ENE4044 · Monash University
AI applications for civil and environmental engineers
- Credit points
- 6
- Level
- 4
- Workload
- ≈ 12 h / week
- Faculty
- Engineering
What it covers
This unit explores integrating artificial intelligence (AI) and machine learning (ML) technologies within engineering, including the civil and environmental sectors, focusing on their application for big data management and harnessing the power of industry-collected data. It will focus on leveraging cutting-edge technology to address current challenges, safeguard future sustainability, unravel potential risks, and develop intelligent systems to navigate the complexities of tomorrow's environmental landscape. The unit aims to equip you with the necessary industry-applicable skills and knowledge to apply AI and ML in addressing critical issues within the civil and environmental business significantly enhancing your job-market readiness and employability in the era of AI. The blend of theoretical understanding, practical application, and ethical considerations ensures a comprehensive learning experience. You will apply your skills to real-world challenges and data brought to you by industry mentors who will guide you in exploring the entire process of delivering an industry-relevant project.
Assessment
| Task | Type | Weight |
|---|---|---|
| Group final project report | Project | 20% |
| Quizzes | Quiz / Test | 20% |
| Group oral presentation | Presentation | 20% |
| Assignment | Written | 40% |
When and where
| Teaching period | Campus | Mode |
|---|---|---|
| Second semester | Clayton | On-campus |