Department of Computer Science Programme Catalogue 2021/2
USCM-AAB27: BSc(Hons) Computer Science and Artificial Intelligence with Study year abroad
Leading to the award of BACHELOR OF SCIENCE IN COMPUTER SCIENCE AND ARTIFICIAL INTELLIGENCE |
Mode of attendance: Full-time with Study Year Abroad |
Normal programme duration: 4 years |
[Page last updated: 20 April 2021]
Possible DAPs for this programme:
- This programme has no possible DAPs
| |
Possible exit awards for this programme: |
NFAAR-UG assessment regulations:- Transfer to DAP is not possible from this programme year.
- Main assessment regulations: Appendix 11 [pdf]; Supplementary assessment regulations: Appendix 12 [pdf].
- Part 1 Stage 1 of this programme contributes 0% towards the final award classification
|
Academic Year: Part 1 Stage 1 |
Unit Code | Title | |
CM10310 | Artificial intelligence | 12 credits [equivalent to 24 CATS credits] |
Semester 1: Part 1 Stage 1 |
Unit Code | Title | |
CM10194 | Computer systems architecture 1 | 6 credits [equivalent to 12 CATS credits] |
CM10227 | Principles of programming 1 | 12 credits [equivalent to 24 CATS credits] |
CM10311 | Discrete mathematics and databases | 6 credits [equivalent to 12 CATS credits] |
Semester 2: Part 1 Stage 1 |
Designated Essential Units: |
Unit Code | Title | |
CM10228 | Principles of programming 2 | 12 credits [equivalent to 24 CATS credits] |
Unit Code | Title | |
CM10195 | Computer systems architecture 2 | 6 credits [equivalent to 12 CATS credits] |
CM10312 | Mathematics for computation | 3 credits [equivalent to 6 CATS credits] |
CM10313 | Software processes and modelling | 3 credits [equivalent to 6 CATS credits] |
Notes: - Programmes and units may be changed in accordance with normal University procedures.
- This programme catalogue is applicable for all years of study for the 2021/22 academic year only. Students continuing their studies into 2022/23 and beyond should not assume that this programme, or its component units, will be delivered in future years in the format displayed here.
- NFAAR assessment regulations are subject to review and update. Links given here will provide access to the latest versions of NFAAR documentation. The regulations described in this documentation may not necessarily be those which applied in previous academic years. For detailed information on how the NFAAR was applied to this programme in previous academic years, please contact the relevant Director of Studies.
- Availability of units is subject to constraints such as staff availability, minimum and maximum group sizes, and timetabling factors as well as a student's ability to meet any pre-requisite rules.
- Find out more about these and other important University terms and conditions here.
|
NFAAR-UG assessment regulations:- Transfer to DAP is not possible from this programme year.
- Main assessment regulations: Appendix 11 [pdf]; Supplementary assessment regulations: Appendix 12 [pdf].
- Part 2 Stage 2 of this programme contributes 32% towards the final award classification
|
Academic Year: Part 2 Stage 2 |
Unit Code | Title | |
CM20314 | Experimental systems project | 12 credits [equivalent to 24 CATS credits] |
CM20315 | Machine learning | 12 credits [equivalent to 24 CATS credits] |
Semester 1: Part 2 Stage 2 |
Unit Code | Title | |
CM20217 | Foundations of computation | 6 credits [equivalent to 12 CATS credits] |
CM20219 | Fundamentals of visual computing | 6 credits [equivalent to 12 CATS credits] |
CM20254 | Data structures and algorithms | 6 credits [equivalent to 12 CATS credits] |
Semester 2: Part 2 Stage 2 |
Unit Code | Title | |
CM20316 | Artificial intelligence 2 | 6 credits [equivalent to 12 CATS credits] |
CM20317 | Foundations and frontiers of machine learning | 12 credits [equivalent to 24 CATS credits] |
Notes: - Programmes and units may be changed in accordance with normal University procedures.
- This programme catalogue is applicable for all years of study for the 2021/22 academic year only. Students continuing their studies into 2022/23 and beyond should not assume that this programme, or its component units, will be delivered in future years in the format displayed here.
- NFAAR assessment regulations are subject to review and update. Links given here will provide access to the latest versions of NFAAR documentation. The regulations described in this documentation may not necessarily be those which applied in previous academic years. For detailed information on how the NFAAR was applied to this programme in previous academic years, please contact the relevant Director of Studies.
- Availability of units is subject to constraints such as staff availability, minimum and maximum group sizes, and timetabling factors as well as a student's ability to meet any pre-requisite rules.
- Find out more about these and other important University terms and conditions here.
|
This is a new course for which only Years 1 & 2 are being delivered in 2021/22. Years 3 and 4 of the course will be added to these catalogues in 2022/23 and 2023/24 respectively. |
Notes: - Programmes and units may be changed in accordance with normal University procedures.
- This programme catalogue is applicable for all years of study for the 2021/22 academic year only. Students continuing their studies into 2022/23 and beyond should not assume that this programme, or its component units, will be delivered in future years in the format displayed here.
- NFAAR assessment regulations are subject to review and update. Links given here will provide access to the latest versions of NFAAR documentation. The regulations described in this documentation may not necessarily be those which applied in previous academic years. For detailed information on how the NFAAR was applied to this programme in previous academic years, please contact the relevant Director of Studies.
- Availability of units is subject to constraints such as staff availability, minimum and maximum group sizes, and timetabling factors as well as a student's ability to meet any pre-requisite rules.
- Find out more about these and other important University terms and conditions here.
|