Mathematical Sciences Home
About Mathematical Sciences
Why Study Mathematical Sciences at NJIT?
Our People
Academics
Undergraduate Majors and Minors
Research: CAMS
BS in Computational Sciences
BS/MS Program
Double Majors
Accelerated BS/MD Program
Transfer Credits
Undergraduate Admissions
Graduate Degree Programs
MS in Applied Mathematics
MS in Applied Statistics
MS in Computational Biology
MS in Biostatistics
PhD in Mathematical Sciences
Graduate Committees
Admissions Information
Careers in Math
Research Areas
CAMS Administration
CAMS Faculty
Other CAMS Faculty
Publications
Resources
NSF BioMath Training Program
NSF Computational Math Training Program
Math Seminars
News & Events
Info for Students
Undergraduate
Resources
Contact Us
Practice Problems in Algebra, Trigonometry, and Analytic Geometry (.pdf)
Course Information
Course Policies
Undergraduate Advisors
Research Opportunities
NJIT Math Club
Undergraduate Admissions
Graduate
Course Schedule
Common Exam Schedule
Final Exam Schedule
Office Hours & Email
Pre-calculus Course Sequence (.pdf)
Activities and Events
Fun Links
MATH 615 Course Syllabus
NJIT HONOR CODE: All Students should be aware that the Department of Mathematical Sciences takes the NJIT Honor Code 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 Honor Code, students are obligated to report any such activities to the Instructor.
Math 615-101: Approaches to Quantitative Analysis in the Life Sciences
FALL 2009
Textbook: Because of the variety of methods covered, there is no appropriate single textbook, and so one is not required. Students are, however, provided with a list of ‘reference’ texts for various disciplines and applications. Most of these are available in the library, and also available for consultation from the instructor’s private library. Students are encouraged to select and purchase at least one of the following reference books, when it becomes clear what sort of research they are likely to be doing.
▪ Legendre and Legendre: Numerical methods in Ecology.
▪ Ray Hilborn and Marc Mangel: The Ecological Detective. Princeton UP.
▪ Manley: Randomization, Bootstrap and Monte-Carlo methods in Biology. Chapman and Hall.
▪ Derek A. Roff: An Introduction to Computer Intensive Methods of Data Analysis in Biology. Cambridge UP.
▪ Emanuel Paradis: Analysis of phylogenetics and evolution with R (2006). Springer.
▪ Robert Sokal and James Rohlf: Biometry. W. H. Freeman.
▪ Nicholas Gotelli: A Primer of Ecological Statistics. Sinauer.
▪ Bolker, Benjamin: Ecological Models and Data in R. Princeton University Press. ISBN 0691125228.
Prerequisites: Basic undergraduate statistics.
Grading Policy: The final grade in this course will be determined as follows (standard grading curve applies):
|
▪ Homework: |
30% |
|
▪ Participation: |
20% |
|
▪ Term Paper: |
50% |
Drop Date: Please note that the University Drop Date November 2, 2009 deadline will be strictly enforced.
Attendance Policy: Students must attend all classes. Absences from class will inhibit your ability to fully participate in class discussions. Tardiness to class is very disruptive to the instructor and students and will not be tolerated.
Participation: You will be assigned readings, and may be asked by name to comment on the readings in class. You should also participate actively in discussions.
Makeup Exam Policy: There will be No make-up EXAMS during the semester. In the event the Final Exam is not taken, under rare circumstances where the student has a legitimate reason for missing the final exam, a makeup exam will be administered by the math department. In any case the student must notify the Math Department Office and the Instructor that the exam will be missed and present written verifiable proof of the reason for missing the exam, e.g., a doctors note, police report, court notice, etc., clearly stating the date AND time of the mitigating problem.
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. Teaching Assistants are also available in the math learning center.
Cellular Phones: All cellular phones and beepers must be switched off during all class times.
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.
| M |
Labor Day Holiday ~ University Closed |
|
| M |
Last Day to Withdraw from this course |
|
| T |
Classes follow a Thursday Schedule |
|
|
November 25, 2009 |
W |
Classes follow a Friday Schedule |
| R-Su |
Thanksgiving Recess ~ University Closed |
Course Outline:
|
Week |
Topics |
|
|
|
|
Week 1 |
Introduction To Statistical Models |
|
Week 2 |
Fitting Distributions And Models |
|
Week 3 |
Types And Management Of Data. Software Options |
|
Week 4 |
Classical Hypothesis Testing |
|
Week 5 |
COMPUTER LAB — Basic ANOVA Using A Software Package |
|
Week 6 |
Alternative Frameworks For Statistical Inference |
|
Week 7 |
Non-Parametric Approaches |
|
Week 8 |
Autocorrelation |
|
Week 9 |
Approaches To Time Series And Spatial Data |
| └► |
(Mon. Nov. 2) Last Day to Withdraw from this course |
|
Week 10 |
Multivariate Data 1: Multiple Tests, Parsimony |
|
Week 11 |
Multivariate Data 2: Data Reduction |
|
Week 12 |
Student Case Study Presentations |
| └► |
(Tues. Nov. 24) Classes Follow A Thursday Schedule |
|
Week 13 |
Student Case Study Presentations |
| └► |
(Thurs.-Sun. Nov. 26-29) Thanksgiving Recess ~ University Closed |
|
Week 14 |
Student Case Study Presentations |
|
|
|
|
Finals |
Final EXAM Week: December 11-17, 2009 |
Prepared By: Prof. Gareth Russell
Last revised: August 24, 2009