Course Information

Course Title Database Management Systems
Course Number CS 5200
Semester Summer 1 2019
Location NEU Silicon Valley Campus
6024 Silver Creek Valley Rd.
San Jose, CA 95138
Lectures Monday, Tuesday, 12pm - 3pm
IoT Classroom, NEU Silicon Valley Campus
Prerequisites
  • Moderate level of software development skills
  • Good working knowedge of the Java programming language,
  • At least a basic knowledge of JavaScript/ECMAScript for the second half of the class
Instructor Philip Gust
Teaching Assistants Qing Liao
Suhas Mohan

Office Hours

Instructor Office Hours

Philip Gust
p.gust@northeastern.edu
Day Time Location
Monday 9.00am–11.30am
3pm–5pm 		NEU Silicon Valley Campus
Tuesday 9.00am–11.30am
3.00pm–5.30pm

TA Office Hours

Qing Liao
liao.qing@husky.neu.edu
Day Time Location
Monday 3.00pm–6.00pm NEU Silicon Valley Campus
Friday 3.00pm–6.00pm
Suhas Mohan
mohan.su@husky.neu.edu
Day Time Location
Thursday 1.00pm–4.00pm NEU Silicon Valley Campus

Course Description

This course introduces database management systems as a class of software systems. Students will study and gain experience with two of todays dominant types of database management systems: Relational Database Management Systems (RDBMS) and Non-Relational or NoSQL databases. The goal is to prepare students to analyze the requirements of a given applicaton and select the appropriate type of database, and to gain competentency in the major features of each.

Grading Policy

The class includes individual assignments, quizzes, and two projects.

Individual Assignments 50%
Quizzes 15%
RDBMS project 30%
Instructor's discretion 5%

The final grade for a student is calculated as the weighted average of the preceding list and rounded up to the nearest integer. The mapping to a letter grade uses the following scale

A [95, 100]
A- [90, 94]
B+ [85, 89]
B [80, 84]
B- [75, 79]
C+ [70, 74]
C [65, 69]
C- [60, 64]
D [0, 59]

Extensions

Late assignments will not be accepted unless you have explicit instructions from the instructor. If you are to miss lectures or require an extension for a deadline, ensure you inform the course staff in advance. The earlier we are informed the easier it will be to accommodate your request.

Attendance

You are expected to attend all lectures and all code walks.

Missing Lectures

If you have to miss a lecture please inform the course staff. Materials covered for each lecture, readings, tutorials, assignments, are available on the course web page.

Assignment Extensions

Assignment extensions are at the discretion of the instructors. If you would like to discuss a possible extensions talk to the course instructors in advance (minimum of 48 hours).

Academic Honesty

You are expected to read, understand, and follow the University’s policies on Academic Integrity. You should also review and understand the Academic Integity presentation that was made at the orientation session.

During assignments you are encouraged to discuss the problem with classmates on piazza or other forums. You are however not allowed to share solutions.

Working Individually

All work submitted for assignments expected to be completed individually must be your own work. You are not allowed to share code. Code that is identical or similar will be penalized and reported to the appropriate University authorities.

Working in Teams

All work submitted for assignments expected to be completed as a team must be the team’s work. You are not allowed to share code with people outside your team or with another team. Code that is identical or similar will be penalized and reported to the appropriate University authorities.

Tips for Success

You cannot learn everything you need to know in lectures or homeworks. You must:

  1. Read the required material and as much supplemental material as possible.

    Try to stay ahead of the game and read material before it is covered in class. If you have questions, write them down. If these questions don't get covered, ask in class or meet with the tutors, lab coordinator, or professor.

  2. Attempt to solve additional problems.

    Try to solve as many exercises as possible as you read sections in the book. If you can't do them, read the material again.

  3. Attend lectures.

    Lectures accentuate the material you should have already read from the book. Take advantage of the extra explanations and examples during the lectures to ensure you comprehend the material. Prepare questions to ask, but also listen to questions asked by your classmates.

  4. Talk to the course staff.

    If the lecture and the notes leave you with questions on the material, see your teacher(s) during office hours or make an appointment. Mark the passages in the book(s) that you do not understand, and prepare questions that express what you do not understand.

  5. Keep up.

    Experience proves that students who fall behind quickly drop out. So, keep up with the readings, tutorials, and the homeworks. Ask for additional problems, if the homeworks failed to make a point.

Diversity/Disability Statements

If you require support during the course due to a disability please ensure that you are already registered with the University’s Disability Center, and contact your course instructors to coordinate any support needed during the course.

Software

The course will be making heavy use of the following software

Helpful Links

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