Speaker: Dr. Mukul Joshi - Program Director IIT B Trust Lab
Dates: 28 July 2025, 01, 08, 19 August 2025, 15 Oct 2025
Course Incharge: Dr. Sujata Kolhe
Objective:
To provide students with a strong conceptual and practical understanding of supervised machine learning classification techniques through expert-led sessions. The co-teaching by Dr. Mukul Joshi (Program Director, IITB Trust Lab) aimed to expose students to industry-relevant perspectives on Machine Learning algorithms. The sessions also focused on strengthening students' analytical and application-oriented skills through well-designed formative assessments.
Topics Covered:
Supervised Learning Classification: Logistic regression, naive bayes, support vector machine, Decision trees, Ensemble Learning, confusion metrics, Performance metrics to evaluate classifier:, precision, recall, f-score, AUC-ROC curve.
Impact:
The co-teaching sessions conducted by Dr. Mukul Joshi (Program Director, IITB Trust Lab) provided valuable academic and industry-oriented insights into supervised machine learning classification techniques. Overall, the sessions significantly enriched the learning experience by bridging theoretical knowledge with real-world applications of machine learning. As part of the formative assessment (FA2), students applied the concepts learned in the sessions to a real-world Inside Airbnb dataset. Students implemented and compared machine learning models evaluating them using standard performance metrics. This hands-on project helped students translate theoretical understanding into practical predictive modeling and data analysis skills.
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Conducted by: Mr. Ashay Agarwal
Affiliation: Director – Product Management, Chimple
Dates:
Audience: Third-Year B.Tech Students
Course Incharge: Dr. Rachana Y. Patil
Topics Discussed
Outcomes
By the end of the co-teaching sessions, students:
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Speaker: Mr. Yogesh Parulekar- Data and Analytics Professional
Dates: 11 August 2025, 18 August 2025
Course Incharge: Priyanka Gupta
Objective:
To provide students with a strong conceptual understanding of data warehousing concepts and their role in modern data analytics systems. The co-teaching sessions conducted by Mr. Yogesh Parulekar aimed to introduce students to the fundamentals of data warehouse architecture, ETL processes, multidimensional data modeling, and OLAP operations. The sessions also focused on helping students understand how data warehousing supports effective decision-making and advanced data mining techniques in real-world business environments.
Topics Covered:
Impact:
The co-teaching sessions conducted by Mr. Yogesh Parulekar provided students with valuable insights into the concepts and practical significance of data warehousing in modern data-driven organizations. The sessions helped students understand the architecture and design of data warehouses, the role of ETL in data integration, and the importance of multidimensional modeling for analytical processing. Through discussions and examples, students gained clarity on schema design and OLAP operations used for data analysis and business intelligence. Overall, the sessions enhanced students' conceptual understanding of data warehousing and its integration with data mining and analytics for effective decision-making.
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Dates: 2nd September 2024, 9.00 to 11.00
23rd September 2024, 9.00 to 11.00
14th October 2024, 9.00 to 11.00
26th October 2024, 9.00 to 11.00
Course Incharge: Dr. Rachana Y. Patil
Conducted by: Mr. Rahul Kulkarni (Co-founder and Partner, DoNew | Chief Technologist, Samagra)
Audience: Third-Year B.Tech Students Sessions on gaming was conducted for third-year B.Tech students to introduce them to different types of games, essential tools, and various approaches to game development. The objective was to provide insights into the gaming industry and familiarize students with the fundamental concepts and tools required for game development.
Topics Discussed
1. Types of Games
2. Tools Required for Game Development
3. Phenomenology Used by Games
4. Different Approaches to Game Development
5. Phases of Game Development
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Speaker: Mr. Yogesh Parulekar
Advisor, PibyThree Data Analytics
Seasoned professional with 25+ years of experience
Dates: 16th & 18th October 2024
Objective: The expert lecture aims to provide a comprehensive understanding of building a robust data pipeline using Microsoft technologies. Participants will gain insights into database management, data extraction, transformation, loading (ETL), and visualization for effective decision-making.
Tools Covered:
1. Microsoft SQL Server - Source and Target Databases
2. Microsoft Visual Studio for SSIS (SQL Server Integration Services) - ETL (Extract,
Transform, Load) Process
3. Microsoft Power BI - Reporting and Data Visualization
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