IST359 - INTRODUCTION TO DATABASE MANAGEMENT SYSTEMS

Transcription

1 IST359 - INTRODUCTION TO DATABASE MANAGEMENT SYSTEMS 1. COURSE DETAILS Revised: 1/13/2012 COURSE (SECTION): IST359 (M001) TERM: Spring 2012 INSTRUCTOR: Deborah Nosky FINAL EXAM: Tuesday, May 8 th 10:15 12:15 OFFICE: Hinds dlnosky@syr.edu OFFICE HOURS: MEETING TIME: Thursday Noon 2:00pm or by appointment T/Th 2:00 3:20 HOME PAGE: LOCATION: Class (T): Hinds 011 Lab (Th): Hinds 013 COURSE DESCRIPTION: This course examines data structures, file organizations, concepts and principles of database management systems (DBMS); as well as, data analysis, database design, data modeling, database management and database implementation. More specifically, introduces hierarchical, network and relational data models; entity- relationship modeling; the Structured Query Language (SQL); data normalization; and database design. Using Microsoft s SQL Server DBMSs as implementation vehicles, this course provides hands- on experience in database design and implementation through assignments, lab exercises and course projects. Advanced database concepts such as transaction management and concurrency control, distributed databases, multi- tier client/server architectures and Web- based database applications are also introduced. COURSE OBJECTIVES: Like any introduction class, we will be exploring a vast array of topics, rather than a detailed drill- down. It is the primary objective of this class to expose you to the varying ideas of databases and database design, with a major focus on the relational model and SQL (Structured Query Language). With that in mind, the outcomes of this course are to: 1. Describe fundamental data and database concepts 2. Compare and contrast the relational database model with other database models 3. Explain and use the database development lifecycle 4. Design databases using data modeling and data normalization techniques 5. Create databases using popular database management system products 6. Solve problems by constructing database queries using the Structured Query Language 7. Develop insights into future data management tool and technique trends 8. Recommend and justify strategies for managing data security, privacy, audit/control, fraud detection, backup and recovery Page 1/7

2 9. Critique the effectiveness of Database Management Systems in computer information systems PREREQUISITE: IST352: Information Systems Analysis of Organizational Systems REQUIRED COURSE MATERIAL: (TEXT) Databases Demystified: A Self- Teaching guide, Oppel. ISBN: On- line class materials, posted to the learning management system (Blackboard). SUPPLEMENTAL COURSE MATERIAL: (TEXT) SQL: Pocket Guide, Gennick. ISBN: METHODS OF EVALUATION This table outlines each method by which you will be evaluated in this class. ASSESSMENT QTY NOTES PTS EACH PTS TOTAL Quizzes (Q01- Q06) quizzes total; Best 10 count towards grade Dates: (Every Tuesday) Labs (L01 L11) labs total; Best 10 count towards grade. Dates: (Every Thursday) Assignments (A01, A02, 4 All assignments are required A03, A04) Dates: TBD Exams (E01, E02) 2 In- class and hands- on exams Dates: 3/8 and May 8 th at 10:15 (Final Exam Time) GRADE EXPECTATIONS: TOTAL 600 Your grade in this class is based on the quality and accuracy of your submitted work. At any given point in time in this class, your grade can be calculated as the ratio of points you ve earned to points issued, based on the following scale: Page 2/7

3 GRADE EXPECTATION OF THAT GRADE A A: [.94, 1.00] A- : [.90,.93) Your work is outstanding and exceeds expectations. B B+: [.87,.89) B: [.83,.86) B- : [.80,.82) Your work meets expectations; on par with the average student. C C+: [.77,.79) C: [.73,.76) C- : [.70,.72) Your work is adequate but could be better. F D: [.60,.69) F: [0,.59) Your work is inadequate and needs substantial improvement. Note that achieving an A in this course requires a minimum of 94% of the available points and less than 3 absences. (See Attendance Policy on next page.) As a result, only a few of the highest achieving students will attain an A for the semester. At the end of every semester, I often get several requests from students who have come within a few points of the next highest letter grade category to please, please boost their grade, but barring an error in the grade calculation I don t do it. This includes rounding, an 86.9 is a B not a B+. The grade you earn is the grade you get and the time to worry about getting an A in the course is ALL SEMESTER LONG by keeping up with readings, labs, supplemental materials, and taking advantage of more than 50 hours of office hours offered. Yes, I am aware of the fact that we have an exam on Thursday, March 8 th. Please note that the University Spring Break is officially scheduled from Sunday March 11 Sunday March 18 th. Therefore it is not my intention to re- schedule this exam for anyone. If you are not physically present in the lab on the day exams are given you will receive a zero. Page 3/7

4 3. COURSE SPECIFIC POLICIES Participation: You are expected to participate in every class. If you fail to contribute to class discussion, use computers for non- class work during class time, or are tardy (show up after attendance is taken) you will be marked absent. Attendance: Attendance will be taken throughout the semester. If you arrive to class after attendance is taken, then you are absent. There are no excused absences unless documented by the university. If you have 3 or more absences, your final grade will be dropped one level down the grade scale. (A- is lowered to B+, C+ becomes a C, etc.) Blackboard: Weekly course content will be posted to Blackboard. This includes textbook readings, additional readings, multimedia (video clips, podcasts), class notes, slides, and labs. Readings and Class Materials: All assigned readings (textbook chapters and online supplemental materials) should be completed prior to the class day where they are posted. I expect you will come to class prepared ready to ask questions and comment on class materials. Submission of work: All work must be submitted as per the instructions to be eligible for credit. Due Dates: All due dates for quizzes, labs, exams and the project will be posted on the final syllabus. All dates are firm so please plan accordingly. No make- ups are allowed. Any deliverable due outside of class can be handed in anytime on the day it s due. Quizzes: Quizzes will be handed out on Tuesday s at the beginning of class. They are simple timed, closed- book assessments designed to make sure you re keeping pace with your studies. Labs: Lab dates are posted on the course schedule of the syllabus. Labs are always due on or before Sunday at 11:59PM. Late labs will not be accepted. Labs are graded on a pass (full credit) / fail (half credit) zero (no credit) scale. The lowest lab grade will be dropped from the final grade calculation. Exams: There are 2 exams issued in the course. Each is made up of a theoretical component and a hands- on component. Dates are firm and will be posted on the final syllabus. Because these are timed, in- class exams, no make- ups are allowed. Yes, I am aware of the fact that we have an exam on Thursday, March 8 th. Please note that the University Spring Break is officially scheduled from Sunday March 11 Sunday March 18 th. Therefore it is not my intention to re- schedule this exam for anyone. If you are not physically present in class or in the lab on the day exams are given you will receive a zero. Part II of the last exam is scheduled during Final Exam week as per University policy. It is scheduled for Tuesday, May 8 th from 10:15 12:15. No exceptions will be made. Assignments: Assignments are instruments that gauge your ability to apply the concepts we ve learned throughout the course. Assignments are quite demanding of your time, often requiring around 15 hours for the most competent of students to complete, mainly due to the research and additional practice that will be required. Late Work: Late work will not be accepted. No exceptions. If it is not on time, it does not count. Group Work: All work is individual effort unless specified otherwise. Academic Integrity: All work should be your own effort. To be safe, do not assist other students without clearing it with me first. Violators of academic integrity will receive an F in the course, and an incident report will be filed with the office of academic integrity. Page 4/7

5 4. UNIVERSITY AND SCHOOL POLICIES ACADEMIC INTEGRITY The academic community of Syracuse University and of the School of Information Studies requires the highest standards of professional ethics and personal integrity from all members of the community. Violations of these standards are violations of a mutual obligation characterized by trust, honesty, and personal honor. As a community, we commit ourselves to standards of academic conduct, impose sanctions against those who violate these standards, and keep appropriate records of violations. The academic integrity statement can be found at: STUDENT WITH DISABILITIES In compliance with section 504 of the Americans with Disabilities Act (ADA), Syracuse University is committed to ensure that no otherwise qualified individual with a disability shall, solely by reason of disability, be excluded from participation in, be denied the benefits of, or be subjected to discrimination under any program or activity If you feel that you are a student who may need academic accommodations due to a disability, you should immediately register with the Office of Disability Services (ODS) at 804 University Avenue, Room 308 3rd Floor, or (TTD only). ODS is the Syracuse University office that authorizes special accommodations for students with disabilities. OWNERSHIP OF STUDENT WORK In compliance with the Federal Family Educational Rights and Privacy Act, works in all media produced by students as part of their 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. ATTENDANCE POLICY Regular class attendance is obligatory. An instructor may recommend that a student be dropped from a course for poor achievement due to excessive absence. A student who is dropped after the deadline for dropping courses may be assigned a grade of F. Students who have two unexcused absences during the first two class meetings of the semester may be dropped from the course at the discretion of the instructor. The instructor or the department offering the course will notify the Registrar of this action. However, students should not assume that they have been dropped from a class just Page 5/7

6 because the first two classes were missed. It is ultimately the responsibility of the student to drop a course that they are not planning to attend by the deadline published in the College calendar. For more information about the Syracuse University Attendance Policy, please see the following web site: FAITH BASED OBSERVANCES SU s religious observances policy, found at recognizes the diversity of faiths represented among the campus community and protects the rights of students, faculty, and staff to observe religious holy days according to their tradition. Under the policy, you are provided an opportunity to make up any examination, study, or work requirements that may be missed due to a religious observance provided you notify me before the end of the second week of classes. For fall and spring semesters, an online notification process is available through MySlice/Student Services/Enrollment/My Religious Observances from the first day of class until the end of the second week of class. ADD/DROP PROCESS AND COURSE WITHDRAWAL POLICY It is the responsibility of the students to be fully informed of the college catalog policies regarding course add, drop and withdrawal policies. For more information about the Syracuse University Add/drop Process and Course Withdrawal Policy, please see the following web site: Page 6/7

7 5. TENTATIVE COURSE CALENDAR The following course calendar lists all reading assignments, lecture topics, labs, and due dates for assignments and exams. All additional reading and class materials can be accessed from inside Blackboard. You should plan on reading the materials associated with the learning unit prior to the date posted on the syllabus. All dates are firm, so please use this schedule to plan accordingly. WEEK# DATE CLASS SUBJECT DELIVERABLES DUE 1 T 1/17 Introduction and Overview of IST359 TH 1/19 The Database Environment & Development Process 2 T 1/24 The Relational Database Model Q01 TH 1/26 LAB: Intro to a DBMS and the Relational Model (L01) Due Sun 1/29 3 T 1/31 Introduction to Structured Query Language (SQL) Q02 TH 2/02 LAB Introduction to SQL (DDL and DML) (L02) Due Sun 2/5 T 2/07 The SQL SELECT statement / Table Joins Q03 4 TH 2/09 LAB: The SQL SELECT statement joins more DML (L03) Due Sun 2/12 Sun 2/12 SQL DDL Hands- On Workshop (OPTIONAL) 5 T 2/14 Advanced SQL SELECT, aggregates, sub- selects, Views Q04 TH 2/16 LAB: SQL SELECT aggregates, views, sub- selects (L04) A01, Due Sun 2/19 T 2/21 SQL Programming: Stored Procedures, Functions Q05 6 TH 2/23 LAB: SQL Programming: Stored Procedures, Functions (L05) Due Sun 2/26 Sun 2/26 SQL DML Hands- On Workshop (OPTIONAL) 7 T 2/28 Data and Database Administration Q06 TH 3/01 LAB: Transaction Management, DBMS security (L06) Due Sun 3/4 8 T 3/06 Exam 1 Part I (Short Answer, Multiple- choice) TH 3/08 Exam 1 Part II (Hands- on) E01, A02 9 T 3/13 Spring Break - No Class TH 3/15 Spring Break - No Lab 10 T 3/20 Database Analysis Data Modeling Q07 TH 3/22 LAB: Conceptual Modeling in Visio (L07) Due Sun 3/25 T 3/27 Logical Database Design, Mapping complex data models Q08 11 TH 3/29 LAB: Mapping to the Logical Model (L08) Due Sun 4/1 Sun 4/01 Modeling Hands- On Workshop (OPTIONAL) 12 T 4/03 Logical Database Design Normalization Q09 TH 4/05 LAB: Data Normalization (L09) Due Sun 4/8 13 T 4/10 Data Modeling Putting it all together Q10 TH 4/12 Lab: Data Modeling from start to finish (L10) A03, Due Sun 4/15 T 4/17 Data Migration Q11 14 TH 4/19 Lab: Data Migration (L11) Due Sun 4/22 Sun 4/22 Normalization Hands- On Workshop (OPTIONAL) 15 T 4/24 Some new and interesting topic I m sure SQL Performance? TH 4/26 Final Exam Review 16 T 5/01 Final Exam Part I (Short Answer, Multiple- choice) TH 5/03 No Class A04 FINAL T 5/08 Final Exam Part II (Hands- On) Lab Hinds 013 Page 7/7