MAS1803 : Problem Solving with Python
- Offered for Year: 2025/26
- Module Leader(s): Dr Chris Graham
- Owning School: Mathematics, Statistics and Physics
- 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
To introduce the programming language Python and its application to mathematical problems. To promote familiarity with the environment for standard mathematical operations, and to work towards the ideas of coding user-defined functions and scripts, and further towards programming aimed at solving more substantial problems.
To promote independent thinking and critical appraisal by linking the computational experience to the tackling of unfamiliar problems that have not been directly demonstrated to them and which can be formulated mathematically.
Module summary
Computing methods are of great use in a wide range of applications of pure and applied mathematics, as well as statistics. This module will introduce and develop familiarity with mathematical computing, relate this to problem solving techniques based on independent thinking, and develop the ability to apply such methods independently, towards specific goals in mathematical study and applications.
Outline Of Syllabus
Use of Python for mathematical computing. Getting started, input and output, data types, plotting and simple calculations, control statements and functions. An introduction to numerical methods.
Individual problems based on existing mathematical knowledge (such as calculus, sequences and series, single value functions, curve sketching and simple numerical analysis, linear algebra, matrix manipulations, permutations and combinations).
Mathematical problems and puzzles from topics such as logic, number theory, geometry, algebra, strategy.
Teaching Methods
Teaching Activities
| Category | Activity | Number | Length | Student Hours | Comment |
|---|---|---|---|---|---|
| Guided Independent Study | Assessment preparation and completion | 21 | 1:00 | 21:00 | In course assessment preparation |
| Scheduled Learning And Teaching Activities | Lecture | 10 | 2:00 | 20:00 | Computer cluster practical sessions |
| Scheduled Learning And Teaching Activities | Lecture | 4 | 1:00 | 4:00 | Formal Lectures |
| Scheduled Learning And Teaching Activities | Lecture | 7 | 1:00 | 7:00 | Problem Classes |
| Guided Independent Study | Assessment preparation and completion | 1 | 2:00 | 2:00 | Class Test |
| Guided Independent Study | Independent study | 46 | 1:00 | 46:00 | Preparation time for lectures, background reading, coursework review |
| Total | 100:00 |
Teaching Rationale And Relationship
The teaching methods are appropriate to allow students to develop a wide range of skills, from understanding basic concepts and facts to higher-order thinking. Lectures are used for the delivery of theory and explanation of methods, and for giving general feedback on marked work. Problems classes give a chance to illustrate applications of the course material to examples. Material will be available to tackle asynchronously following each lecture, with a practical which gives a chance for individual support.
Assessment Methods
The format of resits will be determined by the Board of Examiners
Exams
| Description | Length | Semester | When Set | Percentage | Comment |
|---|---|---|---|---|---|
| Digital Examination | 120 | 1 | M | 70 | Digital Examination (week 11) |
Other Assessment
| Description | Semester | When Set | Percentage | Comment |
|---|---|---|---|---|
| Prob solv exercises | 1 | M | 10 | Problem solving exercises |
| Prob solv exercises | 1 | M | 10 | Problem-solving exercises |
| Prob solv exercises | 1 | M | 10 | Problem-solving exercises |
Assessment Rationale And Relationship
A substantial class test is appropriate for the assessment of the material in this module. The format of the test will enable students to reliably demonstrate their own knowledge, understanding and application of learning outcomes. The assurance of academic integrity forms a necessary part of the programme accreditation.
The coursework assignment allows the students to develop their problem solving techniques, to practise the methods learnt in the module, to assess their progress and to receive feedback; this assessment has a secondary formative purpose as well as a primary summative purpose.
Reading Lists
Timetable
- Timetable Website: www.ncl.ac.uk/timetable/
- MAS1803's Timetable