Course description

COURSE DESCRIPTION

An in-depth treatment of the following software engineering topics: software engineering paradigms, requirements, specification, functional design, object-oriented design, user interface design, software verification and validation, and the maintenance and management of software engineering artifacts, as well as an introductory discussion of software reliability. Various phases of the software engineering process will be modeled using UML.

Textbooks

R.S. Pressman, Software Engineering: A Practitioner's Approach (6^th Edition), McGraw Hill, 2005

References

S. R. Schach, Object-Oriented and Classical Software Engineering (7th Edition), McGraw Hill, 2006

Prerequisites by Topic

• 
  Students are assumed to have taken discrete mathematics prior to this course
  
• 
  Knowledge of data structures and abstract data types (linked-lists, trees, graphs)
  
• 
  Ability to apply knowledge of algorithm analysis
  
• 
  Knowledge of the components in the traditional software life cycle
  
• 
  Ability to write and document medium sized programs
  
• 
  Previous experience with object-oriented programming
  
• 
  Some knowledge of finite state machines
  
• 
  Some understanding of formal grammars
  
• 
  Students are able to use UML diagrams to model software requirements
  
• 
  Students are familiar with the use of formal technical reviews
  
• 
  Students are able to write test cases for existing software requirements
  
• 
  Software engineering students have some experience using software engineering tools
  

Major Topics Covered in the Course

• 
  Software design process and life cycle models (4 hours)
  
• 
  Project management and process metrics (2 hours)
  
• 
  Software estimation and scheduling (4 hours)
  
• 
  Software reliability and risk assessment (2 hours)
  
• 
  Software requirements analysis (2 hours)
  
• 
  Analysis and design modeling (4 hours)
  
• 
  Software design and implementation (3 hours)
  
• 
  Object-oriented software engineering (3 hours)
  
• 
  User interface design and human computer interaction (8 hours)
  
• 
  Software quality assurance and product metrics (2 hours)
  
• 
  Software verification and testing (6 hours)
  
• 
  Software maintenance and configuration management (2 hours)
  
• 
  Computer-aided software engineering (2 hours)
  
• 
  Computing access and equity (2 hours)
  
• 
  Software ownership and intellectual property (2 hours)
  
• 
  Tests (6 hours)
  

Estimate CSAB Category Content

COURSE DESCRIPTION

A continuation of the formal development of the software engineering material begun in CIS 375. Topics covered include personal software process, team software process, formal methods, security, software architecture, software quality assurance, software fault tolerance, the evaluation of the effectiveness of human computer interaction, and software reliability.

Textbooks

W.S. Humphrey, PSP: A Self-Improvement Process for Software Engineers, Addison-Wesley, 2005

R.S. Pressman, Software Engineering: A Practitioner's Approach (6^th Edition), McGraw Hill, 2005

I. Sommerville, Software Engineering (8^th edition), Addison-Wesley, 2007

References

W.S. Humphrey, TSP: Coaching Development Teams, Addison-Wesley, 2006

W.S. Humphrey, TSP: Leading a Development Team, Addison-Wesley, 2005

S.R. Schach, Classical and Object-Oriented Software Engineering (7^th Edition), McGraw-Hill, 2006

PSP information online, www.sei.cmu.edu/tsp/psp.html

Dr. Joel Henry’s PSP Studio online, www.cs.umt.edu/RTSL/dsstud/psp/psps.htm

Prerequisites by Topic

• 
  Knowledge of data structures and abstract data types, such as linked lists, trees, and graphs.
  
• 
  Ability to apply knowledge of algorithm analysis
  
• 
  Knowledge of the components in the traditional software life-cycle
  
• 
  Ability to write and comment medium-sized programs
  
• 
  Previous experience with object-oriented programming
  
• 
  Some knowledge of finite-state machines
  
• 
  Some understanding of formal grammars
  

Major Topics Covered in the Course

• 
  User interface modeling, styles, and design (6 hours)
  
• 
  Software usability and accessibility (4 hours)
  
• 
  Web engineering (4 hours)
  
• 
  Personal software process (4 hours)
  
• 
  Team software process (2 hours)
  
• 
  CASE tools (2 hours)
  
• 
  Program verification and validation (4 hours)
  
• 
  Critical systems dependability, specification, and validation (4 hours)
  
• 
  Security engineering and security lifecycle (2 hours)
  
• 
  Cleanroom software engineering (2 hours)
  
• 
  Software process improvement and measurements (2 hours)
  
• 
  Software quality management and measurements (2 hours)
  
• 
  Software architecture (4 hours)
  
• 
  Component-based software engineering (2 hours)
  
• 
  System evolution, change, legacy systems (2 hours)
  
• 
  System reengineering (2 hours)
  
• 
  Social issues (2 hours)
  
• 
  Exams (4 hours)
  

Estimate CSAB Category Content

Systematic study of programming languages with regard to their implementation, structures, and use. Languages are compared with regard to their various data types, data structures, operations, control structures, programming environments, and ease of use for various programming problems.

Textbooks

E. Kinber and C. Smith, Theory of Computing: A Gentle Introduction, Prentice-Hall, 2001

R. Sebesta, Concepts of Programming Languages, Addison Wesley, 2007

References

Language manuals for various programming languages

Prerequisites by Topic

• 
  Good familiarity with at least one high-level programming language
  
• 
  Some knowledge of assembly language
  
• 
  Maturity in programming
  

Major Topics Covered in the Course

• 
  Historical background and evolution of programming languages (2 hours)
  
• 
  Formal language concepts (6 hours)
  
• 
  Language translation, compilation vs. interpretation (2 hours)
  
• 
  Syntax and semantics (4 hours)
  
• 
  Scalar and structured data types and related concepts (4 hours)
  
• 
  Abstract data types and data abstraction (4 hours)
  
• 
  Categories of languages; e.g. applicative, functional, mark-up, scripting,
  

• 
  Constants, variables, expressions, assignment (3 hours)
  
• 
  Control structures and exception handling (3 hours)
  
• 
  Subprograms, parameter passing (4 hours)
  
• 
  Concurrency in high level languages (4 hours)
  
• 
  Scripting languages (4 hours)
  
• 
  Trends in language design (2 hours)
  
• 
  Case studies of specific languages (4 hours)
  
• 
  Exams (4 hours)
  

Estimated CSAB Category Content

COURSE DESCRIPTION

How to design efficient algorithms. Topics include asymptotic analysis, average-case and worst-case analysis, recurrence analysis, amortized analysis, classical algorithms, computational complexity analysis, NP-completeness, and approximation algorithms. In addition, the course investigates approaches to algorithm design including: greedy algorithms, divide and conquer, dynamic programming, randomization, and branch and bound.

Textbooks

J. Kleinberg and E. Tardos, Algorithm Design, Addison-Wesley, 2006

References

A.V. Levitin, Introduction to the Design and Analysis of Algorithms (2^nd Edition), Addison-Wesley, 2006

Prerequisites by Topic

• 
  Data structures
  
• 
  Discrete mathematics
  
• 
  Knowledge of a high-level programming language
  

Major Topics Covered in the Course

• 
  Introduction, analysis (3 hours)
  
• 
  Brute force, divide-and-conquer (3 hours)
  
• 
  Decrease-and-conquer, transform-and-conquer (3 hours)
  
• 
  Dynamic programming (4 hours)
  
• 
  Greedy (4 hours)
  
• 
  Network flow (3 hours)
  
• 
  Iterative improvement (3 hours)
  
• 
  Backtracking (3 hours)
  
• 
  Branch-and-bound (3 hours)
  
• 
  Limitations on algorithms (lower-bound theory) (3 hours)
  
• 
  P, NP (3 hours)
  
• 
  Exams (6 hours)
  

COURSE DESCRIPTION

An introduction to database system concepts and techniques. Topics covered include: database environment, ER model, relational data model, object-oriented databases, object-relational databases, database design theory and methodology, database languages, query processing and optimization, concurrency control, database recovery, and database security.

Textbooks

R. Elmasri and S.B. Navathe, Fundamentals of Database Systems (5^th Edition), Addison-Wesley, 2007

References

R. Sunderraman, ORACLE 9i Programming: A Primer, Addison-Wesley, 2004

Prerequisites by Topic

• 
  Data structures
  
• 
  Discrete mathematics
  
• 
  Proficiency in programming using C/C++/Java
  

Major Topics Covered in the Course

• 
  Database concepts and environment (3 hours)
  
• 
  ER model and Enhanced ER model (4 hours)
  
• 
  Relational data model concepts (3 hours)
  
• 
  Relational database languages (relational algebra, relational calculus, SQL, QBE) (10 hours)
  
• 
  Functional dependencies and normalization for relational databases (6 hours)
  
• 
  Object-oriented databases (4 hours)
  
• 
  Object-relational and extended relational database systems (4 hours)
  
• 
  Query processing and optimization (5 hours)
  
• 
  Transactions, concurrency control and database recovery (6 hours)
  
• 
  Database security and authorization (2 hours)
  
• 
  Project presentations (2 hours)
  
• 
  Exams (7 hours)
  

COURSE DESCRIPTION

The application of artificial intelligence techniques in building decision support and expert systems for management and other applications. Topics include fundamentals of artificial intelligence, knowledge representation and knowledge processing, tools for building expert systems (logic programming, expert shells), decision support system design (modeling and simulation), expert system design (knowledge engineering, learning).

Textbooks

E. Turban, J.E. Aronson, and T.-P. Liang, Decision Support Systems and Intelligent Systems (7^th Edition), Prentice-Hall, 2004

References

Lecture notes

Prerequisites by Topic

• 
  Basic knowledge of database systems
  
• 
  Data structures
  
• 
  Abstract data types
  

Major Topics Covered in the Course

• 
  The decision-making process (3 hours)
  
• 
  Systems and models (3 hours)
  
• 
  Types of decision support systems (3 hours)
  
• 
  A framework for the development of decision support (3 hours)
  
• 
  The support of decision-making functions (3 hours)
  
• 
  Building and implementing decision support systems (3 hours)
  
• 
  Group decision support systems (3 hours)
  
• 
  Artificial intelligence and expert systems (3 hours)
  
• 
  Expert systems applications (3 hours)
  
• 
  The structure of expert systems (3 hours)
  
• 
  Building Expert Systems (3 hours)
  
• 
  Integrating decision support and expert systems (3 hours)
  
• 
  Exams (5 hours)
  

COURSE DESCRIPTION

An introduction to the principles of information systems analysis and design and their role in business organizations. Topics include Systems Development Life Cycle (SDLC), using CASE (Computer Aided Software Engineering) tools for systems design and analysis, prototyping, Rapid Application Development (RAD), extreme programming, quality assurance through software engineering, and object-oriented systems design and analysis using UML (Unified Modeling Language). Participation in a major design project is a requirement for this course.

Textbooks

K.E. Kendall and J.E. Kendall, Information Systems Analysis and Design (6th Edition), Prentice-Hall, 2005

References

Lecture notes

Prerequisites by Topic

• 
  Data structures.
  
• 
  Database concepts
  
• 
  Software engineering concepts
  

Major Topics Covered in the Course

• 
  Interviewing (8 hours)
  
• 
  Prototyping (2 hours)
  
• 
  Data Flow Diagrams (12 hours)
  
• 
  Data Dictionaries (6 hours)
  
• 
  Preparing Process Specifications and Structured Decisions (8 hours)
  
• 
  Preparing the Systems Proposal (2 hours)
  
• 
  Designing Databases (6 hours)
  
• 
  Designing Effective Output and Input (2 hours)
  
• 
  Object-Oriented Systems Analysis and Design Using UML (4 hours)
  
• 
  Two exams (4 hours)
  

Topics include web-based information systems, e-commerce, computer supported collaborative work, workflow systems, data mining, and data warehousing. Participation in a major design project is a requirement of this course.

Textbooks

Readings provided by the instructor

References

Readings provided by the instructor

Prerequisites by Topic

• 
  Analysis of information systems requirements.
  
• 
  Modeling tools of Structured Analysis
  
• 
  Information systems design
  
• 
  Information systems implementation
  

Major Topics Covered in the Course

• 
  XML (8 hours)
  
• 
  Web databases (6 hours)
  
• 
  Web services (10 hours)
  
• 
  Ontology and RDF (10 hours)
  
• 
  Data integration (5 hours)
  
• 
  Information Retrieval (4 hours)
  
• 
  Data Warehousing (4 hours)
  
• 
  Data mining (4 hours)
  
• 
  Exam (3 hours)
  

Estimate Curriculum Category Content (Semester hours)

This course is a continuation of CIS 4261, providing students with breadth and depth in advanced information systems. Topics include web-based information systems, XML, web databases, ontology, information retrieval, system integration, B2B (Business-to-Business) e-commerce, web services, data mining, and data warehousing. Participation in major design projects is a requirement for this course

COURSE DESCRIPTION

The technical and management aspects of computer networks and distributed systems. Topics include: communication hardware (transmission media, communication controllers), communication protocols (asynchronous, synchronous, SDLC), network architectures (SNA, DNA, ISO), local area networks, distributed database systems, network planning and management.

Textbooks

L. Peterson and B. Davie, Computer Networks: A Systems Approach (4^th Edition), Morgan Kaufman, 2007

References

A.S. Tanenbaum, Computer Networks (4^th Edition), Prentice-Hall, 2003

Prerequisites by Topic

• 
  Students are assumed to have taken the Data Structures and Algorithm Analysis course, the Probability and Statistics course as well as the Computer Organization and Assembly Language course prior to this course.
  
• 
  Ability to understand and manipulate binary numbers
  
• 
  Ability to understand and use data structures such as queues and graphs and understand related algorithms
  
• 
  Ability to solve simple algebraic equations
  
• 
  Ability to write and document programs that involve:
  
  • 
    Iterations (while and for loops)
    
  • 
    I/O (input from file or keyboard and outputs to the screen or another file)
    
  • 
    Functions/procedures and parameter passing (by value and by reference)
    
  • 
    Use of arrays/lists and queues
    

Major Topics Covered in the Course

• 
  Introduction (2 hours)
  
• 
  Performance Metrics (2 hours)
  
• 
  OSI model and Internet Architecture (2 hours)*
  
• 
  Transmission Media (2 hour) *
  
• 
  Data Encoding and Framing (2 hours)
  
• 
  Error Detection (2 hours) ⁺⁺
  
• 
  Reliable Transmission, Sliding Window Algorithm (2 hours)
  
• 
  Ethernet (2 hours)
  
• 
  Token Rings, FDDI (2 hours)
  
• 
  Wireless LAN and Bluetooth (2 hours)
  
• 
  Circuit Switching (2 hours)
  
• 
  Packet Switching (3 hours)
  
• 
  Examples of Packet Switching Networks: Bridges and ATM (2 hours)
  
• 
  Internet Protocol (4 hours)
  
• 
  Routing Protocols (4 hours)
  
• 
  IPv6 and NAT (2 hour)
  
• 
  Transport Protocol (4 hours)
  
• 
  DNS (2 hour)
  
• 
  Socket Programming (5 hours)
  
• 
  Network Security (2 hours)
  
• 
  Distributed Systems (2 hours)
  
• 
  Recent Trends/Examples (2 hours)
  
• 
  Exams (6 hours)
  

Estimate CSAB Category Content

The study of technologies used to design and implement multimedia websites. Topics include web servers, HTML, CGI, scripting languages, Java applets, back-end database connectivity, web security, multimedia, XML, web services, .NET, semantic web.

Textbooks

M. Lutz and D. Ascher, Learning Python (2^nd Edition), O’Reilly & Associates, 2004

H.M. Deitel, P.J. Deitel, and A.B. Goldberg, Internet and World-Wide Web: How to Program (3^rd Edition), Prentice-Hall, 2003

References

T. Negrino and D. Smith, JavaScript and Ajax for the Web (7^th Edition), Peachpit Press, 2008

Prerequisites by Topic

• 
  Students are assumed to have taken discrete mathematics prior to this course.
  
• 
  Students are assumed to have taken technical writing prior to this course
  
• 
  Knowledge of data structures and abstract data types
  
• 
  Knowledge of rapid prototyping methodologies
  
• 
  Previous experience with both object-oriented programming and object-oriented design
  
• 
  Ability to apply the principles of computer-human interaction and user interface design
  
• 
  Some knowledge of software production management techniques
  

Major Topics Covered in the Course

• 
  Review of HTML (3 hours)
  
• 
  Ethics and Legal Issues on the Internet (2 hours)
  
• 
  Introduction to Perl (3 hours)
  
• 
  CGI Programming (3 hours)
  
• 
  Forms and Client Side CGI (3 hours)
  
• 
  User Interface Design (3 hours)
  
• 
  Introduction to Javascript (3 hours)
  
• 
  Multimedia Design (2 hours)
  
• 
  Basic Java Programming (6 hours)
  
• 
  Server Side CGI (3 hours)
  
• 
  ODBC and Database Connectivity (3 hours)
  
• 
  Streaming Media (3 hours)
  
• 
  Security for Internets and Intranets (2 hours)
  
• 
  Project Presentations (5 hours)
  

This course presents the main functions of an operating system as a manager of resources, including file systems, disk and storage, CPU and memory. The concepts of process and thread, synchronization mechanisms, scheduling strategies and deadlock detection/avoidance are covered in detail, along with an introduction to protection and security and distributed systems.

Textbooks

References

Prerequisites by Topic
Major Topics Covered in the Course

Estimate Curriculum Category Content (Semester hours)

COURSE DESCRIPTION

Provides a broad-spectrum introduction to the fundamental principles of computer and network security. Topics will include security policies, models and mechanisms for confidentiality, integrity and availability, access control, authorization, cryptography and applications, threats and vulnerabilities in computer networks, key management, firewalls and security services in computer networks.

Textbooks

Readings provided by the instructor

References

W. Stallings, Cryptography and Network Security (3^rd Edition), Prentice-Hall, 2002

M. Bishop, Introduction to Computer Security, Addison-Wesley, 2005

Course Outcomes

Relationship between Course Outcomes and Program Outcomes

Prerequisites by Topic

• 
  Information and security assurance lifecycle (3 hours)
  
• 
  Contributing factors to intrusions: assets, vulnerabilities and threats, and risk assessment (3 hours)
  
• 
  Security policy and model (2 hours)
  
• 
  Access and flow control (4 hours)
  
• 
  Cryptography (7 hour)
  
• 
  Key management (2 hours)
  
• 
  Authentication and digital signatures (3 hours)
  
• 
  Firewall design and network security (3 hours)
  
• 
  Network security and intrusion detection (3 hours)
  
• 
  Intrusion detection and reaction (3 hours)
  
• 
  IT governance using COBIT and VALIT ( 3 hours)
  
• 
  Presentation of student projects (3 hours)
  
• 
  Exams (6 hours)
  

This course aims at assisting graduate students with engineering or computer science background to understand and develop engineering approaches for assuring security and dependability of computer and network information systems. This course especially focuses on modeling and analysis for information security and assurance, including prevention, detection and assessment of computer and network intrusions.

The course will provide a broad-spectrum introduction of the fundamental principles of computer and network security. Topics will include security policies, models and mechanism for confidentiality, integrity and availability, access control, authorization, cryptography and applications, threats and vulnerabilities in computer networks, key management, firewalls and security services in computer networks.

1. 
   Cryptography and Network Security, Third Edition, William Stallings, Prentice Hall, 0-13-091429-0
   
2. 
   Introduction to Computer Security, Matt Bishop, Addison Wesley, 2005, 0-321-24744-2
   
3. 
   Reading materials
   

Course Website