ClassInfo

SE 579 Analytics and Data Mining in Software Engineering

Winter 2013-2014
Class number: 26294
Section number: 801
Tu 5:45PM - 9:00PM
Loop Campus
Course homepage: http://d2l.depaul.edu

Summary

This courses discusses the application of selected statistical analysis, data mining, and machine learning techniques to the area of Software Engineering. These techniques are used for purposes as varied as stakeholder analysis, mining software repositories, trace retrieval, bug prediction, recommender systems in Software Engineering domains, and software process improvement techniques. The course demonstrates how these techniques can be used to enhance project management and other software engineering activities in software intensive systems and provides students with hands-on experience using them on real project data. (No prior knowledge of data mining and knowledge management is assumed.) Tools used during this course will include Weka (data mining), R (statistical analysis), and TraceLab (experimental design).

Most weeks will focus on a specific software engineering problem that is addressable using machine learning/data mining solutions, reading related papers, algorithmic and process solutions, hands on experimentation (using Weka, R, and/o TraceLab), presentations, and interactive discussion.



Texts

There are no required text books for the course; however readings will be provided each week.


Grading

This course will be taught seminar-style this quarter. The grading scheme reflects the highly interactive nature of the course, and will be assigned as follows:
  • 20% Class participation(s) including leading one discussion
  • 30% Homework assignments and their in-class/online discussion
  • 50% Final project and presentation


Prerequisites

SE450 or equivalent


School policies:

Changes to Syllabus

This syllabus is subject to change as necessary during the quarter. If a change occurs, it will be thoroughly addressed during class, posted under Announcements in D2L and sent via email.

Online Course Evaluations

Evaluations are a way for students to provide valuable feedback regarding their instructor and the course. Detailed feedback will enable the instructor to continuously tailor teaching methods and course content to meet the learning goals of the course and the academic needs of the students. They are a requirement of the course and are key to continue to provide you with the highest quality of teaching. The evaluations are anonymous; the instructor and administration do not track who entered what responses. A program is used to check if the student completed the evaluations, but the evaluation is completely separate from the student’s identity. Since 100% participation is our goal, students are sent periodic reminders over three weeks. Students do not receive reminders once they complete the evaluation. Students complete the evaluation online in CampusConnect.

Academic Integrity and Plagiarism

This course will be subject to the university's academic integrity policy. More information can be found at http://academicintegrity.depaul.edu/ If you have any questions be sure to consult with your professor.

All students are expected to abide by the University's Academic Integrity Policy which prohibits cheating and other misconduct in student coursework. Publicly sharing or posting online any prior or current materials from this course (including exam questions or answers), is considered to be providing unauthorized assistance prohibited by the policy. Both students who share/post and students who access or use such materials are considered to be cheating under the Policy and will be subject to sanctions for violations of Academic Integrity.

Academic Policies

All students are required to manage their class schedules each term in accordance with the deadlines for enrolling and withdrawing as indicated in the University Academic Calendar. Information on enrollment, withdrawal, grading and incompletes can be found at http://www.cdm.depaul.edu/Current%20Students/Pages/PoliciesandProcedures.aspx.

Students with Disabilities

Students who feel they may need an accommodation based on the impact of a disability should contact the instructor privately to discuss their specific needs. All discussions will remain confidential.
To ensure that you receive the most appropriate accommodation based on your needs, contact the instructor as early as possible in the quarter (preferably within the first week of class), and make sure that you have contacted the Center for Students with Disabilities (CSD) at:
Lewis Center 1420, 25 East Jackson Blvd.
Phone number: (312)362-8002
Fax: (312)362-6544
TTY: (773)325.7296