Biomedical Software Development: Tools and Techniques
( 30 Modules )
Module #1 Introduction to Biomedical Software Development Overview of biomedical software development, importance, and applications
Module #2 Regulatory Environment for Biomedical Software FDA regulations, IEC 62304, and other standards for biomedical software development
Module #3 Programming Languages for Biomedical Software Overview of programming languages used in biomedical software development, such as Python, C++, and MATLAB
Module #4 Development Environments for Biomedical Software Introduction to integrated development environments (IDEs) such as Eclipse, Visual Studio, and PyCharm
Module #5 Version Control Systems for Biomedical Software Introduction to version control systems such as Git and SVN
Module #6 Biomedical Data Analysis and Visualization Introduction to biomedical data analysis and visualization using tools such as pandas, NumPy, and Matplotlib
Module #7 Medical Image Processing and Analysis Introduction to medical image processing and analysis using libraries such as OpenCV and ITK-SNAP
Module #8 Genomic Data Analysis and Visualization Introduction to genomic data analysis and visualization using tools such as Biopython and GenomicsPlot
Module #9 Signal Processing for Biomedical Data Introduction to signal processing techniques for biomedical data using libraries such as SciPy and PyAudioAnalysis
Module #10 Machine Learning for Biomedical Data Introduction to machine learning for biomedical data using libraries such as scikit-learn and TensorFlow
Module #11 Deep Learning for Biomedical Image Analysis Introduction to deep learning for biomedical image analysis using libraries such as Keras and TensorFlow
Module #12 Natural Language Processing for Biomedical Text Introduction to natural language processing for biomedical text using libraries such as NLTK and spaCy
Module #13 Cloud Computing for Biomedical Software Development Introduction to cloud computing platforms such as AWS, Google Cloud, and Azure for biomedical software development
Module #14 DevOps for Biomedical Software Development Introduction to DevOps practices for biomedical software development, including continuous integration and continuous deployment
Module #15 Cybersecurity for Biomedical Software Development Introduction to cybersecurity principles and practices for biomedical software development
Module #16 Testing and Validation for Biomedical Software Introduction to testing and validation methods for biomedical software, including unit testing, integration testing, and validation protocols
Module #17 Usability and User Experience for Biomedical Software Introduction to usability and user experience principles for biomedical software development
Module #18 Case Studies in Biomedical Software Development Real-world case studies of biomedical software development projects, including challenges and successes
Module #19 Collaborative Development for Biomedical Software Introduction to collaborative development tools and practices for biomedical software development, including Agile and Scrum
Module #20 Change Management for Biomedical Software Development Introduction to change management principles and practices for biomedical software development
Module #21 Documentation and Reporting for Biomedical Software Development Introduction to documentation and reporting best practices for biomedical software development
Module #22 Biomedical Software Development for Mobile Devices Introduction to developing biomedical software for mobile devices, including iOS and Android
Module #23 Biomedical Software Development for Wearable Devices Introduction to developing biomedical software for wearable devices, including fitness trackers and smartwatches
Module #24 Biomedical Software Development for Medical Devices Introduction to developing biomedical software for medical devices, including implantable devices and medical imaging equipment
Module #25 Biomedical Software Development for Clinical Decision Support Systems Introduction to developing biomedical software for clinical decision support systems (CDSSs)
Module #26 Biomedical Software Development for Telemedicine Introduction to developing biomedical software for telemedicine applications
Module #27 Biomedical Software Development for Personalized Medicine Introduction to developing biomedical software for personalized medicine applications
Module #28 Biomedical Software Development for Medical Informatics Introduction to developing biomedical software for medical informatics applications
Module #29 Future Trends in Biomedical Software Development Overview of emerging trends and technologies in biomedical software development, including artificial intelligence and blockchain
Module #30 Course Wrap-Up & Conclusion Planning next steps in Biomedical Software Development: Tools and Techniques career
