Special Topic Biomedical Engineering

Self-Study Biomedical Engineering Project Course

Biomedical Data Analysis, Professional Practice & Academic Writing

Credit Hours: 3
Course Type: Self-Study | Project-Based | No Lectures
Level: Senior Undergraduate / Master / PhD
 

1. Course Description

This course is a self-directed, project-based biomedical engineering course focused on biomedical signal analysis, health data analytics, real-world professional problem solving, and academic writing for publication. There are no traditional lectures. Students are expected to independently study required topics, analyze real datasets using MATLAB, and develop research outputs. Scheduled class time is dedicated to discussion, mentoring, and technical guidance during office hours.

2. Course Learning Outcomes

Upon successful completion of this course, students will be able to:

1. Analyze biomedical signals using MATLAB

2. Work with real health and biomedical datasets

3. Solve real-world biomedical problems from professional practice

4. Apply ethical standards in data usage

5. Critically review scientific literature

6. Prepare academic manuscripts suitable for publication

7. Communicate technical results through presentations and video formats
   
   

3. Course Modules (Student Choice)

MODULE 1: Biomedical Signal Analysis 

Students select one biomedical signal and perform MATLAB-based analysis using a public dataset.

Options:

• EEG

• ECG

• EMG

Requirements:

• Dataset selection (e.g., PhysioNet, OpenNeuro, Kaggle)

• Signal preprocessing and feature extraction

• Health-related interpretation

• MATLAB implementation
  
  

MODULE 2: Health Data Analytics

Students analyze health-related datasets to support health management or clinical decision-making.

Data Sources:

• Clinical and demographic health datasets

• Wearable and lifestyle health data

• Multimodal health datasets
  
  

Requirements:

• Data cleaning and preprocessing

• Statistical or basic machine learning analysis

• Interpretation in a healthcare context
  
  

MODULE 3: Academic Writing

Students develop a scholarly manuscript related to biomedical engineering research.

Options:

• Review paper

• Systematic review (PRISMA-based)
  
  

Requirements:

• Structured academic writing

• Proper referencing

• Journal-style formatting
  
  

MODULE 4: Real-World Problem from Professional Practice

Students identify and solve a real biomedical or healthcare engineering problem derived from their job, internship, or professional environment, using real or anonymized data.

Requirements:

• Clear problem definition

• Description and justification of data source

• Ethical considerations and data anonymization

• Analytical or engineering solution

• Practical impact discussion
  
  

MODULE 5: Continuation of Previous Academic Work for Publication

Students extend research conducted in previous courses or projects and develop it into a publishable academic manuscript.

Requirements:

• Summary of prior work

• Identification of gaps or limitations

• Extended analysis or refinement

• Complete manuscript suitable for journal submission
  
  

4. Course Format

• ❌ No lectures

• ✅ Independent self-study

• ✅ Weekly or biweekly discussion sessions

• ✅ Continuous instructor supervision
  
  

5. Assessments & Deliverables

                                      Assessment                                                                             Weight

                            Mid-Semester Presentation                                                                    25%

                                  Final Presentation                                                                             25%

                                Final Video Submission                                                                      15%

                                     Final Manuscript                                                                            35%

                                             Total                                                                                     100%

6. Academic Integrity & Ethics

• Original work required

• Proper citation mandatory

• Ethical use of data enforced

• AI tools permitted only for language and formatting assistance
  
  

7. Alignment with Program Outcomes

This course supports:

• Independent learning

• Research and publication skills

• Practical biomedical problem solving

• MATLAB proficiency

• Professional communication
  
  

8. Approval & Continuity Rules

• Topic selection requires instructor approval

• Changes require re-approval

• Final manuscript must demonstrate academic rigor and originality