EXECUTIVE COURSE PLAN & MASTER LECTURE SERIES
AI in Research & Advanced Data Analysis Tools for PGDM
| Target Learners: PGDM Students | Session Timing: 5:00 PM – 7:00 PM IST | Delivery Format: Executive Blended / Lab |
| Academic Term: Executive Module | Curriculum Track: Research, Analytics & AI | Certification: EU Global Certificate |
1. Comprehensive Schedule
| Date & Time | Lecture Theme & Key Topics | Business Case Study | Applied Assignment | Speaker |
|---|---|---|---|---|
| Lecture 1 03 Nov 5:00 PM – 7:00 PM IST | Foundations of AI in Management Research & Literature Discovery | Case Study 1: Accelerating Strategic Market Entry: How top consulting firms synthesize 10,000+ industry whitepapers in 48 hours using semantic research engines. | Assignment 1: Formulate an empirical management research question (e.g., ESG transparency). Use Elicit & Consensus to compile a 10-source synthesis matrix and concept map. | Dr. Mohamad Saad El Dine Knio, EUGLOBAL |
| Lecture 2 17 Nov 5:00 PM – 7:00 PM IST | Automated Data Wrangling, Advanced EDA & Statistical AI | Case Study 2: Retail Performance at Target & Walmart: Uncovering hidden customer churn drivers across 500,000 transaction records with conversational data analytics. | Assignment 2: Upload an uncleaned 10,000-row customer dataset. Execute automated EDA, validate 3 statistical hypotheses, plot 3 executive charts, and summarize findings. | Mr. Achint Chaudhary, Senior Data Scientist, INDIA |
| Lecture 3 24 Nov 5:00 PM – 7:00 PM IST | Predictive Modeling, NLP & Consumer Sentiment Mining | Case Study 3: Netflix & Spotify Retention Models: Deploying predictive algorithms and automated sentiment extraction to curb churn by 18%. | Assignment 3: Run sentiment and topic modeling across 1,000 customer reviews. Identify top customer friction clusters and deliver 3 actionable product iterations. | Dr. Shainima Islam, EUGLOBAL |
| Lecture 3 24 Nov 5:00 PM – 7:00 PM IST | Enterprise AI Governance, Ethics & Executive Capstone Defense | Case Study 4: Amazon Automated Hiring Bias Debacle: Analyzing historical bias in resume screening algorithms and designing ethical enterprise governance guardrails. | Capstone Deliverable: Submit an executive 'AI-Augmented Management Dossier' (1,500 words + 5-slide deck) solving an end-to-end business challenge from raw data to board pitch. | Ashay Singh, ML Engineer, Europe |
2. Assessment Rubric & Grading Breakdown
| Evaluation Component | Weightage | Due Date | Key Assessment Criteria |
|---|---|---|---|
| Assignment 1: Research Synthesis Matrix | 20% | 12 Nov, 11:59 PM IST | Methodological rigor, peer-reviewed citation fidelity, literature matrix depth. |
| Assignment 2: Automated EDA & Hypotheses Report | 25% | 26 Nov, 11:59 PM IST | Data hygiene, statistical validity of hypotheses, managerial charting clarity. |
| Assignment 3: Predictive Sentiment & NLP Brief | 25% | 04 Dec, 11:59 PM IST | NLP classification accuracy, strategic clarity of commercial recommendations. |
| Capstone Project: Executive AI Research Dossier | 30% | 15 Dec, 11:59 PM IST | Holistic business impact, ethical/governance audit, C-suite presentation quality. |
3. Recommended Software & Reference Reading
- ✅ Research & Discovery Stack: Elicit.org, Scite.ai, Consensus.app, Connected Papers, Litmaps
- ✅ Analytics & Modeling Assistants: ChatGPT Advanced Data Analysis (Python Code Interpreter), Julius AI, Orange Data Mining, KNIME AI
