Syllabus

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Database Systems

Wednesday, Friday 4:00-5:15pm in 1404 Siebel Center

Instructor


Anna Yershova
Email: yershova@illinois.edu
Office: 2211 Siebel Center
Office Hours: Fr 2:30-3:30pm
Web: http://msl.cs.uiuc.edu/~yershova
Phone: 217-265-7567

Teaching Assistants


Arpit Agarwal
(Newsgroup)
aagarwl8@illinois.edu
Office: SC 1121
Office Hours: 
Mondays 12-1pm
Phone:
+1(217) 417-1142
Shih-Wen  Huang
(Homework)
shuang51@illinois.edu
Office:  SC 1121
Office Hours:
Tuesdays 2:30-3:30pm
Phone:
217-979-8026


Saeidreza Shifteh Far (Project track 1)
sshifte2@illinois.edu
Office: SC 0207
Office Hours: Thursdays 9-10am
Phone: (217) 333-1463

Nikita Spirin
(Project track 2)
spirin2@illinois.edu
Office: SC 1127
Office Hours:
Fridays 11-12am in SC 1127 

About the Course

As the first introductory course for databases, this course studies the fundamentals of using and implementing relational database management systems. First, from the user perspective (i.e., how to use a database system), the course will discuss conceptual data modeling, the relational and other data models, database schema design, relational algebra, and the SQL query language. Further, from the system perspective (i.e., how to design and implement a database system), the course will study data representation, indexing, query optimization and processing, and transaction processing.

Prerequisites

  • Background: CS 225 or CS400.
  • Programming: For projects, you will do some significant application programming, with both SQL and some host languages of your choice (e.g., C, C++, Java, PHP). We will not cover programming-specific issues in this course.

Textbook

Course Format and Activities

This course will draw materials from the textbook as well as recent database literature. Students will study the materials and complete a project.

Lectures and Class Participation

While the class lectures will be recorded for distant students, we strongly encourage (and appreciate!) on-campus students to attend classes, because effective lectures rely on students participation to raise questions and contribute in discussions. Although we probably will have a large class, we will strive to maintain interactive class discussions if possible.

We will provide lecture notes before class, which will be posted on the Schedule page.

Questions, Discussions, and Help

  • If you have any questions or need clarification of class material, what should you do? First, try to discuss with your project group peers-- This way, you can get immediate help, and also learn to communicate "professionally" with your peers. You will know the material better by discussing with and explaining to your peers.
  • Next, if you do not get a satisfactory answers, try to post your question to the newsgroup (class.cs411 at news server news.cs.uiuc.edu) whenever possible, or otherwise email the TA in charge. Note the newsgroup is for you and your peers to discuss class-related materials and to help one another. The TAs will monitor the newsgroup and try their best to help. But please be aware that the TAs may not be able to answer all questions on the newsgroup in a timely manner, due to the overwhelming number of questions that such newsgroups sometimes generate. Also, there are obviously things that are not appropriate for the newsgroup, such as solutions for assignments as well as comments or requests to the staff.
  • In any case, for more thorough discussion, come to our office hours if you can! The TAs and the instructor will have office hours for all weekdays. Don't be shy. Use our office hours to their fullest extent to help your study.
  • Any announcements will be posted on both the newsgroup and the Announcements page. Make sure to check either place frequently enough to stay informed.

Reading

Read the textbook for the required reading before lectures, and study them more carefully after class. Please note that all the required readings are fair materials for exams. These materials may not be fully covered in lectures. Our lectures are intended to motivate as well as provide a road map for your reading-- with the limited lecture time we may not be able to cover everything in the readings.

Assignments

There will be a few written assignments, spaced out over the course of the semester.

Tutorials

We will arrange a few hands-on tutorial sessions to help students in preparing assignments and exams. These tutorials will likely be in early evenings. They will also be recorded for online viewing.

Projects

There will be a semester-long project, which involves significant database application programming. The project will be structured with several milestones due in the course of the semester, leading to a demo and write-up near the end of the semester.

Examinations

There will be two exams: midterm and final. We will not normally give make-ups for missed exams; please see the policies.

Sample exams: will be posted here before exam.

Extra 4-Credit Work (Optional for Graduate Students)

Graduate students MAY take this course for 4 credit units. (Undergraduates take this course for three hours credit.) For the extra unit, you will complete an additional project-- i.e., you will work on both tracks of the projects.

Evaluation

We plan to determine final grades of the course in the following way (for graduate students who work for 4 credits it will be reweighed accordingly 0.75 and 0.25):

Homework Assignments 15%
Projects 35%
Midterm Exam 20%
Final exam 30%

Final grading:

Total Grade
90-100 A (A-, A, A+)
80-89 B (B-, B, B+)
70-79 C (C-, C, C+)
60-69 D (D-, D, D+)

This table indicates minimum guaranteed grades. Under certain limited circumstances (e.g., an unreasonably hard exam), we may select more generous ranges or scale the scores to adjust.
This course may contain both graduate and advanced undergraduate students. We expect to grade both undergrads and grads on the same scale, as past experience shows that both groups perform at roughly equal levels. However, if a significant performance disparity develops, we may choose to grade the two groups separately.

Please remember that students are bound by the University honor code on academic integrity in regard to all work related to this course. Any student found to be violating this code will be subject to disciplinary action.


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