​GR101EL​​​​ aims to help students manage their own success. It does this by: 

• ​Preparing students for what to expect from higher education (university or college) 
•  Encouraging students to think about the skills they already have acquired, and which they will need now as students and later in their professional life 
• Providing resources to help university students evaluate, reflect upon and manage their own learning 
• Making suggestions on how to develop positive approaches and good study habits 
• Helping students to understand more about how learning, intelligence and memory work, and how to develop critical and analytical thinking styles 
• Encouraging university students to understand that success is not only being clever and getting good marks; but it is also about using the skills they will always learn throughout life.​​​​
  

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• ​To understand the .NET framework architecture.
  
• To provide students with a range of skills to analyze a problem and construct a .NET program that solves it.
• To provide the principles of object oriented programming.
• To implement object-oriented concepts in .NET environment.
• To understand the Visual Studio Integrated Development Environment
• To develop .NET applications using the selected programming language.

​A. Knowledge and understanding

1. Explain .NET Platform.
2. Describe data types, variables, constants, operators and built-in functions in the selected .NET programming language.
3. Discuss decision-making and looping statements.
4. Explain object oriented concepts such as classes, objects and methods.
5. Describe the features of object oriented programming such as Inheritance and Polymorphism.
6. Explain the concept of arrays.
7. Identify errors and different types of exceptions in a .NET program.

​​This module aims to:

​

​

• ​​Introduce all aspects of object-oriented principles
  
• Identifying and implementing class relationships using abstract classes, interfaces and inheritance
• Provide knowledge in using simple UML class diagrams
•  Describe how these concepts are implemented in java
• Provide knowledge in how to explore the JAVA API and to develop your own
•  Provide the knowledge necessary to construct java programs
•  Describe a number of the advanced facilities of java including exceptions
• Show how java can be used in developing non-trivial programs
• Introduce good design and programming practice
  
  

​A. Knowledge and understanding

After studying the module, the student will be able to demonstrate:

1. An understanding of the object-oriented principles
2. Some knowledge of the main constructs and mechanisms in Java
3. An appreciation of the implications of object oriented software analysis and design
4. An understanding of the techniques used in developing a large Java program

B. Cognitive skills

After studying the module, the student will be able to:

1. Describe and apply key concepts and techniques in software design and development
2. Analyze and abstract away from the details of a problem
3. Design and formulate an appropriate solution to a problem and evaluate it​

C. Practical and professional skills

After studying the module, the student will be able to:

1. Assemble, program, develop, debug, test and evaluate software systems
   
2. Use software tools such as a Java IDE
3. Use good design and programming practice
4. Develop and implement class relationships​

D. Key transferable skills 

After studying the module, the student will be able to:

1. Find information from a range of sources to support a task
2. Plan complex tasks
3. Use new Java libraries
4. Use appropriate numerical, mathematical and abstraction skills
5. Progress to more advanced level studies​​
   
   

• ​​Provide the students with the required skills to possess the computational thinking. These skills start by proper understanding and analyzing the problems to be solved and end by providing computer programs that solve these problems.
  
• One of the important aspects of this module is to provide the students with the awareness of the limits of computation and the ability to decide which problems can and which cannot be solved efficiently with computers.​
  

​A. Knowledge and understanding

Upon completing this module, students will be able to:

1. Identify and define the sets, functions and logic, and their application in the design, implementation and analysis of computer-based systems.
2. Define and recognize Data structure and computational problematic.​

B. Cognitive skills

Upon completing this module, students will be able to:

1. Explain, construct and use algorithms and data structures to solve computational problems.
2. Describe and assess the difficulty of computational problems.
3. A​nalyse algorithms and computational problems making use of several informal proof techniques 

C. Practical and professional skills

Upon completing this module, students will be able to:

1. Use the Python programming language to implement algorithms.
2. Write a short report which is based on one or more sources and which has a well-argued conclusion.​

D. Key transferable skills 

Upon completing this module, students will be able to:

1. Apply appropriate computational problem-solving techniques to a range of problems;
2. Apply computational thinking skills to solve problems across a range of application areas.
3. Discuss the questions 'What is computation?' and 'What are its limits?', and explain how the answers to these questions have important implications for the practical use of computer-based systems.

• ​​To impart knowledge and understanding of fundamental concepts of physics likely to be needed by the students for later modules and future careers.
  
• To develop an appreciation of physics' tools and techniques for understanding the real world.
• To develop transferrable problem-solving skills that can be applied in other areas.​
  

A. Knowledge and understanding​​

Upon completing this module, students will be able to:

1. Explain the various important units of physics and the concept of dimensional analysis and the representation and manipulation of physical quantities
2. Outline the laws of classical mechanics
3. Contrast and differentiate among the different types of waves and summarize their properties
4. Explain electric forces and fields and summarize their properties
5. Illustrate and explain basic passive electric circuits
   
   

B. Cognitive skills

Upon completing this module, students will be able to:

1.  Identify concepts and quantities in physics precisely beyond what is used in everyday language.
2. Apply strategies for solving problems in physics in different situations.
3. Use vector algebra to the study of mechanics in two dimensions.
4. Analyze passive electric circuits.
5. Analyze wave propagation in different materials.​

C. Practical and professional skills

Upon completing this module, students will be able to:

1. Use and interpret different types of graphs to display the relationship between variables
2. Analyze the forces of static and dynamic bodies in simple mechanical systems
3. Calculate the velocity and acceleration of bodies in different types of plane motion
4. Determine basic parameters of waves propagating in different materials
5. Calculate voltages and currents in passive electric circuits​

D. Key transferable skills 

Use the learning Management System (LMS) effectively to improve own learning performance.

1. Demonstrate active participation and contribution to classroom discussions.
2. Improve own learning and performance through self-reflection.
   
3. Demonstrate effective communicate about technical matters.​
   

The module aims to: • Provide the knowledge of elementary functions to calculus concepts for students in all of the ITC programs. • Use mathematical techniques to find solutions to simple optimization problems. • Increase academic proficiency in expression of mathematical solutions. • Introduce definition of the derivative and make students acquainted with computing the derivative of polynomials, rational, radical, trigonometric, exponential, and logarithmic functions. • Make students acquainted with evaluating the integrals of polynomials, rational, radical, trigonometric, exponential, and logarithmic functions. • Introduces applications of integrals such as area, average value of a function. • Enable students to compute the partial derivatives of several variable functions.​

​

​​​The module aims to:

• Apply the knowledge of elementary functions to calculus concepts.
• To compute the derivative of polynomials, rational, radical, trigonometric, exponential, and logarithmic functions.
• Evaluate the integrals of polynomials, rational, radical, trigonometric, exponential, and logarithmic functions.
• Introduce the terms and concept of probability, and the idea of discrete and continuous random variables.
• Ensure the understanding of mathematical expectations and moment generating functions concepts.
• Equip students with some important discrete and continuous probability distributions in technology and communication modules.​
  
  

​A. Knowledge and understanding

Students will be able to:

1. Use derivative rule to find derivatives of power, exponential, logarithmic and trigonometric functions.
2. Solve simple definite and indefinite integrals.
3. Use applications of differentiation and integration in sketching graphs, obtain area between curves and average value of functions.
4. Define and identify random variables for any well- defined probability problems. 
5. Realize mathematical expectations and variances for different continuous and discrete distribution​

B. Cognitive skills

Students should be able to:

1. Produce descriptions and explanations of the different types of elementary functions and apply their understanding of the studied functions to information systems.
2. Display deep knowledge gained from the course and use it to solve optimization problems.
3. Utilize knowledge gained from the course to help them to understand new unfamiliar probability distributions.​

C. Practical and professional skills

Students will be able to:

1. Apply the practical skills gained from differential and integral calculus ITC problems.
2. Cultivate the capacity to be leaders in their professional and personal communities.
3. Develop some technical statistical materials; effectively present and objectively evaluate them.
4. Deal with statistical computer applications such as spread sheets and MATLAB statistics toolbox.​

​​​​The course aims to:

• Introduce basic notations used in  discrete Mathematics associated with information and communication technology
• Teach the rudiments of elementary mathematical reasoning.
• Prepare students for the theoretical parts of further courses in information technology.
• Explain logic from a mathematical perspective and relating it to computer applications.
• Introduce set theory, relations, functions, graphs, equivalence relations, and partial orderings.
• Provide concepts of permutation, combination and any other counting techniques.​
  
  

​A. Knowledge and understanding

Students will be able to:

1. Identify propositional logic, logical equivalence, predicates and quantifiers.
2. Describe the Integers and division functions, prime number and prime factorization, least common multiple and highest common factors.
3. Define sets, functions and binary relations, their properties and representations. Know the major types of binary relations on a set, equivalence relations and partial orderings.
4. Use matrices to represent relations, graphs and trees.
5. Recognize basic properties of counting techniques using permutation and combination properties. ​

B. Cognitive skills

Students will be able to:

1. Deal with mathematical and logical arguments and carry out mathematical and logical manipulations.
2. Acquire a good understanding of the concepts and methods of discrete mathematics described in detail in the syllabus.
3. Be familiar with mathematical notations related to computer science.​

C. Practical and professional skills

Students will be able to:

1. Prove any simple mathematical theory using logic laws
2. Use any or all of the previous tools in a significant information and communication technology application such as cryptography.
3. Apply combinatorial principles and discrete mathematical structures that are central to mathematics and information technology.​

D. Key transferable skills

Students will be able to:

1. Demonstrate study skills at a level appropriate to higher education, such as timetabling study; read critically for meaning and take effective notes; and use study aids such as dictionaries and glossaries;
2. Present  and communicate basic mathematical and logical arguments; communicate appropriately with their tutor and other students using email and online conferences;
3. Locate information on a given subject from the World Wide Web​
   
   

​The course aims to:

• Extend the students' basic mathematical awareness and skills in matrices and matrix operations.
• Give the study skills necessary for students to be able to solve system of linear equations.
• Provide a range of useful ideas such as linear combinations and linear independence.
• Present some important mathematical terms such as span, basis and dimensions.
• Upgrade the concept of linear transformation necessary for other compulsory technology and communication modules.
• Give a feeling for the mathematical approach to the study of computer science. 
  
  

​A. Knowledge and understanding

Student will be able to:

1. Define and classify type of matrices and perform matrix operations.
2. Solve problems in information systems and communication using matrix techniques.
3. Use and apply linear algebra knowledge and concepts to information technologies and computing.
4. Be familiar with different terminologies in linear algebra and matrix transformation.
5. Acquire technical material, effectively present it and objectively evaluate other technical materials in linear algebra.​

B. Cognitive skills

Students should be able to demonstrate that they can:

1. Produce descriptions and explanations of the different types of matrices and linear operations.
2. Apply their understanding of the studied ideas in linear algebra to coding problems, encryption and decryption.
3. Use knowledge gained from the module to help them to understand new unfamiliar matrix operations. ​

C. Practical and professional skills

Students should be able to:

1. Communicate effectively in English and Arabic in a variety of contexts and media.
2. Analyze a mass of information and carry out an appropriate analysis of the problem material.
3. Express a problem in mathematical terms and carry out an appropriate analysis.
4. Reason critically and interpret information in a manner that can be communicated effectively.
5. I​ntegrate and link information across course components.

D. Key transferable skills 

Students should be able to demonstrate that they can:

1. Communicate complex information, arguments and ideas effectively and without plagiarism on a range of topics relating to linear operations.
2. Perform calculations to find inverse of a matrix, use and manipulate simple algebraic calculations to solve linear system of equations.
3. Use technology to find a span and a basis for a vector space.
4. Enhance existing numerical ability.
5. Work effectively as part of a group in solving any complicated mathematical problems.​​
   

​​The aims of this module are to:

• Introduce students to the important field of Image Processing.
• Teach students the fundamental concepts related to image Representations and Enhancements.
• Impart to the students knowledge about Intensity Transformations and Spatial Domain Filtering.
• Introduce students to the concepts of 2-D Fourier Transform and the basics of Frequency Domain Filtering.
• Introduce students to the topics of Image Segmentation, Image Coding and their related techniques.
• Enable students to implement basic image processing algorithms using the Matlab Programming environment.
  

A. Knowledge and understanding

On successful completion of this course, the student will be able to demonstrate knowledge and understanding of:

1. Basic image representation concepts.
2. Spatial domain image processing techniques of intensity transformation and filtering.
3. Frequency domain image processing techniques of filtering and masking.
4. Data reduction and image coding methods.
5. Basic image segmentation concepts and techniques.
   

B. Cognitive skills

On successful completion of this course, the student will be able to:

1. Critically evaluate and suggest spatial domain processing techniques for image enhancement purposes.
2. Analyse and suggest appropriate frequency domain filtering techniques suitable for image processing tasks.
3. Critically interpret histogram data of images and suggest appropriate image processing techniques for image enhancement.
4. Analyze various image coding techniques and select the appropriate one for a particular task.
5. Evaluate and interpret image segmentation results.

C. Practical and professional skills

On successful completion of this course, the student will be able to:

1. Apply skills and concepts from the course to develop practical image processing projects.
2. Develop, Interpret and Implement image enhancement techniques both in the spatial and frequency domains.
3. Perform Matlab simulations of practical image processing algorithms including image enhancement, coding and segmentation.​

D. Key transferable skills 

On successful completion of this course, the student will be able to:

1. Apply the mathematical and algorithmic skills acquired in this course to other areas of study and work.
2. Carry out independent learning on topics related to image processing and computing.
3. Communicate ideas and concepts about image processing techniques effectively both in writing as well as in any group discussion or environment.​
   
   

The aims and objectives of this module are to:

• Describe and discuss a range of topics in cyber security management.
• Describe cyber security governance and the implementation of an integrated security mechanism.
• Identify cyber security threats and explain risk analysis and management.
• Allow students to perform independent research in the area and to critically read and analyse third party material.
  
  

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​​A. Knowledge and understanding

After studying the module you will be able to:

1. Describe cyber security fundamentals
2. Explain cyber security management and its importance to organizations
3. Evaluate the principles of cyber security governance to sustain and improve the security posture of an organisation
4.  Interpret the importance of risk analysis and management in protecting an organization from cyber threats
5.  Evaluate cyber security management policies, standards, and processes
6. Define the most common cyber security threats and analyse appropriate countermeasures
7. Describe and discuss the application of an integrated security mechanism​

B. Cognitive skills

1. Recognise and define the main issues and challenges related to protecting and safeguarding organisations from cyber security risks
2. Read, evaluate, and critically review technical documents and extract useful information from these documents on topics related to cyber security, risk management, threat detection and countermeasures
   

• ​To introduce students to modern topics in ICTs.
• To develop student's skills in managing technologies of data storage and computer networks.
• To develop students skills in the technologies of mobile communication systems with an emphasis on mobile telephony.​
  
  

​A. Knowledge and understanding

Upon completing this module, students should be able to:

1. Describe key principles and concepts of digital communication and information systems and their component devices, including such topics as LANs, WLANs, mobile communication networks, encoding, modulation, multiplexing, routing, and standards.
2. Explain key principles and concepts relating to digital data including the storage, manipulation and transmission of digital data.
3. Identify major trends in communication and information technologies.
4. Enhance their scientific reading and writing skills for writing short reports.
   

B. Cognitive skills

Upon completing this module, students should be able to:

1. Produce descriptions and explanations of the communication and information systems that feature in the module and of their underlying technologies and component devices
2. Apply their understanding of the communication and information systems that feature in the module, their underlying technologies and component devices in specified contexts, updating themselves about the systems, technologies and devices as necessary.
3. Use knowledge gained from the module to help them to figure out new or unfamiliar communication and information systems in specified situations; describe and explain such systems and their technologies and devices; apply their understanding in specified contexts.
4. Analyze and discuss some of the technological, social, legal, ethical and personal issues that relate to communication and information systems, technologies and devices.
5. Realize an overview of the way in which mobile telephone systems have developed from its first generation till LTE stage.​
   

Upon completing this module, students should be able to:

1. Critique draft materials in order to improve them
2. Use standard office and communication software effectively to support their work

D. Key transferable skills 

Upon completing this module, students should be able to:

1. Communicate complex information, arguments and ideas effectively and without plagiarism on a range of topics relating to communication and information systems through a variety of different media, using styles, language and images appropriate to purpose, audience and medium
2. Perform simple calculations relating to communication and information systems, use and manipulate simple algebraic equations and interpret and produce graphical and tabular data
3. Use information technology to find information from various sources and evaluate that information
4. Develop a range of skills as an independent learner to support them in learning through the module materials and through other resources that they seek out for themselves.​
   

• Increase the knowledge of the basic principles of communication and information systems and technologies, and the issues relating to their use
• Develop the ability to apply the understanding of communication and information technologies to learn about new or unfamiliar systems and technologies
• Enable students to explore how personal and private data can be protected.
• Help students develop an understanding of audio and video encoding and editing.
• Develop a variety of skills appropriate to a practitioner in communication and information technologies.​

​A. Knowledge and understanding

Upon completing this module, students should be able to:

1. Describe key principles and concepts relating to digital data including the availability of, mechanisms for protecting digital personal data, and the associated privacy and security issues related to it.
2. Explain major trends of the fastest expanding areas of ICT, that of audio and video production and its potential for entertaining us.
3. Understand key concepts, issues and technologies associated with online communication.
4. Enhance the scientific reading and writing skills for writing long reports.
   

B. Cognitive skills

Upon completing this module, students should be able to:

1. Produce descriptions and explanations of the fundamental building block of all modern security systems which is encryption.
2. Apply their understanding of the themes of security framework for communication and information systems that feature in the module, their underlying technologies and component devices for applying biometrics as a measurement of human beings used to identify them in the context of authentication.
3. Use knowledge gained from the module to help them to figure out new or unfamiliar topics; conveying information in audio and visual format, introduction for some tools that will assist in obtaining a simple digital video from a number of digital still images.
4. Describe and discuss some of the technological, social, legal, ethical and personal issues that relate to securing personal data like preventing unauthorized people from having access to private information.
5. Evaluate or compare communication and information systems suggested for a particular need and give a justified recommendation on their appropriateness​

C. Practical and professional skills

1. Upon completing this module, students should be able to:
2. Critique draft materials in order to improve them
3. Experiment with some fingerprint recognition tools and evaluate the system using the given data set.
4. Use specialised software tools as AviSynth script language to provide the students with basic skills required to produce video from still images.​
   

​

​​A. Knowledge and understanding

After studying the course you will be able to:

1. Describe the operation of encryption techniques: symmetric and asymmetric ciphers, block and stream ciphers
   
2.  Define and explain the differences between different encryption algorithms and standards
   
3. Analyse and compare the performance of different encryption methods
   
4. Design and implement encryption algorithms
5. Describe the protocols for physical, network, and transport level security
6. Define the most common threats to network and internet security, explain their operation, and discuss their differences
7.  Describe the protocols and countermeasures used for protecting network and internet traffic​

B. Cognitive skills

After studying the course you will be able to:

1. Recognise the threats to network security and assess their inherent risks 
2. Read, evaluate, and critically review technical documents and extract useful information from these documents on topics related to network security and cryptography algorithms
   

C. Practical and professional skills

After studying the course you will be able to:

1. Use the studied concepts to implement, analyse, and assess different encryption algorithms and techniques
   
2. Identify the threats to network security and take appropriate countermeasures 
   

D. Key transferable skills 

After studying the course you will be able to:

1. Become an independent self-learner in order to tackle more advanced topics and remain up-to-date in the field of network security
   
2. Improve your technical writing skills on topics related to cryptography and network security
   ​​
   
   

​To emphasize on the concept of computer organization.

To emphasize on the concept computer architecture.

To comprehend the different core concepts behind the hardware layer of a computer system.

To recognize the mathematical concepts of the low level computer structure (circuits and gates).

To know the processor's instruction sets architecture and implementation.

To recognize the memory organization concept and methods

​A. Knowledge and understanding

The module provides student with an understanding of:

1. Historical developments of computers.
2. The Von-Neumann Model.
3. Data representation and arithmetic in Computer Systems.
4. Boolean Algebra and Digital Logic.
5. Assembly language of an intuitive architecture (MARIE).
6. Memory organization and addressing modes.
7. Cache memory mapping Schemes.

B. Cognitive skills

To be able to

1. Identify the different parts of any computer system and understand their roles.
2. Understand the instruction set of any modern computer system.
3. ​Evaluate the performance of modern computer systems.

C. Practical and professional skills

To be able to

1. Have an awareness of the process of designing, writing and testing  MARIE assembly programs.
2. Use low level programming skills appropriate to a task.
3. Ability to use the MARIE and data path simulator software.

D. Key transferable skills 

To be able to

1. Interact effectively within a group using electronic conferencing techniques.
2. Contribute to discussions on a conference.
3. Improve own learning and performance.
4. Communicate effectively about testing strategies, design and low level codes.
5. Use electronic media (the web and electronic conferencing) for information retrieval and communication.​

​The module aims to:

• Introduce the technique of solving simple problems using pseudocode.
• Introduce Java programming via writing, compiling and executing simple programs.
• Present how to store and deal with data including variables, constants, and expressions.
• Cover deeply the concepts of program control structure and illustrate each concept with a diagrammatic notation using UML.
• Present how these concepts are implemented in Java.
• Introduce the concept of modularization and how to write Java methods.
• Present how to deal with basic data structures like strings, arrays and two dimensional arrays.
  
  

​A. Knowledge and understanding

After studying the module, the student will be able to:

1. Understanding of the design and programming processes
2. Knowledge of the main constructs and mechanisms in programming using Java language.
3. Understanding of the techniques used in developing a medium Java application.
4. Understanding of the basic data structures like strings, arrays and two dimensional arrays.

B. Cognitive skills

After studying the module, the student should be able to:

1. Describe and apply key concepts and techniques in software design and development.
2. Analyse and abstract away from the details of a problem.
3. Design and formulate an appropriate solution to a problem and evaluate it.
4. Deal professionally with the basic data structures.

C. Practical and professional skills

After studying the module, the student should be able to:

1. Create, develop and trace Java programs.
2. Use software tools such as a Java IDE and an On-line Java compiler.
3. Use appropriate programming skills.
4. Traverse data in the basic data structures in a professional way. 

D. Key transferable skills 

After studying the module, the student should be able to:

1. Find information from a range of sources to support a task.
2. Plan medium tasks.
3. Use Java libraries.
4. Use appropriate numerical, mathematical and abstraction skills. 
   

• Help students to develop their understanding about the significant role of computers in our lives.
• Explore some processes by which sound and images in the real world are captured and stored and may be shared with peers and the wider world through social networking sites.
• Introduce students to algorithmic thinking and problem-solving skills using examples from everyday life.
• Enhance student's knowledge about implementing solutions to simple problems in a visual programming.
• Introduce students to the key concepts and technologies underpinning the communication networks.
• Prepare the student for further academic study by helping him develop his study skills.
  

​A. Knowledge and understanding

1. Understand the fundamental principles, concepts and techniques underlying Computing and IT.
2. Explore various situations in which Computing and IT systems are used, the ways in which people interact with them, and the possibilities and limitations of such systems
3. Be aware of the ethical, social and legal issues that can be associated with the development and deployment of Computing & IT systems.
4. Demonstrate an understanding of algorithmic thinking and problem-solving skills using examples from everyday life.
5. Understand the general principles, roles of various components, and the challenges involved in sending data across communication networks.
6. Know how to find, rank and reference information; how to build your information literacy skills and how to interpret data in different forms.​

B. Cognitive skills

1. Evaluate key computing and IT concepts in a range of contexts.
2. Apply appropriate techniques and tools for abstracting, modelling, problem solving, designing and testing computing and IT systems.
3. Compare, contrast, critically analyze and refine specifications and implementations of software systems and/or simple hardware systems.
4. Identify situations in which different network technologies may be used.
   

C. Practical and professional skills

1. Communicate information, arguments, ideas and issues clearly and in appropriate ways, bearing in mind the audience for and the purpose of your communication.
2. Use appropriate numerical and mathematical skills to carry out calculations and analyze data.
3. Work independently, planning, monitoring, reflecting on and improving your own learning
4. Demonstrate study skills at a level appropriate to higher education, such as study planning, learning from feedback and reading actively 
   

D Key transferable skills 

1. Evaluate computing and IT systems, using appropriate simulation and modelling tools where appropriate
2. Use a range of resources to help you develop as an independent learner.
3. Use information literacy skills, computers and software packages appropriate to the workplace.
4. Communicate appropriately with your tutor and other students using email, online conferences and forums.​​
   

• ​Help students to practice the use of computing and information technologies to solve problems.
• Explore a variety of information technologies, from basic computer architecture, cloud computing, mobile/wireless and location-based computing Introduces the students to algorithmic thinking and problem-solving skills using examples from everyday life.
• Enhance student's knowledge about implementing solutions to simple problems in a visual programming.
• Focus on how to examine computing and information technology problems and solutions in their real-world context, with a focus on information security
• ​Develop numeracy skills (including algebra) in the context of information technologies and programming activities
• Prepare the student for further academic study by helping him develop his study skills
  
  

​A. Knowledge and understanding

1. Understand the fundamental principles, concepts and techniques underlying Computing and IT.
2. Identify  a range of models to support the analysis and design of Computing and IT systems
3. Know how to implement solutions to simple problems using Python programming language.
4. Be aware of the of the range of situations in which Computing and IT systems are used, the ways in which people interact with them, and the possibilities and limitations of such systems
5. Understand  the ethical, social and legal issues that can be associated with the development and deployment of Computing & IT systems
6. Describe major trends in Computing and IT and of the implications of these trends ​

B. Cognitive skills

1. Evaluate key computing and IT concepts in a range of contexts.
2. Apply appropriate techniques and tools for abstracting, modelling, problem solving, designing and testing computing and IT systems.
3. Compare, contrast, critically analyze and refine specifications and implementations of software systems and/or simple hardware systems.
4. Carry out a project in computing and IT that applies and extends student's knowledge and understanding, and critically reflect on the processes involved and the outcomes of student's work.
   

C. Practical and professional skills

1. Communicate information, arguments, ideas and issues clearly and in appropriate ways, bearing in mind the audience for and the purpose of your communication.
2. Use appropriate numerical and mathematical skills to carry out calculations and analyze data.
3. Work independently, planning, monitoring, reflecting on and improving your own learning
4. Demonstrate study skills at a level appropriate to higher education, such as study planning, learning from feedback and reading actively 
   

D. Key transferable skills 

1. Evaluate computing and IT systems, using appropriate simulation and modelling tools where appropriate
2. Use a range of resources to help you develop as an independent learner.
3. Use information literacy skills, computers and software packages appropriate to the workplace.
4. Communicate appropriately with your tutor and other students using email, online conferences and forums.
   
   

This module aims to: • Provides students with an opportunity to sample some key areas in computing and IT –robotics, networking and operating systems. • Develop essential skills for employment in the computing and IT industry. • Recognize the professional and ethical issues associated with the deployment of digital systems. • Gather, evaluate and use different types of information. • Facilitate the management of students’ self-learning development in term of time management and self-organization skills.​​

​​Module basic aims: • Increase students’ knowledge of the basic principles of communication and information systems and technologies, and the issues relating to their use • Develop students’ ability to apply their understanding of communication and information technologies to learn about new or unfamiliar systems and technologies • develop a variety of skills appropriate to a practitioner in information and communication technologies • teach student work as a group, where the collaboration is via communication technologies.​​

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​A. Knowledge and understanding

At the end of the module, learners will have knowledge and understanding of: 

A1.Understand the key principles and concepts of digital communication and information systems and be aware of their major trends and developments. 

A2.Have a clear understanding of the key principles of interaction design, its processes and the importance of user centred design.

 A3.Understand the key concepts, issues and technologies associated with online communication and collaboration. 

A4.Be able to demonstrate your understanding of the key principles and methods of securing digital data an

B. Cognitive skills

At the end of the module learners will have developed the following cognitive skills: 

B1.Apply your understanding of the communication and information systems that feature in the module in specified contexts and updating yourself about these systems and technologies as necessary.

B2.Use knowledge gained from the module to help you to describe and explain the technologies of communication and information systems and to understand new or unfamiliar communication and information systems in specified situations 

B3.Evaluate or compare communication and information systems suggested for a particular need and give a justified recommendation on their appropriateness. 

B4.Select, adapt and apply suitable interaction design approaches and techniques towards the design of an interactive product.

C. Practical and professional skills

At the end of the module, learners will be able to:

C1.Critique draft materials in order to improve them 

C2.Use standard office and specialised software effectively to support your work, both as an individual and in collaboration with others in a distance setting. 

C3.Describe and discuss some of the technological, social, legal, ethical and personal issues that relate to communication and information systems and technologies

D Key transferable skills

At the end of the module, learners will be able to:

D1.Communicate complex information, arguments and ideas effectively on a range of topics relating to communication and information systems through a variety of different media, using styles, language and images appropriate to purpose and audience. 

D2.Use numerical skills to perform basic calculations relating to communication and information systems and analyse data. 

D3.Work effectively as part of a group in a distance setting where collaboration is undertaken via computer-mediated communication.

​ D4.Communicate effectively about requirements, design, and evaluation activities relating to interactive products. 

​​The aim of this module is to introduce and extend certain concepts of each high-level domain such as Systems security, infrastructure, software and platform security, that is not covered in the other modules of the qualification. Specifically, students completing this module will be able to: - Demonstrate competence in skills relevant to systems security.  - Understand and apply corresponding legal, social, ethical and professional principles.   - Implement a variety of systems security solutions. - Become proficient in some areas of systems security. ​

​

​​​The module aims to:  increase students awareness of the ethical, professional and legal issues of IT and computing and the responsible use of ITC.

Upon the successful completion of this module students will be able to:

1. Consider the ethical issues related to ITC systems.
2. Act ethically while making any profession related decisions.
3. Apply all legal principles to intellectual property and ITC related situation.
4. understand the emerging issues related to ethics in cyberspace
5. Develop a sound methodology in resolving ethical conflicts and crisis.
6. Understand the social and ethical issues in the professional practice of computing and technology and their impact on the society..
7. Look up relevant ethical standards as developed by the ACM.
8. State several examples of important ethical principles as they apply to computer science related situations.
9. Identify the ethical issues that relate to computer science in real situations they may encounter and decide whether a given action is ethical as regards computer science professional ethics, and justify that decision.
10. Research and write a professional-quality paper about a topic relating to social, legal, and ethical implications of computer science.​
    
    

​A. Knowledge and understanding

After completing this module, students will be able to:

1. Understand how ITC could raise social issues and ethical dilemmas
2. Understand the historical background of some social, legal, philosophical, political, constitutional and economical issues related to ITC
3.  Describe current social and legal developments related to computers and computer crime
4. Recognize the existence of computer abuse cases , laws pertaining to them
5. Appreciate the value of technology and identify the ethical and moral situations that must be faced and dealt with.
6. Deepen their understanding of technology and its effects on society.​

B. Cognitive skills

After completing this module, students will be able to:

1. Evaluate the legal and professional impact of ITC in real life contexts
2. Analyse the effect of ethical issues on IT industry and society​

C. Practical and professional skills

After completing this module, students will be able to:

1. Effectively identify and analyze professional and legal issues;
2. Promote an ethics of computing in practice;
3. Resolve dilemmas related to ethical, professional and legal ITC issues​

D. Key transferable skills 

After completing this module, students will be able to:

1. Communicate effectively in writing about ethical, legal and professional issues in the ITC context
2. ​Become an independent learner.
   
   

​​This module aims to provide an introduction to the basic principles, techniques, and applications of Artificial Intelligence. Coverage includes symbolic AI, game playing, planning, optimization and neural networks basics.    

Students will refine their programming skills developed during (TM110) using AI libraries as well as experiencing programming in AI language tools. Potential areas of further exploration include robotics, natural language processing, and computer vision.

​

This module aims to provide students with an in-depth introduction to two main- areas of Machine Learning: supervised and unsupervised. That covers the basics of ML and the deep learning approaches. The module aims to learn the concepts behind several machine learning algorithms without going deeply into the mathematics and gain practical experience applying them. It will cover main models and algorithms for regression, classification, clustering and probabilistic classification. Topics such as linear and logistic regression, regularization, probabilistic (Bayesian) inference, SVMs and neural networks, clustering, and dimensionality reduction. The module will assume general familiarity with linear algebra, probability theory, statistics, and programming in Python.​

On successful completion of this course students will be able to:

• Provides students with an opportunity to sample some key areas in parallel and distributed computing.
• Develop critical skills for deployment in the field of computing and IT industry.
• Recognize the professional and ethical issues associated with the deployment of different parallel and distributed methodologies in digital systems.
• Use the application of fundamental Computer Science methods and algorithms in the development of parallel applications.

Facilitate the management of students' self-learning development in term of time management and self-organization skills.

​

​The module covers the importance of developing software in an iterative process by means of established methods. After completing this course, a learner will be able to

• Apply core software engineering practices at conceptual level for a given problem.
• Compare and contrast traditional, agile, and lean development methodologies at high level.  These include Waterfall, Rational Unified Process, V model, Incremental, Spiral models and overview of agile mind-set.

Propose a methodology best suited for a given situation.

​

​

​
• Describe what IoT is and how it works today.
• Recognise the factors that contributed to the emergence of IoT.
• Familiarize students with practical use of hardware, software, communication and computing systems to create components of measurement networks for the IoT.
• Students design and implement a complete IoT measurement network connected to the computing cloud

​

​

​

A. Knowledge and understanding

Upon completing this module, students will be able to:

1. Describe the operation of symmetric ciphers
   
2. Define and explain the differences between different encryption algorithms and standards
3. Describe the operation of asymmetric ciphers
4. Analyse and compare the performance of different encryption methods
5. Design and implement simple encryption algorithms
6. Define the most common threats to internet security, explain their operation, and discuss their differences
7.  Describe the protocols and countermeasures used for protecting internet traffic​

B. Cognitive skills

Upon completing this module, students will be able to:

1. Recognise the threats to online security​
2. Read, evaluate, and critically review technical documents and extract useful information from these documents on topics related to cryptography and internet security

C. Practical and professional skills

Upon completing this module, students will be able to:

1.  Use the studied concepts to analyse and assess the efficiency of different encryption standards
2. Identify the threats to internet security and take appropriate countermeasures ​

D. Key transferable skills 

Upon completing this module, students will be able to:

1. Demonstrate independent self-learning capabilities in order to tackle more advanced topics and remain up-to-date in the field of cryptography and internet security
2. Employ your technical writing skills on topics related to cryptography and internet security​
   
   

​

A. Knowledge and understanding

Upon completing this module, students should be able to:

1. Define information, strategy and customer-facing (user-centred) design theories.
2. Compare the impact of different types of information technologies and systems in the enterprise and competitive environment.
3. Select information systems as a basis for sustainable competitive advantage.
4. Identify the issues that must be addressed in managing information systems projects and processes across various boundaries (organisational, cultural, legal and geographical).
5. Describe the life cycle methodologies and methods involved in developing and managing information systems in a global competitive environment.
   

B. Cognitive skills

Upon completing this module, students should be able to:

1. Demonstrate a conceptual grasp of information, strategy and user-centred (customer-facing) design theories.
2. Distinguish between different types of information systems and recognise enterprise-wide, innovative methods of reducing costs and improving service through management information systems.
3. Compare and contrast the implications on the efficiency and effectiveness of different IT competitive strategies and their sustainability in the long term.​

C. Practical and professional skills

Upon completing this module, students should be able to:

1. Reflect, analyse and interpret information on contemporary information systems management issues.
2. Debate controversial issues relating to information systems deployment in organisations​

D. Key transferable skills 

Upon completing this module, students should be able to:

1. Develop skills to effectively participate in a group.
2. Synthesise data and use application of concepts from other modules.
3. Improve case analysis skills.​​
   
   

​​The aims of this module are to illustrate methods for handling and compressing different kinds of data, such as text, images, audio and video data and show data compression techniques for multimedia and other applications, especially the once used in the Internet.

After finishing successfully this Module you should be able to:

1. Compute basic statistics of data.
2. Apply nontrivial algorithms to real-world problems.
3. Outline the principles of data compression.
4. Discover different compression methods for text, image, audio, and video data.
5. Extend different compression methods and their applications in different aspects of computing.
   
   

​A. Knowledge and understanding

Upon completing this module, students will be able to:

1. Develop a well-founded knowledge in the field of study.
2. Relate other disciplines to the field of study.
3. Develop an international perspective on the field of study.​​

B. Cognitive skills

Upon completing this module, students will be able to: 

1. Analyse and explore information and ideas and to convey those ideas clearly and fluently, in both written and spoken forms.     
2. ​Experiment effectively with others in order to work towards a common outcome.       
3. Select and make use of appropriate level, style and means of communication.           
4. Experiment appropriately with information and communication technologies.

C. Practical and professional skills

Upon completing this module, students will be able to:

1. Apply different compression methods for text, image, audio, and video data
2. Examine nontrivial algorithms to real-world problems
3. Extend different compression methods and their applications in different aspects of computing.​

D. Key transferable skills 

Upon completing this module, students will be able to:

1. Analyse and conclude independently.    
2. Develop ideas and adapt innovatively to changing environments.
3.  Identify problems constructs solutions, innovate and improve current practices​
   
   

​​The aim of this module is to enable the student to: • Ensure that security technologies and practices are operating in accordance with the organisation’s policies and standards to provide continued protection. • Understand network infrastructure, software and data to identify where threat and hazard can occur. • Perform periodic vulnerability assessments to evaluate the organisation’s ongoing security posture and will provide visibility to management of the main risks and control status on an ongoing basis. • Respond to security incidents and implement resolution activities across the organisation.​

​A. Knowledge and understanding

The aims of this module are to:

• gain an in-depth understanding of the computational properties of natural languages and the commonly used algorithms for processing linguistic information.
• study computing systems that can process, understand, or communicate in human language.
• Focus on understanding various NLP tasks, algorithms for effectively problems, and methods for evaluating their performance.
• NLP topics including regular expressions, text processing, language parsing, text classification, language modelling and sequence tagging, vector space models of semantics.

Understand distributed word representations, Relation extraction with distant supervision, natural language inference, supervised sentiment analysis semantic parsing.

​

​The aim of this module is to provide students with understanding of the theories and techniques used in computer vision. Topics include fundamentals of computer vision based on image processing techniques as well as machine-learning based computer vision used by new-school vision.​​

​​This module aims to address some of the key concepts required for the traditionally important area of data management, and the increasingly important area of data analytics. The module will compare traditional relational databases with an alternate model (a NoSQL database), and will enable students to choose between the alternatives to select an appropriate means of storing and managing data, depending on the size and structure of a particular dataset and the use to which that data will be put. Students will be introduced to preliminary techniques in data analysis, starting from the position that data is used to answer a question, and introduced to a range of data visualisation and visual analysis techniques that will instil an understanding of how to start exploring a new data set.

To ensure that students are comfortable with handling datasets, they will explore a range of openly licensed real-world datasets (either downloaded from their host websites, or provided as snapshots) to illustrate the key concepts in the course. Sources such as data.gov.uk, the World Bank, and a range of other national and international agencies will be used to provide appropriate data.  The module will aim to divide approximately equally between issues in data management (technical and socio-legal issues in storing and maintaining datasets), and issues in data analytics (using data to answer questions). Students are not expected to have a background in statistics, but should be comfortable working with mathematical concepts and will need to be competent programmers.

The module will be framed around a narrative that looks at how to manage and extract value and insight from a range of increasingly large data collections. At each stage, a comparison will be drawn between different ways of representing the data (for example, using different sorts of charts or geographical mapping techniques), and limitations of the mechanisms presented. To enable students to get a feel for the use of data, each stage will also include an overview of some data analysis techniques, including summary reporting and exploratory data visualisation. The module will be driven by Richard Hamming's famous quote: The purpose of computing is insight, not numbers.

Some of the key ideas are:

• Introducing data analysis. Starting with a text based data file such as comma separated variable (CSV) document, this unit will provide a brief introduction to some basic operations on simple data files. This will give an opportunity to provide an outline of the key ideas in the module, to ensure that the students have installed the module software correctly, and to begin to familiarise themselves with that software.
• Concepts in data management. The module will look at three key areas in data management: data architectures and data access (CRUD), data integrity, and transaction management (ACID). Each of these will be illustrated using a relational database, and one non-relational alternative, and the advantages and limitations of each model discussed.
• Legal and ethical issues. The module will consider the legal and ethical issues involved in managing data collections. Students will be required to obtain and read (parts of) the Data Protection Act and the Freedom of Information Act, and demonstrate how these apply to issues in data management. They will also consider privacy, ownership, intellectual property and licensing issues in data collection, management, retrieval and reuse.

Concepts in data analytics. These sections will focus on using data to answer a real question; the focus will be on exploratory techniques (such as visualisation) and formulating a question into a form which can realistically be answered using the data that is available. Issues in processing techniques for large and real-time streamed data collections will also be addressed along with techniques and technologies (such as mapreduce) for handling them. This part will use a statistical package such as the python scientific libraries and/or ggplot to visualise the data and carry out appropriate analyses. It is not anticipated that students will need to understand statistical methods in depth.​

​A. Knowledge and understanding

Upon completing this course, students will be able to:

1. Discuss and describe the similarities and differences between at least two different database models, and how they are used to manage data collections.
2. Identify and explain the legal issues surrounding data collection, usage and retention.
3. Explain the stages and process of database design​

B. Cognitive skills

Upon completing this course, students will be able to:

1. Select an appropriate database model for a data collection.
2. Use data to answer a practical question.
3. Analyse a simple scenario to produce a conceptual model.​

C. Practical and professional skills

Upon completing this course, students will be able to:

1. Use a query language to extract information from a database.
2. Use a statistical package to explore a data set
3. Present an analysis of a dataset to a variety of audiences.​

D. Key transferable skills 

Upon completing this course, students will be able to:

1. Write a report detailing a systematic approach to analysing a data set.
2. Gain Active listening to the stakeholders regarding their data analysis needs

Communicate the results of data analysis to stakeholders at appropriate level

• ​​To understand the business domain for a problem requiring a software solution or a change to an existing solution
  
• To acquire the tools and knowledge to analyse and design such a solution or change
• To understand how any chosen software architecture will impact on the satisfaction of all users requirements and expectations
• To apply and reuse design expertise from a set of design patterns
• To develop the skills for testing outputs of all activities throughout the development process.​
  

​A. Knowledge and understanding

Upon completing this module, students will be able to:

1. Understand concepts of software development and maintenance, specialising in such topics as Web and Internet design and programming, advanced database techniques or human computer interaction
2. Acquire the methods and tools used to develop a range of software systems
3. Identify a range of situations in which computer systems are used, the ways in which people interact with them, and the ethical, social and legal problems that computer software can create.
   

B. Cognitive skills

Upon completing this module, students will be able to:

1. Explain advanced software development concepts and apply them to practical problems, including in an extended piece of work
2. Analyse problems, and design and evaluate realistic solutions to them
3. Compare and contrast a variety of computing methods and tools, identifying the best choices to apply to specific problems
4. Explain the various roles, functions and interactions of members of a software development team.
   

C. Practical and professional skills

Upon completing this module, students will be able to:

1. Work independently, planning, monitoring, reflecting on and improving your own learning and working practices
2. Work in a group, communicating computing ideas effectively in speech and in writing
3. Find, assess and apply information from a variety of sources, using information technology where necessary, in a number of assignments, including at least one significant piece of work
4. Use numerical and analytical techniques confidently to solve complex problems.

D. Key transferable skills 

Upon completing this module, students will be able to:

1. Design, program, test and evaluate software systems
2.  Use modern software tools, both within and outside your workplace
3. Identify and handle the ethical, social and legal issues that may arise during software development and use.​​
   
   

​​TM355 is framed fairly precisely by its areas of interest: layers 1 and 2 of the OSI seven-layer model, that is the Physical Layer (layer 1) and the Data Link Layer (layer 2); and the three access technologies of optical fibre, DSL broadband and wireless.

Within this framing, TM355 is concerned to reveal and explore commonalities that cut across these technologies, such as Shannon's law, multiple access (which increasingly means orthogonal frequency division multiple access, or OFDMA), modulation techniques (in the digital world, almost synonymous with quadrature amplitude modulation, or QAM), error detection and correction, and coding. A thorough understanding of the principles of these common technologies will equip students to understand a range of communication technologies, and to understand their potential and limitations

​A. Knowledge and understanding

Upon completing this course, students will be able to:

1. Have a sound grasp of the essential vocabulary of communications technology, be able to deploy it appropriately, and be able to explain them
2. Understand the main principles and constraints of digital communications technology at the physical and data link layers, and employ them to analyse and assess communication scenarios.
3. Understand the essential limits and trade-offs that are inherent in practical communication systems​

B. Cognitive skills

Upon completing this course, students will be able to:

1. Use relevant data related to a communication system to model its behaviour and assess performance and resource requirements.
2. Explain how and why particular communications configurations and systems are used, discuss their potential and limitations.
   

C. Practical and professional skills

Upon completing this course, students will be able to:

1. Write a short report or essay discussing applications of communications technology.
2. Be able to use third-party material critically.
3. Be able to incorporate copyrighted material appropriately​

D Key transferable skills 

Upon completing this course, students will be able to:

1. Assess and synthesise information from a range of sources in order to offer an informed judgement on applications of communication technology.
2. Develop your own learning skills in topics related to communications technology.
3. ​Be able to learn independently from third-party materials, in order to keep up to date in communications technology.​​

​The aim of this module is to enable the student to: • Assess the steps involved in the planning, scoping and reconnaissance phase of a network penetration test. • Appraise the tools and techniques used for computer network mapping and vulnerability assessment. • Evaluate exploitation techniques, frameworks and tools. • Compare post exploitation techniques and tools. • Compare password hash generation, storage and use for authentication across a network​

​

​On successful completion of this course, students will be able to:

• Undertake practical projects to solve problems in the area of ITC.
• Perform literature search on a selected topic of interest.
• Apply what they have learnt to plan a project and develop a deliverable.
• Produce project plans for successful undertaking of practical projects.
• Write a detailed project report and communicate their ideas clearly.
• Present their ideas and work formatively before an audience while progressing in their project.
• Present their findings, outcome and deliverable before an audience
  

​A. Knowledge and understanding​

Upon completing this course, students will be able to:

1. Demonstrate understanding of the fundamental technical concepts and principles relevant to their project
2. Apply a systematic approach towards the practical implementation of their project
3. Plan a project while preparing a detailed schedule of the project tasks and milestones for 8 months.
   

B. Cognitive skills

Upon completing this course, students will be able to:

1. Identify and refine the goals and content of their project
2. Identify, list and justify the resources, skills and activities needed to carry out the project successfully
3. Conduct a proper literature search. Gather, analyse and evaluate relevant information to complete the project successfully
4. Critically review how they have tackled the project
   

C. Practical and professional skills

Upon completing this course, students will be able to:

1. Plan and organize their project work appropriately, and keep systematic records of plans, progress and outcomes
2. Identify and address the ethical, social and legal issues that may arise during the development and use of Computing and IT systems
3. Analyse a practical problem and devise and implement a solution building on the knowledge and skills developed throughout their earlier OU studies and experience.
4. Provide a tangible solution by accomplishing their deliverable according to their project requirements.

D. Key transferable skills 

Upon completing this course, students will be able to:

1. Make effective use of a variety of information sources, including the internet, e-library and demonstrating awareness of the credibility of the source
2. Communicate information, ideas, problems and solutions clearly
3. Learn independently and reflect on what has been done, with a view to improving skills and knowledge
4. ​Present their work in a professional manner while addressing the audience in the domain.​

• ​give students an insight into architectures, protocols, standards, languages, tools and techniques;
  
• give students an understanding of approaches to more dynamic and mobile content;​
  
  

​A. Knowledge and understanding

After completing this module, students will be able to:

1. Describe how the development of the Web has enabled the creation of new forms of information systems and impacted commerce and public services.
2. Explain different architectural approaches to application design and contrast traditional approaches with the underlying client–server model of Web applications.
3. Describe the roles of the range of protocols and standards associated with Web applications and their communications, for the development of web applications.
4. Explain the operation and properties of service, distributed and mobile approaches to web architecture.
5. Demonstrate knowledge of a range of different programming languages and explain their differing roles and properties for web applications.
6. Discuss issues of web design including, accessibility, usability, localisation and globalisation and the nature of static and dynamic content and different content delivery approaches
7. Explain a range of security issues including secure protocols, use of certificates, authentication, authorisation, and firewalls​

B. Cognitive skills

After completing this module, students will be able to:

1. Analyse requirements to produce a design for a simple web application, applying an understanding of requirements for aspects such as usability and accessibility.
2. Describe a suitable architecture, components and standards as the basis for implementation of a web application for a public or business organisation.
3. Construct, using appropriate code, a simple web application selecting and reusing code etc where appropriate. , transforms content and integrates services to produce a mobile application​

C. Practical and professional skills

After completing this module, students will be able to:

1. Outline the importance of standards and standardisation bodies.
2. Maintain an up-to-date view of ongoing developments in web technology including standards and techniques.
3. Produce and manage design and development plans for a specific technical solution to a challenge in Web application development.​

D. Key transferable skills 

After completing this module, students will be able to:

1. Find, select and use information from a range of sources to support analysis, design and implementation tasks.
2. Plan and produce a well-structured and researched quality report as part of a project.
3. ​Plan and manage effort and progress whilst undertaking a substantial project.​
   

• ​To develop basic skills of “Learning"
• To know e-Learning: meaning, accessibility, skills, and resources
• To familiarize with the basic concepts of Information Technology: Internet, Web, and Systems
• To familiarize with basic computer system applications: software and hardware
• To learn some practical skills for using computers
• To introduce the concepts of: Security and Ethics
  
  

​A. Knowledge and understanding

After studying the course, the student will be able to:

1. Understand terminologies related to IT and computer
2. Understand the different learning styles
3. Describe the difference between Conventional and blended-learning education systems
4. Understand how to read and take notes in the process of learning
5. Describe the social media types and facilities
6. Have a background about the Web and Internet inventions
7. Understand and explain what is information system and technology
8. Know the types of applications
9. Describe the e-commerce
10. Explain different part in computer system (Hardware such as system unite, input and output, memory and processor)
11. Explain different terms in communication such as network, connectivity, wireless, server, client)
12. Understand clearly what is the difference between privacy and security)
13. Describe what are computer ethics and computer crime 
    

After studying the course, the student will be able to:

1. Learn by himself
2. Deal with computer problems
3. Describe the difference between different learning styles
4. Describe the web and search engines
   

C. Practical and professional skills

To be able to

1. Operate the computer system properly
2. Interact with applications and programs such as (MS office) confidently
3. Communicate with others electronically (Email, instant messaging, blogs, micro-blogs and wikis)
4. Read analytically and critically for the purpose of learning
5. Avoid plagiarisms
6. Initiate a transaction electronically (e-commerce) in a secure way
7. Use the social media in the process of learning and communication with others.
8. Connect and surf the internet
9. Search using the search engines.
10. Send and receive email, and share files in a secure way.
11. Avoid computer crime
12. Use com​puter ethically​