1. Course outline

Topic 1: Introduction to Applied Research

  • What is Applied Research?
  • Differences Between Basic & Applied Research
  • Real-World Applications in Business, Healthcare, Engineering, and Social Sciences

Topic 2: Identifying Research Problems

  • Problem-Solving Through Research
  • Industry & Community-Based Research Needs
  • Developing Research Questions and Objectives

Topic 3: Research Design & Methodology

  • Case Studies, Surveys, and Action Research
  • Mixed Methods Approach (Qualitative & Quantitative)
  • Experimental vs. Non-Experimental Research

Topic 4: Data Collection Techniques

  • Interviews, Surveys, and Observational Research
  • Using Secondary Data and Industry Reports
  • Ethical Considerations in Data Collection

Topic 5: Data Analysis & Interpretation

  • Statistical Tools (Excel, SPSS, R, Python)
  • Qualitative Data Analysis (Thematic Analysis, NVivo)
  • Data Visualization and Reporting

Topic 6: Applying Research to Real-World Problems

  • Translating Research into Policy and Practice
  • Communicating Findings to Non-Technical Audiences
  • Writing Reports, White Papers, and Business Proposals

Assessment & Evaluation

📌 Assignments: Research proposal, case study analysis, data collection tasks
📌 Mid-term Exam: Multiple-choice and application-based questions
📌 Final Project: Conduct and present an applied research study
📌 Participation: Discussions, peer reviews, group collaborations

Teaching Methods

  • Lectures & Case Studies: Real-world research applications
  • Hands-on Workshops: Data collection, analysis, and software training
  • Guest Speakers: Industry professionals & researchers
  • Collaborative Projects: Team-based research on real challenges