Artificial Intelligence
[1] Ethical and Responsible AI Practitioners:Cultivate professionals committed to ethical AI development, emphasizing fairness, transparency, and societal impact.
[2]Technical Mastery:Master core AI techniques: supervised/unsupervised learning, reinforcement learning, neural network architectures (CNNs, RNNs, Transformers), and optimization algorithms (SGD, Adam). Gain proficiency in programming (Python, TensorFlow, PyTorch) and tools (Jupyter, Docker, Git).
[3] Research and Innovation: Develop independent research capabilities to solve cutting-edge problems (e.g., explainable AI, federated learning, AI safety).
[4] Global Competence: Strengthen English proficiency for academic writing, presentations, and collaboration. Participate in international conferences and workshops.