Module manager: Dr Samson Fabiyi
Email: s.d.fabiyi@leeds.ac.uk
Taught: Semesters 1 & 2 (Sep to Jun) View Timetable
Year running 2025/26
COMP0012 – Introduction to web technologies COMP0013 – Introduction to programming
This module is not approved as a discovery module
This module introduces students to the foundational concepts of computer science essential for progressing to a Computer Science degree program. It covers a wide range of topics including computer systems and architecture; programming; data representation; and software development. Students will learn about network topologies; memory and storage types; logic circuits and programming paradigms. The module also includes practical skills in pseudocode, data structures, and database management using SQL. By the end of the module, students will have a solid understanding of computer science principles and be well-prepared for further studies in the field.
The module aims to provide students with a comprehensive understanding of fundamental computer science concepts and practical skills. It prepares students for a Computer Science degree program by covering key areas such as computer systems, networking technologies, programming, database management, and software development.
On successful completion of the module students will have demonstrated the following learning outcomes relevant to the subject:
1. Explain the features, purpose, and benefits of communication and networking technologies.
2. Describe the various components of computer systems, including operating systems, language translators and assembly language.
3. Construct truth tables, logic circuits and expressions, and explain the functions of different logic gates.
4. Demonstrate the knowledge of pseudocode writing; functions; data types and structure; and in programming, and explain different programming paradigms
5. Apply computational thinking and the knowledge of programming design, testing and maintenance techniques and tools in software development
6. Describe and use data management, data integrity and data security principles and methods, explaining the need for data integrity and data security
Communication and internet technologies
Networks including the internet
Protocols
Circuit switching, packet switching
Hardware
Computers and their components
Logic Gates and Logic Circuits
Processor Fundamentals
Central Processing Unit (CPU) Architecture
Assembly Language
Bit manipulation
System Software
Operating Systems
Language Translators
Security, privacy and data integrity
Data Security
Data Integrity
Encryption, Encryption Protocols and Digital Certificates
Information representation
Data Representation
Databases
Database Concepts
Database Management Systems (DBMS)
Data Definition Language (DDL) and Data Manipulation Language (DML)
Algorithm Design and Problem-solving
Computational Thinking Skills
Algorithms
Data Types and Structures
Data Types and Records
Arrays
Files
Introduction to Abstract Data Types (ADT)
Programming
Programming Basics
Constructs
Structured Programming
Software Development
Program Development Life cycle
Program Design
Program Testing and Maintenance
Further Programming
Programming Paradigms
File Processing and Exception Handling
| Delivery type | Number | Length hours | Student hours |
|---|---|---|---|
| Lecture | 44 | 1 | 44 |
| Practical | 20 | 2 | 40 |
| Private study hours | 116 | ||
| Total Contact hours | 84 | ||
| Total hours (100hr per 10 credits) | 200 | ||
116 hours.
Students will work on formative exercises that complement the lectures and prepare them for the coursework and exam. Students will have opportunities to receive feedback on the formative exercises during weekly lab sessions. Additionally, students will receive immediate feedback on in-class formative tasks conducted during lectures.
| Assessment type | Notes | % of formal assessment |
|---|---|---|
| Assignment | Coursework | 30 |
| Total percentage (Assessment Coursework) | 30 | |
Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated
| Exam type | Exam duration | % of formal assessment |
|---|---|---|
| Unseen Practical exam (Semester 2) | 2.0 Hrs Mins | 70 |
| Total percentage (Assessment Exams) | 70 | |
In-person closed-book exam
Check the module area in Minerva for your reading list
Last updated: 04/04/2025
Errors, omissions, failed links etc should be notified to the Catalogue Team