MATH 663 Course Syllabus - SPRING 2014

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.
Number of Credits:  3
Course Description: Topics include summarizing and displaying data; basic probability and inference; Bayes' theorem and its application in diagnostic testing; estimation, confidence intervals, and hypothesis testing for means and proportions; contingency tables; regression and analysis of variance; logistic regression and survival analysis; basic epidemiologic tools; use of statistical software.

Math 661 and Math 663 cannot both be used toward degree credits at NJIT.

Prerequisites:  Undergraduate Calculus.

Textbook:  Introductory Applied Biostatistics by Ralph D’Agostino, Lisa Sullivan and Alexa Beiser. Publisher: Duxbury. ISBN-10: 0-534-42399-X;   ISBN-13: 978-0-534-42399-5

Course Objective:  This course will acquaint students with statistical techniques, with emphasis on applications in health related sciences.

Student Learning Outcomes:  Upon successful completion of this course, the student will be able to
 
1) Demonstrate understanding of various statistical terms and methods for summarizing and displaying data

2) Demonstrate their knowledge of basic probability and inference

3) Demonstrate conceptual understanding of sampling distributions and central limit theorem

4) Perform statistical analysis, such as estimation, hypothesis testing, regression, and analysis of variance.

5) Use statistical software and demonstrate basic understanding of survival analysis and epidemiologic tools

Assessment:

The assessment tools used will include regular homework assignments/quizzes, two mid-term exams, and a final exam. 

Instructor:   (for specific course-related information, follow the link below)

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

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

Drop Date:  Please note that the University Drop Date March 31, 2014 deadline will be strictly enforced.

Homework and Quiz Policy:  Homework/Quiz will be assigned on Moodle and in class.

Software: Minitab/SAS/Excel will be used in the course for assignments/demonstration in class lectures.

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

Exams and Exam Policy:  There will be two midterm exams during the semester and a final exam during the final exam week. Exams will be held on the following days:

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 department's Examination Policy This policy will be strictly enforced. Please note that electronic devices (such as programmable calculators, CD players, etc.) are not allowed during any exam.

Further Assistance:  For further questions, students should contact their Instructor. All Instructors have regular office hours during the week. These office hours are listed at the link above by clicking on the Instructor’s name.

Cellular Phones:  All cellular phones and beepers must be switched off during all class times and exams.

MATH DEPARTMENT CLASS POLICIES LINK 

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. For DMS Course Policies, please click here.

Course Outline:

                Disclaimer: There may be some changes.  Any modifications will be announced in class.     

                                                                                Modified By: Padma Natarajan. Last revised: December 23, 2013