Fall 2021 - CMPT 354 D100
Database Systems I (3)
Class Number: 4570
Delivery Method: In Person
Course Times + Location:
Mo 8:30 AM – 9:20 AM
SWH 10041, Burnaby
Th 8:30 AM – 10:20 AM
BLU 9660, Burnaby
Exam Times + Location:
Dec 17, 2021
8:30 AM – 11:30 AM
SWH 10081, Burnaby
1 778 782-6851
Prerequisites:CMPT 225 and (MACM 101 or (ENSC 251 and ENSC 252)), all with a minimum grade of C-.
Logical representations of data records. Data models. Studies of some popular file and database systems. Document retrieval. Other related issues such as database administration, data dictionary and security.
This is the introduction course into the general area of data management, which is the core of many applications. We will cover the basic ideas and methodologies of data management in the context of data science and big data.
COURSE-LEVEL EDUCATIONAL GOALS:
- Introduction to data intensive applications and data management
- Relational model and SQL
- Database design
- Complex data and application design
- Enterprise data infrastructure: data warehouses and data lakes
- Big data analytics and data science
To be announced in the first week of classes.
Students must attain an overall passing grade on the weighted average of exams in the course in order to obtain a clear pass (C- or better).
- Database System Concepts, 7th Edition, Abraham Silberschatz and Henry Korth and S. Sudarshan, McGraw Hill, 2020,
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TEACHING AT SFU IN FALL 2021
Teaching at SFU in fall 2021 will involve primarily in-person instruction, with approximately 70 to 80 per cent of classes in person/on campus, with safety plans in place. Whether your course will be in-person or through remote methods will be clearly identified in the schedule of classes. You will also know at enrollment whether remote course components will be “live” (synchronous) or at your own pace (asynchronous).
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Students with hidden or visible disabilities who may need class or exam accommodations, including in the context of remote learning, are advised to register with the SFU Centre for Accessible Learning (firstname.lastname@example.org or 778-782-3112) as early as possible in order to prepare for the fall 2021 term.