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Math 660 : Introduction to statistical Computing with SAS and R
Fall 2017 Graduate Course Syllabus

NJIT Academic Integrity Code: All Students should be aware that the Department of Mathematical Sciences takes the University Code on Academic Integrity at NJIT very seriously and enforces it strictly. This means that there must not be any forms of plagiarism, i.e., copying of homework, class projects, or lab assignments, or any form of cheating in quizzes and exams. Under the University Code on Academic Integrity, students are obligated to report any such activities to the Instructor.

Course Information

Course Description: This course will study SAS and R programming and emphasize the SAS and R data steps including getting data into the SAS and R environments, working and combining data using control flows, merge and subsets, etc. as well as learning to export data and to generate high resolution graphics. Several SAS and R statistical procedures or functions will also be discussed and illustrated. Finally, interactive statistical software JMP and Minitab are briefly introduced.

Number of Credits: 3

Prerequisites: Basic knowledge in statistical concepts or instructor approval.

Course-Section and Instructors

Course-Section Instructor
Math 660-101 Professor Y. Fang

Office Hours for All Math Instructors: Fall 2017 Office Hours and Emails

Recommended Textbooks:

  BOOK 1 BOOK 2
Title The R book The Little SAS Book: A Primer
Author M.J. Crawley Delwiche & Slaughter
Edition 2nd 5th
Publisher Prentice Hall SAS Institute Inc.
ISBN # 978­0470973929 978-1612903439

University-wide Withdrawal Date:The last day to withdraw with a w is Monday, November 6, 2017. It will be strictly enforced.

Policies

DMS Course Policies: All DMS students must familiarize themselves with, and adhere to, the Department of Mathematical Sciences Course Policies, in addition to official university-wide policies. DMS takes these policies very seriously and enforces them strictly.

Grading Policy: The final grade in this course will be determined as follows:

Assignments 30%
Midterm Exam 30%
Final Exam 40%

Your final letter grade will be based on the following tentative curve.

A 90 - 100 C+ 70 - 79
B+ 85 - 89 C 60 - 70
B 80 - 84 F 0 - 59

Attendance Policy: Attendance at all classes will be recorded and is mandatory. Please make sure you read and fully understand the Math Department’s Attendance Policy. This policy will be strictly enforced.

Exams: There will be one midterm exam (in-class part plus take-home part) during the semester and one comprehensive final exam (in-class part plus take-home part). Exams are held on the following days:

Midterm Exam October 19, 2017
Final Exam Period December 15 - 21, 2017

The final exam will test your knowledge of all the course material taught in the entire course. Make sure you read and fully understand the Math Department's Examination Policy. This policy will be strictly enforced.

Makeup Exam Policy: To properly report your absence from a midterm or final exam, please review and follow the required steps under the DMS Examination Policy found here:

Cellular Phones: All cellular phones and other electronic devices must be switched off during all class times.

Additional Resources

Accommodation of Disabilities: Disability Support Services (DSS) offers long term and temporary accommodations for undergraduate, graduate and visiting students at NJIT.

If you are in need of accommodations due to a disability please contact Chantonette Lyles, Associate Director of Disability Support Services at 973-596-5417 or via email at lyles@njit.edu. The office is located in Fenster Hall, Room 260.  A Letter of Accommodation Eligibility from the Disability Support Services office authorizing your accommodations will be required.

For further information regarding self identification, the submission of medical documentation and additional support services provided please visit the Disability Support Services (DSS) website at:

Important Dates (See: Fall 2017 Academic Calendar, Registrar)

Date Day Event
September 5, 2017 T First Day of Classes
September 11, 2017 M Last Day to Add/Drop Classes
November 6, 2017 M Last Day to Withdraw
November 21, 2017 T Thursday Classes Meet
November 22, 2017 W Friday Classes Meet
November 23 - 26, 2017 R - Su Thanksgiving Break - University Closed
December 13, 2017 W Last Day of Classes
December 14, 2017 R Reading Day
December 15 - 21, 2017 F - R Final Exam Period

Course Outline

Week Date Lecture Topic Notes
1  Sep 07 1  Introduction to SAS and R 
2  Sep 14 2   SAS tutorials I
3  Sep 21 3   SAS tutorials II
4  Sep 28 4   SAS tutorials III
5  Oct 05 5   R tutorials I
6  Oct 12 6   R tutorials II
7  Oct 19*     Midterm exam   In-class part
8  Oct 26 7   Descriptive analysis
9  Nov 02 8   Simple tests
10  Nov 09 9   Regression analysis I
11  Nov 16 10   Regression analysis II
12  Nov 21* 11   Categorical data analysis  Th classes meet on T
13  Nov 30 12   Data mining and machine learning basics
14  Dec 07     Final exam review
15  Dec 14*   Reading day  Final begins Dec 15

Updated by Professor Y. Fang - 8/31/2017
Department of Mathematical Sciences Course Syllabus, Fall 2017