Courses

Course Title	Content	Partner
Artificial Intelligence in Healthcare	This graduate level course covers following course outlines - Introduction to AI and Healthcare system in developing countries, Overview of Health care system problems in rural areas, Ways AI is transforming primary care, benefits, and limitations, Introduction to ML algorithms, Classification techniques, Supervised, unsupervised, and reinforcement learning techniques, Medical use cases for ML algorithms, Introduction to the Medical Datasets, measurement units, Introduction to the vital signs, their measurements, upper and lower limits, Use case: AI in Maternal and infant Healthcare, Use case: AI in Infant Healthcare, Introduction to Neural Networks, Deep Learning in Healthcare use case study, Application of Deep Learning in Healthcare, Prediction, and Prevention in Healthcare using ML techniques, Data acquisition and data normalization, analysis, and evaluation	COMSATS University Islamabad (CUI) Wah Campus
Data Mining for Healthcare Analysis	This graduate level course covers following course outlines - The proliferation of data in the post-EHR era creates opportunities for large-scale data analysis to discover meaningful patterns and trends. In this course, participants explore the application of data mining techniques for purposes of big data analytics using administrative and clinical systems data. Topics include an overview of the data mining process, data mining standards and output protocols, and common techniques used in mining health care data. Also covered are visual representation methods that increase understanding of complex data.	Capital University of Science and Technology (CUST) Islamabad
IoT for Healthcare	This graduate level course covers following course outlines: – Introduction to IoT – IoT Application Domains, Smart Object Capabilities, IoT Enabling Technologies, IoT Architecture Anatomy of IoT Devices, RFID Basics, Basics of Wireless Networking, Basics of Wireless Sensor Networks, Introduction to Arduino Programming, Introduction of IoT with Raspberry Pi, Application Layer Protocol, MQTT, Application Layer Protocol, Network Layer Protocol – 6LoWPAN, Service Discovery Protocol, mDNS, Service Discovery Protocol, DNS-SD, Social IoTs	Capital University of Science and Technology (CUST) Islamabad
Introduction to Health-Care Analysis,	This graduate level course covers following course outlines - The Changing American Healthcare System , Technology Enabled Clinical Care, Modern Patient Management, Improvement Frameworks, Measuring Health System Performance , Enabling Healthcare Analytics, Introduction to Business Intelligence (BI), Comparing Healthcare Delivery, Forming a Healthcare Analytics Unit	Islamia University Bahawalpur
Data Mining for Health-Care Analysis	This graduate level course covers following course outlines - SAS Sign On and Data Set, Introduction to Data Mining, Data Mining Standards and Process, Data Mining Barriers and Opportunities, Preparation for Data Mining Part 1, Preparation for Data Mining Part 2, Data Mining Techniques, Data Mining Techniques - Sampling of Categories, Algorithms, Training Data, and Models Part 1, Data Mining Techniques - Sampling of Categories, Algorithms, Training Data, and Models Part 2, Data Visualization and Reporting, Group Presentations, Data Infrastructures and Supporting Technologies	Islamia University Bahawalpur
Applied Health-Care Statistics	This graduate level course covers following course outlines - Introduction and History, Epidemiology and Applications to Healthcare and Population Health, Observational Study Designs, Introduction to Statistical Models, Part 1 - Use and Interpretation, Introduction to Statistical Models, Part 2 - Use and Interpretation, Model Building and Diagnostics, Bias, Confounding, and Effect Modification , Techniques for Survival Analysis, Sample Size Planning & Other Miscellaneous Topics	Islamia University Bahawalpur
Health-Care Data Acquisition and Management	This graduate level course covers following course outlines - Sources and Types of Healthcare Data, Data Selection and Querying, Data Harmonization/Integration, Continue to work on assignments from weeks 2 and 3, Common Data Representations in Healthcare Systems , Healthcare Data Models, Data Quality, Acquiring Complete Data, Ethics, Data Ownership, and Privacy, New Models of Data Organization and Analytics – Clinical Registries	Islamia University Bahawalpur
Quantitative Methods and Decision Analysis	This graduate level course covers following course outlines - Methods I: Introduction, Quantitative Methods, and Decision Analysis, Methods II: Predictive Modeling and Visualization, Methods III: Clinical Identification Algorithms and Analytical Groupers, Utilization and Staffing: Forecasting Healthcare Demand, Risk Stratification: Targeting Interventions to Achieve Value, Population Health Management: Comparing Clinical Interventions, Quality: Profiling Providers, Measuring Adverse Events , Cost Containment: Readmissions and Super-Utilizers, Healthcare Finance: Fraud Detection, Synchronous Group Presentations and Wrap-Up	Islamia University Bahawalpur
Applied Biotechnology	This graduate level course covers following course outlines - Isolate, enumerate and identify microorganisms from many types of samples, Accurately calibrate and use instruments such as pH and BOD meters, gas chromatographs, spectrophotometers, HPLCs, centrifuges, PCR thermocyclers and gel electrophoresis equipment, Prepare media and reagents to culture pathogenic microbes, Design and perform advanced microbiology and microbial genetics experiments, Isolate DNA and perform gel electrophoresis and polymerase chain reaction (PCR) on samples, Perfect your aseptic techniques, Isolate, enumerate and identify microorganisms from many types of samples (the human body, water, soil, air, food, and pharmaceutical and cosmetic products),	Islamia University Bahawalpur
Topics in Information Technology	This graduate level course covers following course outlines - Specialized study within an area of Information Technology, guided by a supervisor. Topics include theoretical and applied aspects of Information Technology. Combines guided reading and research with a significant individual or group project component. Although, this course doesn’t cover some specific topics. Rather course outline depends upon the availability of resources. In general, the special topics will focus on issues related to advance graduate topics with a research component. In addition to a broad grounding across the breadth of advanced Information Technology, the students will develop specialist knowledge in couple of the research area such as ERP, Requirement Engineering Tools and Methods, Simulation, Virtual Reality, IT project management, Internet Security	Islamia University Bahawalpur
Security and Privacy in loT-based Healthcare	This graduate level course covers following course outlines - Introduction to privacy and security of healthcare system in developing countries. Health Insurance Portability and Accountability Act (HIPAA) and General Data Protection Regulation (GDPR). Patients' Health Information Rights, Electronic Health Records (HER). HIPAA and GDPR Security Rule. Cybersecurity, Medicare and Medicaid HER. Blockchain and healthcare. Internet of Things (loT) in healthcare; Blockchain, healthcare and loT with and without GDPR. Identifying healthcare security and privacy breaches.	COMSATS University Islamabad (CUI) Wah Campus
Healthcare Data Acquisition and Management	This graduate level course covers following course outlines - The course covers to navigate complex data structures and efficiently retrieve the data needed to answer a question or solve a problem. This course explores the types and sources of healthcare data, along with methods for selecting, preparing, querying, and transforming health care data. Participants examine the range of data sources, including administrative, clinical, patient-reported, and external data (e.g., CCDs, HL-7 messages); common representations of data in health information systems (ICD, CPT); strategies for optimizing data quality; querying tools and methods; data preparation/transformation; ethics, data ownership, and privacy. Also covered are new models of healthcare data organization and analytics, such as clinical registries.	Capital University of Science and Technology (CUST) Islamabad
Embedded Systems for Healthcare	This graduate level course covers following course outlines - The course covers to navigate complex data structures and efficiently retrieve the data needed to answer a question or solve a problem. This course explores the types and sources of healthcare data, along with methods for selecting, preparing, querying, and transforming health care data. Participants examine the range of data sources, including administrative, clinical, patient-reported, and external data (e.g., CCDs, HL-7 messages); common representations of data in health information systems (ICD, CPT); strategies for optimizing data quality; querying tools and methods; data preparation/transformation; ethics, data ownership, and privacy.	Capital University of Science and Technology (CUST) Islamabad