DESC 382: Database Management
Winter 2011
| Classroom and times |
MB Building room S2.135 |
|||||||||||||||||||
|
Instructor |
||||||||||||||||||||
|
E-mail (#1 way to reach me) |
This e-mail address is being protected from spambots. You need JavaScript enabled to view it |
|||||||||||||||||||
|
Phone |
(514) 848-2424 x2985 |
|||||||||||||||||||
|
Office |
MB 12.339 (12th floor of the JMSB Building) |
|||||||||||||||||||
|
Office hours |
2:30 pm to 4:30 pm Wednesdays, or by appointment | |||||||||||||||||||
| Tutor |
This e-mail address is being protected from spambots. You need JavaScript enabled to view it |
|||||||||||||||||||
|
Required materials |
|
|||||||||||||||||||
| Recommended books |
Both of these recommended books are available online from Concordia University Libraries through Safari Books Online. However, they are only available from within the Concordia University network, or from off-campus via the VPN. Search for the book titles, and they will come up:
|
|||||||||||||||||||
| Course website and e-mail |
|
|||||||||||||||||||
| Computer labs |
Students who need to use a computer on-campus have access to the following labs for students:
|
|||||||||||||||||||
|
Prerequisites |
||||||||||||||||||||
|
Course overview |
This course provides a comprehensive foundation for designing, building, and working with databases, enabling students to understand and use commercially available database products effectively. The course examines different models of representing data with emphasis on relational model. Topics include data modelling, database design, queries, transaction management, implementation issues, and an overview of distributed database management systems, data warehouses, databases in electronic commerce, and database administration. Where feasible, use is made of professional data management software for designing, building, and implementing relational databases. |
|||||||||||||||||||
|
Learning outcomes |
Information systems deals with processing information to effectively accomplish organizational goals. A key component of this purpose is to collect raw data, process it, transform it, and present it to target users in useful means that enable them to understand and effectively use it. Database management is central to this purpose. This course aims to produce professionals who are able to effectively manage data and databases to:
|
|||||||||||||||||||
|
Teaching method |
|
|||||||||||||||||||
|
Participation |
This class will feature a lot of in-class discussion. You should come to class prepared by having read the assigned materials beforehand so that you can actively participate in stimulating, thoughtful discussion. I also encourage you to bring into the discussion anything you might have read, learned or experienced outside the materials for this class. I value a few thoughtful insights far more than frequent unreflective comments. Contribution to the class’s learning also means that you listen to what other students say, and you build on their comments so that our group discussion can have direction. |
|||||||||||||||||||
|
Assessments |
Because of the cancellation of the Wikipedia assignment, the greater score of the two assignments 1 or 2 will count for 15% instead of 5% as originally scheduled. |
|||||||||||||||||||
|
Grading policy |
Department of Decision Sciences and Management Information Systems grades are based on the official grading system described in the Concordia University Calendar as follows:
There is no official “mark-to-grade equivalence scale”, e.g., that 50 is a “pass”, or that 50-52 is a “D-”. Faculty members individually or collectively decide what constitutes an “A”, “B”, “C”, etc. |
|||||||||||||||||||
| Assignments |
There will be three graded homework assignments for this class. Two of the assignments are designed to give you extended time to work out the material learned in class. These assignments are to be conducted individually. In addition, I may provide some non-graded assignments (with solutions) for your further learning. These assignments are due at the beginning of class on the specified due date.
Late submissions: Assignments must be submitted at the beginning of class on the due date to be considered on time. Late submissions incur the following penalties: –10% if submitted more than 15 minutes after the start of the class; –20% if submitted after class on the same day due; and –10% for each day late after that. I accept e-mail submissions if I receive them before class starts; otherwise, they will be marked as late. |
|||||||||||||||||||
|
|
|
|||||||||||||||||||
|
Examinations |
There will be one midterm and one final examination. The specific dates, times, and locations will be announced in class. Important Note: In accordance with the DSMIS Department policy, your average on both tests together must be at least 50% to pass the course. |
|||||||||||||||||||
|
Term project |
The purpose of the project is to provide the opportunity for you to apply the knowledge learned in the class to a business database scenario. The project is to be done in groups of three to five people; I will adjust the groups to maintain optimal group numbers and sizes. Each individual must submit a confidential Peer Assessment. Your individual grade for the group project will depend partially on your group grade, and also on how your peers evaluate you. So, be a team player! The project is described in detail in a separate document. |
|||||||||||||||||||
|
Make-up policy |
Midterm and final exam: Only students who miss an exam for university-approved and verifiable reasons will be allowed to take a make-up exam. Even then, except in the most extreme circumstances, no student may miss a scheduled exam without receiving permission before the administration of the exam. Make-up exams might be significantly different in format from the regular tests, and will be administered at a time of my own convenience. |
|||||||||||||||||||
|
Attendance policy |
Attendance is required for this class. You are expected to arrive and depart this class promptly at the scheduled time. |
|||||||||||||||||||
|
Academic honesty |
The Code of Conduct (Academic) at Concordia University states that the "integrity of University academic life and of the degrees, diplomas and certificates the University confers is dependent upon the honesty and soundness of the instructor-student learning relationship and, in particular, that of the evaluation process. Therefore, for their part, all students are expected to be honest in all of their academic endeavours and relationships with the University." (Article 1) All students enrolled at Concordia are expected to familiarize themselves with the contents of this Code. You are required to read Concordia University's website on Academic Integrity, which provides useful information about proper academic conduct. In addition, for all my classes, I require you to sign and submit an Academic Honour Pledge. I will not return any graded work to you in this class until I have received your signed Honour Pledge. The homework assignments and exams must be done individually. Only the group project and Wikipedia assignment are to be done in groups. Moreover, group work must not involve any plagiarism whatsoever. You are encouraged to refer to outside resources, but you are not permitted to copy-and-paste, and all sources used must be properly cited. Any violation of the Academic Code of Conduct will constitute academic dishonesty and will be handled through the appropriate university channels. If you have any question about what might be a violation of the Code, ask me directly and I will gladly clarify you. Thus, claiming to misunderstand is not an acceptable excuse. |
|||||||||||||||||||
|
Miscellaneous |
|
|||||||||||||||||||
| Schedule | ||||||||||||||||||||
| Acknowledgements | I sincerely thank Dr. Raul Valverde for his kind assistance and provision of source materials that I have adapted and adopted in the design and development of this course. | |||||||||||||||||||






