Last modified: 23 Jul 2024 11:06
The course provides an introduction to Artificial Intelligence (AI). It discusses fundamental problems of AI and their computational solution via key concepts.
Study Type | Undergraduate | Level | 3 |
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Term | First Term | Credit Points | 15 credits (7.5 ECTS credits) |
Campus | Offshore | Sustained Study | No |
Co-ordinators |
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The course provides an introduction to Artificial Intelligence (AI). It discusses fundamental problems of AI and their computational solution via key concepts.
Information on contact teaching time is available from the course guide.
Assessment Type | Summative | Weighting | 50 | |
---|---|---|---|---|
Assessment Weeks | Feedback Weeks | |||
Feedback |
Knowledge Level | Thinking Skill | Outcome |
---|---|---|
Procedural | Analyse | Students will develop the ability to think analytically and creatively about classic AI theories and techniques, including the ability to inter-relate problems, techniques/theories for their solutions |
Procedural | Apply | Students will demonstrate an understanding of, and ability to apply, classic artificial intelligence theories and techniques. |
Reflection | Analyse | Students will demonstrate an ability to evaluate these and communicate their findings effectively at an appropriate level of technical depth |
Reflection | Evaluate | Students will demonstrate an ability to perform an in-depth analysis of variants, combinations and extensions of classical A.I. techniques and theories, and an ability to evaluate these and communicat |
Reflection | Evaluate | Students will demonstrate the ability to apply relevant analysis techniques, and to contrast and compare A.I. techniques and their applicability to specific or classes of problems. |
Assessment Type | Summative | Weighting | 50 | |
---|---|---|---|---|
Assessment Weeks | Feedback Weeks | |||
Feedback | Word Count |
Knowledge Level | Thinking Skill | Outcome |
---|---|---|
Procedural | Analyse | Students will develop the ability to think analytically and creatively about classic AI theories and techniques, including the ability to inter-relate problems, techniques/theories for their solutions |
Procedural | Apply | Students will demonstrate an understanding of, and ability to apply, classic artificial intelligence theories and techniques. |
Reflection | Analyse | Students will demonstrate an ability to evaluate these and communicate their findings effectively at an appropriate level of technical depth |
Reflection | Evaluate | Students will demonstrate an ability to perform an in-depth analysis of variants, combinations and extensions of classical A.I. techniques and theories, and an ability to evaluate these and communicat |
Reflection | Evaluate | Students will demonstrate the ability to apply relevant analysis techniques, and to contrast and compare A.I. techniques and their applicability to specific or classes of problems. |
There are no assessments for this course.
Assessment Type | Summative | Weighting | 100 | |
---|---|---|---|---|
Assessment Weeks | Feedback Weeks | |||
Feedback |
Knowledge Level | Thinking Skill | Outcome |
---|---|---|
|
Knowledge Level | Thinking Skill | Outcome |
---|---|---|
Procedural | Apply | Students will demonstrate an understanding of, and ability to apply, classic artificial intelligence theories and techniques. |
Procedural | Analyse | Students will develop the ability to think analytically and creatively about classic AI theories and techniques, including the ability to inter-relate problems, techniques/theories for their solutions |
Reflection | Evaluate | Students will demonstrate the ability to apply relevant analysis techniques, and to contrast and compare A.I. techniques and their applicability to specific or classes of problems. |
Reflection | Evaluate | Students will demonstrate an ability to perform an in-depth analysis of variants, combinations and extensions of classical A.I. techniques and theories, and an ability to evaluate these and communicat |
Reflection | Analyse | Students will demonstrate an ability to evaluate these and communicate their findings effectively at an appropriate level of technical depth |
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