General Information. Course Prerequisites. Course Description

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1 General Information Instructor: Nicholas C. Bucciarelli, Ph.D. Classroom: Hinds Primary Secondary May 16 th 2016 through May 20 th 2016, Monday through Friday, Class Time: 9:00am 5:00pm Primary Mobile Phone: Office Location: Hinds (TBD) If Help is Needed, please contact me ASAP Office Hours: By Appointment Course Prerequisites There are no prerequisites that are required before you can register for this course Course Description Based on the official description of this course, primary focus of IST 659 is the definition, development, and management of databases for information systems. The specific areas of concentration are as follows: data analysis techniques, data modeling, schema design, query languages, search specifications, file organization for databases, and data administration concepts and support skills. Please note that credit shall not be granted for both IST 659 and IST 658 courses. The succeeding paragraphs in this section provide greater clarity and understanding of the subject matter that shall be lectured on and the application of this knowledge. IST 659 course is a graduate level introduction to the important concepts of Data Architecture development and supporting methodologies that are used to instantiate the physical creation of Relational Applications and Object Oriented Databases that are used to support the applications from a systems view. These activities are assigned to a Data Architect, and NOT a Database Administrator. Based on this concept of Data Architecture we will examine data elements, their structures, records, constructs, and relationships through data analysis, normalization and de-normalization, and modeling by the development of entityrelationship models, referred to as ERD. The secondary area of focus is the Relational Database Management Systems (RDBMS) that are needed as the platform that will manage and host these Relational Applications and Object Oriented Databases. A RDBMS is necessary for these databases to be instantiated and administered by a Database Administrator, referred to as a DBA. Based on the DBA role, we will learn through the application the what, how, and where to use Structured Query Language, referred to as SQL. This SQL is based on Microsoft s Transact-SQL syntax and notation with reference to W3C which is the governing body for SQL standards relative to industry syntax and notation. This is very important because SQL has minor variations based on the heritage and vendorspecific notation and syntax. In addition, we will learn through application such components as In-Memory OLTP, OLAP for Data-Warehousing, Memory Optimization Advisor, Clustering, OLTP management, Data Coherence, etc. Our RDBMS platform that will be utilized in labs 4 through 8 will be Microsoft 2014 SQLServer. There will be several lectures on other key important RDBMSs, for example, Oracle 12c EE/SE, IBM DB2, etc., Version 2.0 final draft Page 1 of 11 May 2 nd, 2016

2 In support of Data Architecture and Database Administration this course focuses on the entire life-cycle from concept to implementation of Relational and Objects Oriented databases. The key aspects of this lifecycle are as follows: 1. Capturing and understanding business requirements and the business logic behind them in the framework of a business architecture model. This key to a successful database implementation because a database is one of three tiers of a systems architecture model. In other words, your data architecture specifications and models will not be derived from a data-centric view but rather a system view that includes the user interface and application tiers. 2. Reviewing the system architecture model to see how this database will be used, for example, managed reporting, transactional, distributed, client/server, clustered, and any relationships to a data-warehousing environment, etc. Also, taking into account the physical topologies of systems architecture, specifically when we are targeting a database to be used in the context of an extranet and internet enterprise-wide systems construct. 3. Developing data architecture specifications that are driven by an organization s business requirements. These specifications represent multi-dimensional views of your data relative to user interactions and application functionality in concert with the data. The Unified Modeling Language (UML) Class/Object Model is the basis for developing these specifications. These specifications, also known as models, are used as the process for verifying the correctness of those business requirements. 4. Creating logical and physical data models based on industry standards and methodologies will be the basis for validating the Class/Object Model. 5. Securing data from the perspective of data encryption, data vaults, schemas for replacing critical data with aliases, etc. 6. Instantiating the physical database and all its tables and/or objects onto a system platform comprised of an operating system and adequate server resources for supporting this database. 7. Writing System Language Queries (SQLs) to execute against the database for reporting, data, purposes as well as how to use web-enabled reporting tools. Using this life-cycle as the basis for understanding how databases are developed, deployed and managed; students will learn through applied knowledge, data modeling, database design and implementation as well as how to use managerial issues as the basis for continuous improvement. The following graphic represents what a completed data model looks like before it is used to instantiate the physical database: Version 2.0 final draft Page 2 of 11 May 2 nd, 2016

3 This course will also address as secondary areas of concentration, information architecture models and knowledge management models. This will explain why the life-cycle I described is critical to organizations that must make day-to-day business decisions based on information trends and knowledge gained. In our last class we will review advanced topics, for example, Data Analytics/Informatics supported by Big Data technologies, Hadoop, Content Databases such as MongoDB, XML Databases, scripting languages such as Hive, Pig, etc., and the importance of Applied Statistics and Mathematics to this area of Data Analytics/Informatics Course Goal: The primary goal for this course is to provide graduate level management majors, the ability to understand projects that involve data and information aspects of systems architecture from a technical perspective. This ensures that they are supportive of the business strategies of the organization. In support of this goal are specific course objectives and corresponding learning outcomes. Version 2.0 final draft Page 3 of 11 May 2 nd, 2016

4 Course Objectives/Learning Outcomes: Upon completion of this course, students will be able to demonstrate the following skills based on 3 key objectives: 1. Describe the fundamental concepts and methods of Data Architecture development and the instantiation of the physical creation of Relational Applications and Object Oriented Databases to Microsoft 2014 SQLServer RDBMS, a. Incorporate an organization s fundamental business rules in database modeling, b. Use prototyping as a rapid development method for implementing a database design as well as the selection and application of what rapid development methodology to use, c. Understand through application the design, development, and use of client/server databases, Internet databases, distributed databases, data-warehousing, and knowledge management. 2. Ability to use Data Modeling tools, for example, ERWin or Visio as the means to architect data models, and the ability to use these models to forward engineer the instantiation of the physical creation of Relational Applications and Object Oriented Databases to Microsoft 2014 SQLServer RDBMS, a. Transform a logical database to a physical database that takes into account hardware, operating system, data communication, and network requirements with the help of modeling tools such as Visio, ERWin, etc., 3. Ability to use RDBMS data management components to support and optimize Relational Applications and Object Oriented Databases that reside on a RDBMS, a. Develop SQL statements and execute against the database through ODBC/JDBC, or Web Services, b. Review of web-enabled tools, managed reporting environments, c. Comprehend important managerial issues involved in database design and operation about issues and concerns of database administration, including data integrity constraints, query processing, concurrency control, performance metrics, security, and recovery, d. Recommend and justify strategies for managing data security, privacy, audit/control, fraud detection, backup and recovery, i. Secure Relational Applications and Object Oriented Databases that reside on a RDBMS by using the specific database firewall component which is a key security component of a RDBMS to prevent, detect, and neutralize SQL Injection intrusions/attacks. e. Understand several key and advanced concepts of new developments in database technologies relative to the changes in middleware and web services. Method of Instruction: The approach to this class will consist of daily lectures, a total of eight labs, and a very comprehensive final examination. The expectations for this course are that all students obtain a detailed knowledge of the concepts presented and the application of them. Knowledge and application are two key critical components for a successful class. Finally, I want all students to keep in mind that learning is the application of what has been taught. It does not just understand the concepts but rather how you apply them and leverage what you have learned for future improvement relative to additional academic work in this discipline and/or in industry. Version 2.0 final draft Page 4 of 11 May 2 nd, 2016

5 Required Textbooks and Professor Supplied Materials: Modern Database Management, 12 th Edition, Authors: Jeffrey A. Hoffer, V. Ramesh, and Heikki, Publisher: pearsonhighered.com, ISBN: ISBN: The Language of SQL, Author: Larry Rockoff, Publisher: Cengage Learning ISBN: ISBN: X Professor provided summarized notes and hand-outs based on actual data architecture project examples, and vendor technical information specific to components for database administration purposes, etc Note: These BOOKs are REQUIRED for this class, NO Exceptions Required Technologies Supplied by ischool: Microsoft SQLServer 2014 RDBMS Microsoft Access 2013 Microsoft Visio 2013 Note: The above software packages have been installed on the lab computers. Software access from home is easy for Windows users. You can download Microsoft Access and Visio onto your own computers through MSDNAA. You can also download SQL Server Express from Microsoft website onto your computer and remotely connect to the class SQL Server. Software access from home is also possible via Remote Lab for Mac and Windows users. Note: Details of how to use Remote Lab can be found in: Version 2.0 final draft Page 5 of 11 May 2 nd, 2016

6 Assessment: In this course, students will be evaluated according to performance in the following categories: Categories % assigned Attendance/Participation and Class Exercises 5% Required Labs: 1 through 8 40% Final Examination 55% Total 100% Note: Work submitted by students must be of the highest quality and professional output in terms of substance, structure, ideas, and correct usage of the English language. The MLA or APA format will be used for the Project Report and Individual Research Presentation: Advanced Subject Matter. Class Attendance/Participation and Exercises: Class attendance/participation is very critical and mandatory for this class. Students are required to attend classes and actively participate in class discussions and exercises that the professor will supply as needed for reenforcement of the concepts and the required labs. Students are required to post their completed in-class exercises to the corresponding forum in Blackboard which will be under the Discussions Section of Blackboard. These exercises are designed to encourage students to practice their newly learned knowledge, and thus the grading is based on participation only, not performance. At the end of the semester, all participations in the exercise forums will be tallied to calculate student grade in the class exercise category. If there is x number of exercises throughout the semester, and a student finishes a number of exercises in total, the student s grade is (y/x) * 12 Note: Only legitimate excuses with supporting document(s) will be accepted for missing classes, such as job interviews and medical conditions. The instructor may recommend that a student be dropped from a course for poor achievement due to excessive absence. Version 2.0 final draft Page 6 of 11 May 2 nd, 2016

7 Required Labs 1 through 8: A total of 8 Lab Assignments are required for completion during the course of the semester. These 8 Lab Assignments will be located in our Blackboard course portal, under the tab entitled, Assignments. You will find individual files, for example, instructions associated with a specific lab number. In addition, per lab number there will be examples referred to as Samples that shall provide insight, for example, how the SQL (DDL and DML) of how the syntax and notation should resemble relative to the construct of the statements. Note: You are free to discuss the assignments with your classmates, but you must write up the report yourself. Assignments must be professionally prepared and submitted electronically to the Blackboard. No hand-writing or hand-drawing assignments will be accepted. All assignments should be submitted in Word files named as Lab_Num_Lastname_Firstname.doc(x). Grades for the assignments and the graded assignments with comments will be made available in Blackboard. Late Assignments: All Assignments shall be delivered on time by 11:59pm ET per Wednesday as defined in the Class Syllabus by required date Late submissions shall be penalized by 20% per assignment if not provided during the 24-hour period after the required date, 50% per assignment if not provided during the 48-hour period after the required date, and finally 100% after the 48-hour period. Primary Subject Matter addressed in the assigned labs but not limited to additional areas of knowledge required to understand this subject matter: 1. Data Modeling I 2. Data Modeling II 3. Data Normalization 4. SQL I DDL 5. SQL II DML single-table query 6. SQL III DML multi-table query 7. Views and Transactions 8. Client/Server database Final Examination: A very comprehensive FINAL Examination shall be issued to the class, the afternoon of the 20 th of May, This examination shall be based on the labs, required textbooks, and lectures supplied by the professor. Version 2.0 final draft Page 7 of 11 May 2 nd, 2016

8 Grading Scale: The following are grade expectations and divisions according to the grading policy of the School of Information Studies at the graduate level. An "A" means the student has the capability to independently build a small-scale database for a client. If a student had a difficult start at the beginning of the semester but ended up finishing a very high-quality project, his or her project performance will be considered in the final adjustment of the grade. Grades will not be curved in this class. Letter Grade Points Assigned per Letter Grade A A B B B C C Course Policies: This course will use the SU Blackboard System as the primary means for communications. Students are required to check their Blackboard accounts on a regular basis. Important announcements will be posted to the Announcements board. Failure to read the class announcements will not be considered a suitable excuse for not being informed. The Blackboard can be accessed at Questions regarding the Blackboard should be directed to ilms@syr.edu or Peggy Brown at Note: All s to the professor should contain in the subject line beginning with [IST 659] Syracuse University s Academic Integrity Policy holds students accountable for the integrity of the work they submit. Students should be familiar with the policy and know that it is their responsibility to learn about course- specific expectations, as well as about university policy. The university policy governs appropriate citation and use of sources, the integrity of work submitted in exams and assignments, and the veracity of signatures on attendance sheets and other verification of participation in class activities. The policy also prohibits students from submitting the same written work in more than one class without receiving written authorization in advance from both instructors. The presumptive penalty for a first offense by an undergraduate student is course failure, accompanied by a transcript notation indicating that the failure resulted from a violation of Academic Integrity Policy. The standard sanction for a first offense by a graduate student is suspension or expulsion. Note: For additional information and the complete policy, please access the following URL: Version 2.0 final draft Page 8 of 11 May 2 nd, 2016

9 If you believe that you need specific accommodations for a disability, please contact the Office of Disability Services (ODS), located in Room 309 of 804 University Avenue, or call (315) for an appointment to discuss your needs and the process for requesting accommodations. ODS is responsible for coordinating disability-related accommodations and will issue students with documented Disabilities Accommodation Authorization Letters, as appropriate. Since accommodations may require early planning and generally are not provided retroactively, please contact ODS as soon as possible SU recognizes the diversity of faiths represented among the campus community and protects the rights of students, faculty, and staff to observe religious holidays according to their tradition. Under the policy, students are provided an opportunity to make up any examination, study, or work requirements that may be missed due to are religious observance provided they notify their instructors before the end of the second week of classes. SU Religious Observances Policy, can be found at the following URL: Note: For the fall and spring semesters, an online notification process is available through from the first day of class until the end of the second week of class. MySlice/StudentServices/Enrollment/MyReligiousObservances In compliance with the Federal Family Educational Rights and Privacy Act, the Ownership of Student Work based any format and/or media produced by students as part of course participation at Syracuse University may be used for educational purposes, provided that the course syllabus makes clear that such use may occur. It is understood that registration for and continued enrollment in a course where such use of student works is announced constitutes permission by the student. After such a course has been completed, any further use of student works will meet one of the following conditions: 1. The work will be rendered anonymous through the removal of all personal identification of the work s creator/originator(s); or 2. The creator/originator(s) written permission will be secured. As generally accepted practice, honors theses, graduate theses, graduate research projects, dissertations, or other exit projects submitted in partial fulfillment of degree requirements are placed in the library, University Archives, or academic departments for public reference Version 2.0 final draft Page 9 of 11 May 2 nd, 2016

10 Tentative Class Schedule with Key Dates for Assignments: Date Topics Readings Assignments Due May 16 May 17 Introduction to Subject Matter, Review of Syllabus and Requirements Overview of RDBMS technologies and scripting languages, and the required technologies used for this course Review of Project preparation Data Modeling, I (Entity and Binary Relationship) Data Modeling II (Unary and Ternary relationship) Data Modeling III (Hierarchical Relationship and Data Normalization) Data Modeling C ase Study; Peer Critique on Project Design Report; Post Critique Online Physical Database D esign SQL SQL II Chapters 1 & 2 Modern Database Management, 12 th Edition Chapter 1 The Language of SQL: How to Access Data in Relational Databases Chapters 3, 4 & 5 Modern Database Management, 12 th Edition Chapters 6, 7, 8 & 14 Modern Database Management, 12 th Edition Labs 1, 2 & 3 Chapters 2, 3, 4, 5, 6, 7, , 11, 12, 13, 14 & 15 The Language of SQL: How to Access Data in Relational Databases Chapters 16, 17, 18, 19 & 20 The Language of SQL: How to Access Data in Relational Databases May 18 SQL III Labs 4, 5 & 6 Note: Review of the following Appendices: A, B, C & D Chapters 9, 10, 11, 12, & 13 May 19 View and Transaction; Database Administration Client/server systems; interface design Modern Database Management, 12 th Edition Labs 7 & 8 Version 2.0 final draft Page 10 of 11 May 2 nd, 2016

11 Date Topics Readings Assignments Due May 20 Advanced Topics (Morning) FINAL Examination (Afternoon) Enterprise Business Process Modeling Technologies Object Oriented Databases Analytics (Big Data Technologies) Note: 4 Hour Examination Note: According to the academic calendar, the last day of class is May 20 th, The New York State requires a minimum of 2250 contact minutes for 3-credit course. Version 2.0 final draft Page 11 of 11 May 2 nd, 2016