CSC8621 : Computing Foundations of Data Science
- Offered for Year: 2024/25
- Module Leader(s): Dr Jennifer Warrender
- Teaching Assistant: Mr Omid Akbarzadeh
- 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 |
| ECTS Credits: | 5.0 |
| European Credit Transfer System | |
Aims
This module aims to introduce the fundamental computing concepts and techniques underpinning contemporary data science. The module aims to provide students with a grounding in program design and implementation, programming environments. Furthermore, it explores how to apply and devise algorithms for a particular problem.
This module places an emphasis on clear design and development of programs, teaching how to break problems down to provide simpler and easier-to-use solutions. Students will apply these skills at a practical level with a particular programming language, though the skills learned here can be applied to any programming language.
Outline Of Syllabus
- What is programming?
- The building blocks and structure of computer programs.
- Tackling data analysis problems.
- Algorithms and some examples.
- Introduction to a programming language, and relevant libraries, for data analysis.
- Methods and data structures for data analysis.
- Case studies in software development within a data science context.
Teaching Methods
Teaching Activities
| Category | Activity | Number | Length | Student Hours | Comment |
|---|---|---|---|---|---|
| Scheduled Learning And Teaching Activities | Lecture | 8 | 1:00 | 8:00 | Synchronous present in person (pip) tutorial sessions. |
| Structured Guided Learning | Lecture materials | 12 | 1:00 | 12:00 | Asynchronous online materials |
| Guided Independent Study | Assessment preparation and completion | 1 | 24:00 | 24:00 | Practical/lab report assessments |
| Guided Independent Study | Assessment preparation and completion | 12 | 2:00 | 24:00 | Lecture follow-up includes time for formative exercises |
| Scheduled Learning And Teaching Activities | Practical | 8 | 1:00 | 8:00 | Synchronous present in person (pip) practical sessions. |
| Guided Independent Study | Independent study | 1 | 24:00 | 24:00 | Background Reading |
| Total | 100:00 |
Teaching Rationale And Relationship
Lectures materials are used for the delivery of theory and explanation of methods, illustrated with examples, and for giving general feedback on marked work. Lecture follow-up, e.g., quizzes and exercises, is associated with each lecture in order to provide sufficient hands-on training and rapid feedback on understanding. Scheduled sessions are used both for solution of problems and work requiring extensive computation and to give insight into the ideas/methods studied.
Assessment Methods
The format of resits will be determined by the Board of Examiners
Other Assessment
| Description | Semester | When Set | Percentage | Comment |
|---|---|---|---|---|
| Practical/lab report | 1 | M | 100 | Programming assignment |
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 |
|---|---|---|---|
| Prob solv exercises | 1 | M | Practical/Tutorial exercises |
Assessment Rationale And Relationship
Programming assignment allows the students to develop their problem-solving techniques, to practise the methods learned in the module, to assess their progress and to receive feedback.
Students will be given a formative exercise to introduce them to relevant tools, develop their understanding of programming concepts and provide them with the opportunity to gain experience through practical application.
Reading Lists
Timetable
- Timetable Website: www.ncl.ac.uk/timetable/
- CSC8621's Timetable