| Instructor(s) | Dr. Faezeh Ensan [Coordinator] Office: ENG324 Phone: (416) 979-5000 x 554904 Email: fensan@torontomu.ca Office Hours: Wednesdays, 1pm - 3pm | Calendar Description | Data engineering is core to the effective development of scalable software applications. Rich data management schemes are needed to handle the sizeable Big Data that is available for processing. This course will cover related topics such as entity-relation diagrams, relational databases, data definition and manipulation languages, structured data representations formats, development of novel vocabularies and semi-structured data and also novel concepts in NoSQL databases. | ||||||||||||
| Prerequisites | COE 528 | ||||||||||||||
| Antirequisites | None | ||||||||||||||
| Corerequisites | None | ||||||||||||||
| Compulsory Text(s): |
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| Reference Text(s): | |||||||||||||||
| Learning Objectives (Indicators) | At the end of this course, the successful student will be able to:
NOTE:Numbers in parentheses refer to the graduate attributes required by the Canadian Engineering Accreditation Board (CEAB). | ||||||||||||||
| Course Organization | 3.0 hours of lecture per week for 13 weeks | ||||||||||||||
| Teaching Assistants | Aadi Kalloo: aadi.kalloo@torontomu.ca Omid Shokrollahi: oshokrollahi@torontomu.ca | ||||||||||||||
| Course Evaluation |
Note: In order for a student to pass a course, a minimum overall course mark of 50% must be obtained. In addition, for courses that have both "Theory and Laboratory" components, the student must pass the Laboratory and Theory portions separately by achieving a minimum of 50% in the combined Laboratory components and 50% in the combined Theory components. Please refer to the "Course Evaluation" section above for details on the Theory and Laboratory components (if applicable). | ||||||||||||||
| Examinations | Midterm exam in Week 7, in person, closed book (covers Weeks 1-6). Final exam, during exam period, in-person, closed-book (covers Weeks 1-13). | ||||||||||||||
| Other Evaluation Information | The written reports will be assessed not only on their academic merit, but also on the communication skills of the author as exhibited through the reports. In order to achieve a passing grade in this course, the student must achieve an average of at least 50% in both theoretical and laboratory components. Lab assignments should be submitted before 11:59 pm the day before the scheduled next lab. The penalty for up to 8 hours delay in submission is 20% of the lab mark. More than 8-hours late lab assignments will not be accepted and will receive a mark of 0. | ||||||||||||||
| Teaching Methods | Lectures will be in: Fridays 10:00 AM - 1:00 PM: DSQ15 Theatre | ||||||||||||||
| Other Information | To inquire about the anti-requisites for this course, kindly reach out to the department. | ||||||||||||||
Week | Hours | Chapters / | Topic, description |
|---|---|---|---|
1 | 3 | Introduction to relational Database Systems | |
2-3 | 6 | Entity-Relationship (E/R) Data Model | |
4 | 3 | Relational Database Model Subclass Structures to Relations | |
5 | 3 | Algebra of Relational Operations | |
6 | 3 | Structured Query Language (SQL) | |
7 | 3 | Midterm | |
8 | 3 | Database Connectivity- Database Modifications Views OOP Access to RDBMS | |
9 | 3 | Database Normalization | |
10 | 3 | Data Access and Integrity Models-Database Indices | |
11 | 3 | Semi-structured Data Representation (XML XML Schema DTD) | |
12 | 3 | NoSQL Databases | |
13 | 3 | Course Review. |
Week | L/T/A | Description |
|---|---|---|
2 | - | Project Scope Definition and Project Specification Document Development |
3-4 | - | E/R Diagram Design |
5-6 | - | Database Design |
7-8 | - | Manipulating Data |
9-10 | - | Database Programming |
11-13 | - | Semi-Structured Data |
Students are reminded that they are required to adhere to all relevant university policies found in their online course shell in D2L and/or on the Senate website
Refer to the Departmental FAQ page for furhter information on common questions.
You can submit an Academic Consideration Request when an extenuating circumstance has occurred that has significantly impacted your ability to fulfill an academic requirement. You may always visit the Senate website and select the blue radio button on the top right hand side entitled: Academic Consideration Request (ACR) to submit this request.
For Extenuating Circumstances, Policy 167: Academic Consideration allows for a once per semester ACR request without supporting documentation if the absence is less than 3 days in duration and is not for a final exam/final assessment. Absences more than 3 days in duration and those that involve a final exam/final assessment, require documentation. Students must notify their instructor once a request for academic consideration is submitted. See Senate Policy 167: Academic Consideration.
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