Academic Handbook MA Philosophy and Artificial Intelligence (Subject to Approval)
Introduction to Programming Course Descriptor
Last modified on February 1st, 2024 at 11:32 am
| Course code | LCSCI7238 | Discipline | Computer Science |
| UK Credit | N/A (non-accredited) | US Credit | NA |
| FHEQ level | N/A | Date approved | June 2023 |
| Core attributes | N/A | ||
| Pre-requisites | None | ||
| Co-requisites | None | ||
Course Overview
By the end of this course, students will be able to implement code in Python to a beginner level. Students will understand the basics of implementing code and working with data. The course covers the construction of data structures using dictionaries, sets, tuples, lists and arrays. It also covers functions and control flow using conditionals and loops as well as implementing mathematical concepts from probability and calculus using Python.
Learning Outcomes
On successful completion of the course, students will be able to:
Knowledge and Understanding
| K1d | Attain fundamental principles of software development such as abstraction, data representation, and logic |
| K2d | Demonstrate evidence of problem-solving using concepts from computer science |
Subject Specific Skills
| S1d | Construct programs using key features in Python to model problems and represent information using abstraction |
Transferable and Professional Skills
| T1d | Identify and analyse problems to design appropriate solutions |
| T3d | Work with peers on a project to envision a solution to a computing problem |
| T4d | Work effectively and independently through reflective practice |
Teaching and Learning
This course has a dedicated Virtual Learning Environment (VLE) page with a syllabus and range of learning resources to orientate and engage students in their studies. All scheduled teaching and learning activities for this course are delivered online via the VLE.
Students are to attend and participate in all the scheduled teaching and learning activities for this course and to manage their directed learning and independent study.
Indicative Reading
Note: Comprehensive and current reading lists for courses are produced annually in the Course Syllabus or other documentation provided to students; the indicative reading list provided below is used as part of the approval/modification process only.
Books
- Montfort, N. (2021). Exploratory programming for the arts and humanities. MIT Press.
- Python Software Foundation (2023). The Python Tutorial. Python Software Foundation
- Spiegelhalter, D. (2019). The art of statistics: Learning from data. Penguin UK.
Indicative Topics
Note: Comprehensive and current topics for courses are produced annually in the Course Syllabus or other documentation provided to students. The indicative topics provided below are used as a general guide and part of the approval/modification process only.
- Introduction to Python
- Data representation
- Control Flow
- Probability and Calculus
Version History
| Title: LCSCI7238 Introduction to Programming
Approved by: Academic Board Location: Academic Handbook/Programme specifications and Handbooks/ Postgraduate Programme Specifications/ |
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| Version number | Date approved | Date published | Owner | Proposed next review date | Modification (As per AQF4) & category number |
| 1.0 | June 2023 | June 2023 | Alexandros Koliousis | April 2028 | |