Artificial Intelligence in Petroleum Industry
Course Code
TM4034
Number of Credits
3
Semester
Course Type
Study Material
| Study Material | Depth |
|---|---|
| Overview of problems that can be solved using artificial intelligence methods | |
| Selection Methods and Determining Data Quality | Explore |
| Supervised Learning Method | Explore |
| Unsupervised Learning Method | Explore |
| Case Study of Processing and Preparation of Machine Learning Methods | Expert |
Graduate Learning Outcomes (GLO) carried by the course
| CPMK Code | Course Learning Outcomes Elements (CLO) |
|---|---|
| CPMK 1 | Able to identify problems and provide solutions that can be accelerated with the existence of petroleum artificial intelligence methods |
| CPMK 2 | Carry out effective multidisciplinary team communication and collaboration while remaining within ethical and professional principles |
| CPMK 3 | Develop, analyze and interpret geological, reservoir and production engineering data and select data that can be used for the implementation of petroleum artificial intelligence |
Learning Method
- Case studies, Simulations, Collaborative Learning, Project based learning
Learning Modality
- Mix of online and offline, synchronous and asynchronous, independent and group
Assessment Methods
- Quiz, Assignments, Projects, Midterm Exams, Final Exams