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General Information (1/2023)
Classroom: -
Day: Thursday from 15:30 to 18:10 (Data Bases - Section 3)
Load: 45 hours (4 credits)
My room: UAI/FIC, Santiago, D-322. Daniel Leite (daniel.furtado@uai.cl)
Assistance from me: By email (any day/time) & By Zoom Meeting (Friday from 14:00 to 18:00; please send me an email to schedule)
Course Overview
01 – Introduction to Data Bases and Database Management Systems (DBMS)
02 – Database models: hierarchical, network, relational, object-oriented, graph, document-based, non-relational
03 – Entity-Relationship Diagrams: conceptual analysis and synthesis, e.g. draw.io
04 – Logical design, normalization; 1st, 2nd and 3rd normal forms
05 – DBMS optimization and additional topics: Centralized and Distributed databases, Client-Server architecture
06 – SQL: Structured Query Language: DDL, DML, DCL, TCL; popular Relational DBMS, e.g., MySQL
07 – NoSQL: Not only Structured Query Language: characteristics, types, popular Non-Relational DBMS, e.g. MongoDB
08 – Cloud-based big data analytics: Azure, and Google BigQuery in Python
Objectives of the Course
01 – Introduce foundations and concepts of data bases and database management systems
02 – Provide background information to support the importance of database systems in modern organizations and business strategies
03 – Students should become familiar with database design, manipulation and administration as well as with a variety of database models
04 – Discuss issues on relational (SQL), non-relational (NoSQL) and cloud-based tools; and programming languages
05 – Be actively involved in hands-on activities, and in a project to effectively create, normalize and optimize a database
Approximated Timeline
Week 1: Introduction to Data Bases and Database Management Systems
Week 2: Database models and concepts
Week 3: Database models, and ER Diagrams
Week 4: Relational model
Week 5: Conceptual and logical database design
Week 6: Practice using an Entity-Relationship Diagram Tool, e.g. draw.io
Week 7: Topics on phisical design, security, recovery
Week 8: Midterm Test (T1)
Week 9: SQL concepts
Week 10: SQL concepts and examples
Week 11: Practice: SQL and Google BigQuery on Kaggle
Week 12: NoSQL
Week 13: API - JSON - Python; big data; practical example in a non-relational BD tool, e.g. MongoDB
Week 14: Practice using cloud-based big data analytics: Azure Cloud
Week 15: Challenges in DBMS, or Webservices; and synthesis for the final test
Week 16: Final Test (T2)
Week 17: Examen (E)
Evaluation and Project Due Date
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T1: Midterm Test (30%) - April 20, 2023 (To be confirmed)
T2: Final Test (30%) - June 22, 2023 (To be confirmed)
A: Assignements/Activities (20%)
P: Project (20%) - June 23, 2023 (To be confirmed)
E: Exam - June 29, 2023 (To be confirmed)
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La Nota Final (NF)
- Se calculará una Nota presentación a Examen: NPE = 0,3 T1 + 0,3 T2 + 0,2 A + 0,2 P
Si (NPE >= 5,0) y (T1, T2, A y P >= 4,0) y NPE dentro del primer decil de NPEs del curso, el profesor podría eximir al alumno de rendir examen y, entonces: NF = NPE
- Si el alumno debe rendir examen y la nota obtenida en el examen (E) es mayor o igual a 3,0; entonces: NF = 0,3 E + 0,7 NPE
- Si el alumno debe rendir examen y (E < 3,0), entonces NF = NE
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Approved if:
NF >= 4.0 and Class Attendance >= 70%
Main Textbooks
[1] Jeffrey Hoffer, Ramesh Venkataraman, Heikki Topi. Modern Database Management. 13th edition, Pearson, 2021.
[2] S. Sumathi, S. Esakkirajan. Fundamentals of Relational Database Management Systems. Springer, 2010.
Other Textbooks
[3] Jeffrey Hoffer, Mary Prescott, Fred McFadden. Modern Database Management. 6th edition, Prentice Hall, 2002.
Supporting Material
Class Notes (available below)
1/2023 (Class notes will be gradually available along the course)
1/2023 - Attachments: Part 1 (Weeks 1 to 8 -> Midterm Test)
DBases - 00.pdf1/2023 - Attachments: Part 2 (Weeks 9 to 16 -> Final Test)
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