Bachelor of Science in Information Technology

  • Total # of Credit hours
    123

Program Overview

Mission

The mission of the Information Technology program is to provide quality education in the field of information technology based on internationally recognized standards for undergraduate programs; produce information technology professionals who can deploy efficiently IT technologies and implement IT solutions according to market and society needs, particularly in the UAE and Gulf region; and prepare individuals for lifelong learning and research.

Program Educational Objectives

Graduates of the Bachelor of Science in Information Technology program will have the following characteristics within few years of graduation: 

PEO_1. Use their acquired skills and knowledge in information technology to pursue a rewarding and a successful career in public sector, private sector, or academia locally or globally.

PEO_2. Act as an effective individuals or leaders who can address information technology related technical, business, or ethical challenges.

PEO_3. Engaged in life-long learning and professional development through self-study, professional, or graduate studies in information technology or related fields.

Program Coordinator

Dr. Riyadh Mehdi

Admission Requirements

Admission to the program of Bachelor of Science in Information Technology with its two concentrations requires the U.A.E secondary certificate or an equivalent qualification with a minimum average grade of 70% for Advanced stream and a minimum of 80% for General stream, in addition to the English proficiency requirement (TOEFL 500 score or equivalent).

For further information, please refer to the university admissions policy.

Graduation requirements

Students at Ajman University (AU) are eligible for a Bachelor in Information Technology/ Networking and Security after the completion of 123 credits hours, which normally takes eight semesters (not counting summer semesters). In addition, students must undertake 16 weeks of internship (at least 30 contact hours per week), which is equivalent to 3 credit hours. The minimum accumulative grade point average for graduation is 2.0.

Career Opportunities

Graduates of the IT program can undertake a variety of job positions at both the managerial and technical levels. Job opportunities may include but not limited to: IT resources management, professional IT consultant, professional teacher or trainer, marketing of software and hardware, and pursuing postgraduate study and research. For those specializing in networks and security, additional job opening may include: network administration and management, IT security management, building and designing networks.

Curriculum Structure and Credit Hours

The B.Sc. degree in Information Technology requires the completion of 120 credit hours. In addition, the student is required to complete an internship program for 16 weeks (at least 30 contact hours per week) after completing 90 credit hours. This internship experience is equivalent to three credit hours making the total completion requirements 123 credit hours.

Program Learning Outcomes

Graduates of the program will be able to:

PLO#1: Analyze a complex computing problem and to apply principles of computing and other relevant disciplines to identify solutions.

PLO#2: Design, implement, and evaluate a computing-based solution to meet a given set of computing requirements in the context of the program’s discipline.

PLO#3: Communicate effectively in a variety of professional contexts.

PLO#4: Recognize professional responsibilities and make informed judgments in computing practice based on legal and ethical principles.

PLO#5: Function effectively as a member or leader of a team engaged in activities appropriate to the program’s discipline.

PLO#6: Use systemic approaches to select, develop, apply, integrate, and administer secure computing technologies to accomplish user goals.

PLO#7: Apply security principles and practices to maintain operations in the presence of risks and threats.

Program Structure and Credit Hours

Proposed Curriculum Structure and Credit Hours

Courses Descriptions

Program Core Courses and Internship

INT101 - Calculus for Information Technology

This course covers the essential mathematical topics that students specialized in information technology needs. Topics covered are plane analytic geometry; matrices and determinants; solution of a system of linear equations; real functions limits, continuity, differentiation and applications; integration; and graphs.

INT100 - Introductory Programming

This course provides knowledge and skills of problem solving and introductory programming using Java programming language. Topics cover: the problem- solving process; data types; variables, constants, scope, and memory locations; simple sequential programs; basic input/output; selection and repetition control structures; arrays and strings; and user-defined functions.

INT103 - Information Technology in Business

The major role of information technology (IT) is to support organizational personnel, regardless of their functional area or level in the organization. The aim of this course  is to provide students with solid grounding in business uses of information technology in a rapidly changing environment, and to provide discussion of critical issues surrounding the use of IT in organizations. This course covers a range of general information technology topics that will make the student appreciate the role of IT in business. Topics include: information technology fundamentals; information technologies; computer networks and security; business applications; development processes; and ethical, societal and security issues.

INT201- Object Oriented Programming

The primary objective of this course is to introduce the concepts of object-oriented programming: classes, objects, methods, object interaction, encapsulation, inheritance, polymorphism, composition, recursive algorithms, and exception handling. This course is not a comprehensive introduction to all of Java concepts such as applets and socket programming.

INT202 - Discrete Mathematics

This course introduces Discrete Mathematics techniques to Information Technology and Computer Engineering students. Topics covered include propositional logic, predicate logic, inference, induction & other proof techniques, counting, sets, functions, recursion, relations, graphs, and trees.

INT203 - Computer Organization

This course covers the organization of the von Neumann machine, explains how instructions are fetched from memory and executed, how numerical values are represented in digital computers, and identifies the main types of memory used, addressing formats, and a design of simple computer interface.

INT205 - Fundamentals of Data Communications and Networking

Introduction to computer networks and the Internet. Protocol layers and the OSI model.  Network models. Network Performance, Switching, Network Devices. Data Link Layer: ARP, Error Detection & Correction, Data-link Control, Medium Access, Ethernet, WLANs, Network Layer: IP and Routing Algorithms, Transport Layer: UDP, TCP, Congestion Control, Application Layer: Web, FTP, e-mail, DNS and P2P.

INT206 - Fundamentals of Web Systems

This course introduces the fundamentals of client Web systems technologies to students. Topics covered include: XHTML, CSS, XML, and JavaScript, Students will apply this knowledge to generate essential web components like basic browser controls (buttons, links, and menus), forms and frames.

INT209 - Data Structures

The course covers concepts of program performance (time and space complexity); recursion; data structures: lists, stacks, queues, graphs, trees, binary search trees, priority queues, heaps, and operations on them and their applications; sorting; searching and hashing.

INT305 - Fundamentals of Software Engineering

The course emphasizes object-oriented techniques and the use of UML. Topics covered in this course include: overview of the software engineering process, software process models, UML syntax and semantics, software requirement analysis, software design principles and models, component-level design, and software testing. Student will work in teams on software projects.

INT302 - Database Management Systems

This course is designed to give a theoretical and practical background in database techniques. It covers database concepts, data models, data dictionary, entity relationship diagrams, and the relational data model, converting E-R models to relational model, SQL language, normalization, physical database design, and database security. Oracle software is used in the Lab.

INT303 - Fundamentals of Information Security

This course aims at introducing fundamental security concepts to students. Main security threats and related countermeasures are presented. Students will learn the importance of protecting information stored on computer systems from unauthorized access. The students will also learn how to encrypt and decrypt information, control access to objects and recommend a secure system implementation.

INT301 - Operating Systems

This course covers the principles and concepts of modern operating systems. Topics include: operating system services; operating systems structures; operating system processes: threads, synchronization, CPU scheduling, deadlocks; memory management: main memory, virtual memory; storage management: storage structures, file-system interface, and file-system implementation; and operating protection and security.

INT306 - Computer Ethics and Professional Practices

This course will examine the ethical issues that arise in the use of computers, and the responsibilities of those who work with computers, either as computer science professionals or as end users. Topics covered include: legal, social and ethical issues surrounding computer technology and its use; privacy; intellectual property rights and copy right laws; information technology code of ethics; issues of privacy and confidentiality; risks of using computers; and computer crime: computer viruses, hacking, phishing & pharming, and scams.

 

INT307 - Information Technology Project Management

This course covers: characteristics of IT Project management, initiating an IT project; project planning; defining and managing project scope, structuring a project, project schedule and budget, managing project risk, project communication, tracking, and reporting, IT project quality management, ethics and professional practices, and project implementation.

INT309 - Cloud Computing

This course aims to introduce students to theory and practice of cloud computing. Topics include: parallel and distributed systems; deployment and service models;  cloud infrastructure; applications and paradigms; resource virtualization; resouce management and scheduling; networking support; cloud storage systems; and cloud security.

INT313 - User Interface Design

This course introduces students to the concepts, methods, and guidelines of computer user interface design. Topics covered include: user interface design principles, specifications and requirements modeling in UID, usability measures, interaction styles, user-centered design, and evaluating UID and screen layout.

INT322 - Web Technologies

The aim of this course is to develop students’ skills in the technologies and approaches that allow them to develop web applications at the enterprise level, identify key application areas and technology for web applications, and learn key design issues of web applications.

INT323 – Big Data Analytics & Technologies

The aim of the course is to introduce students to the techniques, tools, and technologies used for big data analytics using appropriate programming language. Topics covered in this course include:  statistical evaluation of data, clustering techniques, linear regression, logistic regression, classification methods, MapReduce, Apache Hadoop, Pig, Hive, Hbase, and NoSQL.

INT401 - Information Technology Project

This course aims to give students the opportunity to work in a guided but independent fashion to investigate a problem by making use of information technology knowledge, techniques, and methodologies acquired in the previous semesters to provide a suitable solution to an IT problem. The course also aims to enhance teamwork and communication skills, both oral and written as well as ethical issues involved.

INT402 - Information Technology Internship

Internship familiarizes students with actual working environments. It gives students the opportunity to integrate their knowledge and skills learned in the course by applying it to real world problems encountered in business and industry. Internship also gives the student a feeling of what is involved in working on actual information technology problems and develop communication and team-work skills as well as address ethical and professional issues applicable to computing practice.

INT430 - Artificial Intelligence

This course is designed to introduce the theory and techniques of AI to students. The course covers: knowledge representation schemes, classical and heuristic search techniques, inferencing, machine learning, agent, ethical, economic, and social issues arising from the adoption of AI. The PROLOG language is also covered to enable students to represent, manipulate, and reason with knowledge.

 

Networking and Security Concentration Courses

INT311 - Advanced Computer Networks

This course will cover the principles of networking with a focus on algorithms, protocols, and implementations for advanced networking services.  We will examine a variety of ideas that were proposed to enhance the Internet, why some of these enhancements were successful while others were not. The emphasis in this course is on topics such as routing protocols, advanced routing and switching. It covers Internet architecture, congestion control, QoS, IPv6, and voice over IP.

INT312 - Network Security

This course covers security concepts related to the protection of a network from known threats and attacks.  This includes digital signatures, authentication protocols, IP & Web security and e-mail security. Advanced cryptographic algorithms are also discussed in details such as DES and AES. Determine common network security threats and countermeasures.

INT414 - Wireless Networks

This course presents the student with the latest in wireless technologies.  Topics include: wireless internetworking concepts, architecture and protocols (IEEE802.11 MAC protocols), Mobile IP and a mobile ad hoc routing protocol, Mobility support for the Internet Protocol, Wireless Security, and the performance of a wireless local area network.

INT419 - Network Design & Management

This course covers the principles of network design and management. It includes Top-Down Network Design Methodology, and Designing a Network Topology. It also covers Selecting Switching and Routing Protocols, Developing Network Security Strategies, Developing Network Management Strategies, Physical Network Design, Selecting Technologies and Devices for Enterprise Networks.

INT432 - Ethical Hacking

Students learn how attacks are launched on computers and networks, and how to protect them from such attacks to have a secure network. Additionally, the course introduces the human behavior in terms of data protection, privacy, and threat mitigation. This course also investigates the impact of cybersecurity on society and its related ethical aspects.

INT436 – Cybersecurity Operations & Analytics

This course aims at monitoring and documentation networks, locking down networks, thwart malware, prevent hacks by improving visibility into the environment, using the power of data and security. It helps students to get the needed security skills for monitoring, detecting, investigating, analyzing and responding to security events, which help in protecting systems from cybersecurity risks, threats and vulnerabilities. The course covers topics such as how to monitor computer networks, acquire and prepare security data, correlate security events, use simple statistical methods to detect malware and predict rogue behaviors. Furthermore, this course consists of a set of laboratory experiments that provides hands-on experience in this topic.


 

Major Elective Courses

INT207 - Multimedia Technology

Multimedia has become an indispensable part of modern computer technology. In this course, students will be introduced to principles and current technologies of multimedia systems and gain hands-on experience in this area. Issues in effectively representing, processing, and retrieving multimedia data such as audio, graphics, images, and video will be addressed.

INT321 - Database Administration

This course prepares students to administer and maintain databases by applying best practices and procedures to any database platform. With general, platform independent approach, students will be able to work as database administrators to any of the major industrial databases including Oracle, IBM DB2, Sybase, Microsoft and MySQL. Students will become familiar with DBA roles and responsibilities, be able to create a database environment with modeling and normalization as well as reporting while maintaining data integrity.

INT403 - Selected Topics in Information Technology

This course aims to introduce students to new developments in the area of information technology not specifically covered in the curriculum and in which a faculty member has developed interest and proficiency. The intention is to provide a rapid response to current trends and to widen student’s knowledge in areas such as but not limited to: information storage, retrieval, security, processing, or transition. Specific content of the course will depend on the particular area taught at the time.

INT405 - Knowledge-Based Systems

The aim of this course is to introduce the concepts, principles, design and operation of a knowledge base systems (KBS) with particular emphasis on expert systems. Topics covered include: Knowledge representation with production rules; Inference using forward chaining and backward chaining; Uncertainty handling: Frame based expert systems; Fuzzy expert systems; Knowledge acquisition and data mining; Agents and multi-Agents systems. Practical assignments are used to emphasize these topics in the lab.

INT406 - Computer Modeling and Simulation

This course aims to introduce students to elements and methodology of simulation. Topics include: basic concepts and types of simulation, discrete-event simulation, a review of probability and statistics relating to simulation, selecting input probability distributions, generation of random variates, design of simulation experiments and output analysis, verification and validation of simulation models. Students are expected to submit a simulation project.

INT413 - Network Operating Systems

This course introduces network operating system NOS, which is the software that allows multiple computers to communicate, share files and hardware devices with one another. The course aims to provide the student with theoretical and practical knowledge of network operating systems. The student is exposed to some of the most commonly used network operating systems. The student will reinforce their theoretical knowledge in practical sessions where they will install configure, manage and trouble-shoot network operating systems.

INT416 - Data Compression

The aim of this course is to introduce the theoretical underpinnings of data compression and cover many fundamental algorithms. Topics covered include: fundamentals of digital communication, communication channel, measure of information, encoding of source output, Shannon’s algorithms. Discrete and continuous channel entropy coding, variable length code, channel noise, compression & codes, lossless compression algorithms, lossy compression algorithms, audio compression, image and video compression.

INT417 - Distributed Systems

The aims of this course are to study the fundamental characteristics of distributed systems.  Topics covered will include: low-level basics including sockets, internet-based inter-process communications, and threading; remote-procedure-calls and remote-method-invocations; modern synchronous and asynchronous style client server systems and supporting processes; messaging and transactional systems; peer-to-peer and grid technologies; supporting systems such as naming and directory services.

INT422 - Information Architecture

Information is the heart of knowledge and one of the main pillars of information systems. This course introduces fundamental concepts and methods of understanding and modeling data as well as extracting information out of it. It also shows how to represent large volume of information and allow users to comprehend and interact with it in an effective way. The course focuses on data modeling and architecture approaches allowing student to build effective information architecture. Then the student will learn how to interact with information using different labeling, navigation, and search strategies. Students will finally learn about information architecture in practice and its applications in large organizations.

INT426 - Knowledge Management

The aim of this course is to introduce basic concepts, terminologies, tools, and techniques of Knowledge Management (KM).  Topics covered include: the origins and units of organizational knowledge; knowledge management life-cycle models, knowledge management implementation models, knowledge capture and codification, knowledge sharing, knowledge management tools and knowledge management strategies.

INT427 - Advanced Web Topics

The aim of this course is to develop the skills of the students in the technologies and approaches that allow them to develop an advanced web application at the enterprise level using web services that run on different machines to exchange data and integrate web-based applications using open standards over an Internet protocol.

INT429 - Mobile Applications

This course provides an introduction to mobile software development for those with Java programming experience. Students will learn to build mobile applications for phones and tablets through the study and use of a complex software development kit (Android Java SDK). Students will explore the emerging mobile ecosystem, location-aware software, and advanced programming topics including inheritance, polymorphism, threads, sensors, APIs and databases.

INT421 - Web Application Design & Development

This course prepares students to understand the application of java enterprise edition (Java EE) technologies and its implementation into an enterprise level web application. Topics covered include Servlets, Java Server Paces, RESTful Web Services, SOAP-based Web Services, JSON process, Enterprise JavaBeans, Java Transaction and Persistence. This course will take a project-based assessment approach with its primary emphasis on the delivery of the enterprise level web product/project by students.

INT423 - Advanced Database Design and Implementation

This course builds on top of the first DBMS course by introducing advanced database concepts to allow students to effectively design and implement a database. The course revisits SQL in a deeper, more practical approach, with a focus on its PL/SQL extension. The student will learn object-oriented database design, and how to manage multi-user databases with respect to concurrency and recovery. Students also will be exposed to distributed database systems.

INT424 - E-Commerce

This course aims to expose students to the theory and practice of e-commerce. Topics covered are: Introduction to E-Commerce, E-Commerce Technology Infrastructure, Revenue models, Marketing on the web, Business-to-business online strategies, Web server hardware and software, E-Commerce Commercial Software, E-Commerce security, Payment Systems, and Planning for e-commerce business.

INT428 - Data Warehousing and Data Mining

This course aims to introduce students to concepts and techniques of Data Warehousing and Data Mining. Topics covered include: data warehouse architecture, development life cycle, logical data modeling for a data warehouse, Data mining concepts and tasks, data preprocessing and reduction, classification techniques, association analysis and algorithms, clustering analysis and algorithms, anomaly detection methods, and web mining.

INS307 - Business Process Management

The course introduces the methods and techniques required to analyze, design, implement,

automate, and evaluate business processes. Structured along the phases of the Business Process Management (BPM) life cycle, students learn to analyze organizational performance from a process perspective, redesign processes using value-focused techniques, design workflows and implement them in BPM systems, simulate new process design to ensure continual improvements within organizations. The course leads students from process discovery through conceptual and technical process design through the implementation of workflows to improve organizational capabilities.

INS402 - Business Intelligence and Data Warehousing

Today’s IT deals with gigantic amount of information. The success of any organization greatly depends on its ability to process and understand its information and extract essential knowledge to help managers take well-informed decisions. This course teaches students the basic of data warehouse and how to deal with business intelligence – an information technology approach to data collection, data storage and data analysis to support a wide variety of management tasks, from performance evaluation to trend spotting and policy making. The students learn effective modeling techniques and use them to extract business intelligence and present them to users.