Bachelor of Information Technology
The Bachelor of Information Technology (B.IT) program is accredited by the Computing Accreditation Commission of ABET, https://www.abet.org, under the General Criteria and the Program Criteria for Information Technology and Similarly Named Computing Program
Program Name
Bachelor of Information Technology
Program Description
Study at the Information Technology Department started with the first semester of the academic year 2005/2006. The department started under the name “Information System Program”, and the name changed to Information Technology program with changes on 20/9/2010. All basic science subjects in the Information Technology are taught in the Information Technology Department, utilizing their state of the classrooms and laboratories including Vblock labs, Engineering labs, and traditional CIT labs. The department encourage its students to have a practical training in different organization to enhance their practical capabilities in Database, Networks and Security.
Total Credit Hours for Completing the Program
156
Professional Occupations/Jobs
-
The program prepares students to be a profession as:
- Database administrator,
- Web developer,
- Systems analyst,
- Business systems consultant,
- Network analyst,
- Network security administrator,
- Software applications specialist,
- PC support technician,
- Web administrator, and
- Vendor representatives for both hardware and software firms.
Program Mission
The information technology program enables the graduates to apply best practices in emerging information technology fields, serve the community and pursue graduate studies.
Program Goals
-
Improve the quality of teaching and the outcomes of learning.
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Apply appropriate and emergent teaching methods and promote lifelong learning and the pursuit of graduate work.
- Effectively use information technology research to contribute to community development.
- Retain outstanding faculty and staff.
- Establish a relationship with government, industry, and the local community.
- Improve infrastructure, facilities, and support services.
Graduate Attributes
- Ability to solve real KSA problems in IT domain considering KSA vision 2030.
- Ability to design IT solutions.
- Ability to communicate effectively with diverse groups.
- Ability to evaluate IT technologies considering legal and ethical rules.
- Ability to work effectively in a team.
- Ability to understand user needs.
PROGRAM EDUCATIONAL OBJECTIVES
Within four to five years of their graduation, our Information Technology graduates will:
PEO-I: Perform as a successful professional in related fields of Information Technology.
PEO-II: Function effectively in the workplace and gradually move into leadership positions for the betterment of the nation and society.
PEO-III: Purse higher education and/or engage themselves in professional development to meet global standards
Program Learning Outcomes
Knowledge and Understanding
K1. Identify and analyze user needs and to take them into account in the selection, creation, integration, evaluation, and administration of computing-based systems.
Skills
S1. Analyze a complex computing problem and to apply principles of computing and other relevant disciplines to identify solutions.
S2. Design, implement, and evaluate a computing-based solution to meet a given set of computing requirements in the context of the program’s discipline.
S3. Communicate effectively in a variety of professional contexts.
S4. Use systemic approaches to select, develop, apply, integrate, and administer secure computing technologies to accomplish user goals.
Values
V1. Recognize professional responsibilities and make informed judgments in computing practice based on legal and ethical principles.
V2. Function effectively as a member or leader of a team engaged in activities appropriate to the program’s discipline.
Admission:
This document and the online resources are managed by the deanship of admission and registration, designed to help students and their parents learn about TU and its admission processes.
An applicant for admission to the Information Technology program at TU must satisfy a number of requirements, including:
- The student must be a Saudi citizen at the time of application, or an immediate Saudi matrilineal descendent or a foreigner who has a valid residence at the time of applying to the university.
- The student must possess a Saudi high school certificate, or its foreign equivalent.
- The student must successfully pass a skills test with a mark of at least 70%. Such tests are administered by the National Assessment Center for Higher Education and carried out in a large number of centers across the Kingdom. This condition was applied till the academic year 2016-2017. This condition is cancelled from the academic year 2017-2018
- The student is required to take an entrance exam, the result of which must be 70% or better. Such an exam is administered and managed by the Deanship of Admission and Registration at TU. This condition was applied till the academic year 2016-2017. This condition is cancelled from the academic year 2017-2018
- For each candidate for admission, the deanship of Admission and Registration assigns a weighted average of the student’s scores in high school, skills test and entrance test. The assigned weights are 40%, 30% and 30% to the high school grades, skills test and entrance test, respectively. This condition was applied till the academic year 2016-2017. This condition is modified from the academic year 2017-2018. The new condition is: For each candidate for admission, the candidate should get at least 90. 70 and 70 in the high school grades and the two exams of skills, respectively. The deanship of Admission and Registration assigns a weighted average of the student’s scores in high school, skills test and entrance test. The assigned weights are:
- 30% of General Aptitude Test,
- 30% of Secondary School GPA,
- 40% of Subject Achievement Test.
Admission to the Information Technology program at TU is highly competitive. The number of students accepted is limited to the number of seats available as decided by the University Council and based on the capacity of resources of the College of Computers and Information Technology.
The following diagram shows the current study plan
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Please note that complete course specifications can be found in the attachments below.
Required Courses
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Course Title |
Fundamental of Mathematics |
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Course Code |
202126-3 |
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Credit Hours |
3 |
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Prerequisite |
-- |
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Course Description |
The course presents fundamental concepts and reasoning, distilled from mathematics science and other computational sciences, for types of proofs, Induction, number theory, Relations, Sums, Approximations, and Asymptotic, counting and functions. |
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Course Title |
Introduction to Problem Solving |
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Course Code |
501110-2 |
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Credit Hours |
2 |
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Prerequisite |
-- |
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Course Description |
The course presents fundamental concepts of problem-solving techniques in computer science and other computational sciences. Topics include Problem solving approaches and process, Arithmetic Expression, Debugging, Decision structures, Repetition Structures. |
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Course Title |
Computer Skills |
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Course Code |
501112-2 |
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Credit Hours |
2 |
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Prerequisite |
-- |
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Course Description |
The course presents fundamental skills in Basic Computer Operations, Computer Core, Word Processing/Desktop Publishing, Spreadsheet/Graphing, Database, presentations, Telecommunications, E-Mail, Web Browsing, Online Research, Social Legal and Ethical issues. |
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Course Title |
General Biology |
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Course Code |
2011211-3 |
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Credit Hours |
3 |
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Prerequisite |
-- |
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Course Description |
Studying the concepts of ecology and environmental pollution. Also, this course discusses the principles and commercial applications of biotechnology to environmental problems. The course is structured to promote self-learning and students' development of Biotech solutions to real-life problems. Biotechnology is not just genes! Individual subject areas include the use of biotechnology to clean up or 'bioremediation' polluted environments as well as the economic recovery of important minerals and precious metals. Furthermore, the application of biological systems in preventing pollution by supporting our planet's sustainable development is also explored in subject areas such as biofuels. The controversial issues of agricultural biotechnology are also examined in this course. |
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Course Title |
General Chemistry |
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Course Code |
204124-2 |
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Credit Hours |
2 |
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Prerequisite |
-- |
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Course Description |
Introduction (Matter and Measurement), Atoms, Molecules, and Ions, Chemical Reactions and Reaction Stoichiometry, Aqueous Reactions and Solution Stoichiometry, Thermochemistry, Electronic Structure of Atoms, Periodic Properties of the Elements, Basic Concepts of Chemical Bonding, Molecular Geometries and Bonding Theories, Gases. |
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Course Title |
Scientific Computing |
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Course Code |
501125-2 |
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Credit Hours |
2 |
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Prerequisite |
-- |
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Course Description |
The course introduces the practical aspects of scientific computing where students will be exposed to fundamental coding elements and concepts to solve a wide range of computing and engineering problems. |
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Course Title |
Computer Aided Drawing |
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Course Code |
503121-1 |
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Credit Hours |
1 |
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Prerequisite |
-- |
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Course Description |
This course focuses on using AutoCAD program, introductory descriptive geometry, orthographic, deducing the missed view, and dimensioning. |
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Course Title |
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Course Code |
202261-3 |
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Credit Hours |
3 |
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Prerequisite |
-- |
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Course Description |
This course teaches the concepts and techniques of limits, differentiation and integration and their application to problems in science and engineering. |
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Course Title |
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Course Code |
203206-4 |
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Credit Hours |
4 |
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Prerequisite |
-- |
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Course Description |
This course introduces systems of units, dimensional analysis, Vector and scalar Quantities, Motion in One Dimension, Newton’s Laws of Motion, Work, Energy and momentum, Electric field, Electric Potential, Electric current, Capacitance, Direct and Alternating Current circuits, Geometrical optics. |
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Course Title |
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Course Code |
501215-3 |
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Credit Hours |
3 |
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Prerequisite |
-- |
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Course Description |
Introduce propositional logic, predicates, quantifiers; sets, functions, sequences; proof strategy, induction, recursion; relations, equivalence relations, partial orders; basic counting techniques, permutation and combination, introduction to graph, trees, and computation models. |
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Course Title |
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Course Code |
501220-3 |
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Credit Hours |
3 |
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Prerequisite |
-- |
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Course Description |
Introduce the fundamental concepts of programming and problem-solving techniques. Topics include data types, control structures, arrays, pointers, and the mechanics of running, testing, and debugging. |
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Course Title |
Calculus (2) |
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Course Code |
202263-3 |
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Credit Hours |
3 |
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Prerequisite |
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Course Description |
This course reinforces and extends the concepts and techniques of limits, differentiation and integration of functions taught in Calculus (1) and introduces the concept of sequences and series and their application to problems in science and engineering. |
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Course Title |
Physics (2) |
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Course Code |
203207-4 |
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Credit Hours |
4 |
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Prerequisite |
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Course Description |
This course covers the following topics: magnetic fields, sources of magnetic field, The Biot-Savart Law, Ampere's Law, Gauss's Law in magnetism, Inductance, Faraday's Law of Induction, RL Circuits, mutual inductance, RLC circuit, and alternating current circuits. |
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Course Title |
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Course Code |
501222-3 |
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Credit Hours |
3 |
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Prerequisite |
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Course Description |
This course is a continuation of 501220-3 Computer Programming (1). It extends programming concepts to include functions, pointers, functions and arrays, string manipulation, file handling, and introducing object-oriented programming. |
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Course Title |
Digital Logic Design |
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Course Code |
503221-4 |
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Credit Hours |
4 |
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Prerequisite |
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Course Description |
This course covers many basic topics such as numbering systems, Boolean algebra, simplification using Boolean algebra and Karnaugh maps, and different logic gates. The course also deals with analysis and synthesis of combinational circuits, e.g., adders, encoders, decoders, multiplexers and demultiplexers. Flip‐flops and Sequential circuits such as registers, counters, and other basic also presented. The course prepares the students to apply the above basic skills to design, implement, and test digital logic circuits in the laboratory. |
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Course Title |
Linear Algebra |
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Course Code |
202262-3 |
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Credit Hours |
3 |
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Prerequisite |
-- |
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Course Description |
This course is an introduction to Linear Algebra during a study of linear systems of equations and its solutions methods, and a study of Matrices, determinants, operations on matrices and Eigenvalues and Eigenvectors. Finally, a simple introduction to Vector spaces. |
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Course Title |
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Course Code |
202364-3 |
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Credit Hours |
3 |
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Prerequisite |
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Course Description |
Statistical methods and the application of probability theory are essential to the understanding of data and underlying processes in many fields of sciences and engineering. This course provides an introduction to probability and statistics concepts with applications for students who would like to have careers in the Computer Science and Computer Engineering. Topics include sample space, events, random variables, expectation and moments, combinatorial probability, conditional probability, discrete and continuous distributions, discrete and continuous probability density functions, functions of random variables, sampling distributions, introduction to stochastic processes, statistical inference, estimation and test of hypotheses. |
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Course Title |
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Course Code |
501323-3 |
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Credit Hours |
3 |
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Prerequisite |
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Course Description |
Introduce Object-Oriented concepts and techniques such as classes, interfaces, encapsulation, inheritance, and polymorphism using one or more object-oriented languages. Study UML, software design methodologies and design patterns. |
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Course Title |
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Course Code |
501324-3 |
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Credit Hours |
3 |
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Prerequisite |
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Course Description |
This course introduces students to development, implementation, and analysis of efficient data structures and algorithms. Topics include analysis of sorting and searching algorithms and abstract data types such as stacks, queues, linked list, trees, graphs, and hash tables. |
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Course Title |
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Course Code |
502372-3 |
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Credit Hours |
3 |
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Prerequisite |
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Course Description |
This course will introduce the basic concepts in database systems and architectures, including data models, database design, and database implementation. Its emphasis on topics in ER model and relational databases, including relational data model, SQL, functional dependency and normalization, database design process. |
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Course Title |
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Course Code |
502315-3 |
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Credit Hours |
3 |
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Prerequisite |
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Course Description |
Introduce students to Web programming technologies to create static and dynamic Web pages using databases. Topics include web servers, HTML, CSS3, Java Script and PHP using MySQL. |
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Course Title |
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Course Code |
502321-3 |
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Credit Hours |
3 |
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Prerequisite |
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Course Description |
This course provides an introduction to the fundamentals of operating systems. Topics include operating system components; concurrency, mutual exclusion and synchronization, CPU scheduling algorithms, deadlock, and memory management. |
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Course Title |
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Course Code |
502361-3 |
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Credit Hours |
3 |
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Prerequisite |
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Course Description |
Fundamentals of system development methodologies, techniques and tools. Exposure to planning tools: Details of analysis and design tools and techniques: data flow diagrams, data dictionary, entity-relationship diagrams, process specifications, structure chart. Principles of user interface design. Practice of analysis and design through case studies. Use of CASE Tools in system planning, analysis and design. Emphasis on front-end SDLC phases of planning, analysis and design using traditional and Object-Oriented approach of system development. |
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Course Title |
Database Management Systems |
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Course Code |
502373-3 |
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Credit Hours |
3 |
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Prerequisite |
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Course Description |
This course will introduce the basic concepts database management systems, including file structure and indexing techniques, query processing, query concurrency, recovery techniques, transaction protocols and database security fundamentals. |
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Course Title |
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Course Code |
502333-3 |
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Credit Hours |
3 |
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Prerequisite |
-- |
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Course Description |
This course concentrate on the following knowledge and skills, what is an information system and what are its management, organization, and technology dimensions? Why are information systems so essential in businesses today? Why are systems for collaboration and teamwork so important? How can information systems help businesses become more competitive? What broader ethical and social issues are raised by widespread use of information systems? This course answers questions such as: What technologies do businesses today need to accomplish their work? What do I need to know about these technologies to make sure they enhance the performance of the firm? How are these technologies likely to change in the future? |
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Course Title |
Systems Administration |
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Course Code |
502420-3 |
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Credit Hours |
3 |
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Prerequisite |
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Course Description |
This course focuses on administration of operating systems in a client-server technology (Windows and Linux on virtual machine), installation and maintenance. It prepares students to installation of Windows Server, NTFS file system and folder permissions, Domain Name System, Active Directory, local and domain Group Policy, Windows Terminal Services, Internet Security and Acceleration Server, Internet Information Services, communications, and networking. An introduction to Linux, terminal, working with Windows, system administration, configuration of server: WWW, DHCP, DNS, Samba, NFS, emails and printers. |
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Course Title |
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Course Code |
502435-3 |
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Credit Hours |
3 |
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Prerequisite |
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Course Description |
Introduces to different aspects of software development for reliable systems. Study of software development process models, project management techniques, modeling notations, requirement analysis, architecture design methods, and testing techniques. |
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Course Title |
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Course Code |
502478-3 |
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Credit Hours |
3 |
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Prerequisite |
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Course Description |
Data warehousing has drawn increasing interest within the software enterprises to gain critical insights of daily business analytic operations. Data warehouse is a tool providing comprehensive analysis of operational data and to identify patterns. This course provides an introduction to fundamental techniques and novel applications of data warehouse. Issues covered by this learning experience include data warehouse fundamentals, planning, business analytics modeling, data warehouse design and implementation. In particular, the role of data warehouse in supporting business intelligence and effective decision making. Further, it involves an in-depth study of various concepts needed to design and develop a data warehouse. This course is designed to expose students to concepts, enabling methods and hands-on usage and problem solving in an integrated way. As one of IS depth electives, it provides a good balance between theory and practice. The participants will explore applications and have great opportunity for hands-on experimentation with data warehousing and reporting tools. |
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Course Title |
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Course Code |
502482-3 |
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Credit Hours |
3 |
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Prerequisite |
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Course Description |
The aim of this course is to present the basic concepts of computer networks: Motivations, topologies, network hardware, types, and applications. The Open System Interconnection (OSI) reference model and TCP/IP protocol suite will be demonstrated. Moreover, the data link layer that contains Data framing, Error control, flow control, MAC protocols (ALOHA, CSMA/CD, Token Passing, etc.). In addition, an overview about Local Area Networks (LANs) such as standards (IEEE 802.x), Ethernet technology, and Wireless LANs will be present. Furthermore, the network layer that comprises IP protocol in addition to routing protocols will be introduced. The two famous transport layer protocols, Transmission Control Protocol (TCP) and User Datagram Protocol will be recognized. Finally, the application layer protocols such as Simple Network Management Protocol (SNMP), Simple Mail Transport Protocol (SMTP), and File Transport Protocol (FTP) will be presented. |
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Course Title |
Professional Ethics |
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Course Code |
500321-2 |
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Credit Hours |
2 |
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Prerequisite |
990414-2 Islamic Culture (Human Rights) |
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Course Description |
The course intends to cover the computer crime (viruses, worms, Trojan horses, hacking) and the ways to implementing computer ethics (computer professionals and social responsibility). Also, the software copyright, piracy, privacy, security, and civil liberties and some selected topics such: Philosophical Foundations of Ethics, Ethics, Ethical Dissent and Whistleblowing. Monopolies and their Economic, Social and Ethical Implications. This course provides a general overview of the social and ethical issues in computing. Students will learn about the impacts on and implications of the development, management and use of technology in various aspects. Emphasis is given to the issues which are relevant to the field of Information Systems. |
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Course Title |
Web Services |
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Course Code |
502449-3 |
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Credit Hours |
3 |
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Prerequisite |
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Course Description |
This course will introduce the major concepts and techniques for enabling Web service- based interactions on the Web. Topics include various aspects of Web services such as reference models for Web services (UDDI, SOAP, WSDL), Web service composition, semantic Web services, security/privacy in Web services, and overview of Web service standards (BPEL4WS, WS-Security, etc.). The course also puts emphasis on familiarizing the students with the recent trends in industry and academia to address Web service research issues. |
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Course Title |
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Course Code |
502459-3 |
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Credit Hours |
3 |
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Prerequisite |
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Course Description |
This course introduces the basic security attacks against computer systems and the different techniques to overcome these attacks. Besides, this course explains the different modern encryption mechanisms and protocols (including symmetric and public key cryptography). Moreover, it examines the different security services such as authentication and access control. Finally, this course introduces an overview to network security and the tools used to secure networks such as the firewall, proxy and intrusion detection systems. Students will learn about tools for defending against attacks, and methods for designing secure systems. |
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Course Title |
IT Project Management |
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Course Code |
502462-3 |
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Credit Hours |
3 |
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Prerequisite |
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Course Description |
This course focuses on project management fundamentals and strategies. It presents the concepts of project charter, project management plan and human aspects of project management. It also introduces project implementation issues, management of IT projects from initiating, planning, executing, controlling, reporting, and closing a project. It presents the concepts of project integration, scope, time, cost, quality control, communication, and risk management. It also tackles the issues of Software size and cost estimation. |
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Course Title |
Software Architecture |
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Course Code |
502464-3 |
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Credit Hours |
3 |
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Prerequisite |
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Course Description |
This course introduces basic concepts and principles about software architecture and software architecture design. Practical approaches and methods for creating and analyzing software architecture are presented with emphasis on the interaction between quality attributes and software architecture. Students will also gain experiences with examples in design pattern application and case studies in software architectures. |
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Course Title |
Information Management |
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Course Code |
502474-3 |
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Credit Hours |
3 |
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Prerequisite |
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Course Description |
This course builds on what the students learnt in IT in organization course. This course examines the core information system applications businesses are using today to improve operational excellence and decision making. These applications include enterprise systems; systems for supply chain management, customer relationship management, collaboration, and knowledge management; e-commerce applications; and decision-support systems. This course answers questions such as: How can enterprise applications improve business performance? How do firms use e-commerce to extend the reach of their businesses? How can systems improve collaboration and decision making and help companies make better use of their knowledge assets? This course focuses on building and managing systems in organizations. This course answers questions such as: What activities are required to build a new information system? What alternative approaches are available for building system solutions? How should information systems projects be managed to ensure that new systems provide genuine business benefits and work successfully in the organization? What issues must be addressed when building and managing global systems? |
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Course Title |
System Integration and Architecture |
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Course Code |
502510-3 |
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Credit Hours |
3 |
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Prerequisite |
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Course Description |
This course studies the process of integrating different systems and software applications by examining current and emerging trends, strategies, and techniques for developing systems integration solutions effectively. Example topics covered include, but are not limited to: documenting integration requirements using business process models, designing integration solutions reusing patterns, and implementing integration solutions using service oriented architecture. Students will extend course topics via library assignments, programming assignments, tool evaluation assignments, and other assigned activities. |
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Course Title |
Human Computer Interaction |
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Course Code |
502536-3 |
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Credit Hours |
3 |
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Prerequisite |
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Course Description |
The term “Human factors” relates to both how people interact with technology, and the ways in which technology can affect people’s performance. This course provides an introduction to human factors related to the design of information systems. The emphasis is on the human component of human-computer interaction (HCI), and the process of user-centered design and evaluation. In general, lectures will be interactive, combining in-class discussions with small group problem-solving exercises. |
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Course Title |
Network Servers and Infrastructure |
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Course Code |
502583-3 |
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Credit Hours |
3 |
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Prerequisite |
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Course Description |
This course focuses on describing and designing the LAN/WAN technologies and devices. The course provides comprehensive details of network server protocols and routing algorithms required for connectivity procedures. It aims to introduce students to the fundamental techniques used in implementing network communications. The students will have some practical experience in applying these protocols in within a given design of a networked systems. |
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Course Title |
Field Experience |
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Course Code |
502595-2 |
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Credit Hours |
2 |
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Prerequisite |
-- |
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Course Description |
This is tries to Provide students with practical experience, help the student to adapt the work environment, help the student to take responsibility, Linking theoretical study with the practical reality, skills to communicate with others and listen to their opinions and discussion, provide an opportunity for companies/institutions to identify distinctive cadres in order to attract when they graduate to work, gain the skill of writing preparation of technical reports and gain experience of engineers, technicians and identify their working lives. |
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Course Title |
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Course Code |
502598-3 |
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Credit Hours |
3 |
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Prerequisite |
502361-3 and 502315-3 and 999808-2 English for Specific Purpose (2) |
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Course Description |
This course provides students with the opportunity to apply the knowledge acquired during their studies. The students extend their academic experiments of leadership into areas of personal interest and demonstrate their ability to work as a team to accomplish the project. The teams demonstrate their ability to analyze, synthesize, design, and evaluate information. During the second semester, the software and/or hardware implementation takes place followed by the testing and verification phases. Finally, the students should submit a comprehensive report about their achievements to the IT department. |
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Course Title |
Advanced Topics in Networks |
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Course Code |
502584-3 |
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Credit Hours |
3 |
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Prerequisite |
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Course Description |
The aim of this course is to present them concepts which are related to networks interconnection: Motivations, TCP Protocol (TCP characteristics, TCP services (error control, flow control, sequencing, etc.), TCP Segment, TCP Applications, etc.) should be demonstrated. Furthermore, UDP Protocol: Application identification (port, socket), UDP characteristics, UDP Datagram, UDP Applications, etc.) should be presented. Also, Multimedia Internetwork protocols such as RTP, RTCP, RTSP, etc. will be demonstrated. Furthermore, high speed networks motivations, interconnection equipment’s, and technologies: X25, FR, ATM, DSL, PPP, etc. will be introduced. Also, wireless technologies will be discussed. Finally, a most recent topic in wireless communication should be selected and presented. |
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Course Title |
Capstone Project (2) |
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Course Code |
502599-3 |
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Credit Hours |
3 |
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Prerequisite |
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Course Description |
This course provides students with the opportunity to apply the knowledge acquired during their studies. The students extend their academic experiments of leadership into areas of personal interest and demonstrate their ability to work as a team to accomplish the project. The teams demonstrate their ability to analyze, synthesize, design, and evaluate information. During the second semester, the software and/or hardware implementation takes place followed by the testing and verification phases. Finally, the students should submit a comprehensive report about their achievements to the IT department. |
Elective Courses
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Course Title |
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Course Code |
5025551-3 |
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Credit Hours |
3 |
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Prerequisite |
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Course Description |
This course focuses on basic concepts in network security. It aims to introduce students to the fundamental techniques used in implementing secure network communications, and to give them an understanding of common threats and attacks. The student will have some practical experience in attacking and defending networked systems. |
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Course Title |
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Course Code |
5025552-3 |
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Credit Hours |
3 |
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Prerequisite |
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Course Description |
This course introduces students to secure programming fundamentals. Topics to be covered include but not limited to: Software Security Problems, Static Analysis, Buffer Overflow, etc. |
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Course Title |
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Course Code |
5025553-3 |
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Credit Hours |
3 |
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Prerequisite |
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Course Description |
This course focuses on the basic concepts in security of wireless systems. First, this course will introduce the wireless systems and its components to students. Second, it gives students a good understanding of common threats and attacks that can affect wireless systems. Finally, the course introduces students to the fundamental techniques and technologies used in designing a wireless system that is robust against attacks. The student will have some practical experience in defending wireless systems. |
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Course Title |
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Course Code |
502570-3 |
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Credit Hours |
3 |
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Prerequisite |
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Course Description |
This course intends to introduce more advanced topics in databases such as distributed databases, complex data, and advanced DBMSs. The emphasis is on object-oriented database systems. The course contains a deeper treatment of the object-oriented database area that comprises an overview of object-oriented concepts, Object oriented Data Model, Comparing relational DBMSs and OODBMSs, Object orientation in Query Languages, Object oriented Database systems, Object database standards. Also, the practical exposure for object-oriented support provided by popular packages like Oracle, DB2, etc. for OODB is included in this course. |
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Course Title |
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Course Code |
502571-3 |
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Credit Hours |
3 |
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Prerequisite |
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Course Description |
This Introduces fundamental concepts and techniques in data mining. Students will develop an understanding of the data mining process and apply various techniques to solve data mining problems using data mining tools. Topics include data pre-processing, supervised and unsupervised learning approaches to classification problems, association rule mining, anomaly detection and performance measurements. |
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Course Title |
Computer Crimes and Forensics |
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Course Code |
5025554-3 |
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Credit Hours |
3 |
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Prerequisite |
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Course Description |
This course introduces computer crimes and legal issues related to its investigation. In this course, the student will learn procedures on tracking, analyzing, and patching security holes after an incident has occurred. This will include seizure of equipment, analysis of confiscated materials, and follow up procedures relating to the incident. |
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Course Title |
Advanced Topics in Security |
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Course Code |
5025555-3 |
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Credit Hours |
3 |
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Prerequisite |
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Course Description |
This course will introduce students to current state-of-the-art topics in security. Topics may vary from year to year. For example, this course may introduce IoT security, cloud networks security, Hacking techniques, etc. Moreover, students will be asked to read and present some recent research papers in the field of security by their own. Moreover, students will be asked to perform some practical projects related to the selected topics. |
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Course Title |
Information Security Policies |
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Course Code |
5025556-3 |
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Credit Hours |
3 |
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Prerequisite |
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Course Description |
This course studies some case in computer security. The student will be able to develop Information Technology security policies for small and large organizations with specific regard to components such as email, web servers, web browsers, firewalls, personal applications, passwords, etc. The student will have a sound understanding of the areas of Information Technology where policy development and implementation may help in reducing the effects of attack. |
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Course Title |
Mobile Computing |
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Course Code |
502557-3 |
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Credit Hours |
3 |
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Prerequisite |
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Course Description |
This course will introduce the concepts of mobile computing and mobile app development. It will examine the factors that differentiate mobile apps from desktop apps and considerations during mobile app development including UI design and interaction, resource constraints, and software tools. The course will also introduce different mobile operating systems, their architectures and programming models. |
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Course Title |
Non-Traditional Database |
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Course Code |
502575-3 |
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Credit Hours |
3 |
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Prerequisite |
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Course Description |
This course aims to impart skills in alternative data storage mechanisms of handling ever growing data volumes of data. The concept of all non-traditional databases is to leverage the commodity hardware to support large volume of data and parallel processing. This course aims to build on the foundations of understanding various types of non-traditional databases that support large volume of data and parallel processing, these are in general categorized as: Row-based NoSQL database, column-based NoSQL database or columnar database, document-based NoSQL database, graph database, time series database, in memory database, object-oriented, network, and triple stores. |
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Course Title |
Special Purpose Database |
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Course Code |
502576-3 |
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Credit Hours |
3 |
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Prerequisite |
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Course Description |
The course offers an introduction to the concepts, principles and theories behind Geographic Information Systems and Science (GIS), with emphasis on the nature of geographic information, data models and structures for storing geographic information, geographic data input, data manipulation and simple spatial analysis modeling techniques. The course is composed of two components: Lectures and labs. |
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Course Title |
Big Data |
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Course Code |
502577-3 |
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Credit Hours |
3 |
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Prerequisite |
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Course Description |
Big Data is the description used to encompass the huge amounts of data that is common to many businesses. The course aims to build on the principles upon which serious Big Data resources are built. All data held in Big Data resources must have a form that supports search, retrieval, and analysis. This course provides practical foundation level training that enables immediate and effective participation in Big Data and other analytics projects. It includes an introduction to Big Data and the data analytics lifecycle to address business challenges that leverage Big Data. The course provides grounding in basic and advanced analytic methods and an introduction to Big Data analytics technology and tools, including MapReduce and Hadoop which will be used to develop a range of Big Data applications. By the end of this course, student will learn analytical skills to study Big Data and to provide a solid foundation for developing solutions and applications that need to manipulate Big Data. |