Design and Use of Relational DatabasesLaajuus (5 cr)
Code: TT00CP38
Credits
5 op
Objective
After completing the course, the student understands the basics of database systems, and especially the operating principles of relational databases. The student learns how to design and model a database with ER technique, transform it to relational schema and further implement it as a relational database. After the course, the student knows how to use at least one well-known database management system (SQLite, MySQL or similar), can plan and create relational databases as well as apply SQL for most common query and update operations to the database.
Content
In the database design part of the course, students familiarize themselves with database thinking and the principles of data management from a quality perspective. Key topics include data modeling using ER diagrams, relational schema representations and normalization technique for validating the quality of the design. In the database use part of the course, students apply structured query language (SQL) to create a database (SQL DDL), and to manipulate and search data in the database (SQL DML). The course consists of self-study materials and practical exercises with a final test.
Qualifications
The course is suitable for beginners and no previous studies are necessary.
Enrollment
03.12.2024
Timing
06.01.2025 - 15.06.2025
Number of ECTS credits allocated
5 op
Virtual portion
5 op
Mode of delivery
Distance learning
Teaching languages
- English
Seats
0 - 200
Degree programmes
- Joint Elective Studies
- Degree Programme in Information and Communications Technology
Teachers
- Kimmo Tarkkanen
Scheduling groups
- Avoimen AMK:n kiintiöpaikat. (Size: 500. Open UAS: 500.)
Small groups
- Open UAS quota.
Objective
After completing the course, the student understands the basics of database systems, and especially the operating principles of relational databases. The student learns how to design and model a database with ER technique, transform it to relational schema and further implement it as a relational database. After the course, the student knows how to use at least one well-known database management system (SQLite, MySQL or similar), can plan and create relational databases as well as apply SQL for most common query and update operations to the database.
Content
In the database design part of the course, students familiarize themselves with database thinking and the principles of data management from a quality perspective. Key topics include data modeling using ER diagrams, relational schema representations and normalization technique for validating the quality of the design. In the database use part of the course, students apply structured query language (SQL) to create a database (SQL DDL), and to manipulate and search data in the database (SQL DML). The course consists of self-study materials and practical exercises with a final test.
Materials
Published in Ville-system
Teaching methods
Remote self-study.
Lecture videos & slides; Exercises, text material and tests in Ville online system
Exam schedules
Final exam will be available in Ville system.
International connections
Students collect points from exercises and tests in Ville.
Completion alternatives
No
Student workload
Estimated working hours usage:
20 h Reading materials
40 h Exercises
30 h Practical work
30 h Tests and exams
Content scheduling
Students familiarize themselves with database thinking and the principles of data management from a quality perspective. Key topics include data modeling using ER diagrams, relational schema representations and normalization technique for validating the quality of the database design. In the database use part of the course, students apply structured query language (SQL) to create a database (SQL DDL), and to manipulate and search data in the database (SQL DML). The course consists of self-study materials, exercises, midterm tests, a practical work and final exam.
Learning rounds are the following:
- Introduction
- ER model 1
- ER model 2
- Relational model
- Normalization
- SQL 1: basic queries
- SQL DDL & DML: creating database and inserting data
- SQL 2: more complex queries
The study schedule is personal. Please note, however, that the course and registration to the Ville study platform will close at a certain time.
Further information
Ville-system
Evaluation scale
H-5
Assessment methods and criteria
The course is graded on scale 0-5.
Grading is based on total points collected in Ville system. Tests, practical work and the final exam are compulsory. Minimum points to pass the exam is 15 points out of 60 points.
Minimum points to pass the practical work is 80 points out of 200 points.
The division of points is the following:
Tutorials/Exercises: 550 points
Tests: 140 points
Practical work: 200 points
Final exam: 120 points
Total points: 1010 points
Less than 660 points = not graded
660-729 points = grade 1
730-799 points = 2
800-869 points = 3
870-939 points = 4
940-1010 points = 5
Assessment criteria, fail (0)
Less than minimum points in the exam (15+15) or practical work (80) or in total (660).
Qualifications
The course is suitable for beginners and no previous studies are necessary.
Enrollment
15.06.2024 - 31.10.2024
Timing
12.08.2024 - 31.12.2024
Number of ECTS credits allocated
5 op
Virtual portion
5 op
Mode of delivery
Distance learning
Campus
Kupittaa Campus
Teaching languages
- English
Seats
0 - 200
Degree programmes
- Joint Elective Studies
Teachers
- Kimmo Tarkkanen
- Tommi Tuomola
Teacher in charge
Kimmo Tarkkanen
Scheduling groups
- Avoimen AMK:n kiintiöpaikat. Ilmoittaudu ilman tätä pienryhmää. (Size: 500. Open UAS: 500.)
Small groups
- Open UAS quota. Please enroll without selecting this group
Objective
After completing the course, the student understands the basics of database systems, and especially the operating principles of relational databases. The student learns how to design and model a database with ER technique, transform it to relational schema and further implement it as a relational database. After the course, the student knows how to use at least one well-known database management system (SQLite, MySQL or similar), can plan and create relational databases as well as apply SQL for most common query and update operations to the database.
Content
In the database design part of the course, students familiarize themselves with database thinking and the principles of data management from a quality perspective. Key topics include data modeling using ER diagrams, relational schema representations and normalization technique for validating the quality of the design. In the database use part of the course, students apply structured query language (SQL) to create a database (SQL DDL), and to manipulate and search data in the database (SQL DML). The course consists of self-study materials and practical exercises with a final test.
Materials
Written material and videos published in the ViLLE platform.
Teaching methods
The course is a remote, self-study course available online in ViLLE learning platform https://ville.utu.fi
Students collect points in the learning platform by reading written material, watching videos and answering exercises and tests.
A practical work and final exams are compulsory and have minimum points to pass.
Exam schedules
The final exam is available in ViLLE system.
International connections
Not applicable
Completion alternatives
Not applicable
Student workload
Estimated student workload:
20 h Reading materials
30 h Exercises
40 h Practical work
20 h Tests and exams
Content scheduling
SCHEDULE:
The course is a self-study course available online in ViLLE learning platform https://ville.utu.fi
The course begins in the Autumn 2024. Students can schedule their own studying pace and progress within the date limits of the course. A welcome message is sent to your email after enrollment. In the email you get a registration key to the ViLLE-platform and a link to the discussion area in Discord. Note, that the registration to the ViLLE platform ends on a certain date, after which one cannot start the course, and the course ends on a certain date, by which all the performance required in the course must be completed in ViLLE. Exact dates will be announced in the ViLLE platform and/or welcome message.
CONTENTS:
In the database design part of the course, students familiarize themselves with database thinking and the principles of data management from a quality perspective. Key topics include data modeling using ER diagrams, relational schema representations and normalization technique for validating the quality of the design. In the database use part of the course, students apply structured query language (SQL) to create a database (SQL DDL), and to manipulate and search data in the database (SQL DML). The course consists of self-study materials, and exercises, mid-term tests, and a final test in Ville. In addition, a student plans, implements and documents own relational database as a practical work.
Further information
The course is suitable for beginners and no previous studies are necessary.
You can ask for assistance and discuss the course materials and exercises in Discord server. The link is provided by email before the starting day of the course.
Evaluation scale
H-5
Assessment methods and criteria
Max. Points (subject to change before the course starts):
Exercises 550 p
Tests 140 p
Practical work 200 p
Exam 120 p
Total: 1010 points
Mid-term tests, practical work and the final exam are compulsory.
The final exam is divided into two parts (design and use; 60 + 60 points). The student needs to get at least 15 points out of 60 from both parts of the exam. To pass the practical work student needs 80/200 points in minimum.
Grading (subject to change before the course starts):
Less than 660 points = Fail
660-729 points = 1 grade
730-799 points = 2 grade
800-869 points = 3 grade
870-939 points = 4 grade
940-1010 points = 5 grade
Assessment criteria, fail (0)
Student gets less than 660 points (subject to change before the course starts)
Assessment criteria, excellent (5)
A student gets 940 points or more (subject to change before the course starts).
At this level, a student
- Can develop a high-quality concept model / plan of a database based on the user requirements.
- Can use normalization to improve the quality of a relational database.
- Can implement the database with DBMS and SQL according to a plan, and change the plan if necessary.
- Can use SQL statements for information retrieval in various ways, such as sub-groupings and sub-queries.
Qualifications
The course is suitable for beginners and no previous studies are necessary.
Enrollment
01.01.2023 - 31.01.2024
Timing
23.10.2023 - 31.05.2024
Number of ECTS credits allocated
5 op
Virtual portion
5 op
Mode of delivery
Distance learning
Teaching languages
- English
Seats
0 - 200
Degree programmes
- Joint Elective Studies
- Degree Programme in Information and Communications Technology
Teachers
- Kimmo Tarkkanen
- Tommi Tuomola
Scheduling groups
- Avoimen AMK:n kiintiöpaikat (Size: 500. Open UAS: 500.)
Small groups
- Open UAS quota
Objective
After completing the course, the student understands the basics of database systems, and especially the operating principles of relational databases. The student learns how to design and model a database with ER technique, transform it to relational schema and further implement it as a relational database. After the course, the student knows how to use at least one well-known database management system (SQLite, MySQL or similar), can plan and create relational databases as well as apply SQL for most common query and update operations to the database.
Content
In the database design part of the course, students familiarize themselves with database thinking and the principles of data management from a quality perspective. Key topics include data modeling using ER diagrams, relational schema representations and normalization technique for validating the quality of the design. In the database use part of the course, students apply structured query language (SQL) to create a database (SQL DDL), and to manipulate and search data in the database (SQL DML). The course consists of self-study materials and practical exercises with a final test.
Materials
Published in Ville-system
Teaching methods
Remote self-study.
Lecture videos & slides; Exercises, text material and tests in Ville online system
Exam schedules
Final exam will be available in Ville system.
International connections
Students collect points from exercises and tests in Ville.
Student workload
Estimated working hours usage:
20 h Reading materials
40 h Exercises
30 h Practical work
30 h Tests and exams
Content scheduling
Students familiarize themselves with database thinking and the principles of data management from a quality perspective. Key topics include data modeling using ER diagrams, relational schema representations and normalization technique for validating the quality of the database design. In the database use part of the course, students apply structured query language (SQL) to create a database (SQL DDL), and to manipulate and search data in the database (SQL DML). The course consists of self-study materials, exercises, midterm tests, a practical work and final exam.
Further information
Ville-system
Discord channels
Evaluation scale
H-5
Assessment methods and criteria
The student requires min. 50% of points to pass the course. Tests, practical work and the final exam are compulsory.
The course is graded on scale 0-5:
Grading is based on total points collected:
50%-59% of points --> grade 1
60-69% --> 2
70-79% --> 3
80-89% --> 4
90-99% --> 5
The exact number of total points and points per type will be announced in Ville system.
Qualifications
The course is suitable for beginners and no previous studies are necessary.
Enrollment
01.01.2023
Timing
15.05.2023 - 31.07.2023
Number of ECTS credits allocated
5 op
Virtual portion
5 op
Mode of delivery
Distance learning
Teaching languages
- English
Seats
0 - 200
Degree programmes
- Open Studies
Teachers
- Kimmo Tarkkanen
- Tommi Tuomola
Scheduling groups
- Avoimen AMK:n kiintiöpaikat. (Size: 500. Open UAS: 500.)
Small groups
- Open UAS quota.
Objective
After completing the course, the student understands the basics of database systems, and especially the operating principles of relational databases. The student learns how to design and model a database with ER technique, transform it to relational schema and further implement it as a relational database. After the course, the student knows how to use at least one well-known database management system (SQLite, MySQL or similar), can plan and create relational databases as well as apply SQL for most common query and update operations to the database.
Content
In the database design part of the course, students familiarize themselves with database thinking and the principles of data management from a quality perspective. Key topics include data modeling using ER diagrams, relational schema representations and normalization technique for validating the quality of the design. In the database use part of the course, students apply structured query language (SQL) to create a database (SQL DDL), and to manipulate and search data in the database (SQL DML). The course consists of self-study materials and practical exercises with a final test.
Materials
Published in Ville-system
Teaching methods
Remote self-study.
Lecture videos & slides; Exercises, material and tests in Ville online system
Exam schedules
Final exam will be available in Ville system.
International connections
Students collect points from exercises and tests in Ville.
Student workload
70 h Ville-tutorials about database design and SQL
15 h Videos and materials in Ville
40 h Exercises and tests.
Content scheduling
students familiarize themselves with database thinking and the principles of data management from a quality perspective. Key topics include data modeling using ER diagrams, relational schema representations and normalization technique for validating the quality of the design. In the database use part of the course, students apply structured query language (SQL) to create a database (SQL DDL), and to manipulate and search data in the database (SQL DML). The course consists of self-study materials and practical exercises with a final test.
Further information
Ville-system
Discord channels
Evaluation scale
H-5
Assessment methods and criteria
The student requires min. 50% of points and accepted final test to pass the course.
The course is graded on scale 0-5:
Grading is based on total points collected:
50%-59% of points --> grade 1
60-69% --> 2
70-79% --> 3
80-89% --> 4
90-99% --> 5
The number of total points available will be announced later.
Qualifications
The course is suitable for beginners and no previous studies are necessary.