Syllabus 901
Completion requirements
Teaching Unit: UET 1.2.1
Semester: S2
Teaching Unit: UET 1.2.1
Workload: 45 hours (Lecture: 1h30 + Lab/Practical: 1h30)
Credits: 2 | Coefficient: 2
🎯 Learning Outcomes
-
Identify opportunities for Artificial Intelligence in engineering sciences.
-
Understand the ethical implications and best practices of AI usage.
-
Apply AI techniques to solve real-world problems.
🎓 Learning Objectives
-
Master AI algorithms.
-
Gain an introduction to fundamental concepts, tools, and applications.
-
Strengthen Python programming skills and its relevant libraries.
-
Understand AI approaches to problem-solving.
💻 Required Materials
-
Computer with Python installed.
-
Libraries: NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn, Plotly, Requests, BeautifulSoup, Tkinter/PyQT, TensorFlow, PyTorch.