Artificial Intelligence BSc (Hons)

Bachelor's degree

In Liverpool

Price on request

Description

  • Type

    Bachelor's degree

  • Location

    Liverpool

Artificial Intelligence is a subject that has fired the imaginations of many. It is one of the most important and exciting sub-fields of Computer Science. This specialist programme covers the fundamentals of Computer Science and Computer Information Systems so as to maximise your future employment opportunities. It also offers the chance to carry out cutting-edge research in this high profile area. Introductory modules cover Programming in Java, Computer Systems, Databases, Human-Centric Computing, and Algorithmic Foundations. You will also take modules in Artificial Intelligence, Software Engineering, Advanced Object Oriented Programming, and Principles of Computer Games Design and Implementation. The course is completed by a selection of honours year modules covering important topics within the subject: Knowledge Representation, the study of Multi-Agent Systems, and Robotics among the others. The programme also includes a related second year group project and an individual honours year project. Department Key Facts UK league tablesRanked 1st in the UK for 4* or 3* research in the Research Excellence Framework (REF) 2014. Graduate prospects85% of our 2015 graduates are in a professional or managerial level job six months after graduating. National Student Survey90% of our students agree staff are good at explaining things (National Student Survey 2015) Research performance97% of our research is rated as world-leading or internationally excellent in the Research Excellence Framework (REF) 2014. Our leading research is in: • Complexity Theory and Algorithms • Agent Applications, Research and Technology • Logic and Computation • Economics and Computation Why this subject? Find the right degree...

Facilities

Location

Start date

Liverpool (Merseyside)
See map
Chatham Street, L69 7ZH

Start date

On request

About this course

Entry Requirements A level offerAAB Subject requirementsAS Level Mathematical Subject at grade B. The inclusion of Mathematical subjects: Mathematics, Further Mathematics, Pure Mathematics, Computing/Computer Science, and Physics may lead to lower offers. GCSE English Language grade C or better BTECD*DD in relevant diploma. A Mathematical subject at AS level with grade B also required International Baccalaureate35 points including 5 at Higher Level Mathematics Irish Leaving CertificateA1 A1 A1 B1 Scottish...

Questions & Answers

Add your question

Our advisors and other users will be able to reply to you

Who would you like to address this question to?

Fill in your details to get a reply

We will only publish your name and question

Reviews

Subjects

  • Credit
  • Object oriented training
  • Computing
  • Artificial Intelligence
  • Java
  • Basic
  • Object-oriented training
  • IT
  • Basic IT training
  • Database
  • SQL
  • Database training
  • Operating Systems
  • Basic IT
  • Algorithms
  • Design
  • Construction
  • Logic
  • Project
  • Systems
  • Programming
  • Object oriented Programming
  • Oriented Programming
  • Operating System
  • Construction Training
  • Skills and Training

Course programme

Module details Programme Year One

All single subject degree programmes offered by the Department of Computer Science share the same modules in Year 1.

You take the following modules:

  • Introduction to Programming in Java: Introduces you to concepts and principles of problem solving by computer, the construction of algorithms for the solution of problems and their implementation in the high-level programming language Java.
  • Introduction to Databases: Introduces you to concepts and techniques for the appropriate and efficient design of databases and database systems and provides you with an understanding and practical experience of data manipulation and query in SQL.
  • Computer Systems: Provides you with an overview of the components and operations of computers and their relationship to higher-level software systems.
  • Operating System Concepts: Introduces you to the structure and functionality of modern operating systems.
  • Human-centric Computing: Provides you with an introduction to designing, implementing, and evaluating interactive software systems.
  • Algorithmic Foundations: Introduces you to the terminology and techniques underpinning the study of algorithms and standard algorithmic design paradigms.
  • Foundations of Computer Science: Provides you with the mathematical foundation, mathematical tools and basic proof techniques necessary for the study of Computer Science.
  • Professional Skills in Computer Science: Provides you with an introduction to economic, ethical, historic, legal, organisational, research, and social aspects and perspectives on computing and develops key skills you require as a computing professional.

Logic in Computer Science: Introduces you to the notation and concepts of formal logic as necessary means of ensuring clarity, precision and absence of ambiguity in the specification and verification of computer-based systems.

Compulsory modules
  • Introduction To Programming In Java (COMP101) Level 1 Credit level 15 Semester First Semester Exam:Coursework weighting 0:100 Aims
    To introduce concepts and principles of problem solving by computer, and the construction of appropriate algorithms for the solution of problems.

  • ​To demonstrate the principles underlying the design of high level programming languages.

  • ​ To give students experience and confidence in the use of a high level programming language to implement algorithms.

  • Learning Outcomes

    ​ Be able to implement, compile, test and run Java programmes, comprising more than one class, to address a particular software problem.

    ​ Understand how to include arithmetic operators and constants in a Java program.

    ​ Be able to make use of members of classes found in the Java API (such as the Math class).

    ​ Demonstrate the ability to employ various types of selection constructs in a Java program.

    ​ Demonstrate the ability to employ repetition constructs in a Java program.

    Be able to employ a hierarchy of Java classes to provide a solution to a given set of requirements.

    ​ Demonstrate the ability to use simple data structures like arrays in a Java program.

    ​ Specific learning outcomes are listed above.


    General learning outcomes:

    • An understanding of the principles and practice of object oriented analysis and design in the construction of robust, maintainable programs which satisfy their requirements;
    • A competence to design, write, compile, test and execute straightforward programs using a high level language;
    • An appreciate of the principles of object oriented programming;
    • An awareness of the need for a professional approach to design and the importance of good documentation to the finished programs.

     

  • Introduction To Databases (COMP102) Level 1 Credit level 15 Semester Whole Session Exam:Coursework weighting 60:40 Aims
    1. To gain an understanding of database systems, encourage the appropriate and efficient design and usage of database systems at the conceptual and logical level;
    2. To provide an understanding and practical experience of of data manipulation and query in SQL;
    3. To provide a basic understanding of relational algebra and its mapping to SQL.
    Learning Outcomes

    At the end of this module the student should be able to

    1. identify principles of conceptual design using ER and UML design methodologies;
    2. apply principles of conceptual design using ER and UML design methodologies;
    3. recognise logical design principles, in particular normalization and functional dependencies;
    4. state the issues related to physical design;
    5. use SQL as a data definition and manipulation language, and as a language for querying databases;
    6. operate and use a basic DBMS;
    7. identify the principles underpinning the relational model and its relationship to SQL;
    8. identify the legal implications of creating and maintaining a database system.
  • Computer Systems (COMP103) Level 1 Credit level 15 Semester First Semester Exam:Coursework weighting 80:20 Aims
    •  To introduce how computers function at the instruction operation level.
    • To introduce the relationships between the instruction operation level and both the higher (software) and lower (hardware) levels
    Learning Outcomes

    At the conclusion of the module, students should: 

    • Understand how a computer operates at the machine code level;
    • Understand at an introductory level the structure of computer hardware at the gate and register transfer level;
    • Appreciate the roles and organisation of the major kinds of system software, including operating systems, compilers and system service routines.

     

     

     

  • Operating System Concepts (COMP104) Level 1 Credit level 15 Semester Second Semester Exam:Coursework weighting 80:20 Aims
    1. To introduce students to the structure and functionality of modern operating systems.
    2. ​To explain how the principal components of computer-based systems perform their functions and how they interact with each other.

    Learning Outcomes

    be able to state the overall structure and functionality of a modern operating system and the interactions between computer hardware and user-processes.

    ​be able to identify the operations of the major components of an operating system, including the device manager, file manager, memory manager, and process manager.

    be able to ​identify the functions of system programs, including parsers, compilers, and virtual machines.

    be able to ​construct programs which demonstrate in a simple form the operation of examples of systems program, including simple compilers and programs that involve the managment of concurrent processes.

  • Human-centric Computing (COMP106) Level 1 Credit level 15 Semester Second Semester Exam:Coursework weighting 80:20 Aims
  • ​To provide guidelines, concepts and models for designing and evaluating interactive systems.
  • To provid​ e an introduction to designing and implementing graphical user interfaces.
  • Learning Outcomes ​ identify or describe the tasks and issues, such as establishing requirements, developing designs, and implementing designs, which are involved in the process of developing efficient, effective, and safe interactive products for people, and the tools and techniques used to perform these tasks 
    identify or describe and compare different styles of interaction for graphical user interfaces​ evaluate and critique existing interactive systems, in accordance with human-centric principles, standards and guidelines for interface design, including usability, accessibility, and health and safety issues illustrate how event-driven software can be designed using standard, formal techniques​ construct Web pages that conform to current Web standards​

    write Java programs that demonstrate simple examples of graphical user interfaces

  • Algorithmic Foundations (COMP108) Level 1 Credit level 15 Semester Second Semester Exam:Coursework weighting 80:20 Aims
    1. To introduce the notation, terminology, and techniques underpinning the study of algorithms.
      1. ​ To introduce the standard algorithmic design paradigms employed in the development of efficient algorithmic solutions.

      2. To introduce the mathematical tools needed for the analysis of algorithms in terms of the use of formal models of Time and Space.
      3. Learning Outcomes describe standard algorithms such as sorting algorithms, search algorithms, string matching algorithms, graph traversal algorithms;

        apply these algorithms or a given pseudo code algorithm in order to solve a given problem;

        ​ carry out simple asymptotic analyses of algorithms involving sequence, selection, and iteration, and identify and compare simple properties of these algorithms;

        ​ describe the algorithm design principles of divide-and-conquer, greedy method, and dynamic programming and distinguish the differences between these principles;

        ​ apply the studied algorithms that illustrate these design principles;

        ​ apply the studied design principles to produce algorithmic solutions to a given problem;

        ​ explain and illustrate the distinction between different classes of problems, in particular, polynomial time and exponential time solvable problems.

      4. Foundations of Computer Science (COMP109) Level 1 Credit level 15 Semester First Semester Exam:Coursework weighting 80:20 Aims
        1. To introduce the notation, terminology, and techniques underpinning the discipline of Theoretical Computer Science.
        2. To provide the mathematical foundation necessary for understanding datatypes as they arise in Computer Science and for understanding computation.
        3. To introduce the basic proof techniques which are used for reasoning about data and computation.
        4. To introduce the basic mathematical tools needed for specifying requirements and programs
        Learning Outcomes Reason about simple data types using basic proof techniques;

        Iinterpret set theory notation, perform operations on sets, and reason about sets; ​

        Understand, manipulate and reason about unary relations, binary relations, and functions;

        Represe nt statements in propositional logic, and to recognise, understand, and reason about formulas in propositional logic;

        Apply  basic counting and enumeration methods as these arise in analysing permutations  and combinations;

        Perform simple calculation about discrete probablility.

      5. Professional Skills In Computer Science (COMP110) Level 1 Credit level 7.5 Semester Whole Session Exam:Coursework weighting 0:100 Aims
      6. ​To provide students with the key skills required of a computing professional.  

      7. ​T o develop the communication and employability skills of students.

      8. ​To provide students with an economic, historic, organisational, research, and social perspective on computing. ​

      9. To introduce students to concepts of professional ethics as well as social and legal aspects of computing. ​

Artificial Intelligence BSc (Hons)

Price on request