Subject Datasheet

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I. Subject Specification

1. Basic Data
1.1 Title
Database Systems
1.2 Code
BMEEOFTMB-1
1.3 Type
Module with associated contact hours
1.4 Contact hours
Type Hours/week / (days)
Lecture 1
Lab 2
1.5 Evaluation
Midterm grade
1.6 Credits
4
1.7 Coordinator
name Dr. Zoltán KOPPÁNYI
academic rank Associate professor
email koppanyi.zoltan@emk.bme.hu
1.8 Department
Department of Photogrammetry and Geoinformatics
1.9 Website
https://epito.bme.hu/BMEEOFTMB-1
https://edu.epito.bme.hu/course/view.php?id=3566
1.10 Language of instruction
english
1.11 Curriculum requirements
Compulsory in the Construction Information Technology Engineering (MSc) programme
1.12 Prerequisites
1.13 Effective date
1 September 2022
2. Objectives and learning outcomes
2.1 Objectives
The course aims to give the student an insight into the possibilities of analyzing large amounts of data. The efficient way of storing data and the basics of data organization will be presented during the semester. A further aim of the course is to get to know all the levels of developing a database system and develop project approach.
2.2 Learning outcomes
Upon successful completion of this subject, the student:
A. Knowledge
  1. familiar with relational databases,
  2. knows the steps of normalization and how to store data without redundancy,
  3. familiar with the possibilities of modern databases,
  4. knows the SQL database management language,
  5. familiar with CRUD model
B. Skills
  1. is able to create the specification of an engineering task that can be solved with databases,
  2. design a redundancy-free relational database based on a suitable specification,
  3. is able to implement a relational database in a database management system,
  4. is able to formulate analyzes using SQL language,
  5. able to automatically process and convert data sources and then load them into a database
C. Attitudes
  1. open to the use of information technology tools,
  2. seeks to solve an engineering problem with the help of co-actors.
D. Autonomy and Responsibility
  1. openly answers her colleagues' questions and seeks professionally correct answers to them.
2.3 Methods
Lectures, exercises, written and oral communication, use of IT tools and techniques, independent and group work, work organization techniques.
2.4 Course outline
Week Topics of lectures and/or exercise classes
1. Lecture: Introduction, Lab: Relational algebra
2. Lab: Relational algebra
3. Lecture: SQL queries (SELECT-WHERE), Lab: SQL SELECT-WHERE with one table
4. Lab: SQL queries: SELECT-WHERE with multiple tables
5. Lecture: SQL queries (Grouping & aggregations), Lab: SQL aggregations
6.Lab: SQL grouping & aggregations
7. Lecture: SQL Data Definition Language& CRUD, Lab: SQL practice before midterm
8. Midterm
9. Lecture: Database design 1 (concepts, ER diagram), Lab: Database design practice
10. Lab: Database design practice
11. Lecture: Database design 2 (database schema diagram), Lab: Intro to MS Access.
12. Lab: Building a database with MS Access
13. Lecture: Managing databases (security, access control, legal aspects), Lab: Consultation / back-up
14. Databases in the Civil Engineering Practice: Invited talk

The above programme is tentative and subject to changes due to calendar variations and other reasons specific to the actual semester. Consult the effective detailed course schedule of the course on the subject website.
2.5 Study materials
a) Books:
  1. Avi Silberschatz, Henry F. Korth, S. Sudarshan: Database System Concepts - Seventh Edition, 2019 McGraw-Hill, ISBN: 9780078022159
  2. Jeffrey D. Ullman, Jennifer Widom: Database systems - The Complete Book, 2008.
b) Online materials:
  1. Presentation slides
2.6 Other information
2.7 Consultation
Consultation dates: as specified on the website of the department, or by prior arrangement, by e-mail; e-mail: koppanyi.zoltan@epito.bme.hu
This Subject Datasheet is valid for:
2024/2025 semester I

II. Subject requirements

Assessment and evaluation of the learning outcomes
3.1 General rules
Learning outcomes formulated in point 2.2 are assessed on one test, three homework assignments, and active participation in the exercises (partial performance assessment).
3.2 Assessment methods
Evaluation form Abbreviation Assessed learning outcomes
Test T A.1-A.7; B.4; C.1
1st homework HW2 A.1-A.2; B.1-B.2, B.4-B.6; C.1-C.2; D.1
2nd homework HW3 A.1, A.4; B.3-B.6; C.1-C.2; D.1

The dates of deadlines of assignments/homework can be found in the detailed course schedule on the subject’s website.
3.3 Evaluation system
AbbreviationScore
T50%
HW1-250%
Sum100%
3.4 Requirements and validity of signature
3.5 Grading system
The grade of those who meet the conditions for attendance is determined according to the following criteria: At least 50% of the test must be completed. The final grade is calculated on the basis of the average of the test and the homework.
3.6 Retake and repeat
The first and second homework submitted and accepted can be corrected during the semester free of charge until the submission of the third assignment.
3.7 Estimated workload
Activity Hours/semester
participation in contact classes 14×3=42
preparation for the practices 14×0.5=7
preparing for performance evaluations 6
homework 55
independent acquisition of designated written curriculum 10
Sum 120
3.8 Effective date
1 September 2022
This Subject Datasheet is valid for:
2024/2025 semester I