CSC1033 : Foundations of Data Science
- Offered for Year: 2024/25
- Module Leader(s): Dr John Colquhoun
- Lecturer: Dr Dan Nesbitt
- Teaching Assistant: Mrs Chinomnso Ekwedike, Mrs Mahdieh Zaker
- Owning School: Computing
- Teaching Location: Newcastle City Campus
Semesters
Your programme is made up of credits, the total differs on programme to programme.
| Semester 1 Credit Value: | 10 |
| Semester 2 Credit Value: | 10 |
| ECTS Credits: | 10.0 |
| European Credit Transfer System | |
Aims
This module will provide students with an understanding of information storage and retrieval. This relates to all forms of data, including text and multimedia (image, video and audio) stored on and consumed from the web, amongst other sources. The module covers fundamental techniques and strategies of information storage and retrieval used in a variety of online applications such as web- search engines and business storage and analytics.
Outline Of Syllabus
* Retrieval, browsing, user information needs, and other core concerns.
* Notions of structured, unstructured and semi-structured data
* Data representation (XML, character sets, images, audio/video)
* Relational databases, SQL
* A generic architecture for information retrieval
* Spiders/crawlers, stopwords and keywords, indexing and stemming
* Query expansion and its relationship with the Semantic Web.
* Metadata and semantics, faceted classifications, and other "linked data" issues
* Information models, databases and data normalization for transactional systems (OLTP)
* Data de-normalization, data marts / data warehouses, star and snowflake schemas, and cubes as support for analytical systems (OLAP) as support to Business Intelligence
* The challenges presented by "Big Data"
* NoSQL and Cloud Computing for distributed and scalable treatment of "Big Data".
* Exemplar applications, including publishing archives, web-based search engines
* Data Ethics
Teaching Methods
Teaching Activities
| Category | Activity | Number | Length | Student Hours | Comment |
|---|---|---|---|---|---|
| Guided Independent Study | Assessment preparation and completion | 69 | 1:00 | 69:00 | Lecture follow-up |
| Guided Independent Study | Assessment preparation and completion | 12 | 1:00 | 12:00 | Revision for semester 2 exam |
| Scheduled Learning And Teaching Activities | Lecture | 33 | 1:00 | 33:00 | Lectures are planned to be delivered in person but if this is stopped, we will instead release video |
| Guided Independent Study | Assessment preparation and completion | 1 | 1:30 | 1:30 | Semester 2 examination. Will be online. |
| Guided Independent Study | Assessment preparation and completion | 12 | 1:00 | 12:00 | Semester 1 Assessed Coursework. There will be no return to the Semester 1 examination |
| Guided Independent Study | Assessment preparation and completion | 4 | 1:00 | 4:00 | Formative exercises (mock tests, quiz questions-non compulsory) |
| Scheduled Learning And Teaching Activities | Practical | 22 | 1:00 | 22:00 | Practical activities which can be done online at home if required to stop in-person teaching. |
| Scheduled Learning And Teaching Activities | Drop-in/surgery | 22 | 0:30 | 11:00 | Online Q&A session/drop-in with module staff. Also to be used as coursework clinic in Semester 1. |
| Guided Independent Study | Independent study | 1 | 35:30 | 35:30 | Background reading and independent study |
| Total | 200:00 |
Teaching Rationale And Relationship
Techniques and theory are presented in lectures. Practical sessions provide experience of designing and building database applications and can be carried out online.
This is a very practical subject, and it is important that the learning materials are supported by hands-on opportunities provided by practical classes, and on the related Programming Portfolio modules.
The new online drop-in/clinic sessions give students additional support and chances to talk to staff members. This will include students who are not present in Newcastle.
Assessment Methods
The format of resits will be determined by the Board of Examiners
Exams
| Description | Length | Semester | When Set | Percentage | Comment |
|---|---|---|---|---|---|
| Written Examination | 90 | 2 | A | 50 | Exam |
Other Assessment
| Description | Semester | When Set | Percentage | Comment |
|---|---|---|---|---|
| Case study | 1 | M | 50 | Assessed Coursework covering Semester 1 taught material. |
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 |
|---|---|---|---|
| Written exercise | 2 | M | Mock Test prior to Exam to consolidate student knowledge ahead of summative exam |
Assessment Rationale And Relationship
The written examination in Semester 2 will assess the fundamental knowledge and understanding of Semester 2 taught material.
Semester 1 will be assessed with a piece of coursework allowing the students to apply the theory taught in lectures to a given scenario.
A mock test will take place in Semester 2 to enable the students to prepare for the examination.
The portfolio modules will also use elements from this module enabling further practice for the students.
Reading Lists
Timetable
- Timetable Website: www.ncl.ac.uk/timetable/
- CSC1033's Timetable