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Main
UQU Programs
Science in Artificial Intelligence

Cooprative Training

AI4401
6 hours English

Cooprative Training

Cooperative Training
1.1 Mapped to: K1

Apply core principles and theories of Artificial Intelligence to analyse and solve real-world problems encountered during the cooperative training experience.

Teaching Strategy Progress reports, Final report, Oral Presentation, Employer report.
Assessment Methods Assessment of the progress report, final report, and oral presentation Assessment of the employer.
1.2 Mapped to: K4

Evaluate and explain the ethical, legal, and societal implications of AI technologies, demonstrating responsible application in projects undertaken during the cooperative training.

Teaching Strategy Progress reports, Final report, Oral Presentation, Employer report.
Assessment Methods Assessment of the progress report, final report, and oral presentation Assessment of the employer.
2.1 Mapped to: S1

Develop and evaluate AI algorithms and systems to effectively address complex challenges encountered during the cooperative training experience.

Teaching Strategy Progress reports, Final report, Oral Presentation, Employer report.
Assessment Methods Assessment of the progress report, final report, and oral presentation Assessment of the employer.
2.2 Mapped to: S2

Utilise and demonstrate programming and software development skills relevant to AI, showing proficiency in commonly used languages and tools throughout the cooperative training.

Teaching Strategy Progress reports, Final report, Oral Presentation, Employer report.
Assessment Methods Assessment of the progress report, final report, and oral presentation Assessment of the employer.
2.3 Mapped to: S5

Formulate research questions, conduct literature reviews, and apply appropriate methodologies to investigate AI-related topics during the cooperative training.

Teaching Strategy Progress reports, Final report, Oral Presentation, Employer report.
Assessment Methods Assessment of the progress report, final report, and oral presentation Assessment of the employer.
2.4 Mapped to: S4

Present and discuss ideas, knowledge, and skills related to AI projects and tasks undertaken during the cooperative training using various appropriate communication methods.

Teaching Strategy Progress reports, Final report, Oral Presentation, Employer report.
Assessment Methods Assessment of the progress report, final report, and oral presentation Assessment of the employer.
3.1 Mapped to: V1

Evaluate the ethical, social, and professional impacts of AI technologies and apply responsible practices during the cooperative training experience.

Teaching Strategy Participation in meetings & Participation in projects
Assessment Methods Evolution report
3.2 Mapped to: V2

Demonstrate effective teamwork and leadership skills by collaborating with peers and industry professionals in project settings, fostering a sense of responsibility towards collective goals.

Teaching Strategy Participation in meetings & Participation in projects
Assessment Methods Evolution report
3.3 Mapped to: V3

Reflect on personal growth and professional development throughout the cooperative training, articulating a commitment to lifelong learning by actively seeking opportunities to enhance knowledge and skills in the field of AI.

Teaching Strategy Participation in meetings & Participation in projects
Assessment Methods Evolution report
Assessment
Weight
Academic supervisor visits
5%
Field supervisor evaluation
10%
Academic supervisor evaluation
10%
Weekly reports
20%
Final report and oral discussion
40%
Summer training management
10%
Total
95%