CS New Course Descriptions | College of Computer Science

Course description for study plan until 2018>>>

Course Code	Course Title	Pre-Requisite	Credit Hrs
111-CCS-3	Introduction to Computing	-	3
This course gives the students an introduction to computers and programs; Problem solving and algorithm development; Simple engineering and scientific problems; Introduction to the modular programming paradigm, Programming with emphasis on modular and structured programming technique: primitive data types, variables and constants, operators (arithmetic, assignment, increment, decrement, logical and relational); basic statements (Input and output); Boolean expressions; Control structures (conditional statements).

Course Code	Course Title	Pre-Requisite	Credit Hrs
121-CCS-3	Introduction to programming	111-CCS-3	3
The objective of this course is to cover the fundamental concepts of procedural programming. This course introduces the Java programming language and helps students develop basic problem-solving skills. Topics include elementary in programming, repetition statements, nested loops, methods, pass arguments to a method, method overloading, method abstraction, use of methods in the math class, arrays, common array operations, methods with array arguments and return value, search and sort operations on array.

Course Code	Course Title	Pre-Requisite	Credit Hrs
222-CCS-4	Object Oriented Programming	121-CCS-3	4
This course gives an introduction to object-oriented programming in Java; development of algorithms. Several central mechanisms of object-oriented programming will be covered, including use of classes, objects and references; use of arrays, String & Math classes; use of Java's class library. Inheritance, exception handling and file handling are the important programming concepts that are taken away from this course.

Course Code	Course Title	Pre-Requisite	Credit Hrs
251-CCS-3	Computer Organization and Architecture	-	3
This course is designed to familiarize the students with concepts of computer architecture and functionality. The course gives the knowledge of different types of data may be represented inside a computer, how the various computer components process the data, and how the operating system and the hardware cooperate to make computer operations possible. The course includes a presentation and discussion of generic principles of computer architecture and digital logic.

Course Code	Course Title	Pre-Requisite	Credit Hrs
231-CCS-4	Data Structures & Algorithms	222-CCS-4	4
The course develops the student's understanding and abilities when using advanced programming concepts and techniques in a wide variety of computer-science and real-world problems, with the aim of achieving an efficient implementation for solving a given problem. Thereby, the course enhances the programming skills of the students. Data Structures (Stacks, queues, Lists, Graph and trees), complexity analysis, recursive algorithms, searching & sorting algorithms and Hashing are described as abstract data types with their methods by training extensive examples and applications.

Course Code	Course Title	Pre-Requisite	Credit Hrs
223-CCS-3	Advanced Object Oriented Programming	222-CCS-4	3
This Course is designed to provide extensive hands-on experience in writing, compiling, and executing advanced topics of Java programing. Student will learn to build robust applications that use advance Java concepts. Java is known for reliability, maintainability, and ease of development. Its unique architecture enables the leaners to develop a single application that can seamlessly run across multiple platforms.

Course Code	Course Title	Pre-Requisite	Credit Hrs
341-CCS-3	Principles of Software Engineering	222-CCS-4	3
This course covers the main knowledge areas of software engineering such as basics of software development, software processes, requirement engineering and system modelling. Agile method, plan-driven and extreme programming processes are presented. UML models and some case studies is also discussed. The course describes also some methods for specifying software requirements.

Course Code	Course Title	Pre-Requisite	Credit Hrs
381-CCS-3	Operating Systems	231-CCS-4	3
This course is designed to provide the students with an overview of operating system basic concepts. It will begin with an overview of the structure of modern operating systems. The other specific topics that this course will cover are: process concept, algorithms for CPU scheduling, process synchronization and deadlocks. Also, it will introduce the core concepts of operating systems, such as file systems, principal and virtual memory management, input-output device management and mass storage structure.

Course Code	Course Title	Pre-Requisite	Credit Hrs
352-CCS-3	Microprocessor and Assembly Language	251-CCS-3	3
This course introduces microprocessors, instruction set of microprocessors, assembly language programming and machine language concepts. Internal communication structure, memory interface components, Input Output processors, Direct Memory Access technique are also discussed in this course. The role of interrupts and interrupt handling techniques are introduced. The students are given training in developing assembly language programs for simple problems during the theoretical and practical sessions.

Course Code	Course Title	Pre-Requisite	Credit Hrs
371-CCS-3	Data Communication and Computer Networks	222-CCS-4	3
This course is a detailed introduction to the basic hardware and software, architectural components for computer communications in local area networks. The components that are focused upon include understanding the basics of computer networks, switching, routing, protocols and system security.

Course Code	Course Title	Pre-Requisite	Credit Hrs
312-CCS-3	Image Processing	-	3
This course is designed to provide the students with an overview of Image processing principles. The course begins with an introduction to image processing and its applications, including the fundamental concepts of visual perception and image acquisition, the basic techniques of image manipulation, segmentation and coding, and a preliminary understanding of pattern recognition and computer vision applications.

Course Code	Course Title	Pre-Requisite	Credit Hrs
361-CCS-3	Artificial Intelligence	231-CCS-4	3
Artificial intelligence is Ubiquitous today. It is the type of adaptable intellect found in humans, a flexible form of intelligence capable of learning how to carry out vastly different tasks. This course teaches the basic concepts and algorithms such as heuristic search, planning and problem solving through AI concepts. This course also focuses on applied AI in the field of Natural Language Processing.

Course Code	Course Title	Pre-Requisite	Credit Hrs
324-CCS-3	Programming with Python	222-CCS-4	3
This course covers fundamental problem-solving concepts, tools and methodologies using Python programming language. Students will learn how to select an appropriate python data type and apply the most appropriate technical processes for a given problem. They will also learn how to develop python modular code which conforms to the basic principles and required practices of developing an application software with Python language, as Python language has an extensive application library and its effectiveness and popular as a modern programming language.

Course Code	Course Title	Pre-Requisite	Credit Hrs
373-CCS-3	Web Engineering	222-CCS-4	3
This course provides the basic learnings on Web Engineering fundamentals such as analysis modelling, design modelling, testing. Internet basics for web applications, technologies and tools for developing web applications, markup languages, styling, data description and transformation, Web services, client and server-side programming are also some take aways from this course.

Course Code	Course Title	Pre-Requisite	Credit Hrs
313-CCS-3	Game Development	222-CCS-4	3
This course focus on various components involved in the development of a computer game. The Course helps in the process of designing compelling worlds that immerse the player in interactive environments created from the imagination.

Course Code	Course Title	Pre-Requisite	Credit Hrs
314-CCS-3	Operations Research	231-CCS-4	3
Operations research (OR) has many applications in science, engineering, economics, and industry. This course teaches how to analyse the relevant factors of an issue and uses mathematical techniques to arrive at an optimal decision. It is an important course for any professional as it teaches to solve complex problems under uncertainty.

Course Code	Course Title	Pre-Requisite	Credit Hrs
462-CCS-3	Introduction to Machine Learning	361-CCS-3	3
Machine learning, a sub-discipline of computer science and a form of artificial intelligence (AI) that deals with the ability of the computers to learn and evolve without being programmed explicitly. It is solely focused on writing software which can learn from past experience.

Course Code	Course Title	Pre-Requisite	Credit Hrs
425-CCS-2	Programming Paradigms	324-CCS-3	2
The course covers the modern day concepts of conceptualizing and writing computer programs that the students will encounter in many computer science courses.

Course Code	Course Title	Pre-Requisite	Credit Hrs
432-CCS-3	Design and Analysis of Algorithms	231-CCS-4	3
The course covers the design and analysis of algorithms and it involves (a) finding an algorithm to solve the given problem, (b) proving, that the algorithm solves the problem correctly, (c) showing that the problem cannot be solved any faster, and (d) Implementing the algorithm. Designing an algorithm for a computational problem involves knowledge of the problem domain, a thorough knowledge of the data structures that are available and suitable and a good measure of creativity. This course concentrates on the above issues. The course will also cover useful algorithmic design techniques, and methods for analyzing algorithms.

Course Code	Course Title	Pre-Requisite	Credit Hrs
482-CCS-3	Parallel and Distributed Computing	381-CCS-3	3
This course gives the students an introduction to distributed and parallel processing along with Parallel and distributed architectures, models of distributed and parallel machines, distributed and parallel programming paradigms and models, performance analysis of parallel systems. Students are expected to develop distributed applications using latest technologies.

Course Code	Course Title	Pre-Requisite	Credit Hrs
414-CCS-3	Theory of Compiler	425-CCS-2	3
This course introduces topics included in compiler design such as lexical analysis, parsing, symbol tables and errors handling. A brief introduction to theory of computation is also given in this course.

Course Code	Course Title	Pre-Requisite	Credit Hrs
492-CCS-3	Project -1	491-CCS-0	3
Project phase I is the course in which students proposes project ideas and it will be scrutinized and approved by the concerned committee to proceed. In this course students do the requirement analysis and design the patterns needed for their proposed project. By the end of this course students would prepare a detailed specification with necessary architectural design of the software system that would be developed in project phase II. This course will also enable the students to improve their interpersonal skills and presentation skills.

Course Code	Course Title	Pre-Requisite	Credit Hrs
493-CCS-3	Project 2	492-CCS-3	3
This course gives the opportunity for the students to bring out their Programming skills by implementing the project ideas (project 1). This course enables the students to develop their inter personal skills such as teamwork and leadership qualities, improve students’ communication skills through the production of a professional report, a professional poster and to give two presentations on their work.

Course Code	Course Title	Pre-Requisite	Credit Hrs
463-CCS-3	Neural Network and fuzzy logic	361-CCS-3	3
This courses teaches how the network is meant to emulate the human brain structure in terms of its modelling, structure, and functionality. This means artificial neural networks mimic the way the human brain processes, stores, and retrieves information—learning along the way and becoming “smarter” over time. This course aims to provide an elaborate study on such artificial neural network.

Course Code	Course Title	Pre-Requisite	Credit Hrs
464-CCS-3	Knowledge Engineering and Experts System	361-CCS-3	3
This course is related to one of the largest area of applications of artificial intelligence is in expert systems, or knowledge based systems as they are often known. This type of system seeks to exploit the specialized skills or information held by of a group of people on specific areas. It can be thought of as a computerized consulting service. It can also be called an information guidance system. Such systems are used for prospecting medical diagnosis or as educational aids. They are also used in engineering and manufacture in the control of robots where they inter-relate with vision systems.

Course Code	Course Title	Pre-Requisite	Credit Hrs
442-CCS-3	Software Testing and Quality Assurance	341-CCS-3	3
The aim and objective of this course is to teach students the concepts and skills needed for SQA and Testing. Software quality assurance is viewed as an activity that runs through the entire development process. It encompasses activities and related techniques to ensure the implementation of appropriate functionality that satisfy the requirements/needs of its targeted client/users for the intended software system, product, or service as the case may be, both correctly and efficiently.

Course Code	Course Title	Pre-Requisite	Credit Hrs
443-CCS-3	Software Design and Architecture	341-CCS-3	3
This course covers the main knowledge areas of software engineering such as basics of software development, software processes, requirement engineering and system modelling. Agile method, plan-driven and extreme programming processes are presented. UML models and some case studies will be also discussed. The course describes also some methods for specifying software requirements.

Course Code	Course Title	Pre-Requisite	Credit Hrs
444-CCS-3	Software Project Management	341-CCS-3	3
This course covers the main knowledge areas of project management (time, cost, quality, scope, risk, human resources, communications, etc.) by focusing on software projects. Project planning, cost estimation (using COCOMO and FPs), earned-value analysis techniques and scheduling are presented. Software project Risk management will be also discussed. The course describes also some methods for resource allocation.

Course Code	Course Title	Pre-Requisite	Credit Hrs
491-CCS-0	Summer Training		3
All students need to complete summer training in a company and get trained in hardware, software and organizational management. The students are required to give a weekly progress report and a final progress report from the company and coordination with the supervisor of the training company regarding the final evaluation during the training period and make sure to send it to the department head. After completion of the training, each student should submit a training report and give a presentation about the training for evaluation and grading

Course Code	Course Title	Pre-Requisite	Credit Hrs
231-CIS-3	Database Management Systems	-	3
The course introduces basic database concepts to students and then provide details on relation database model, SQL, database designing (conceptual, logical and physical schema), relational algebra, and database application development. The practical part includes the implementation of concepts learned in theory and their practice.

Course Code	Course Title	Pre-Requisite	Credit Hrs
453-CIS-3	Network Security Fundamentals	371-CCS-3	3
We are living today in an era that involves interacting remotely with people, computers, and processes; since this connection is outside our control, data are at risk, where others can read, modify, and even disrupt communication, and hence the computer's assets will be affected. This course covers the security of computer networks. It is divided into eight parts. The first two part gives a brief introduction to network and information security. The third part presents the issue of distributing the secret key among unknown parties and how they it can be securely distributed. Data sent over the TCP/IP protocol were not safe and hence each application had to take care of security, hence in the Fourth Chapter TLS protocol is presented. Network Layer Security is explained in detail in Chapter 5 and 6, i.e. wireless network security and IP security. In the Final Chapter, security technologies used in network such as firewalls, IDS, and VPN are discussed.

Course Code	Course Title	Pre-Requisite	Credit Hrs
483-CIS-2	Computing Ethics	-	2
Computers and high-speed communication networks are transforming our world. These technologies have brought us many benefits, but they have also raised many social and ethical concerns. A thoughtful response to information technology requires a basic understanding of its history, an awareness of current information-technology related issues, and a familiarity with ethics. This course offers extensive and topical coverage of the legal, ethical, and societal implications of computer science and Information Technology. Students will learn legal and ethical issues of infringement of intellectual property, security risks, Internet crime, identity theft, etc. Students will gain an absolute foundation in ethical decision making for current and future business managers and computer professionals.

Course Code	Course Title	Pre-Requisite	Credit Hrs
373-CIS-3	Data Mining	361-CCS-3	3
This course is an introductory course on data mining. It introduces the basic concepts, principles, methods, implementation techniques, and applications of data mining, with a focus on data mining functions: description, association, classification, clustering, and web mining. The topics covers the data types, pre-processing techniques, association rule mining, clustering, classification and web mining along with data mining trends to determine patterns and optimization process. It provides the pathway to use software tools to mine in large data set.

Course Code	Course Title	Pre-Requisite	Credit Hrs
456 CIS -3	Security Incident Management	453-CIS-3	3
An Information System, connected (or not) to the Internet, is subject to attacks. Not all these attacks can be blocked by protection mechanisms such as firewalls, Antivirus etc. This course will prepare the students to manage attacks (incidents) before and after the attack's occurrence. The first chapter provides an introduction to incident response, followed by the process followed by the incident handler. Then from chapter 3 to 6, managing the incidents are explained.

Course Code	Course Title	Pre-Requisite	Credit Hrs
457 CIS -3	Cryptography	453-CIS-3	3
The course is devoted to the fields of cryptography that can be used to design and implement secure communicating systems for a variety of different needs and applications. Topics include classical ciphers, symmetric cryptosystems (DSA, AES) public key cryptosystems (RSA, Diffie-Hellman key exchange, ECC), digital signatures, User authentication and key management.

Course Code	Course Title	Pre-Requisite	Credit Hrs
459-CIS-3	Cyber Defense Technology	453-CIS-3	3
This course serves as a guide to the students to the most crucial security technologies in different context, such as system, infrastructure, cloud computing, network, wireless network and access control. The course presents up-to-date attacks and teaches students the used technologies for mitigating such attacks.

Course Code	Course Title	Pre-Requisite	Credit Hrs
332CIS-3	Advanced Database Management Systems	-	3
The course builds upon students’ basic knowledge of database modeling, design, SQL and application development to provide them the knowledge of advanced concepts to optimize their storage and retrieval performance. This course includes topics on database storage, query performance evaluation and optimization, transaction management, concurrency control, parallelism and distribution of data, and XML. The 1 credit hour lab part of the course requires students to develop a fully functional database application using Oracle database and Oracle Form developer, in addition to the practicing of knowledge gained in the theory part.

Course Code	Course Title	Pre-Requisite	Credit Hrs
486-CIS -3	Design Thinking	-	3
Design Thinking is defined as: mindset, process, and toolbox. As a mindset, Design Thinking is characterized by several key principles: a combination of divergent and convergent thinking, a strong orientation to both obvious and hidden needs of customers and users, and prototyping. As a process, Design Thinking is seen as a combination of a micro- and a macro-process. The micro-process involves: define the problem”, need finding and Synthesis, ideate, prototype and test. The macro-process consists of milestones manifested in prototypes that must fulfill defined requirements. As a toolbox, Design Thinking refers to the application of numerous methods and techniques from various disciplines: design, but also engineering, informatics etc. This course will introduce students to this rapidly growing field and equip them with some of its basic principles and tools as well as its general mindset. Students will learn concepts, techniques and tools involved in the design thinking process to understand the need to deal with various new solutions to complex business issues in entrepreneurship.

Course Code	Course Title	Pre-Requisite	Credit Hrs
444-CIS-3	Human Computer Interaction	-	3
Human-computer interaction is an interdisciplinary field that integrates theories and methodologies from computer science, cognitive psychology, design, and many other areas. The course is intended to introduce the student to the basic concepts of human-computer interaction. It will cover the basic theory and methods that exist in the field. Case studies are used throughout the readings to exemplify the methods presented and to lend a context to the issues discussed. The students will gain principles and skills for designing and evaluating interactive systems. Among the topics studied are the design and evaluation of effective user interaction designs, including principles and guidelines for designing interactive systems. User interaction development activities include requirements and task analysis, usability specifications, design, prototyping, and evaluation.

Course Code	Course Title	Pre-Requisite	Credit Hrs
458 CIS -3	Cloud Computing	-	3
Cloud Computing is a large-scale distributed computing paradigm which has become a driving force for information technology over the past several years. The exponential growth data size in scientific instrumentation/simulation and social media has triggered the wider use of cloud computing services. This course covers topics and technologies related to Cloud Computing and their practical implementations. You should explore different architectural models of cloud computing, the concepts of virtualization and cloud orchestration. Advanced cloud programming paradigms such as Hadoop’s MapReduce is also included in the course.

Course Code	Course Title	Pre-Requisite	Credit Hrs
424-CIS-3	Mobile Application Development	-	3
This course is designed to help students develop an understanding of mobile application development process and the mobile application development environments. Further they will exploit suitable strategies and tools for mobile application development and testing. Android will be used as a basis for teaching programming techniques and design patterns related to the development of standalone applications and mobile interfaces.

Course Code	Course Title	Pre-Requisite	Credit Hrs
476-CIS-3	Internet of Things Analytics and Security	-	3
The course first defines IoT and why IoT data processing is very different from typical big data analytics, with its unique requirements for data security, device identity, huge data volume, and real-time processing. The course reviews the challenges and current architectures of IoT data collection to the cloud. Major areas covered in this course are: Overview of Internet of Things; IoT architecture; IoT analytics for cloud; Data gathering and utilization; Data Science for IoT analytics and IoT privacy and security concerns and requirements at later stage.

Course Code	Course Title	Pre-Requisite	Credit Hrs
485-CIS-3	Organizational Behavior	-	3
Organizational Behavior (OB) is a field of study that explores the influence that individuals, groups, and organizational structures have on human behavior within organizations. OB course helps students to develop analytical skills necessary for identifying, diagnosing and solving behavioral problems at the workplace. Through this course, you will study behavior at the individual level in terms of perception, personality, motivation, learning, creativity, values, and attitude. The course will enhance the learning of human behavior at the collective level in terms of group dynamics, conflict, leadership and communication. In addition, the course covers the study of behavior at the level of the organization as a whole to cover topics such as organizational design, culture, and change.

Course Code	Course Title	Pre-Requisite	Credit Hrs
122CCE-3	Digital Logic	-	3
This course introduces the basic building blocks used in digital systems and logic design, in particular digital computers. It starts with a discussion of Numbering systems, Boolean algebra, Combinational logic: logic gates, minimization techniques, arithmetic circuits, multiplexers, decoders and modern logic devices such as field programmable logic gates. Finally, this course presents High Level HDL Representation for digital logic Circuits.

Course Code	Course Title	Pre-Requisite	Credit Hrs
132CCE-3	Electrical Circuits	-	3
Electrical circuits curse is an introductory course in Electrical Engineering, providing an introduction to simple electrical circuits as well as the technical skills to analyze such simple circuits. It is a course suitable for students pursuing further studies in electrical and computer engineering. This course includes: Introduction to signal types and their representation, Basic periodic waveforms: sine, triangular, square wave, DC signals, AC signals, Average and R.M.S. value of sinusoidal waves, Electric current, flow of electric charges in a metallic conductor, Ohm’s law, electrical resistance, electrical energy and power, Electrical resistivity and conductivity, Phasors: Complex analysis, phasors (Phasor forms, Converting between rectangular, polar and sinusoidal forms, Phasor relationships), Introduction to Nodes, Branch, and Loops, Kirchhoff’s Laws (KCL, KVL), series and parallel combinations of resistors, Star to Delta and delta to star transformations, AC elements (R, L, C), series and parallel combinations of impedances, Mesh Analysis (AC and DC circuits), Nodal Analysis (AC and DC circuits), Superposition and Thevenin and Norton theorems (AC and DC circuits), Principle and operation of DC & AC Generators and Motors, Single phase transformer.

Course Code	Course Title	Pre-Requisite	Credit Hrs
472CCS-3	Robotics	-	3
This course introduces students to the basics of robotics at the system level. The course covers robotics definition, history, types, uses, and laws of robotics. This course introduces the key components of a robot: Mechanical Structure of robotics (motors, Gears and chains, Pulleys and belts, Gearboxes), Sensors (vision, force, proximity, tilt), actuators (Hydraulic Motor, Pneumatic Cylinder, Stepper Motor, DC Motor, Servo Motor, Muscle Wire, Pneumatic Motor), and Hardware (controllers, storage, interface). The course discusses the robots applications: Industrial Applications of Robots, Robots in Space, Robots in Hazardous Environments, Medical Robots, Robots in Military, and Robots at Home. The design requirements for robotics parts. Future of robotics