Objectives
The EMJM-INANUM program offers a unique and innovative educational profile
in the field of industrially oriented numerical modeling.
The interdisciplinary applied science curriculum lies at the intersection of fundamental science and critical industrial applications and combines numerical modeling, nano-engineering, artificial intelligence (AI) and machine learning (ML) to address the growing importance of computer modeling/assistance in industrial development of innovative technologies.
EMJM-INANUM program objectives:
Develop Expertise in Numerical Modeling
Equip students with a strong foundation in numerical modeling techniques, including mathematical modeling, simulation, and computational methods.
Master AI/ML Fundamentals
Provide comprehensive training in AI/ML fundamentals, covering topics such as machine learning algorithms, deep learning, natural language processing, and computer vision.
Integrate Numerical and AI/ML Skills
Foster the ability to integrate numerical modeling with AI/ML techniques, enabling students to apply advanced analytics and prediction capabilities to complex problems.
Emerge in Real-World Applications
Focus on practical applications by engaging students in projects that address real-world challenges in fields like engineering, finance, healthcare, environmental science, and more.
Assure Interdisciplinary Education
Encourage interdisciplinary learning by involving faculty from diverse fields, enabling students to apply numerical modeling and AI/ML methods across various domains.
Enable Joint Experiments and Computations
Our students will be involved in activities in which combined experimental and computational approaches are essential.
Ensure Comprehensive Support of Career Development
To facilitate students' placement in academia, industry, or research institutions we will provide extensive assistance in job hunting including mentorship of special invited speakers during Summer/Winter Schools.