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Course information:
Course information:
Semester year: Spring 2026
Time/Location: Monday/Wednesday/Friday 10:00–11:00 a.m., T Fuller Petr Eng Research 110
Class material will be posted here and on Canvas
Piazza link is now alive. Please ask all questions/discussions via Piazza
Staff information:
Staff information:
Instructor: Tara Salman email: tsalman@ttu.edu Office: EC211D
TA: Rukayat Olapojoye, email: rolapojo@ttu.edu
Instructor office hours: Monday/Wednesday 12:00–2:00 p.m., EC211D or by appointment.
TA office hours: Tuesday 10am- 12 pm and Thursday 10-11 am. It will probably be in room 204A.
Description
Description
This course overviews a database system and its components, physical organization of data, data models, relational databases, and query processing.
This course overviews a database system and its components, physical organization of data, data models, relational databases, and query processing.
It has several objectives, including 1) an understanding of data modeling concepts, 2) a relational model for storage and retrieval of information, 3) formal query languages, and 4) current database technologies such as SQL.
It has several objectives, including 1) an understanding of data modeling concepts, 2) a relational model for storage and retrieval of information, 3) formal query languages, and 4) current database technologies such as SQL.
Key topics include, but are not limited to:
1. Relational Model
2. Relational Algebra
3. Data Definition and Manipulation with SQL;
4. Formal query languages
5. Normalization
6. Database Design Methodology
Textbook:
Textbook:
The textbook for the course is Fundamentals of Database Systems 7th edition, Ramez Elmasri and Shamkant B. Navathe, Pearson, 2015, ISBN: 9780133970777
Learning Outcomes & Assessment Methods
Learning Outcomes & Assessment Methods
Students who have completed this course should have the ability to:
1. Understand the fundamental principles of the relational data model
2. Formulate an Entity-Relationship (ER) diagram as conceptual design of database requirements
3. Map ER diagrams to relational schemas
4. Formulate a correct relational algebra expression to answer a query using a query language such as SQL that involves select-project-join, negation, union, intersection, minimum/ maximum, and a limited form of counting
5. Apply database theory to practice by creating a database application using a commercial database product
Prerequisites
Prerequisites
Course Prerequisites: CS 3364 Design and Analysis of Algorithms
Course Prerequisites: CS 3364 Design and Analysis of Algorithms
Expected Prior Knowledge and Skills: logic, some programming knowledge, teamwork proficiency
Expected Prior Knowledge and Skills: logic, some programming knowledge, teamwork proficiency
Grading Policy
Grading Policy
Your course grade shall be based on the following weights.
Assignments: 15%
Quizzes: 5%
Class contributions: 5%
Course project: 40%
Midterm 1: 20%
Midterm 2: 20%
See the syllabus for details.
Assignments and Project Descriptions
Assignments and Project Descriptions
Syllabus Quiz is on Canvas. It is due Jan 31st
Lectures
Lectures
Note: Please access the passcode for the video from Canvas
Lecture 1 (Introduction to the course)
Date: Jan 14th.
Reading Resources:
Your Syllabus
Chapter 1 (up till 1.3)
Lecture 2 (Intro continued)
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