Social Business for Sustainable Development
AI & Business Analytics: From Data to Action
Mobile Journalism
Polyherbal Nanoemulsion Formulation Development for Oral Care
Participatory Rural Studio
Course Title:
Social Business for Sustainable Development
Curse Code: SB102Academic Credit: 03 ( 45 hours)
Course Content:
| Category | Topics | Semester Wise Hours |
| Sessions |
|
8*2=16 Hours |
| Social Business plan Develops |
|
8 Hours |
| Group Works |
|
8 Hours |
| Field Visits |
|
10 Hours |
| Panel Discussion |
|
1 Hours |
| Social Business Design Lab |
|
2 Hours |
Course Title:
AI & Business Analytics: From Data to Action
Course Code: SE5XX (To be decided)
Academic Credit: 3 (45 Hours)
Course Contents
| Category | Topics | Semester-wise Hours |
| Sessions | 1. AI in Business: Transforming Industries with Machine Learning and Automation. 2. AI-Powered Learning: Transforming Education with Smart Tools and Prompt Engineering. 3. Data Collection and Preprocessing: Preparing Quality Data for AI and Analytics. 4. Data Visualization for Business Insights: Transforming Data into Actionable Decisions. 5. Regression Analysis for Business Forecasting: Linear and Logistic Approaches 6. Decision Trees for Business Intelligence: Classification, Regression, and Optimization 7. Artificial Neural Networks: Foundations and Business Applications in Deep Learning 8. Clustering Techniques: Unsupervised Learning for Business Insights and Segmentation 9. Model Explainability: Making AI Decisions Transparent and Trustworthy |
9 x 2 = 18 Hours |
| Project Proposal Preparation | 1. Students will create a project proposal to improve a business process using AI and business analytics. 2. They will identify a problem and explain why an AI-driven solution is needed. 3. They will outline how data will be collected, processed, and used for analysis. 4. They will select suitable machine learning models and propose evaluation methods. 5. The project will end with a structured presentation demonstrating AI applications, model interpretability, and business impact. |
8 Hours |
| Data Collection | 1. Students will gather relevant data to support their project proposal. 2. They will explore different data sources and assess data availability. 3. They will ensure the collected data is relevant and of high quality for their business problem. 4. Students will apply preprocessing techniques like cleaning, formatting, and handling missing values. 5. They will use tools such as Excel, Python, or SQL to prepare their datasets for analysis. |
12 Hours |
| Model Development and Final Project Presentation | 1. Students will develop and train machine learning models using the collected data. 2. They will fine-tune models and evaluate performance using appropriate metrics. 3. They will ensure model explainability for effective business decision-making. 4. The course will conclude with final project presentations. 5. Students will showcase their AI-driven solutions, justify their methodologies, and defend their results with structured arguments and insights. |
7 Hours |
Course Title:
Mobile Journalism
Curse Code: JMC 100
Academic Credit: 03 ( 45 hours)
Course Content:
| Category | Topics | Semester Wise Hours |
| Introduction to Mobile Journalism |
Introduction to Mobile Journalism: Definitions & types
|
8*2=16 Hours |
| MoJo Tools and Technology |
|
8 Hours |
| Group Works |
|
8 Hours |
| Field Visits |
|
10 Hours |
| Panel Discussion and Editing | Mobile-First Journalism | 3 Hours |
| Story review and screening | Screening and project celebration | 2 Hours |
Course Title: Polyherbal Nanoemulsion Formulation Development for Oral Care
Credit: 03
Credit Hours: 45
Summary
| Day | Focus | Activity | Hours | Total Credit | Credit Hour |
| Day 1 | Theoretical Foundations | Core theory sessions | 8 | 3 | 45 |
| Day 2 | Theory + Prototype Demo | Formulation design & prototype demonstration | 8 | ||
| Day 3 | Lab Work | Batch Preparation (Formulation) | 8 | ||
| Day 4 | Lab Work | Quality Control (QC) | 8 | ||
| Day 5 | Industry Exposure | Practical industrial insights (Visit) | 8 | ||
| Day 6 | Assessment & Feedback | Evaluation and participant feedback | 5 |
Details of the course content
| Day 1: Theoretical Foundations | Module | Topics | Key Parameters & Focus Areas | Hours |
| 1 | The Clinical Problem & Product Concept | • Indication/Use: Oral mucositis, aphthous ulcers• Key Claims: Soothes tissues, supports microbiome• Alcohol-free rationale and market need | 8 | |
| 2 | Quality by Design | • TPP Parameters: Dosage form, use level, appearance• CQAs: pH, Osmolality, Droplet size, PDI | ||
| 3 | Nano-emulsion Science & Pre-formulation | • Oil/SEDDS Core: MCT, Tween 80, PG functionality• Nano-sizing principles and advantages• Low-energy vs. high-energy emulsification methods | ||
| 4 | Actives & Excipient Deep-Dive | • Active Ingredients: Polyherbal extract• Excipients: As per formulation | ||
| Module | Topics | Key Parameters & Focus Areas | Hours |
| Day 2: Theory on Formulation Design & Prototype Demo | 5 | Prototype Formulation (F1) Deconstruction | • Complete Prototype Formulation analysis• Quick Batch Sheet calculations• Role and justification of each component % | 8 |
| Lab Demo 1 | Raw Materials & Phase Preparation | • Materials handling and safety• Manufacturing Procedure Steps 1 & 2• HPMC hydration and active dispersion | ||
| Lab Demo 2 | Emulsification & Nano- sizing | • Emulsification (slow addition, 800-1200 rpm)• Nano-sizing (probe sonication: pulse cycle, ice bath)• Make-up (pH adjustment) |
| Day 3: Lab Work - Batch Preparation (Formulation) | Module | Topics | Key Parameters & Focus Areas | Hours |
| Lab Session 1 | Phase Preparation | • Accurate weighing and preparation of Oil/SEDDS and Aqueous phases• Mastery of HPMC hydration and active dispersion | 8 | |
| Lab Session 2 | Low-Energy Emulsification | • Controlled slow addition of oil phase to aqueous phase• Understanding the impact of the addition rate and mixing speed | ||
| Lab Session 3 | Nano-sizing via Sonication | • Hands-on use of probe sonicator with ice bath cooling | ||
| Lab Session 4 | Make-up & QC Start | • pH adjustment• Final filtration • Initial QC checks (visual, pH) | ||
| Day 4: Lab Work – Quality Control (QC) | Module | Topics | Key Parameters & Focus Areas | Hours |
| Lab Session 5 | QC Analytics I | • DLS for droplet size and PDI measurement• Viscosity measurement using Brookfield viscometer | 8 | |
| Lab Session 6 | QC Analytics II & AntimicrobialDemo | • Total Polyphenols assay (Folin-Ciocalteu/UV-Vis)• Antimicrobial testing demo (agar well-diffusion) |
| Lab Session 7 | In-Vitro Performance | • Antioxidant assay (DPPH)• Mucoadhesion testing (viscosity profiles) | |||
| Lab Session 8 | Stability & Sensory Prep | • Stability stress testing• Sample preparation for sensory evaluation | |||
| Day 5: Industry Exposure (Visit) | Module | Topics | Key Parameters & Focus Areas | Hours | |
| 1 | Site Visit Part 1: Manufacturing &Scale-up | • Scale-up challenges from 1L to commercial batch• GMP Compliance in manufacturing• Industrial equipment (homogenizers, mixing tanks) | 8 | ||
| 2 | Site Visit Part 2: QA/QC & Packaging | • QC Release Specs in practice (pH, viscosity, microbiology)• Packaging Integrity and filling operations• Fill & Pack processes and controls | |||
| 3 | Interactive Wrap- up at Facility | • Safety & Compliance discussions• Regulatory landscape for oral care products• Tech Transfer documentation and processes | |||
| Module | Topics | Key Parameters & Focus Areas | Hours | ||
| Final Assessment | Capstone Discussion & Quiz | Group/Individual presentation• Comprehensive quiz on course content | |||
| Day 6: Assessment & Feedback | Course Wrap-up | Feedback & Certificates | • Collection of detailed feedback forms• Certificate of completion distribution• Final Q&A and course closure | 5 |
Course Title: Participatory Rural Studio
Credit Hours: 45
Course Duration: 6 days (approx. 6/7 long sessions,workshop style)
Nature: Field-based, experiential, and collaborative (2D-1N stay at village)
Instructor: Ar. Sheikh Md. Rezwan, Daffodil International University and team
| Category of Activities | Topics to be Covered | Allocated Hours |
| 1. Orientation & Contextual Understanding | - Overview of rural-urban transformation in Bangladesh- Introduction to participatory design methods- Theories: Learning by Doing (Dewey), Enactive Pedagogy, Cone of Learning- Ethical field engagement and stakeholder identification | 8 hours Day-1 |
| 2. Pre-Workshop Preparation | - Village selection criteria & stakeholder mapping- Designing field instruments (survey sheets, focus group questions)- Workshop itinerary planning and digital coordination (WhatsApp/Google Form)- Field ethics and consent process | 5 hours Day-2 |
| 3.1 Field Survey (Community Immersion & Homestead Studies) | - Village reconnaissance and mapping- Household and homestead survey (layout, spatial organization, microclimate study)- Environmental data recording (light, air, humidity)- Typology of rural houses and socio-cultural logic | 10 hours Day-Night-3 |
| 3.2. Community Interaction & Data Collection | - Semi-structured interviews and informal courtyard discussions- Focus group discussions (women, farmers, local leaders)- Cultural and occupational mapping- Observing everyday life and local material culture | 8 hours Day-4 |
| 4. Expert Interaction & Knowledge Exchange | - Guest lectures by practitioners and local experts (agriculture, crafts, heritage)- Demonstrations and collaborative craft sessions (e.g., handicraft, sustainable farming)- Reflection and Q&A sessions | 6 hours Day-5 |
| 5. Poster Documentation & Exhibition Preparation | - Visual documentation of findings- Sketching, mapping, and poster preparation in groups- Curation of exhibition materials- Feedback book preparation | 8 hours Day-6 |
Ref:
- https://www.iau-hesd.net/action/grammo-participatory-rural-residential-research-workshop
- https://rsisinternational.org/journals/ijrias/articles/the-village-needs-attention-collaborative-and-par ticipatory-design-studio-process-in-teaching-rural-architecture/
- https://www.newagebd.net/article/70425/grammo-the-feel-of-rural-life