Computer Science & Cloud Computing

Computer Science and Cloud Computing remain hot topics in the IT sector, and there is strong demand for graduates with technical skills in this area.

Created by successful industry experts, this Online Postgraduate Diploma in Computer Science and Cloud Computing provides participants with hands-on training and an extensive and comprehensive insight into topics related to both Computer Science and Cloud Computing. By the time you have completed this course you will have a broad base of practical skills that will help you land a job in your chosen field.

Subjects taught

Computer Systems
Computer Architecture; Machine Language; Program Execution; Arithmetic/Logic Instructions; Communicating with Other Devices; Other Architectures; Network Fundamentals; the Internet; the World Wide Web; Internet Protocols; Security; The History of a Computing Hardware; The History of a Computing Software;

Communication and Information
Managing Information; Thinking Machines; the Turing Test; Aspects of AI; Knowledge Representation; Semantic Networks; Search Trees; Expert Systems; Networking; Types of Networks; Internet Connections; Packet Switching; Open systems and protocols; TCP/IP; High- Level Protocols; MIME types; Firewalls; Information Retrieval; Organisation;

Microprocessor Systems
CPU Scheduling; Memory Process and CPU management; Batch Processing; Multiprocessor Operating Systems; Computers and Electricity; Gates 94; Gate 96; XOR gate 96; NAND and NOR gates 97; Transistors; Combinational Circuits; Adders; Multiplexers; Circuits as Memory; Integrated Circuits; CPU Chips; Individual Computer Components; Stored-program Concept; von Neumann Architecture; The Fetch-Execute Cycle; RAM and ROM; Secondary Storage Devices; Touch Screens; Embedded Systems; Parallel Computing; Parallel Hardware;

Operating Systems
The History of Operating Systems; Operating System Architecture; Coordinating the Machine’s Activities; Handling Competition among Processes; Security Roles of an Operating system; Memory Management; Process Management; Capabilities of the Hardware; Single User OS – Network OS; Real-time Operating Systems; Embedded Systems; Management of Input and Output; Processes and Scheduling; Threads; Synchronization; Semaphores; Monitors; Deadlock; Scheduling; Memory Management;

Mathematics for Computing
Numbers and Computing; Positional Notation; Binary; Octal and Hexadecimal; Arithmetic in other Bases; Power-of-2 Number Systems; Converting from Base 10 to other Bases; Binary Values and Computers;

Algorithms; Data Structures and Computability
The Definition of an Algorithm; The Role of Algorithms; The Science of Algorithms; The Concept of an Algorithm; Algorithm Representation; Unsolvable Problems; Analyzing Algorithms; Algorithms with Simple Variables; Composite Variables; Algorithm Discovery; Iterative Structures Recursive Structures; Efficiency and Correctness;

Databases
Spreadsheets; Spreadsheet Formulas; Circular References; Spreadsheets Analysis; Database Management Systems; the Relational Model; Relationships; Structured Query Language; Database Design; E-Commerce; The Ubiquitous Database; Database types; Advantages of Using a Database; Modelling the Data Domain; Building a relational Database from the Data Model; Normalisation; SQL; DDL; DML; Storied Procedures; Triggers; Data Integrity; Transaction Isolation Levels; Accessing the Database Programmatically;

Introduction to Computers and the Internet
Organization; Machine Languages; Assembly Languages and High-Level Languages; History of the Internet and World Wide Web; World Wide Web Consortium (W3C); Web; Personal; Distributed and Client/Server Computing; Hardware Trends; Object Technology; JavaScript: Object-Based Scripting for the Web; Browser Portability; C; C++ and Java; BASIC; Visual Basic; Visual C++; C# and ;NET; Software Technologies;

Web Browser Basics: Google Chrome
Introduction to the Google Chrome Web Browser; Connecting to the Internet; Features; Customizing Browser Settings; Searching the Internet; Keeping Track of Your Favorite Sites; File Transfer Protocol (FTP); Online Help; Other Web Browsers;

Understanding Web 2.0
What Is Web? Search; Content Networks; User-Generated Content; Blogging; Social Networking; Social Media; Tagging; Social Bookmarking; Software Development; Rich Internet Applications (RIAs); Web Services; Mashups; Widgets and Gadgets; Location-Based Services; XML; RSS; Atom; JSON and VoIP; Web Monetization Models; Web Business Models; Future of the Web;
Where to Go for More Web; Information; Web Bibliography; Web Glossary;
Introduction to XHTML
Editing XHTML; First XHTML Example; W3C XHTML Validation Service; Headings; Linking; Images; Special Characters and Horizontal Rules; Lists; Tables; Forms; Internal Linking; meta Elements;

Cascading Style Sheets (CSS)
Inline Styles; Embedded Style Sheets; Conflicting Styles; Linking External Style Sheets; Positioning; Elements; Backgrounds; Element Dimensions; Box Model and Text Flow; Media Types; Building a CSS Drop-Down Menu;User Style Sheets; CSS 3;

JavaScript: Introduction to Scripting
Simple Program: Displaying a Line of Text in a Web Page; Modifying Our First Program; Obtaining User Input with prompt Dialogs; Dynamic Web Page; Adding Integers; Memory Concepts; Arithmetic; Decision Making: Equality and Relational Operators;

JavaScript: Control Statements
Algorithms; Pseudocode; Control Structures; if Selection Statement; while Repetition Statement; Formulating Algorithms: Counter-Controlled Repetition; Formulating Algorithms: Sentinel-Controlled Repetition; Formulating Algorithms: Nested Control Statements; Assignment Operators; Increment and Decrement Operators; Essentials of Counter-Controlled Repetition; for Repetition Statement; Examples Using the for Statement switch Multiple-Selection Statement; break and continue Statements; Labeled break and continue Statements; Logical Operators; Summary of Structured Programming;

Human Computer Interaction
Modularity; Tools of the Trade; Quality assurance; Documentation; The Human- Machine Interface; Neural Networks – Biological/Artificial Neural Networks; Natural Language Processing; Voice Synthesis; Voice Recognition; Natural Language Comprehension; Robotics; The Sense-Plan-Act Paradigm; Physical Components;

Fundamentals of Programming and Program Design
Computer Operations; Machine Language; Assembly Language; Expressing Algorithms; Generations of Languages; Compilers and Interpreters; Virtual Machines; Procedural Programming; Object- Orientated Programming; Scripting Languages; Functional Languages; Language Design; Language Syntax and Semantics;

Creating Java Applications
Introduction to Java Applications; Using the javac command to compile Java applications; Using the java command to run Java applications; Displaying Text with printf; Variables and Introducing Arithmetic Operators; Equality and Relational Operators;

Using Classes and Objects
Classes; Objects; Methods and Instance Variables; Declaring Class and Methods; Instantiating an Object of a Class; Declaring a Method with a Parameter; Instance Variables; set Methods and get Methods; Primitive Types vs; Reference Types; Initializing Objects with Constructors; Floating-Point Numbers and Type double;

Control Statements and Methods
"if" Single-Selection Statement; "if" ;;; else Double-Selection Statement; while Repetition Statement; Counter-Controlled Repetition; Sentinel-Controlled Repetition; Nested Control Statements; Compound Assignment Operators; Increment and Decrement Operators; Primitive Types; Essentials of Counter-Controlled Repetition; break and continue Statements; Logical Operators; Static Methods; static Fields and Class Math; Notes on Declaring and Using Methods; Method-Call Stack and Activation Records;

Arrays
Declaring and Creating Arrays; Examples Using Arrays; Enhanced for Statement; Passing Arrays to Methods; Multidimensional Arrays;

Classes and Objects and Inheritance
Classes and Objects; Inheritance: Constructors and Subclasses;

Polymorphism and Exception Handling
Polymorphism Overview; Creating Interfaces and Drawing with Polymorphism; Exception Handling;

Database and JDBC
Databases: SQL, MySQL, JDBC and Java DB;

GUI Programming
Computer Graphics and Modelling; Computer Rendering and Animation;

Software Engineering
The Software Lifecycle; Methodologies, Ownership and Liability; Reading a Software License; Software Disasters;

Computer Security
Computer Threats; Preventing Computer Threats;

Introduction to Cloud Computing
Defining a Cloud; History of Cloud Computing; The Value of Cloud Computing; Cloud Glossary of Terms; The Value of Cloud Computing;

Cloud Computing Architecture
Architectural Layers; Design Patterns;

Virtualization
Introduction to Virtualisation; Virtualisation Uses; Cloud Computing and Virtualisation;
Best Practices and Standards
Practices and Standards; Cloud Checklist; Cloud Contracts; Data Processing and Storage; Example Contract Clauses; Vendor Relationships; Standards Groups; The Distributed Management Task Force;

Cloud Computing Life Cycle
Computer Life Cycles; Cloud Life Cycle differences; Implementing a Cloud Computing Life Cycle; Life Cycle Issues; Lifecycles and Security; Cloud Service Lifecycle; Cloud Lifecycle Management; Adoption Lifecycle; Data Security Lifecycle; Systems Development Lifecycle; Virtualization Lifecycle; Application Lifecycle;

Developing a Cloud Strategy
Strategic Analysis; Questioning Your Strategy; Maturity Models; Cloud Maturity Model; 6 Levels of Maturity; External Analysis; PEST; Porter's Five Forces; Porter's Diamond; Internal Analysis; Growth Share Matrix; Strategic Re-Alignment; SWOT Analysis;

Setting Up & Marketing Your Own Consultancy
The Business Plan; Legalities; Setting Up; The Marketing Strategy; Knowing Your Competitors; Promotional Tools;

Presentation Skills
Preparation and Research; Speech Content; Subject Matter and Objectives; Speech Delivery and Variety; Body Language; Eye Contact; Presentation Aids; Management of locations and audiences; Presentation structure.

Entry requirements

Criteria for eligibility must be met in full prior to commencing the programme. For successful enrollment on the Postgraduate Diploma course, the minimum entry requirement is a prior Degree level qualification.

Application dates

Enrolment intake is strictly limited on this course. Early application is advised. Places are allocated on a first come first served basis.

Duration

You will have full access to online resources and subject expert support for two calendar years. However, you can complete the course in as little as 1 year, by dedicating 6-8 hours of study per week.

Fees

€1995. To secure your place on the course the full fee is required. All fees must be paid in full before the course begins. Please note, the full course fees are inclusive of all course materials and certification costs.

Enrolment dates

Enrolment Date: 13th October 2023.

For Future Dates, please contact Fitzwilliam Institute for next available start date.

More details
  • Qualification letters

    PgDip

  • Qualifications

    Postgraduate Diploma at UK Level 7

  • Attendance type

    Part time

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