CS636 Data Analytics with R Programming Syllabus (Spring 2023)

General Information

Location:	CKB204
Times:	Thurday 1:00 pm-3:55 pm
Instructor:	Zhi Wei
Office:	GITC 4214C
Office Hours:	Thurs 4:00 pm -5:00 pm, Fri 2:30 pm - 4:40 pm, or By appointment.
Phone:	973-642-4497
Email:	zhiwei@njit.edu
Teaching assistant:	Haoran Liu, email hl425@njit.edu
Class web page:	http://web.njit.edu/~zhiwei/CS636 Download class notes and homeworks from Canvas.

Goals

When you have completed this course, you should be familar with R programming and use ito analyze/solve real data science problems/projects.

Prerequisites

Some basic knowledge of programming, probability and statistics. If in doubt about the prerequisites, please consult with the instructor for permission to take the class.

Reference Materials

Textbook:

R Programming for Data Science, by Roger D. Peng

Using R for Introductory Statistics, by John Verzani, Chapman & Hall/CRC, 2014, ISBN 1466590734

Advanced R by Hadley Wickham, ISBN 9781466586963.

Class Requirements

The class grade will be based on absolute scoring and is broken down into the following components:

Homework, computing lab excercise - 5%
Quiz - 20%
Term project - 15%
A midterm examination - 25%
A final examination - 35%

Late Assignment Policy

Written Homework and Programs are due at the beginning of class. 25% penalization per late day; Not accepted more than 3 days late.

Attendance

You are supposed to attend all the classes. Participation is highly encouraged to make the class more interactive. In general, students who attend class regularly perform much better than those who come only occasionally. If you miss one class be sure to consult one of your classmates about the content of the lecture and visit the course web page to get notes, exercises, assignments, deadlines and announcements.

Collaboration and Honor Code

Each student is responsible for his/her own work. Students may discuss problems together but must write up their own solutions. Collaboration on homeworks and programs should be limited only to answering questions that can be asked and answered without using any written medium (e.g., no pencils, instant messages, or email). When writing up the solutions, students should write the names of people, if any, with whom they discussed the assignment. Note in particular that copying homework or programming assignments, in full or in part is forbidden. Students found cheating or plagiarizing will be immediately referred to the Dean of Students and the NJIT Committee on Professional Conduct and subject to Disciplinary Probation, a permanent marking on the record, possible dismissal, and an "F" grade in the course. All submitted assignments will be checked for similarities, and plagiarism and guilty students identified.

Modifications to syllabus

The syllabus may be modified at the discretion of the instructor or in the event of extenuating circumstances. Students will be notified in class of any changes to the syllabus.