Data-intensive systems

CS-300 / 6 credits

Teacher(s): Ailamaki Anastasia, Kashyap Sanidhya

Language: English

Summary

The purpose of this course is to discuss the design of database and operating systems concepts using a hands-on approach.

Content

Topics we will cover include database and operating system architecture, data models, query optimization and planning, query engine and system programming, networked and distributed systems, and storage systems.

  • Entity-relationship and relational model
  • Relational algebra and Calculus
  • The SQL query language
  • Storage and indexing
  • Query operators and optimization
  • Transaction Management and Concurrency control
  • Isolation mechanisms: process abstraction, system calls, and interrupts
  • Virtual memory: MMU, TLB, paging, on-demand paging, working set
  • Task scheduling: Context switch, scheduling algorithms, coroutines
  • Basic synchronization mechanisms: locking and latching, task coordination
  • File system: UNIX file representation, inodes, crash recovery, buffer cache, logging mechanisms

Learning Prerequisites

Required courses

CS-202 Computer Systems

CS-302 Parallelism and concurrency in software (from 2024-2025)

Recommended courses

CS-200 Computer architecture

Important concepts to start the course

Algorithms and data structures, programming, parallelism

Learning Outcomes

By the end of the course, the student must be able to:

  • Identify and manage key components of database and operating systems
  • Choose or critique design choices for DB and OS system software
  • Express application information requirements and model the data of an application
  • Create and design a database with a practical application in mind while justifying choices
  • Explore how a DBMS and/or an OS performs work
  • Report performance and possible optimizations for applications

Teaching methods

Lectures, exercices,  and projects

Expected student activities

  • Attend the lectures in order to ask questions and interact with the professor
  • Attend the exercises session to solve and discuss exercises about the recently taught material
  • Work on a team project which covers the practical side of the course, e.g. build a key component of an OS or build an application for using a database system
  • Take a midterm and a final exam

Assessment methods

Labs (30%)

Midterm (25%)

Final exam (45%)

Supervision

Office hours Yes
Assistants Yes

Resources

Moodle Link

In the programs

  • Semester: Spring
  • Exam form: Written (summer session)
  • Subject examined: Data-intensive systems
  • Lecture: 2 Hour(s) per week x 14 weeks
  • Exercises: 1 Hour(s) per week x 14 weeks
  • Project: 2 Hour(s) per week x 14 weeks
  • Type: mandatory
  • Semester: Spring
  • Exam form: Written (summer session)
  • Subject examined: Data-intensive systems
  • Lecture: 2 Hour(s) per week x 14 weeks
  • Exercises: 1 Hour(s) per week x 14 weeks
  • Project: 2 Hour(s) per week x 14 weeks
  • Type: optional
  • Semester: Spring
  • Exam form: Written (summer session)
  • Subject examined: Data-intensive systems
  • Lecture: 2 Hour(s) per week x 14 weeks
  • Exercises: 1 Hour(s) per week x 14 weeks
  • Project: 2 Hour(s) per week x 14 weeks
  • Type: optional
  • Semester: Spring
  • Exam form: Written (summer session)
  • Subject examined: Data-intensive systems
  • Lecture: 2 Hour(s) per week x 14 weeks
  • Exercises: 1 Hour(s) per week x 14 weeks
  • Project: 2 Hour(s) per week x 14 weeks
  • Type: optional
  • Semester: Spring
  • Exam form: Written (summer session)
  • Subject examined: Data-intensive systems
  • Lecture: 2 Hour(s) per week x 14 weeks
  • Exercises: 1 Hour(s) per week x 14 weeks
  • Project: 2 Hour(s) per week x 14 weeks
  • Type: optional

Reference week

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