Last modified: 06 Oct 2020 15:35
This course presents the fundamental techniques of Artificial Intelligence, used in system such as Google Maps, Siri, IBM Watson, as well as industrial automation systems, and which are core to emerging products such as self-driving vehicles. This course will equip the student to understand how such AI technologies operate, their implementation details, and how to use them effectively. This course therefore provides the building blocks necessary for understanding and using AI techniques and methodologies.
| Study Type | Postgraduate | Level | 5 |
|---|---|---|---|
| Term | First Term | Credit Points | 15 credits (7.5 ECTS credits) |
| Campus | Aberdeen | Sustained Study | No |
| Co-ordinators |
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This course presents a cross-section of fundamental AI techniques and technologies. Lectures will cover core concepts, theories, mechanisms and results, while practicals and tutorials will allow students to implement and use these techniques. Example topics covered in this course include approaches to searching in AI; automated planning and scheduling; AI techniques used in robotics; knowledge representation and natural language understanding.
Information on contact teaching time is available from the course guide.
| Assessment Type | Summative | Weighting | 30 | |
|---|---|---|---|---|
| Assessment Weeks | Feedback Weeks | |||
| Feedback |
Students will be afforded the opportunity to resit those parts of the course that htey failed (pass marks will be carried forward). Formative feedback for in-couse assessments will be provided in written form. Additionally, formative feedback on performance will be provided informally during practical sessions. |
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| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
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| Assessment Type | Summative | Weighting | 30 | |
|---|---|---|---|---|
| Assessment Weeks | Feedback Weeks | |||
| Feedback |
Students will be afforded the opportunity to resit those parts of the course that they failed (pass marks will be carried forward). Formative feedback for in-course assessment will be provided in written form. Additionally, formative feedback on performance will be provided informally during practical sessions. |
|||
| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
|
|
||
| Assessment Type | Summative | Weighting | 40 | |
|---|---|---|---|---|
| Assessment Weeks | Feedback Weeks | |||
| Feedback |
Students will be afforded the opportunity to resit those parts of the course that they failed (pass marks will be carried forward)
Formative feedback for in-course assessments will be provided in written form. Additionally, formative feedback on performance will be provided informally during practical sessions. |
|||
| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
|
|
||
There are no assessments for this course.
| Assessment Type | Summative | Weighting | ||
|---|---|---|---|---|
| Assessment Weeks | Feedback Weeks | |||
| Feedback | ||||
| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
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| Knowledge Level | Thinking Skill | Outcome |
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