CSC8633 : Group Project in Data Science (Inactive)
CSC8633 : Group Project in Data Science (Inactive)
- Inactive for Year: 2024/25
- Module Leader(s): Dr Wanqing Zhao
- Lecturer: Dr Huizhi Liang
- Owning School: Computing
- Teaching Location: Newcastle City Campus
Semesters
Your programme is made up of credits, the total differs on programme to programme.
| Semester 2 Credit Value: | 10 |
| ECTS Credits: | 5.0 |
| European Credit Transfer System | |
Pre-requisite
Modules you must have done previously to study this module
| Code | Title |
|---|---|
| CSC8631 | Data Management and Exploratory Data Analysis |
| CSC8635 | Machine Learning with Project |
| MAS8404 | Statistical Learning for Data Science |
Pre Requisite Comment
N/A
Co-Requisite
Modules you need to take at the same time
| Code | Title |
|---|---|
| CSC8632 | Data Science in the Wild (Group Project) |
Co Requisite Comment
N/A
Aims
In this module you will have the opportunity to design, build, deploy and support a data science system. You will have access to technical guidance from faculty members but will essentially work as a small independent team under your own initiative. This provides an opportunity to practice the technical skills developed in other modules, and to develop new skills of cooperative working and organisation.
Specifically, the module aims to equip students with the following knowledge and skills:
- To gain and reflect on the experience of applying the techniques taught in preceding modules to develop
a data science system.
- To gain experience of working in groups and to design and implement software under time and resource
constraints, practising relevant professional skills.
Outline Of Syllabus
1. Team Working:
Teams will be selected by the faculty to create teams with mix of skills and abilities for a range of roles. Each team has a faculty member who can advise on the problem specification but will not generally intervene in the group. At the end of the project, there will be an opportunity to debrief with faculty members and to share experience of good and bad practice in team working.
2. System Synthesis and Analysis:
Based on an initial specification of functional and non-functional requirements each team will develop a system which considers: the availability of data sources and existing knowledge, the professional, legal and ethical issues relevant to the subject area of the project, the potential modelling techniques and the trade-off between performance and accuracy and the end user and ongoing reliability and usability of the system and its results. Development will involve research, requirements elicitation, modelling, and analysis. Selection of development methods and tools will be done by each group.
3. Reporting:
There will be regular reporting of technical progress and a large final technical deliverable for the group. The project constraints will define the details in final technical deliverables for the group. Students will also prepare a short individual report outlining their contributions and the lessons that they have learned from the project in terms of their own continuing professional development.
Learning Outcomes
Intended Knowledge Outcomes
To be able to describe and discuss
- the challenges involved in planning a system development for a data science project.
- issues that relate to the planning and execution of a team-based software project, at an advanced level.
Intended Skill Outcomes
Ability to:
- plan a series of development activities working within resource limitations.
- work cooperatively as a team in a competitive environment.
- select appropriate technology for an analysis or development task in data science.
- justify design decisions from among a range of alternatives.
Teaching Methods
Teaching Activities
| Category | Activity | Number | Length | Student Hours | Comment |
|---|---|---|---|---|---|
| Guided Independent Study | Assessment preparation and completion | 30 | 1:00 | 30:00 | Writing up the project and preparation for the group presentation and oral examination. |
| Scheduled Learning And Teaching Activities | Practical | 1 | 0:30 | 0:30 | Individual Oral examination (PiP or synchronous online) |
| Scheduled Learning And Teaching Activities | Practical | 6 | 1:30 | 9:00 | Regular help sessions, progress review and discussion (PiP or synchronous online) |
| Scheduled Learning And Teaching Activities | Practical | 2 | 1:00 | 2:00 | Group presentations (PiP or synchronous online) |
| Guided Independent Study | Directed research and reading | 10 | 1:00 | 10:00 | background reading |
| Guided Independent Study | Project work | 47 | 1:00 | 47:00 | Work on the group project |
| Scheduled Learning And Teaching Activities | Module talk | 1 | 1:30 | 1:30 | Module introduction (PiP or synchronous online) |
| Total | 100:00 |
Teaching Rationale And Relationship
Students will develop: teamwork and communication skills through group learning; presentation skills through giving presentations; computational and statistical writing skills through private study, group learning and writing a report. The nature of the projects will allow students to consolidate their learning from the previous taught modules, and to begin to develop specialised knowledge and practical skills in the analysis and interpretation of Data Science.
Reading Lists
Assessment Methods
The format of resits will be determined by the Board of Examiners
Other Assessment
| Description | Semester | When Set | Percentage | Comment |
|---|---|---|---|---|
| Report | 2 | M | 50 | Group report prepared by each group, typically accompanied additional material online. Maximum page limit 10 pages. |
| Report | 2 | M | 30 | Individual report documenting the teamwork process embedded in the group project. Maximum page limit 4 pages. |
| Oral Presentation | 2 | M | 20 | Presentation slides and group activity to which each member is expected to contribute equally. This will take place towards the end of the module. |
Formative Assessments
Formative Assessment is an assessment which develops your skills in being assessed, allows for you to receive feedback, and prepares you for being assessed. However, it does not count to your final mark.
| Description | Semester | When Set | Comment |
|---|---|---|---|
| Oral Examination | 1 | M | Individual oral examination documenting the teamwork process embedded in the group project. |
Assessment Rationale And Relationship
The group report and presentation will assess the technical product of students' group project.
The individual report tests the students’ ability to use key frameworks to explore how principles of teamwork and project management were embedded in the project as well as identifying the areas of personal development in the key competencies that were developed as part of the group technical contribution.
The individual oral exam is to evaluate the student’s engagement in the technical development and understanding of the overall group project.
Timetable
- Timetable Website: www.ncl.ac.uk/timetable/
- CSC8633's Timetable
Past Exam Papers
- Exam Papers Online : www.ncl.ac.uk/exam.papers/
- CSC8633's past Exam Papers
General Notes
N/A
Welcome to Newcastle University Module Catalogue
This is where you will be able to find all key information about modules on your programme of study. It will help you make an informed decision on the options available to you within your programme.
You may have some queries about the modules available to you. Your school office will be able to signpost you to someone who will support you with any queries.
Disclaimer
The information contained within the Module Catalogue relates to the 2024 academic year.
In accordance with University Terms and Conditions, the University makes all reasonable efforts to deliver the modules as described.
Modules may be amended on an annual basis to take account of changing staff expertise, developments in the discipline, the requirements of external bodies and partners, and student feedback. Module information for the 2025/26 entry will be published here in early-April 2025. Queries about information in the Module Catalogue should in the first instance be addressed to your School Office.