Module Information
Course Delivery
Delivery Type | Delivery length / details |
---|---|
Practical | 10 x 2 Hour Practicals |
Lecture | 10 x 1 Hour Lectures |
Assessment
Assessment Type | Assessment length / details | Proportion |
---|---|---|
Semester Exam | 2 Hours online examination | 50% |
Semester Assessment | Weekly exercises (10) that involve computational thinking | 50% |
Supplementary Exam | 2 Hours Resit failed Examination | 50% |
Supplementary Assessment | Resubmission of failed/non-submitted coursework components or ones of equivalent value | 50% |
Learning Outcomes
On successful completion of this module students should be able to:
1. Explain the basics of computational thinking and relate to different environments
2. Read and write computer code as appropriate
3. Critique a software product and explain how it exhibits computational thinking.
Aims
The module aims to increase students' ability to abstract solutions to problems in a programming language
Brief description
This module reinforces the programming concepts being introduced in CS12020. All computational thinking is characterised by decomposition, data representation, generalization/abstraction, and the creation of an algorithm. In CS12020 students are applying their algorithms in the environment of C programming on arduinos. In this module there will be further discussion of these topics and supplementary examples of creation of an algorithm in an appropriate programming language.
Content
- Online quiz,
- a set of text based exercises; or
- programming exercise in an appropriate programming language.
Some of the topics covered will be:
1. Basics of programming
2. Variables
3. Selection
4. Iteration
5. Decomposition
6. Events
7. Compiling vs. interpreting- different programming language environments
8. Debugging and understanding the ways in which programs can go wrong
9. Complex variables (lists and objects)
The fundamental concepts behind all programming are decomposition, iteration and selection. These things are realized differently in different programming languages and in fact in all problem solving. Students will be encouraged to make those parallels explicit in different environments and to use techniques from programming in real world problem solving and vice versa.
Module Skills
Skills Type | Skills details |
---|---|
Application of Number | Yes in assignment |
Communication | Yes in assignment and exam |
Improving own Learning and Performance | Yes in assignment |
Information Technology | Yes in assignment |
Personal Development and Career planning | |
Problem solving | Yes in assignment and exam |
Research skills | Yes in assignment |
Subject Specific Skills | See module content |
Team work | No |
Notes
This module is at CQFW Level 4