Curriculum for the Bachelor Degree in Computer Information Systems (CIS)

Transcription

1 Curriculum for the Bachelor Degree in Computer Information Systems (CIS) The curriculum for the B.Sc. degree in Computer Information Systems (CIS) consists of (2) credit hours distributed as follows:- 2 4 Requirements University Requirements Compulsory Elective Faculty Requirements Specialization Requirements Compulsory Elective Supportive Specialization Requirements Credit Hours (Cr.H.)

2 799 Curriculum for the Bachelor Degree in Computer Information Systems (CIS) First: University Requirements (27 Cr. H.) A. Compulsory Requirements (2 Cr. H.) Title Computer Skills () Arabic () Arabic (2) English () English (2) Military Sciences Patriotic Education Cr. H. 2 Weekly Hours Lecture Lab Prerequisite B. Elective University Requirements (6 Cr. H.) The student is allowed to select (6 Cr. H.) from the university elective courses other than the courses offered by his faculty Title Communication Skills Educational Psychology Jordanian Society Sport for All Islamic Culture Administration & Economic Concepts Agriculture in Jordan Environment and Society Cr. H. 2 CIS

3 799 Second: Faculty Requirements (2 Cr. H.) Title Calculus () Calculus (2) General Physics for IT General Physics Lab. For IT Object Oriented Programming Cr. H. Weekly Hours Lecture Lab Prerequisite * Object Oriented Programming Lab 2272* 22 8 * : or parallel Probability & Statistics Computer Skills (2) Third: Specialization Requirements (85 Cr. H.) A. Compulsory Requirements (7 Cr. H.) Title Cr. H. Weekly Hours Lec. Lab. Prerequisite Java Programming Java Programming Lab Data Structures () Data Structures Lab () Digital Logic Digital Logic Lab Database Systems () Database Systems Lab () Visual Programming Visual Programming Lab Web Applications Programming Web Applications Programming lab Algorithms Theory () Operating Systems Computer Networks Computer Networks Lab * * * * * * CIS

4 System Analysis and Design Software Engineering Information Retrieval Systems Management of Networks Wireless Networks Database Management Systems Information Security Data Warehousing Data Mining Intelligent Systems Graduation Project Field Training Cr. H. 9 Cr. H. * : or parallel B. Elective Specialization Requirements (2) Cr. H. to selected from the following list: Title Cr. Hr. Weekly Hours Lec. Lab. Prerequisite Database Systems (2) Image Processing Algorithms Theory (2) Computer Organization & Architecture ASDddddaArchitecture Web Engineering and Design aaararchitecture Data Structures (2) Architecture Architecture Geographical Information Systems E-Commerce Systems Pattern Classification and Clustering Multimedia Special Topics in Computer Information Systems CIS

5 799 Guidelines for the bachelor degree in Computer Information Systems First Semester Name General Physics for IT General Physics Lab for IT Calculus () Arabic () Computer Skills () English () First Year C.H Second Semester Name Probability and Statistics Calculus (2) Computer Skills (2) Patriotic Education English (2) C.H. 5 Second Year First Semester Second Semester -- Name University Elective C.H. 825 Name Java Programming C.H. 82 Object Oriented 826 Programming Java Programming Lab Object Oriented 824 Programming Lab 82 Data Structures () 822 Digital Logic 822 Data Structures Lab () 824 Database Systems () 52 Arabic (2) 845 Information Retrieval Systems 824 Database Systems Lab () 822 Digital Logic Lab 842 System Analysis and Design CIS

6 First Semester Name Web Applications Programming Computer Networks Computer Networks Lab Algorithms Theory () Database Management Systems Web Applications Programming lab Data Warehousing Third Year C.H Second Semester Name Visual Programming Visual Programming Lab University Elective Operating Systems Software Engineering Data Mining C.H First Semester Name Specialization Elective Wireless Networks Intelligent Systems Field Training Military Science Forth Year C.H Second Semester Name Specialization Elective Specialization Elective Specialization Elective Management of Networks Information Security Graduation Project C.H. 8 6 CIS

7 799 Description for Bachelor Degree in Computer Information Systems 84 Algorithms Theory () (-) Definition of algorithms, algorithm analysis, techniques for measuring program performance, introduction to complexity analysis, asymptotic notations, divide and conquer algorithms (merge sort, quick Sort, binary search, strassen matrix multiplications, selection problem, writing recurrences, solving recurrences using master method), graph algorithms (basic terminologies, graph representations, graph traversal algorithms, topological sort algorithms, minimum spanning tree, Prim's and Kruskal's algorithms). 8 Computer Networks (-) Open system interconnection (OSI) reference model, TCP/IP reference model, physical layer, data link layer, network layer, transport layer, session layer, presentation layer, applications layer, LAN architectures, WAN architectures, network design, network management and network security. 8 Computer Networks Lab (-) Practical applications to cover the theoretical topics discussed in computer networks course. 842 Computer Organization & Architecture (-) Internal structure and operation of modern computer systems, Design and operation of the system bus, Design and operation of Arithmetic, Logic, and Shift Units, Control Unit: microprogrammed vs. hardwired control, CISC and RISC architectures, Pipelining, cache memory and memory hierarchies, Interrupts and I/O structures. 55 Computer Skills () (-6) Components of computers, basic concepts of information technology (IT), the use of personal computers and common computer applications at adequate level of competence, hardware and software of computers, commonly used software general applications (operating systems, word processing, spreadsheets, presentation and database software), brief introduction to communication (Internet, , world-wide-web, etc.). 8 Computer Skills (2) (2-) Basics of programming, algorithm development using top-down design with syntax and semantics of the C++ programming language, creating, compiling and executing C++ programs, primitive data types, operations, control structures, procedures and functions, arrays and classes. 82 Data Structures () (-) Introduction to data structures, problem specification and program design, analysis, testing, verification, and correctness of algorithms, logical and physical representation of data, data 7 CIS

8 799 structure operations, linked lists, queues, stacks, searching and sorting, tree data structures, this course is taught based on C++ programming language. 822 Data Structures Lab () (-) Review of C++ programming language and programming environment, primitive and userdefined data types, classes, stacks, queues, linked lists, searching and sorting, binary trees, binary search trees. 824 Database Systems () (-) Basic concepts and terminology, database, database administrator, database management systems, characteristics of the database approach, the three level-schema architecture, data independence, the entity relationship model, notations and concepts, the relational model (concepts, constraints and operations), relational algebra, ER to relational mappings, the SQL language, functional dependencies and normalization. 824 Database Systems Lab () (-) Oracle database architecture, review of the ER model, ER diagrams, creating tables, modifying tables, primary keys, unique fields, linking tables and foreign keys, SQL language, populating tables and the INSERT statement, the SELECT statement, the UPDATE statement, the DELETE statement, stored procedures, database views, user management. 822 Digital Logic (-) Numbering systems, boolean algebra, logic algebra, basic logic gates, minimization of logic functions, combinational logic: adders, subtractors, encoders and decoders, multiplexers and demultiplexers, sequential logic: flip-flops, counters, registers and clocked sequential circuits. 822 Digital Logic Lab (-) Review of the binary numbering system, the basic logic operations, logic gates, the AND, OR, NOT, XOR, and XNOR gates, combinational logic design, gates minimization, combinational logic design using, decodes, multiplexers. 847 Field Training 6 (-) Through this course, students are to apply, in the real world, what they have learned during the first three years of their study in the University. 825 Java Programming (-) Introduction to Java, the Java programming environment, variables, primitive data types, expressions, control constructs, strings in Java, arrays and vectors, Hash tables, files and I/O in Java, The Java AWT, components, events, layout managers, improved GUI libraries, threads, synchronization, Java intervals, Sockets, writing a server and a client. 8 CIS

9 Java Programming Lab (-) The Java syntax, compiling and running Java programs, printing output to console, primitive data types, mathematical expressions and mathematical operators, datatype promotion and casting, logical operators, relational operators, control statements, the ternary operator, looping 82 Object Oriented Programming (-) Object-oriented (OO) programming environment, OO building blocks, input/output, loops, decisions, functions, arrays and strings, data structures, encapsulation, advanced variables, object oriented programming, useful OO features, classes and objects, inheritance, polymorphism, method overloading, handling exceptions, thread programming and multithreading, this course is taught based on C# language. 824 Object Oriented Programming Lab (-) Practical applications to cover the theoretical topics discussed in Object Oriented Programming course. 822 Operating Systems (-) Basic concepts and mechanisms of modern operating systems, history of operating systems, computer and operating system structures, basic issues in concurrency, thread management, deadlock control, synchronization, scheduling, memory management, process management. 847 Graduation Project (-) The student is expected to put into action his knowledge gained from the different courses in this study plan through a graduation project. 84 Software Engineering (-) Principles and practices of software engineering, software quality concepts, process models, software requirements analysis, design methodologies, software testing and software maintenance, hands-on experience in building a software system using the waterfall life cycle model in the lab environment, software development life cycle deliverables, the requirements, specification and design documents, the system code, test plan, and user manuals. 842 System Analysis and Design (-) Overview, system concepts, system development life cycle, system analysis, preliminary investigation & information gathering, feasibility study & cost/benefit analysis, structured analysis, system design, introducing system design, system design activities, system implementation, system testing and quality assurance, implementation and software maintenance. 9 CIS

10 Database Management Systems (-) Introduction to databases and database management systems (DBMS), relational algebra; E-R diagrams; normalization, SQL, Query-by-Example, views, stored procedures, triggers, assertions, indexing and hashing. 826 Information Security (-) The concepts and issues related to securing information systems, the development of policies to implement information security controls, data integrity, data privacy, data security, information security (IS) perspectives, legal issues, technical tools and methods, social and ethical concerns in IS, information security risks, creating an information security policy, implementing and enforce IS policies. 82 Management of Networks (-) Introduction to types of network operating systems, case study of one of the network operating systems such as Windows and Linux, network hardware and software configuration, network services and their configuration, network security policy, privileges and permissions, file system management, system backup, domains and domain controller, virtual private networks. 82 Wireless Networks (-) Introduction to wireless technology, understanding radio frequency communication, infrared and Bluetooth. Wireless Personal Area Networks (WPAN), Wireless Local Area Networks (WLAN), and Wireless Wide Area Networks (WWAN), physical layer standards, medium access control, building and securing WLAN, Wide Area Networks including cellular networks and cellular data networks Geographical Information Systems (-) Introduction to GIS, GIS Applications, History of development of GIS, GIS techniques and technology, Data representation is GIS, Projections, coordinate systems and registration; Spatial analysis with GIS, Graphic display techniques, Recent GIS developments, Web mapping Adding the dimension of time to maps E-Commerce Systems (-) Introduction to e-commerce, e-commerce business models and concepts, the Internet: e- Commerce Infrastructure, building e-commerce web site, e-commerce website evaluation and usability testing, personalization and customization, online security and payment systems, e- commerce marketing concepts, e-commerce marketing communications, ethical, social, and political issues in e-commerce, B2B e-commerce, supply chain management and collaborative commerce Pattern Classification and Clustering (-) Introduction to computational methods for classification and clustering of high-dimensional data, classification and clustering fundamental concepts, decision tree learning, parzen windows, principal components, Fisher's discriminates, feature selection, Bayesian classifiers, statistical clustering, competitive learning, non-linear regression, and model selection, Hidden Markov models, support vector machines. CIS

11 Human-Computer Interaction (-) Designing, building, and programming graphical user interfaces, human-centered software evaluation, human-centered software development, HCI aspects of multimedia systems and Web-based systems, understanding human behavior with interactive objects, developing and evaluating interactive software using a human-centered approach, HCI design issues with multiple types of interactive software Intelligent Systems (-) Introduction to intelligent systems, learning paradigms, supervised and unsupervised learning, decision trees, linear classifiers, perceptron and SVM, Naïve Bayes classifier, basics of clustering analysis, K-mean clustering algorithms, hierarchical clustering algorithms Data Warehousing (-) Data Warehousing (DW) basic concepts, fundamental issues of DW, techniques for designing a data warehouse or data mart, phases and tasks of the data warehouse design process, business modeling, entity relationship diagramming, dimensional modeling, physical modeling, Warehouse metadata management. 826 Data Mining (-) Basic concepts behind data mining (DM) (knowledge discovery in databases), DM applications, DM techniques and models, ethics and privacy issues in data mining, main data mining methods, data warehousing, data cleaning, clustering, classification, association rules mining, recent techniques for web mining. 87 Visual Programming (-) Introduction to programming languages, object-oriented programming languages, event-driven programming, properties and methods, construction of forms, form controls, toolboxes, designing and implementing user s menus and toolbars, sounds and multimedia, visual developing environment, database and Internet connectivity. 88 Visual Programming Lab (-) Practical applications to cover the theoretical topics discussed in visual programming course. 89 Web Applications Programming (-) Introduction to a language that is specialized in Internet applications, Web-based forms, validation, basic GUI-components, web-based database connectivity. This course is taught based on ASP,NET, ADO.NET, XML technologies. CIS

12 799 8 Web Applications Programming Lab (-) Practical applications to cover the theoretical topics discussed in Web application programming course. 846 Algorithms Theory (2) (-) Algorithm analysis, recurrences, solving recurrences (master method and iteration method), greedy algorithms, dynamic programming, string matching, NP-completeness. 87 Data Structures (2) (-) Advanced data structures, binary search tree (BSTs), balanced BSTs, AVL trees, splay trees, one-dimensional and multi-dimensional range searching techniques, Hash tables and hashing function, priority queues, string data structures, graphs. 844 Database Systems ( 2) (-) Advanced concepts in the design and implementation of database systems, query optimization, concurrency control, recovery, transaction processing, distributed databases, web and semistructured data. 847 Image Processing (-) Human visual system, illumination modeling, image acquisition, image enhancement in spatial and frequency domains, color image processing, image compression and analysis, image segmentation, morphological image processing, object recognition, image Restoration. 845 Information Retrieval Systems (-) Principles of information retrieval (IR), IR application to information systems and services, models of user information seeking behavior, human information processing and their relationship to retrieval models in information systems; IR techniques; document classification, evaluation techniques of IR systems, handling of large data collections. 848 Multimedia (-) This course is an introduction to the major topics related to multimedia, survey of hardware and software, multimedia programming, multimedia and the Internet, text encoding, formatting, storage and distribution, still images, image sensors, optical illusion, image resolution, pixel neighborhood relations, video coding, digital broadcasting, video compression standards, animation, digital audio signals, and video conferencing E-Commerce Systems (-) Models for E-business, Customer Behavior Models, E-Business Functions, Performance Models, Service Time and Demand Queues, Performance Laws, Queuing Networks, Cost of Security (Payment Systems, Cryptography, Firewalls). 2 CIS

13 Pattern Classification and Clustering (-) The theory of pattern classification and clustering (PCC), Successful PCC techniques: maximum-likelihood, Bayesian and Parzen window estimation, k-nearest-neighbor algorithm, multi-layer neural networks, hidden Markov models, Bayesian networks, and decision trees. PCC foundations from statistics and computational learning theory; theory of regularization, resampling techniques Special Topics in Computer Information Systems (-) Topics of popular and accelerated interest, selected from the CIS field, topics may vary in different course offerings. This course cannot be repeatedly taken by the same student more than one time. 846 Web Engineering and Design (-) General concepts of the Internet and Intranet technology, The World Wide Web, TCP/IP and web design languages (HTML, CSS, JavaScript, and ASP), applications of web engineering and design in developing solutions in education, economics and E-business Neural Networks and Genetic Algorithms (-) Introduction to Artificial Neural Network (ANN) and Genetic Algorithms (GAs), theory and applications of ANNs and Gas, historical background of ANNs, neurons, comparison between artificial neuron and natural neurons in human brain, a model of single neuron, network structure, activation functions, perceptron NN, The perceptron learning rule, back-propagation NNs, evolutionary algorithms and GAs, applications of GAs, computational model of GAs, GA operations, termination criteria, solving some problems using ANNs and GAs Simulation and Modeling (-) Simulation models, discrete and trace-driven simulations, data collection and analysis, random number generators, analysis of simulation output, optimization of simulators, analytic modeling, queuing theory, workload characterization. 24 General Physics for IT (-) Vectors, equations of motion, Newton's laws and applications, work, work and energy, electric force, electric field, electric flux, Gausses law and applications, potential difference and equipotential surfaces, electric potential due to point charges, energy stored in a system of point charges, capacitors, combination of capacitors, energy stored in a charged capacitor, electric current, resistance and Ohm's law, electrical energy and power, electromotive force, combination of resistances, Kirchhoff's laws, RC circuit, magnetic field, magnetic force on a charged particle, magnetic force on a current carrying conductor, Biot- Savart law, Amperes law, applications. CIS

14 General Physics Lab. For IT (-) Significant figures and errors, measurements and uncertainty, vectors (equilibrium of forces), friction, conservation of energy, Galvanometer, Ammeter and Voltmeter, electric field mapping, Ohm's law, electric equivalent of heat, potentiometer, Kirchhoff's rules, parallel plate capacitor, RC circuit. 4 CIS