H0000

The objective of this course is to analyze data and use methods of statistical inference in making business decisions. This course will focus on the application of fundamental concepts covered in Probability and Decision Making to the problem of drawing inferences from data on observed outcomes. Topics covered during the first part of the course will include statistical sampling and sampling distributions, point estimation and confidence intervals, hypothesis testing, and correlations among variables. The second part of the course will focus on multivariate analysis, with special attention paid to the inferences that may draw with respect to prediction and causality. Microcomputer statistical packages support the course content.

This course is concerned with the use of Database Management Systems (DBMS) to solve a wide range of information storage, management and retrieval problems, in organizations ranging from large corporations to personal applications, such as research data management. The course combines the practical aspects of DBMS use with more theoretical discussions of database design methodologies and the "internals" of database systems. The course will give the student a basic overview of Relational Database Systems and Relational Database Design. The student will acquire a working knowledge of Microsoft ACCESS and the ISO standard SQL language. Students will work individually on a series of small projects, and one larger project encompassing all phases of database design and implementation.

This course provides an overview of security issues in computer networks. Basic concepts of computer security will be introduced and illustrated by means of case studies. Topics to be covered include: risk analysis and security planning; access controls; program security in relation to malicious code such as Trojan horses, viruses, and worms; security policies and models; trusted systems and the TCSEC (Orange Book); cryptography and hashing; encryption-based protocols; authentication/PKI and network security.

Managerial economics integrates microeconomic theories, statistics inference and other quantitative methods into a well-grounded subject so as to make optimum managerial decisions in a dynamic business world. It includes the theory of optimization, case studies and business strategies in managerial decision-making. Major topics include pricing strategies, estimating and forecasting market demand/supply, optimal production and input usages as well as long range planning for modern corporations.

The purpose of this course is to prepare students for future management and leadership positions, including developing the personal skills that are needed when working with other individuals and teams in modern organizations. Topics include: problem solving, stress management, managing and motivating others, coaching and counseling, managing conflict, and leading change. Students are provided with a solid background in fundamentals. They are also introduced to the assessment tools, tests, and exercises that help gauge their personal development in each area.

The modern corporation and its historic development: principal functions of management and its social role; structure of the management decision process; choice of management tools for analyzing decisions and coping with outcome uncertainty.

The objective of this course is to introduce methods to efficiently organize and manage software projects using advanced software engineering class tools including Rhapsody (ilogix) and Rational (IBM). Topics to be covered include: the software development life cycle, specification, analysis, design, implementation and testing; modular top-down analysis, design and testing, CASE tools for system analysis and design, data modeling and processing modeling tools (data flow diagrams, entity relationship diagrams) traditional and prototyping approaches, design and development of relational database systems, I/O design, input validation and user interface design (GUI), project management tools and source code control systems (SCCS), required communication skills for the systems analyst, and fact finding and interviewing techniques.

The project will focus on real-world systems in the chosen area of specialization as described in course H5010. Students will be required to gain hands-on experience with a major computer-based information system, and to prepare a report based on their experience detailing the features, applications and limitations of the system.