CM22009: Machine learning
[Page last updated: 03 June 2024]
| Academic Year: | 2024/25 |
| Owning Department/School: | Department of Computer Science |
| Credits: | 10 [equivalent to 20 CATS credits] |
| Notional Study Hours: | 200 |
| Level: | Intermediate (FHEQ level 5) |
| Period: |
- Academic Year
|
| Assessment Summary: | CWSI 30%, EXCB 70% |
| Assessment Detail: |
- Set exercises Individual (CWSI 30%)
- Closed-book written examination (EXCB 70%)
|
| Supplementary Assessment: |
- Like-for-like reassessment (where allowed by programme regulations)
|
| Requisites: |
Before taking this module you must take CM12001 AND ( take CM12006 OR take MA12013 )
|
| Learning Outcomes: |
On completion of the unit, the students will be able to:
1. distinguish between different formulations of the machine�¿learning challenge such as supervised and reinforcement learning,
2. demonstrate understanding of a wide range of machine learning techniques, their strengths, and their limitations,
3. write code in a relevant programming language (e.g. Python) and employ software libraries to solve problems in machine learning.
|
| Synopsis: | You will explore a wide range of fundamental techniques in machine learning, and learn about their strengths and limitations. You will write code and use software libraries to apply these techniques to solve problems in machine learning.
|
| Content: | Topics covered by this unit will typically include central concepts and algorithms of supervised, unsupervised, and reinforcement learning such as support vector machines, deep neural networks, regularisation, ensemble methods, random forest, Markov Decision Processes, Q-learning, clustering, and dimensionality reduction.
|
| Course availability: |
CM22009 is Compulsory on the following courses:
Department of Computer Science
- USCM-AFB30 : BSc(Hons) Computer Science (Year 2)
- USCM-AFB31 : BSc(Hons) Computer Science and Artificial Intelligence (Year 2)
- USCM-AKB31 : BSc(Hons) Computer Science and Artificial Intelligence with professional placement (Year 2)
- USCM-AKB31 : BSc(Hons) Computer Science and Artificial Intelligence with study abroad (Year 2)
- USCM-AFB32 : BSc(Hons) Computer Science and Mathematics (Year 2)
- USCM-AKB32 : BSc(Hons) Computer Science and Mathematics with professional placement (Year 2)
- USCM-AKB32 : BSc(Hons) Computer Science and Mathematics with study abroad (Year 2)
- USCM-AKB30 : BSc(Hons) Computer Science with professional placement (Year 2)
- USCM-AKB30 : BSc(Hons) Computer Science with study abroad (Year 2)
- USCM-AFM30 : MComp(Hons) Computer Science (Year 2)
- USCM-AFM31 : MComp(Hons) Computer Science and Artificial Intelligence (Year 2)
- USCM-AKM31 : MComp(Hons) Computer Science and Artificial Intelligence with professional placement (Year 2)
- USCM-AKM31 : MComp(Hons) Computer Science and Artificial Intelligence with study abroad (Year 2)
- USCM-AFM32 : MComp(Hons) Computer Science and Mathematics (Year 2)
- USCM-AKM32 : MComp(Hons) Computer Science and Mathematics with professional placement (Year 2)
- USCM-AKM32 : MComp(Hons) Computer Science and Mathematics with study abroad (Year 2)
- USCM-AKM30 : MComp(Hons) Computer Science with professional placement (Year 2)
- USCM-AKM30 : MComp(Hons) Computer Science with study abroad (Year 2)
|
Notes: - This unit catalogue is applicable for the 2024/25 academic year only. Students continuing their studies into 2025/26 and beyond should not assume that this unit will be available in future years in the format displayed here for 2024/25.
- Courses and units are subject to change in accordance with normal University procedures.
- Availability of units will be 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.
|
