INSPIRING ACTION THROUGH
CENTRES OF EXCELLENCE

Career Development Center

Vision

The Career Development Center at RVIM is an integral part of the institution. The department aims at providing quality placement opportunities for students and preparing them for fruitful careers in their respective industries. The placement cell is dedicated to facilitate and guide students in achieving the right career objectives.

Objectives

  • To create awareness among students regarding various career opportunities

  • To act as a bridge between students, alumni, and employers

  • To train and prepare students for the corporate sector

Placement Activities

  • On/off-campus placements

  • Updation of recruiters’ list

  • Placement brochures

  • Industrial visits/tours

Centre for Innovation, Entrepreneurship, and Incubation

Vision

At RV Institute of Management, we believe that entrepreneurs of today will run the nation in the coming times. The Centre for Innovation, Entrepreneurship, and Incubation functions in order to facilitate and contribute towards the training and building of startups and to drive students towards entrepreneurial development.

Objectives

  • To instill the spirit of entrepreneurship among students

  • To provide relevant information on successful startups, projects, etc.

  • To be a catalyst in empowering women entrepreneurs

  • To work with rural entrepreneurs and lead rural empowerment

Centre for Wellness

Vision

The Centre for Wellness is an initiative to create a better and healthy environment for students and faculty. Various programmes are conducted to keep the students well informed about mental and physical fitness.

Programmes

  • Stress management programmes

  • Yoga club activities

  • Health camp with diagnostic facilities

  • Dental camp for oral hygiene education

  • Cycling, trekking, and adventure camps

  • First aid training and emergency support

  • Suicide prevention and depression management

Centre for Research and Extension

ABOUT THE RESEARCH CENTRE

  • Bangalore University recognized R V Institute of Management as a Research Centre for the purpose of offering PhD program in Management on 18th June 2009
  • Since then we have been promoting research and offering Ph.D program under the University through the research Centre

 

Charter: Research and Consultancy Centre

  • To promote research in different domains of Management
  • To Promote research-based teaching to make class-room learning more meaningful and practical.
  • Mentoring research scholars to develop their abilities and competencies in research.
  • To offer workshops and Conferences on innovative research methods and techniques to researchers
  • To publish quality research work.

Research policy

  • Faculty are encouraged to take up consultancy assignment and the faculty can retain 60% of their revenue and share 40% with the institute.
  • Faculty are encouraged to attend FDPs, MDPs, Workshops and conferences organized by reputed institutions and institute will sponsor the same.
  • Also Funds research projects of faculty based on the proposals submitted by the faculty.

ACTIVITIES OF THE CENTRE

For Faculty:

  • Motivating and supporting the faculty members to publish more research papers and to participate and present their papers in the conferences.
  • Conducting workshops for the faculty members to support them in their research work
  • To encourage faculty to identify opportunities for the funded projects and submit proposals for the same.
  • To encourage and support faculty to complete their minor and major projects on time.
  • To encourage and support faculty to write at least two case studies in a year.

For Research Scholars:

  • Meeting with research scholars will be held continuously on monthly basis on every second Saturday.
  • Guiding the scholars in their research work as per their requirement
  • Collecting progress report from the scholars on monthly basis and submitting the consolidated report to the director.
  • Conducting workshops for the scholars to support them in their research work.
  • Creating and maintaining database of research scholars (internal and external) associated with RVIMRC
  • Motivating and supporting scholars to publish more research papers and to participate and present their papers in the conferences.

For Students:

  • To orient students towards research and to involve them in the research activities with the faculty members.
  • To encourage and support students to present papers in the conferences.
  • The research center with all the facilities and senior faculty who have completed their PhD and capable of guiding research work are always available in the center to assist the research aspirants in their work.

Centre for Media

  • To provide intellectual access to information and ideas through movies, videos and audio with support of update technology for a diverse student population whose needs are changing rapidly.
  • To promote learning and the edutainment of viewing, and listening.
  • To provide infrastructure and expertise in the use of information and instructional technologies. (Labs, Smart boards, audio, recording, screening, and storing infrastructure).
  • Encourage discussion and analysis from different perspectives. Bringing students & faculty together to share learning experiences.

Centre for Alumni Relations

Vision

The Centre for Alumni Relations of RVIM was created with the sole purpose of building a strong alumni base for the institution. The department conducts its annual alumni meet ‘Sammilana’, to bring past graduates together. Panel discussions are also put together with alumni members, moderated by Dr. A Narasimha Venkatesh, Associate Professor and Coordinator, Alumni Relations.

Centre for Knowledge Resources

Vision

The Centre for Knowledge Resources was established by RVIM as a tribute to the Indian library science. The department celebrates Librarian’s Day annually, as a reminder of the significance of books and library culture. Various discussions and trainings are also organised to discuss the new technologies that can be introduced in libraries.

Centre for Social Responsibility

Vision

The Centre for Social Responsibility at RVIM was initiated to work towards social and community development programmes. It conducts environmental awareness programmes on a regular basis, both in and outside campus. The department also works together with international organisations and NGOs to implement community development programmes.

CSR Programmes and Activities

  • Identification of voluntary blood donors

  • Etiquette for auto drivers

  • Road safety for school children

  • Visits to orphanages

  • Providing support for blind schools

  • Digital literacy for senior citizens

Centre for International Collaborations

Vision

The Centre for International Collaborations was formed to establish active collaborations with international institutions. The department aims at providing wide exposure and instilling cross-cultural skills to both students and faculty.

Active Collaborations

  • Grimsby Institute of Further and Higher Education, United Kingdom

  • Deutsche Management Akademie, Germany

  • City of Glasgow College, United Kingdom and Scotland

  • WSB University, Poland

  • Austin University, United States of America

Centre for International Collaborations- Activities during 2019

  • Inauguration of Institute of Productivity, UK, Centre for India at RVIM on February 25, 2019

  • Signed MoU with DMAN, Germany: Planning local seminar on industry 4.0

  • Signed MoU with Institute of Productivity, UK: Participating in World Productivity Congress

  • Signed MoU with City College of Glasgow, Scotland: first batch visited

  • Signed MoU with WSB University, Poland: Exploring Masters after NOCN Diploma

  • Signed MoU with NOCN, UK: started NOCN International Centre

  • Organised Interaction with Prof Daniel Khan, COO, IOP, UK on the theme “International Immersion experience as an effective pedagogical tool”on September 6, 2019

  • Dr. Mike Dillon and Richard Grice (IOP); Ms. Carla and Prof. Ranjit (CCG); Mr. Stephen (NOCN) Prof. Michael Dixon from Columbia Business School, Prof. from FSHW Germany; Ms. Fathima from Maldives; …. Visited RVIM

  • Ms Carla Murray, Director, International Collaborations and Dr Ranjit from City of Glasgow College, Scotland visited RVIM on 12th Nov 2019 and addressed the students about the international immersion programme.

IOP Centre for India

Charter

  • To offer various programmes in Productivity & Innovation- both short term(certification) programmes and long term (Diploma) Programmes at RVIM
  • To co-ordinate International Immersion Productivity & Innovation Programmes with IOP
  • To lead novel approaches of industry engagement to drive project placement programmes
  • To bid for funded research projects in the area of Productvity- Performance – Profitability and execute the same 

 

Activities organised by the Centre

RVIM  IOP Centre for India has organised various activities as follows:

 

1.Signed MoU with NOCN , UK:

RVIM signed MoU with NOCN, UK  on 6th Sept 2019 with the objective of offering short term certification program, Diploma Program and Extended Diploma Program in the areas of Strategic Leadership Level 7,encouraging short term international immersion programs for students and also for collaborative research. 

2. Visit by Dr Mike Dhillon, CEO, IOP and Dr Richard Grice, Managing Director, Nebula Consultancy, UK

Dr Mike Dhillon, CEO, IOP and Dr Richard Grice, Managing Director, Nebula Consultancy, UK, visited RVIM on 14th September 2019 and discussed about the possible opportunities for students to participate in Immersion programs and also participate in the international competitions in the area of productivity.


3. Interaction with Dr Mike Dhillon on 14.01.2020

RVIM IOP Centre for India organised an interaction of students with Dr Mike Dhillon, CEO, IOP, UK to discuss about the opportunities for students to participate in the international conference organised by World Confederation of Productivity Science for which RVIM is the academic partner. 



4. Visit by Dr Daniel Khan, COO, IOP  and Dr Rajshekar Kori, Former Governor, Grimsby Institute of Further and Higher Education, UK

RVIM IOP Centre for India organised a visit by Dr Daniel Khan, COO, IOP  and Dr Rajshekar Kori, Former Governor, Grimsby Institute of Further and Higher Education, UK

IBM Innovation Centre for Education

Vision

The IBM Innovation Centre for Education is a result of our close collaboration with IBM ICE, to offer additional specialisations to our students in the field of Business Analytics. Students are given a degree in Diploma in Business Analytics, post the successful completion of the course.

Curriculum

  • Introduction to Business Analytics

  • Data Mining and Predictive Modelling

  • Business Intelligence

  • Social Web and Mobile Analytics

RVIM Teaching Learning Centre

Higher Education in the present days has evolved significantly and needs to cater to a globalized scenario. In this context, it becomes imperative for the faculty members to hone their existing skills, develop new skills and learn the nuances of the art, philosophy and science of teaching thereby making the overall teaching-learning process more enjoyable and engaging.

RVIM Teaching Learning Centre strives towards achieving the following objectives:

  • Introduction to Business Analytics

  • Data Mining and Predictive Modelling

  • Business Intelligence

  • Social Web and Mobile Analytics

RVIM SETCONNECT Centre Of Excellence

This Centre of Excellence has been established by RV Institute of Management (RVIM), and SetConnect Inc., to focus on Business Analytics. The objective of this CoE is to provide industry-relevant, certification programmes in Business Analytics for students and working- professionals.

RVIM, a stand-alone premier B-School is part of the prestigious RV group of institutions and has a vision to become a world-class Institute of Eminence. The institute is growing in its competence and capability in Business Analytics. SetConnect Inc., a company based in Austin, Texas, USA has a focus on providing curriculum, technology and global faculty in business analytics, artificial intelligence and allied sciences.

Technology and Management are increasingly getting interconnected and Business Analytics provides the connecting link. Therefore, Business Analytics skills are much sought after. The demand for these skills continues due the increased investment in data-related projects by companies and the growth of AI. The programmes run by the CoE will empower MBAs and working executives with these vital skills.

This centre strives towards achieving the following objectives:

Advanced Certificate in Business Analytics
Business Analytics Fundamentals
MS In Data Science

Centre for Business Analytics

About Certification Course
Certification Course on Predictive Analytics using R

Harvard Business Review in one of its articles rated ‘Business analytics’ as “The most exciting job of the 21st century”. The article highlighted the growing demand for Business Analysts, Data Professionals and Data Scientists, due to the increasing importance of data-driven decision-making in various industries. As it involves a combination of skills from computer science, statistics, and domain expertise making it a unique and highly sought-after profession.

RV Institute of Management, Center for Business Analytics(CBA) in association with Boston IT Solutions India Pvt. Ltd, headquartered in London, UK, is launching an industry-curated Certification Course on Predictive Analytics using R. The course is designed to introduce students to the fundamental concepts of predictive modeling and equip them with the required skills to analyze and interpret data using the R programming language. The course will cover various topics such as data manipulation and transformation, exploratory data analysis, regression analysis, classification techniques and model validation. Students will also learn how to use data visualization tools to effectively communicate their findings and insights.

The course will provide hands-on exposure in using R programming language to build and validate cutting-edge Machine Learning (ML) models to tackle industry-specific challenges. On successful completion of the course, students will have a good understanding of predictive analytics and will be able to apply R programming skills to solve real-world problems. Additionally, students will acquire the ability to effectively communicate their findings and insights through innovative graphs, tables and dashboards.

Further, the course focuses on extensive coverage of widely used real-time applications like Fraud Detection, Customer Lifetime Value Analysis (CLTV), Market Basket Analysis, Customer Segmentation, Churn Prediction, etc. With the knowledge and skills gained from this course, participants can aspire to become Data Scientists, Machine Learning Engineers, and Business Analysts. These jobs often come with high salaries and job security.

Hence this course is an excellent opportunity for individuals seeking to advance their careers and increase their earning potential.
About RVIM
RV Institute of Management, also known as RVIM, is a premier Autonomous B-School located in Jayanagar, Bangalore, the silicon valley of India. RVIM is part of Rashtreeya Sikhsana Samithi Trust (RSST) and RV Group of Institutions. RVIM was established in the year 1999 with the objective of imparting quality management education to students who aspire to become future business leaders.

RVIM is affiliated to Bengaluru City University and is approved by AICTE (All India Council for Technical Education) and recognized by the Government of Karnataka. RVIM is accredited with NAAC A+ and QS-I gauge diamond certification. The institute offers two-year full-time MBA program with various specializations such as Business Analytics, Operations and Supply Chain Management, Entrepreneurship and Startup, Marketing, Finance and Human Resource Management.

The faculty members at RVIM are highly experienced and well-qualified, with a rich blend of academic and industry experience. They use various innovative pedagogical tools such as case studies, simulations, industry visits, live projects, etc. to make the learning process engaging and practical.

RVIM has state-of-the-art infrastructure, ICT & AV enabled classrooms, a well-stocked library, computer labs, 24x7 LMS access, WI-FI enabled campus, etc. The institute also has a Centre for Career Development that help students in placements & internships.
About Centre for Business Analytics (CBA)
The center is established with the sole objective of equipping students with the essential skills required to prepare for an exciting career in business and data analytics. It enables the students to master analytical skills to solve different real-world problems. The center has a state-of-the-art infrastructure with a well-stocked library on analytics and a well-equipped business analytics lab with i7 systems, and associated software for data analytics.

Charter:

1. To develop the required competencies in the domains of business analytics among students through effective teaching-learning evaluation.

2. To develop the competencies among faculty for undertaking quality research in the area of business analytics.

3. To establish, nurture and grow the industry & institutional linkages in the area of business analytics.

4. To offer consultancy services to businesses, NGOs, and government agencies in the area of business analytics.
About Boston IT Solutions India Pvt. Ltd.
Boston IT Solutions India Pvt. Ltd, Bangalore has been operating in India since 2009. Boston India has been growing steadily since its inception and now has offices at key locations in Mumbai, Hyderabad, Chennai, and Delhi. The parent company of Boston Limited was founded in the year 1992 in London, UK. Boston has expanded its operations globally and has been providing IT solutions and AI training for a long time. Boston India is a cutting-edge technology solutions provider, operating via a global network of reseller partners originating from a high-performance, mission-critical server, and storage solutions background. Boston now offers training and consultancy to make technology easily available to everyone. It offers structured and highly customizable courses backed by world-class infrastructure, tools, techniques and delivered by global experts. It also offers consultancy services for Artificial Intelligence, Data Science, and broader technology-related topics.
Course Outcome:

Upon completion of the predictive analytics using R course, students should be able to:

  1. Understand the fundamental concepts like regression, decision tree, clustering and many more techniques of predictive analytics and apply them to real-world problems.
  2. Analyze and transform data using R programming language.
  3. Conduct exploratory data analysis to identify patterns, trends, and relationships in data.
  4. Build and evaluate predictive models using regression analysis and classification techniques.
  5. Validate and optimize predictive models for improved performance.
  6. Use data visualization techniques to effectively communicate findings and Insights.
Syllabus Outline:

This course on analytics covers a wide range of topics, including Business Analytics, Machine Learning and Natural Language Processing (NLP). The syllabus covers frameworks in predictive analytics, data preparation, inferential statistics, supervised and unsupervised machine learning. The course also covers natural language processing techniques such as text analytics, sentimental analysis and vectorization. Overall, this syllabus provides a comprehensive overview of essential concepts and techniques in analytics, making it an excellent choice for those seeking to learn the latest trends in data analytics and machine learning.

Duration: One Month of training sessions on R (50 hours)

Click here for detailed syllabi: https://drive.google.com/file/d/1CZ49fSlGYHoX0_ZpIcykK8aOinjFygQu/view?usp=share_link

Evaluation Plan:

Certificate will be awarded to the candidates on completion of the following:

  1. Minimum 75% attendance & class participation throughout the program (50%Weightage)
  2. Successful completion of the capstone project, presentation and viva voce (50%Weightage)
Capstone Project Guidelines:

1.      Data analysis should be conducted on as per CRISP DM Methodology or TDSP framework.
2.      Minimum Sample Size: 500, Minimum variable size: 15, Minimum Window Period of data analysis: 1 year.
3.      Mentor allocation will be done by RVIM to guide the Mentees.
4.      Data Source: Real-time corporate data or Kaggle data, Github data, NSE data or GOI Census Data, etc.
5.      Project Plan should contain the following:
Business Objective / Problem Statement
Data Understanding
Data Preparation
Modeling
Evaluation
Deployment

6.      Minimum Number of pages for capstone project report: 10
7.      Maximum number of pages:  25
8.      The final report (after the submission) will be checked for plagiarism using the available tool by the institution. The similarity index should be less than 25%.
9.      The project can also be sponsored by the company.
10.  Capstone Project should be completed within one month.

Important Dates:
Date Particulars
30th April 2023 Last date for Registration

 
3rd May 2023 Launch of Certificate Couse on Predictive Analytics Using R
4th May 2023 Commencement of Classes
31st May 2023 End of the training session on Predictive Analytics Using R
1st June 2023 to 30th June 2023 Capstone Project
8th July 2023 Project Viva Voce
15th July 2023 Awarding of the Certification

Venue:  Centre for Business Analytics, RV Institute of Management, Jayanagar 4th T Block, Bangalore -560041

Timings for the training session:  6.30 pm to 9.00 pm (from Monday to Friday)

Mode:  Hybrid (Online/Offline)

Certification Course on Advanced Machine Learning & Deep Learning using Python

Course Description
The course "Advanced Machine Learning and Deep Learning" is a comprehensive exploration of cutting-edge methodologies and applications within the fields of machine learning and deep learning. Building upon foundational knowledge, this course takes students on a journey into the realm of advanced concepts and techniques. Before delving into advanced topics such as ensemble methods and reinforcement learning, students will learn fundamental machine learning principles, including regression, classification, clustering, and dimensionality reduction. The course then shifts its focus to the captivating world of deep learning, where students will gain a deep understanding of Neural Networks, including Convolutional Neural Networks (CNNs) for image recognition, Recurrent Neural Networks (RNNs) for sequential data analysis, and Generative Adversarial Networks (GANs) for data generation. Hands-on experience is a vital component of this course, allowing them to implement and experiment with advanced machine learning and deep learning models using popular frameworks like TensorFlow, PyTorch, Keras and Scikit-learn. Moreover, ethical considerations and responsible AI practices are emphasized throughout the course, ensuring students develop a comprehensive understanding of these technologies' societal impact and implications. By the end of the course, participants will possess the skills and knowledge necessary to tackle complex real-world problems, making them well-prepared for advanced research or professional roles in the exciting field of artificial intelligence.
Course Objective
  • To understand basic concepts of Machine Learning and its applications

  • To understand the basic concepts of Deep Learning and its applications

  • Learn to build machine learning and deep learning models using Python for real-world business problems to make policy recommendations.

  • Gain hands-on experience with real-world datasets and learn to pre-process and clean data for accurate results.

  • Discover best practices for model selection, performance evaluation, and model deployment in real-world scenarios.

  • Develop a strong foundation in Python and data visualization for effective communication of insights and results.
Course Outcome

At the end of each module, participants will be able to:
  • Get a comprehensive understanding of various machine learning models and their implementation in Python

  • Understand a wide variety of supervised machine-learning models to predict outcomes for unseen data

  • Use effectively the various unsupervised machine learning algorithms with specific datasets

  • Understand a step-by-step framework for developing deep learning models

  • Get exposure on various advanced deep learning models and their applications in real-world scenarios
Course Content and Structure ( 50 Hours )

Module 1: Introduction Machine Learning and Python (10 Hours)
  • Machine Learning: Introduction; Applications
  • Environment Setup: Installing Python & Packages, First Python Program, Identifiers, Reserved Words, Line and Indentation, Multi-Line Statements, Quotation, Comments, Data Types, Variables, Operators and Operator Precedence, Decision Making, Loop Control Statements.
  • Data and Data Preprocessing
  • Data Structures: Series, List, Tuple, Dictionary, String & Data frames
  • Introduction to Numpy, Matplotlib, Pandas
  • Data Visualization using Seaborn
  • Exploratory Data Analysis – Data Cleaning, Univariate, Bivariate, and Multivariate Analysis, Hypothesis Testing

Module 2: Supervised Learning Algorithms (12 Hours)
  • Regression & Classification – Linear; Multiple; Logistic Regression; Support Vector Machine; Decision Tree; Random Forest
  • Introduction to Time Series Analysis

Module 3: Unsupervised Learning Algorithms (12 Hours)
  • Association Algorithms – Apriori (Support; Lift; Confidence); Market Basket Analysis
  • Clustering – K-Means Clustering
  • Dimensionality Reduction – Principal Component Analysis
  • Recommendation Engine for E-commerce Platforms

Module 4: Deep Learning (12 Hours)
  • Artificial Neural Networks
  • Recurrent Neural Network
  • Convolution Neural Network
  • Transfer Learning
  • Generative Adversarial Networks (GAN’s)
  • Text Analytics

Module 5: Contemporary Development (Theory-Application Oriented) (4 Hours)
  • Reinforcement Learning
  • Real-time decision making - Traffic Pattern Analysis; Assistance in Ships Direction
  • Temporal Difference (TD)
  • Q-Learning
  • Data Exploration
  • Spam Filtering
  • Tensor flow-Torch-Caffe: GAN Cost Function, GAN Network, Models Deployment in Production
Capstone Project Guidelines:
  1. Data analysis should be conducted as per CRISP-DM Methodology or TDSP framework
  2. Minimum Sample Size: 500, Minimum variable size: 15, Minimum Window Period of data analysis: 1 year.
  3. Mentor allocation will be done by RVIM to guide the Mentee.
  4. Data Source: Real-time corporate data or Kaggle data, NSE data or GOI Census Data
  5. The project Plan should contain the following steps:
    • Business Objective
    • Data Understanding
    • Data Preparation
    • Modeling
    • Evaluation
    • Deployment
  6. Minimum Number of pages for capstone project report: 10
  7. Maximum number of pages: 25
  8. Capstone Project should be completed within 15 days.
Course Evaluation Plan:

Certificates will be awarded to the candidates on completion of the following:

  1. Minimum 75% attendance & class participation throughout the program.
  2. Successful completion of the capstone project, presentation & viva voce.
Important Dates to Remember :
15th July 2023 Last date for Registration
17th July 2023 Launch of Certificate Couse on Predictive Analytics Using R
18th July 2023 Commencement of Classes
13th August 2023 Last Working Day
14th August 2023 to 27 th August 2023 Capstone Project
31st August 2023 Awarding of the Certification

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