This course provides the mathematical foundation essential for the Medicine and Big Data program, equipping future physicians with the analytical tools needed to manage, model, and interpret large-scale medical data. Students will learn formal logic, set theory, algebraic structures, and polynomial rings concepts directly applicable to biomedical informatics, clinical data analysis, and health algorithm design.
The blended delivery format supports the dual demands of medical and data science training, ensuring students can apply mathematical reasoning to real-world healthcare challenges. Mastery of this course prepares learners for advanced topics in bioinformatics, machine learning, and data-driven medical research within the Medicine and Big Data curriculum.
Course Instructor: Prof. Dr. Legougui marwa
- Teacher: Marwa Legougui
This course provides the mathematical foundation essential for the Medicine and Big Data program, equipping future physicians with the analytical tools needed to manage, model, and interpret large-scale medical data. Students will learn formal logic, set theory, algebraic structures, and polynomial rings—concepts directly applicable to biomedical informatics, clinical data analysis, and health algorithm design.
The blended delivery format supports the dual demands of medical and data science training, ensuring students can apply mathematical reasoning to real-world healthcare challenges. Mastery of this course prepares learners for advanced topics in bioinformatics, machine learning, and data-driven medical research within the Medicine and Big Data curriculum.
Course Instructor: Prof. Dr. Legougui marwa
- Teacher: Marwa Legougui