Digital Literacy, AI, and Academic Ethics
Course Code
MB5102
Number of Credits
2
Semester
Course Type
Study Material
| Study Material | Depth |
|---|---|
| Digital concepts, models and communication strategies. effective and positive digital search and collaboration | Expert |
| Utilization of digital tools | Expert |
| Principles of data literacy, artificial intelligence, machine learning, and deep learning | Expert |
| Academic integrity and ethics | Expert |
| Integrity and ethics in scientific research, projects and publications | Expert |
Graduate Learning Outcomes (GLO) carried by the course
| CPMK Code | Course Learning Outcomes Elements (CLO) |
|---|---|
| CPMK 1 | Able to understand digital concepts, models and strategies for communicating, collaborating, searching, consuming, creating and distributing information in the digital world effectively and positively |
| CPMK 2 | Able to utilize digital tools effectively and positively |
| CPMK 3 | Able to understand the principles of data literacy, artificial intelligence, machine learning and deep learning |
| CPMK 4 | Able to utilize AI for research and writing scientific papers effectively and ethically |
| CPMK 5 | Able to appreciate, respect and uphold integrity and ethics in conducting research, projects and scientific publications |
Learning Method
- Assynchronous learning, group work, individual work
Learning Modality
- Video learning, case study, special topics
Assessment Methods
- Written exams, written works, presentations. Grading by pass and fail (P/S)