Overall SDG Alignment Evaluation:
The Doctor of Philosophy Program in Mathematics is designed to produce researchers with deep theoretical knowledge and the ability to create new mathematical knowledge that is internationally recognized. The curriculum's rigorous focus on advanced mathematics and research provides the fundamental language and tools for technological and scientific innovation, making it a critical enabler for SDG 9 (Industry, Innovation, and Infrastructure). By training a new generation of mathematicians and educators, the program is a flagship for SDG 4 (Quality Education), ensuring the high-level skills necessary for a knowledge-based society. Furthermore, the program's international scope and its emphasis on collaborative, globally relevant research foster the partnerships essential for SDG 17 (Partnerships for the Goals).
Best Practices
Doctor of Philosophy Program in Mathematics of Khon Kaen University (KKU) has created a strategic impact through the application of Pure and Applied Mathematics to solve complex problems in the social and health dimensions, particularly the development of Advanced Mathematical Modeling for predicting and controlling disease outbreaks and for the efficient management of public resources.
Students integrated knowledge from courses such as SC 230 701 Advanced Functional Analysis and SC 230 702 Advanced Optimization Theory to create highly accurate Predictive Models for public health policy planning in the region. The evident result of this research is the creation of a numerical analysis tool that can provide recommendations to government agencies and public health organizations in the area.
This operation led to the widespread sustainable impact of elevating the capacity of local agencies for Data-driven Policy decision-making, supporting sustainable urban planning and transportation systems, and producing graduates with in-depth analytical skills that can be applied to health and social security.
This activity is therefore aligned with SDG 3: Good Health and Well-being (by creating tools to predict and control disease outbreaks), SDG 11: Sustainable Cities and Communities (by creating models for effective resource management and urban planning), and SDG 17: Partnerships for the Goals (by providing recommendations and analytical tools to government and public health agencies).
SDG 4: Quality EducationAlignment Summary: As a doctoral program, this curriculum represents the highest level of quality education. It is designed to cultivate expert researchers and academics by providing advanced training in mathematical research and fostering a culture of lifelong learning, thereby contributing to the creation of new knowledge for sustainable development.
| Course Code | Course Title | Alignment Rationale |
|---|---|---|
| SC 129 901 | Research Methodology in Mathematics | Provides the core research skills that define high-quality doctoral education, equipping students for high-level employment and lifelong learning in scientific research (Target 4.3 and 4.4). |
| SC 129 99X | Seminar / Dissertation | These courses are capstone lifelong learning opportunities (Target 4.3) where students engage with the scientific community and conduct original research, acquiring superior technical and professional skills (Target 4.4). |
SDG 9: Industry, Innovation and InfrastructureAlignment Summary: The curriculum drives innovation by providing the fundamental mathematical tools required for advancements in science, technology, and engineering. The deep theoretical knowledge in areas such as algebra, analysis, and applied mathematics enhances the scientific research and technological capabilities of a wide range of industries.
| Course Code | Course Title | Alignment Rationale |
|---|---|---|
| SC 127 701 | Algebra | Provides foundational knowledge that is essential for innovation in computer science, cryptography, and data science, thereby supporting scientific research (Target 9.5). |
| SC 127 702 | Real Analysis | This core mathematical discipline is fundamental to developing the models and algorithms that drive innovation in engineering, finance, and technology (Target 9.5). |
| SC 127 703 | Complex Analysis | Contributes to innovation in physics and engineering fields, such as signal processing and fluid dynamics, by providing advanced mathematical tools (Target 9.5). |
| SC 127 704 | Topology | Enhances scientific research by providing the theoretical framework for data analysis, machine learning, and other complex systems (Target 9.5). |
| SC 127 705 | Applied Mathematics | Directly supports industrial innovation by training experts to apply mathematical models to solve real-world problems in engineering and science (Target 9.5). |
SDG 17: Partnerships for the GoalsAlignment Summary: The program's international scope and research-intensive nature foster partnerships for sustainable development. Through seminars and the dissertation process, students engage with the global mathematical community, promoting the knowledge-sharing and collaborations needed to achieve global scientific and technological goals.
| Course Code | Course Title | Alignment Rationale |
|---|---|---|
| SC 129 991 | Seminar in Mathematics 1 | Promotes the global partnership for sustainable development (Target 17.6) by requiring students to engage with and present on international research, fostering a culture of global knowledge-sharing. |
| SC 129 99X | Dissertation | Represents a significant contribution to global partnerships (Target 17.16) by creating new, publishable knowledge that is shared internationally to solve critical challenges in science and technology. |