Upcoming Events

Faculty Development Program (FDP) on Innovative Teaching Methods - May 31, 2024

The pedagogy of the teaching-learning environment has experienced significant changes over time, keeping the ever-changing business scenario. Today, imparting knowledge with the help of creativity and innovative tools, facilitated by behavioural and technological interventions, has become the order of the day. On one hand, these innovative instructional strategies facilitate more enjoyable learning environments and on the other, the trainers and faculty members get the opportunity to create a more hands-on learning environment in the class. This FDP aims to bring insight into certain innovative teaching methods, by using hands-on experiences, which faculty members may incorporate during their sessions, irrespective of the subjects they are handling.  

-----> Objectives of the FDP

  1. To introduce the design and customization of teaching approaches suiting student needs.
  2. To present new and innovative ways of engaging students in the classroom.
  3. To identify and apply new technology that will improve the ability of class projects, assignments and to presentation of ideas.
  4. To share the use of new teaching strategies to make classes more lively, interactive, and interesting.

-----> Topic Coverage / Outline

  • The program is intended to provide faculty with an idea about the case method of teaching. It also equips participants with how to handle the case discussion session and enhances its effectiveness.
  • Designing role play and group activities will be introduced so that teachers and students can make the best out of this teaching methodology.
  • Hands-on sessions on the use of Artificial Intelligence tools in preparation for class projects, assignments and presentations will be covered as part of the technology adoption.
  • Introducing the conceptual framework to design a course for making the students socially responsible, socially relevant and socially inclusive. With a case study of ‘Social Enterprise Research’.

-----> Pedagogy

Lecture method, case discussion, activity-based and hands-on session


-----> Participants Expected Profile

Faculty Members from Undergraduate and Postgraduate Institutions


-----> Resource Persons

Dr. Mousumi Sengupta, a seasoned academic, holds a PhD from IIT Kharagpur and a Master's in HRM from Thames Valley University. She is an Ex-Chairperson of SDM RCMS at SDMIMD, with over 20 years of experience in OB and HRM. Dr. Mousumi has authored books, won awards, and mentored at various esteemed institutions globally. She is a registered PhD guide at University of Mysore, with a track record of presenting papers and training for public and private sector companies. Dr. Mousumi was honored as the Best Professor in Human Resources Management by the Asia Pacific HRM Congress in 2022.

Dr. Sunil M.V., specializing in Systems and General Management, former Head of Academic Administration and former Co-ordinator for SDM Research Centre for Management Studies (SDM RCMS). He is a Certified professional from American Library Association (ALA) and IIM Bangalore. Dr. Sunil's intellectual contributions extend beyond the classroom. He has authored papers featured in reputable journals, conferences, book chapters & online course materials, further enriching academic discourse.


-----> Click here for Registration

-----> Program Fees - Rs. 1500/-

The fee is inclusive of Lunch & Snacks and Certification.
Please Note: 25% group discount for 3 or more participants from the same organisation/institution and 25% discount for SDMIMD alumni.

-----> Payment Procedure
Option I: Online payment: https://www.sdmimd.ac.in/sdmpayment/
 
Option II: Electronic Fund Transfer (EFT) favour of “Director, SDM Institute for Management Development”, payable at Mysore using the following account number:
 
The Federal Bank Ltd
Branch Mysore, Jayalakshmi Puram
Beneficiary: SDM Institute for Management Development
SB A/C: 16890100038823
IFSC Code: FDRL0001689

Option III: Payment may be made in the form of DD drawn in favour of “Director, SDM Institute for Management Development”, payable at Mysore.


-----> Quick Contact:
 
Mr. G. Muddaraj Urs
FDP Coordinator, SDMIMD
Mobile: 9740140485

FDP on Leveraging AI for Teaching and Research - 19th April 2024

Session Coverage:
 
Session 1: AI in pedagogy and curriculum design
Session 2: Collaborative AI tools for enhancing student productivity
Session 3: Ethical consideration in AI for education and research
Session 4: Enhancing research reporting and publication through AI
 
The Regsiration is closed
 
Date: Friday,19th April 2024
 
Quick Contact:
 
Mr. G. Muddaraj Urs
FDP Coordinator, SDMIMD
Mobile: 9740140485
Program Overview
 
In the contemporary educational arena, marked by rapid evolution, Artificial Intelligence (AI) integration offers unparalleled avenues for augmenting teaching methodologies and scholarly pursuits. This program is meticulously crafted to equip educators and researchers with the requisite expertise to capitalise on AI's capabilities, thereby enhancing student learning outcomes and propelling scholarly innovation.
 
Participants will explore AI's application in education and research, examining state-of-the-art approaches, established best practices, and tangible implementations. The program encompasses diverse AI technologies.
 
Structured around interactive workshop format & practical exercises led by domain experts, the program aims to furnish participants with the knowledge to leverage AI in crafting dynamic and individualised educational experiences. Moreover, it will demonstrate how AI can streamline to bolster research efficiency, and encourage cross-disciplinary collaboration across academic institutions.
 
Participants will thoroughly comprehend AI's significance in education and research, alongside actionable strategies for seamlessly integrating AI technologies into their pedagogical and scholarly initiatives. This journey promises to unlock AI's full potential in elevating educational outcomes and enhancing the calibre of institutional research.
 
Resource Persons

Dr. Sunil M.V., specializing in Systems and General Management, former Head of Academic Administration and former Co-ordinator for SDM Research Centre for Management Studies (SDM RCMS). He is a Certified American Library Association (ALA) and IIM Bangalore Fellow. Dr. Sunil's intellectual contributions extend beyond the classroom. He has authored papers featured in reputable journals, conferences, book chapters & online course materials, further enriching academic discourse.
 
Dr Mamta Hegde, an alumnus of IIM Indore, holds a PGDM and a PhD in Corporate Leadership. She boasts a wealth of experience in academia and the corporate world, specializing in self-branding and pedagogical research. Dr Hegde has made significant contributions to national and international journals and is renowned for her impactful training programs.

Who can attend?

Academicians, researchers, working professionals, and individuals with an interest in teaching and research, particularly those keen on enriching experiences through the application and impact of artificial intelligence.
 
Program Fees - Rs. 1500/-

The fee is inclusive of Lunch & Snacks and Certification.
Please Note: 25% group discount for 5 or more participants from the same organisation/institution.

Payment Procedure
Option I: Online payment: https://www.sdmimd.ac.in/sdmpayment/
 
Option II: Electronic Fund Transfer (EFT) favour of “Director, SDM Institute for Management Development”, payable at Mysore using the following account number:
 
The Federal Bank Ltd
Branch Mysore, Jayalakshmi Puram
Beneficiary: SDM Institute for Management Development
SB A/C: 16890100038823
IFSC Code: FDRL0001689

Option III: Payment may be made in the form of DD drawn in favour of “Director, SDM Institute for Management Development”, payable at Mysore.

Workshop on Unlocking Insights: Data Analysis with SPSS

Unlock the power of data with our comprehensive Data Analysis Workshop using SPSS tailored for research scholars. Join us for a dynamic two-day session where you'll delve into the fundamentals of data analysis, gain hands-on experience with SPSS, and master key statistical techniques. From data cleaning to advanced multivariate analysis, this workshop equips you with the skills needed to extract meaningful insights from your research data. Elevate your analytical proficiency and enhance your research capabilities with our expert-led workshop designed to empower participants on their data
analysis journey.

Topics Covered

Introduction to Data Analysis and SPSS – Data Cleaning and Preparation
Descriptive Statistics with SPSS
Data Visualization in SPSS
Inferential Statistics – Parametric Tests, Analysis of Variance (ANOVA), Non-Parametric Tests, Correlation and Regression Analysis Exploratory Factor Analysis

Target Audience

Research Scholars, Academicians, Corporate Executives

Resource Persons

Dr. S. Saibaba, currently working as Assistant Professor in the area of Marketing at SDMIMD, Mysore, India, is an accomplished professional with an MBA in Marketing, an M.Phil., and a Ph.D. With over 22 years of combined experience in academia and industry, he has published in leading journals, showcasing expertise in e-Consumer Behaviour and marketing analytics. Proficient in MS-Excel, IBM SPSS & AMOS, R, and Tableau. 
 
Dr. Anand Sasikumar is an Assistant Professor in the area of Operations in SDMIMD, Mysore. He has a hD in the area of Industrial Engineering and Management from NITIE (IIM-Mumbai) - He has a Masters in Industrial engineering from the Concordia University, Montreal, Canada. He has around fourteen years of teaching experience at different institutes and three years of corporate experience in software industry. He is a certified Lean Six Sigma Green Belt.
 
Program Fees - Rs. 3000/-
The fee is inclusive of Lunch & Snacks and Certification.
Click here for registration
Payment Procedure
Option I: Online payment: https://www.sdmimd.ac.in/sdmpayment/
 
Option II: Electronic Fund Transfer (EFT) favour of “Director, SDM Institute for Management Development”, payable at Mysore using the following account number:
 
The Federal Bank Ltd
Branch Mysore, Jayalakshmi Puram
Beneficiary: SDM Institute for Management Development
SB A/C: 16890100038823
IFSC Code: FDRL0001689
 
Option III: Payment may be made in the form of DD drawn in favour of “Director, SDM Institute for Management Development”, payable at Mysore.

Contact
Mr. G. Muddaraj Urs
FDP Coordinator, SDMIMD
Mobile: 9740140485

Workshop on Predictive AI & Analytics

Artificial Intelligence is not a trend of the future; It is already very much deployed in business, commerce, and all walks of human life. With the growing availability of financial and customer data and efficiency in handling them for valuable insights, stock markets, and financial institutions have begun to leverage them wholly to benefit the stakeholders. The ways and means of using data for business insights are referred to as 'analytics. But as stakeholders of the financial system, do we know the big picture of AI, ML, and Analytics in the context of Finance? How is the numeric and textual data in finance used to build an environment that facilitates businesses to get insights, predict, and automate processes? How do these models outperform humans on a massive scale? What are the challenges and cautions of AI applications in Finance? The workshop is designed to address these learnings.

Topics Covered

Artificial Intelligence – Framework, Facets in Finance.
Analytics in Finance – Statistical Methods and Machine Learning Applications
Credit analytics, Algorithm trading: Applications and Demonstrations
Text analytics in Finance – Architectures and applications
Concerns of algorithm-driven predictive automation.

Target Audience

Academicians, Researchers, Working Professionals, and individuals of finance and nonfinance backgrounds, who are interested in understanding the contemporary dynamics of artificial intelligence and its influence.

Resource Person
Dr. K. Riyazahmed is an assistant professor of finance who specializes in studying and teaching financial analytics. He has produced research papers on artificial intelligence (AI) in finance, neural networks in finance, and case studies on algorithmic bias, ML and analytics.

 
Program Fees - Rs. 2000/-
The fee is inclusive of Lunch & Snacks and Certification.
Click here for registration
Payment Procedure
Option I: Online payment: https://www.sdmimd.ac.in/sdmpayment/
 
Option II: Electronic Fund Transfer (EFT) favour of “Director, SDM Institute for Management Development”, payable at Mysore using the following account number:
 
The Federal Bank Ltd
Branch Mysore, Jayalakshmi Puram
Beneficiary: SDM Institute for Management Development
SB A/C: 16890100038823
IFSC Code: FDRL0001689
 
Option III: Payment may be made in the form of DD drawn in favour of “Director, SDM Institute for Management Development”, payable at Mysore.

Contact
Mr. G. Muddaraj Urs
FDP Coordinator, SDMIMD
Mobile: 9740140485

Research Development Program (RDP)

Objectives
  • To disseminate the fundamental nuances of research 
  • To build the capacity of the participants to engage in fundamentally accurate quality research  
Topical Coverage
  • Research design
  • Review of literature, research gap & hypothesis development
  • Questionnaire design
  • Sample design
  • Introducing open access and effective statistical tool
  • Parametric tests (t-test, ANOVA)
  • Non-parametric tests (Mann-Whitney test, Kruskal Wallis test & Chi-square test)
  • Correlation analysis (parametric & non-parametric)
Pedagogy
Hands-on exercises along with lectures, discussions & demonstrations
Target Participants
Faculty, Research Scholars & others interested in academic research 
Registration Fees
Teaching Faculty:  INR 3000/-
Research Scholars: INR 2000/-
Click here to Register

Resource Persons
Dr. B.Venkatraja
Chairperson of SDM Research Centre for
Management Studies &
Associate Professor of Economics, SDMIMD, Mysore
Dr. M. Sriram
Associate Professor of Finance,
SDMIMD, Mysore
Dr. Srilakshminarayana.G
Associate Professor of Quantitative Methods
SDMIMD, Mysore
Dr. K Riyazahmed
Assistant Professor of Finance
SDMIMD, Mysore

Photo Gallery of RDP March 2023 | Photo Gallery of RDP July 2023
Click here for Accommodation Information
Contact
Mrs. Rekha Ganapathy      
Program Co-ordinator
Mobile: 9742722906
Chairperson of SDM Research Centre for Management Studies
Mobile: 9480342652 

Research Development Program (RDP)

RDP Program Schedule
Objective
  • To disseminate the fundamental nuances of research paper writing
  • To understand the journal’s expectations from a submitted research paper
  • To build the capacity of the participants to write a good quality research paper
Topical Coverage (Tentative) 
  • Overview of Different Types of Research
  • Conceptualization of Research Theme
  • Basic Structure of a Research Paper
  • Preparation of a Research Paper
  • Research Ethics                                             
  • Journal Selection
Pedagogy
Lectures, Discussions & Demonstrations 
Target Participants
Faculty, Research Scholars & Others Interested in Academic Research 
Registration Fees 
Teaching Faculty:  INR 1500/-
Research Scholars: INR 1000/-
Click here to Register | Click here to download the Brochure | Photo Gallery of RDP March 2023
Brief Profile of the Resource Person: Dr. B.Venkatraja
Dr.Venkatraja, with 19 years of academic and research experience, is working as an Associate Professor of Economics at Shri Dharmasthala Manjunatheshwara Institute for Management Development (SDMIMD) Mysore. Presently, he is the Chairperson of the SDM Research Centre for Management Studies and serves as Editor in Chief of the SDMIMD Journal of Management.  Currently, he is a member of the editorial board and review board of several reputed journals. He has published several research papers in reputed national and international journals that are indexed and listed by the Australian Business School Deans’ Council (ABDC) Scopus & Web of Science. He has presented several papers at international conferences. His paper titled “Impact of Central Explicit Subsidies on Fiscal Deficit in India: An Empirical Study” won the Best Paper Award in the Fifth International Conference on Global Business, Economics, Finance and Social Sciences organised by J.A. Alpha Business Research, Dubai in 2017. He has also worked on Applied Research projects funded by SDMIMD and Major Projects to Government and Corporate Bodies such as ANSSIRD & PR (Ministry of Rural Development & Panchayat Raj, Government of Karnataka) and Bangalore Chamber of Industry and Commerce, BCIC leading to policy suggestions.
Contact
Mrs. Rekha Ganapathy                     
Program Co-ordinator
Mobile: 9742722906
Resource Person & Chief Editor - SDMIMD Journal of Management
Mobile: 9480342652 

Management Development Programs 2022

 
SDM Institute for Management Development (SDMIMD) like to present the 2022 edition of Management Development Programs (MDPs). MDP 2022 is focused on changing demands in business and needs of professional executives. Over the years SDMIMD’s MDP is known for its Executive Education offering in different sectors at different levels in an organization.
 
The MDP 2022 will introduce the participants with the latest tools, techniques and skills in Strategic Management, Leadership, HR, OB, Marketing, Finance, Operations Management and General Management.
 
MDP 2022 is designed to meet the needs of the working executives of all levels. The sessions are planned to take the participants from unlearn to relearn to enhancing the learning.
 
Quick Contact: 
Ms. Rekha Ganapathy
Coordinator – MDPs
Tel: +91-821-2429722 Extn: 4215
Mobile: 97427 22906
Email : mdp@sdmimd.ac.in

Workshop on Conducting Literature Review and Data Analysis in Medical Research

Medical research in one field of research which looks for new findings that helps the society at large. The vaccine for COVID is a best example, which has saved the world from the deadly virus. Researchers strive hard day and night to give the best results, which are more practical in nature. 
 
Among other aspects, data plays an important role in bringing out these results. Unlike in other research, large data sets may not be available, and researchers may have to reply on data sets of smaller sizes. Now, it is important for them to analyse the data appropriately using the right statistical method. Sometimes, the data needs to be collected from the existing literature and summarize the same to give out the results. This demands the conduct of literature review in a right way and sometimes demands the use of technology, and one must get trained in using the same. To achieve the needed expertise, the researcher must get trained in usage of a tool and one such tool which is handy for everyone is Excel and getting trained in using the same will make them independent in analysing the data. 
 
Taking these needs, we at SDMIMD have planned a two-day workshop in conduct of literature review using technology, usage of excel for data analysis and selection of the right statistical method for testing the hypotheses. It gives the participants a hands-on experience on conducting the literature review, collecting and analysing the data, and construction and testing of the hypothesis. 
 
Quick Contact
Rekha Ganapathy
Program Coordinator 
Mobile:  97427 22906 
Day 1: May 5, 2022
S.No Event Time
1 Inauguration and Introduction to the Workshop 09.30 am to 10.00 am
2 Conducting Literature Review in Medical Research 10.00 am to 11.15 am
Tea Break 11.15 am to 11.30 am
3 Technology in conducting the Literature review  11.30 am to 12.45 pm
4 Discussion, Q & A 12.15 pm to 01.00 pm
Lunch 01.00 pm to 02.00 pm
5 Usage of Excel in data analysis- Data import, Data Cleaning and Preparation of data for analysis 02.00 pm to 03.15 pm
Tea Break 03.15 pm to 03.30 pm
6 Usage of Excel in data analysis- Descriptive data analysis  03.30 pm to 04.45 pm
7 Discussion, Q & A 04.45 pm to 05.00 pm
8 Discussion on Day-2 coverage and linking to the medical research 05.00 pm to 05.30 pm

Day 2: May 6, 2022

S.No Event Time
1
Introduction to Inferential statistics and its importance in medical research
 
Building a hypothesis and identifying the method for testing the same- Case based discussion
09.30 am to 11.00 am
Tea Break 11.00 am to 11.15 am
2
Hands-on session- Usage of one sample test procedures
 
Hands-on session- Usage of two sample test procedures
11.15 am to 01.00 pm
Lunch 01.00 pm to 02.00 pm
3 Hands-on session- Usage of multiple sample test procedures 02.00 pm to 03.30 pm
Tea Break 03.30 pm to 03.45 pm
4 Hands-on session- Usage of MANOVA and other methods 03.45 pm to 05.00 pm
5 Valedictory and sharing of experiences 05.00 pm to 05.30 pm

 

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