Postgraduate Course: Python Programming (CMSE11616)
Course Outline
| School | Business School |
College | College of Arts, Humanities and Social Sciences |
| Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
| Course type | Online Distance Learning |
Availability | Not available to visiting students |
| SCQF Credits | 10 |
ECTS Credits | 5 |
| Summary | This course provides students with the basics of programming in Python which will render them capable of solid algorithmic thinking, building your own programs, and of understanding and critically reflecting on the technical aspects of quantitative business problems. |
| Course description |
This course aims at introducing Data and Decision Analytics students to the topic of programming and software engineering in Python. Python will be a key building block of several courses. The ability to collect and transform data, perform analyses on them, and do this in an efficient way, is the basic setup of many topics in statistics, business modelling, operational research, and so on. By providing a thorough background in the building blocks of programming and its applications, this course aims to provide non-technical profiles with the necessary basics to be comfortable using a programming environment.
Couurse outline content
- Introductory programming concepts
- Data structures and algorithms
- Libraries and Tools required for Data and Decision Analytics applications
Student learning experience
Tutorial/seminar hours represent the minimum total live hours - online - a student can expect to receive on this course. These hours may be delivered in tutorial/seminar, workshop or other interactive whole class or small group format. These live hours may be supplemented by pre-recorded lecture material for students to engage with asynchronously. Live sessions will be delivered only once.
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Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
|
Co-requisites | |
| Prohibited Combinations | |
Other requirements | None |
Course Delivery Information
|
| Academic year 2024/25, Not available to visiting students (SS1)
|
Quota: None |
| Course Start |
Block 1 (Sem 1) |
Timetable |
Timetable |
| Learning and Teaching activities (Further Info) |
Total Hours:
100
(
Lecture Hours 10,
Seminar/Tutorial Hours 10,
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
78 )
|
| Assessment (Further Info) |
Written Exam
0 %,
Coursework
100 %,
Practical Exam
0 %
|
| Additional Information (Assessment) |
100% Project report (Individual) - Assesses all course Learning Outcomes |
| Feedback |
Formative:
- Delivered throughout live sessions where students and instructors discuss coding exercises.
- Forums where students can post their answers to exercises. Instructors will comment where appropriate. Students can see and comment on each other's code.
- Mini-diaries about course progress. Students can see and each other's diaries.
Summative:
Feedback will be provided on assessment.
|
| No Exam Information |
Learning Outcomes
On completion of this course, the student will be able to:
- Utilise basic Python programming constructs.
- Critically apply a variety of programming paradigms.
- Operationalise existing python libraries.
- Document code and describe/communicate the structure of a programme.
- Independently carry out a requirement analysis to identify procedures and data needed for tackling a problem and be able to communicate them to a critical audience of specialists and non-specialists.
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Additional Information
| Graduate Attributes and Skills |
Communication, ICT, and Numeracy Skills
After completing this course, students should be able to:
Convey meaning and message through a wide range of communication tools, including digital technology
and social media; to understand how to use these tools to communicate in ways that sustain positive and
responsible relationships.
Critically evaluate and present digital and other sources, research methods, data and information; discern
their limitations, accuracy, validity, reliability and suitability; and apply responsibly in a wide variety of
organisational contexts.
Practice: Applied Knowledge, Skills and Understanding
After completing this course, students should be able to:
Apply creative, innovative, entrepreneurial, sustainable and responsible business solutions to address
social, economic and environmental global challenges.
Cognitive Skills
After completing this course, students should be able to:
Be self-motivated; curious; show initiative; set, achieve and surpass goals; as well as demonstrating
adaptability, capable of handling complexity and ambiguity, with a willingness to learn; as well as being able to
demonstrate the use digital and other tools to carry out tasks effectively, productively, and with attention to
quality.
Knowledge and Understanding
After completing this course, students should be able to:
Demonstrate a thorough knowledge and understanding of contemporary organisational disciplines;
comprehend the role of business within the contemporary world; and critically evaluate and synthesise primary
and secondary research and sources of evidence in order to make, and present, well informed and transparent
organisation-related decisions, which have a positive global impact.
Identify, define and analyse theoretical and applied business and management problems, and develop
approaches, informed by an understanding of appropriate quantitative and/or qualitative techniques, to explore
and solve them responsibly. |
| Keywords | Not entered |
Contacts
| Course organiser | Dr Ben Moews
Tel: (01316) 508074
Email: Ben.Moews@ed.ac.uk |
Course secretary | Mr Ewan Henderson
Tel:
Email: ehende2@ed.ac.uk |
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