Courses

  • Social Business for Sustainable Development

  • AI & Business Analytics: From Data to Action

  • Mobile Journalism

 

Course Title:

Social Business for Sustainable Development

Curse Code: SB102
Academic Credit: 03 ( 45 hours)

Course Content: 

Category  Topics Semester Wise Hours
Sessions
  1. Social Business & Its Chemistry 
  2. Social Business in Global Platform 
  3. Social Business Creation 
  4. Financial Aspects of Social Business 
  5. Marketing for the Sustainability of Social Business 
  6. Managing Social Business 
  7. Supply Chain Management 
  8. Successful Social business Entrepreneurs
 8*2=16 Hours 
Social Business plan Develops 
  • Social Business Model Canvas
 8 Hours 
Group Works 
  • Interviews 
  • Market Analysis 
  • Financial Analysis 
 8 Hours 
Field Visits
  • Yunus Centre 
  • Grameen Bank Branch 
  • Social Business Industrial Park 
  • Grameen Caledonian College of Nursing
  • Grameen Intel Social Business Limited
  • YY ventures 
 10 Hours 
Panel Discussion
  • Social Business & SDGs
 1 Hours 
Social Business Design Lab
  • Pitching & Review
 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

  • Explore the advantages of mobile filming
  • Mastering of mobile journalism: skills & story-telling work-flow
  • The core skills and responsibilities of a Mobile reporter
  • The 6 P’s : Planning the story
 8*2=16 Hours
MoJo Tools and Technology
  • Mobile settings: Basic guidelines for mobile, camera settings Shooting & Audio Techniques
  • Lighting Using Mobile Phone & Device
  • Apps and gears
  • Shot Divisions & sequences
 8 Hours
Group Works  
  • Script Writing Techniques According to Platform’s Suitability
  • Mind Mapping
  • Storyboarding
  • Shooting ( practical)
  • Story pitch
 8 Hours
Field Visits
  • Practical session ( Story making): shooting & newsroom visit
 10 Hours
Panel Discussion and Editing  Mobile-First Journalism 3 Hours
Story review and screening Screening and project celebration  2 Hours

 

© 2025 All Right Reserved by DIU.