009

 

 

Alumni

 

 

Sl No Year Alumni List
7 2017 View
6 2016 View
5 2015 View
4 2014 View
3 2013 View
2 2012 View
1 2011 View

 

 

Testimonials CSE:

Abhishek Abraham

Working as Software Engineer in Quinnox. "While studying at MSEC, I grew as an individual, learning to interact and talk to people from different backgrounds"

 

 

 

 

 

 

 

Ashwini B. S.

Working as Sr. Software engineer in Infosys. "MSEC is not only professional in teaching students, but the college is also good at taking care of students."

 

 

 

 

 

 

 

B. M. Karthik

Working as Sr. Software engineer in Infosys. “MSEC develops the overall personality of a student, building confidence in them and provides wide knowledge and exposure to the World booming economy. Personally I was very impressed with the quality of the teaching, material provided to the students and of course an interaction between students and faculty was excellent in class”.
 
 
 
 
 
 

S. Sendhil

Working as Team Lead in Genpact. “It was very helpful in achieving my career goal and convert my Endeavours into real time world. It was very helpful in my studies As well”.

Contact Us

Dr. Anand Kumar
Professor & Head Of Department
Artificial Intelligence and Machine Learning Engineering
M S Engineering College
Email:- hod.cse@msec.ac.in
Contact:- +91 80 4121 5454
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