MS OSHE CORE & ELECTIVE COURSES & COURSE OUTLINES/SYLLABI
Core Courses
(3 credits each) six mandatory courses
IE 614 Safety Engineering Methods
IE 615 Industrial Hygiene and Occupational Health
IE 604 Advanced Statistics
IE 665
Applied Industrial Ergonomics
IE 685 System Safety Engineering
EM 633 Legal Aspects of Health and Safety
Elective
Courses (3 credits each) choose six courses
BME 670 Introduction to Biomechanical
Engineering
BME
671 Biomechanics of Human Movement and Structure
EM
631 Legal Aspects of Environmental Engineering
EvSc
613 Environmental Problem Solving Seminar
IE
651 Industrial Simulation
HRM
601 Organizational Behavior
Math
663 Introduction to Biostatistics
EM
636 Project Management
EM
634 Legal, Ethical and Intellectual Property Issues for Engineers
EvSc
603 Hazardous
Waste Operations and Emergency Response
EvSc 616
Toxicology for Engineers and Scientists
IE 700 Masters Project
IE 725 - Independent
Research: Prerequisite: approval from the industrial engineering program
director. Program of study prescribed and approved by student's advisor. This
special course covers areas in which one or more students may be interested but
is not of sufficiently broad interest to warrant a regular course.
IE 701 - Master's Thesis (6 credits) optional (replaces two
elective courses)
Prerequisites: matriculation for the master of science degree,
thesis advisor's approval, and adequate graduate courses in the field of the
proposed thesis. Candidates for the degree who choose this option must submit
an acceptable thesis on an approved subject that contributes to the literature
of the field, and preferably aids the candidate's present or potential, career.
While original research may not always result, the thesis should provide a new
conclusion or application. Approval to register for the thesis must be obtained
from the thesis advisor. A student must continuously register for a minimum of
3 credits per semester until the thesis is completed. Total credit will be
limited, however, to the 6 credits indicated for the thesis.
COURSE OUTLINE: IE 614 Safety
Engineering Methods Spring 2010
Department
of Industrial Engineering
Instructor: George
Olsen, PhD,
College of Computing Sciences
New Jersey Institute of Technology
Contact: 973-596-3389 [office]
Office
4414
E-mail: golsen@njit.edu
Textbook: Hansen,
E.E., Engineering and Technology;
13th Edition, Ed.,
Description: The application of selected safety engineering
methods to detect, correct and prevent unsafe condition and procedures in
future practice are discussed. Methods
selected are from safety management and programs; loss prevention; fire
protection; systems safety; the design of building and other facilities;
products; machines; and equipment.
Engineering problems and solutions in designing and constructing
hazard-free environment are presented including OSHA requirements and consensus
standards. Selected engineering topics
will be covered as part of the various topics below to prepare students for the
ACSP exam.
Evaluation: Midterm Exam - 20%
Final Exam - 30%
Project 20%
Assignments 15%
Oral Presentations 15%
Honor: In accordance
with the NJIT honor code, students are expected
Code: to do
their own work. If they use somebody
elses work, then that fact should be documented. Individual work is to be done individually
and not copied from others and it is expected that you will perform all exams
without consulting others and do your own work on any assignments. Consulting with others on general approaches
to take in an assignment is considered acceptable, but copying assignments from
others or working the majority of the assignment together is not
acceptable. Of course group work is done
in a group. See http://www.njit.edu/academics/honorcode.php
for more information on NJITs honor code.
CLASS SCHEDULE
Week Topic
1 Introduction,
Background and History of Safety
2 Regulatory
History and Illness Record Keeping
3 Workers
Compensation
4 Designing
for Safety, Buildings and Facility Layout; Chap
1, 2, 4
Maintenance
of Facilities
5 Safeguarding Chap
6
6 Personal
Protective Equipment Chap
7
7 -8 Electrical
Safety Chap
10
MIDTERM
9 Fire
Prevention/Protection Chap
11
10 Materials
Handling (1) Chap
15, 16
11 Materials
Handling (2) Chap
17, 18
12 Production
Operations; Power Tools; Machinery Chap
20, 22, 23
13 Automation
and Safety, Computers and Safety, Chap
26, 27
Future
of Safety
14
Final
Reports
15 Final
Exam
COURSE OUTLINE: IE 615 Industrial Hygiene
and Occupational Health, Spring 2010
Instructor: William A. Biolsi, CIH
(retd), CSP (retd), wbiolsi@njit.edu
Text: Fundamentals of industrial hygiene, 5th Ed., Barbara A. Plog (Ed.), National Safety Council, 2002
Class Schedule: 6:00-9:05 p.m., room TBA.
Objectives: An introduction to
industrial hygiene is presented.
Recognition, evaluation and control of human exposure to noise, heat,
bio-hazards, chemicals, radiation and improper lighting are discussed. Government standards, field measurements,
work practices, engineering designs and the effects of excessive exposure on
worker health and productivity are addressed.
(ii) Recognition of health hazards in industry, 2nd Ed., William A. Burgess, NY: John Wiley & Sons, 1995
|
|
DATE |
TOPIC |
|
|
|
|
1/25 |
Industrial Hygiene Overview Occupational Health and Safety |
|
Chps. 1 For more see Appendix A and Part VI |
|
|
2/1 |
Industrial Toxicology |
|
Chap 6 |
|
|
2/8 |
The Respiratory System; Particulates; Diseases of the Lungs |
|
Chap 2, 7 & 8 |
|
|
2/15 |
The Ear, Industrial Noise |
|
Chap 4 & 9 |
|
|
2/22 |
The Skin, Occupational Dermatoses; Temperature Extremes |
|
Chap 3 & 12 |
|
|
3/1 |
Non-Ionizing Radiation; The Eye; Ionizing Radiation |
|
Chap 5, 10 & 11 |
|
|
3/8 |
Ergonomics |
|
Chap 13 |
|
|
3/15 |
MIDTERM EXAM |
|
|
|
|
3/22 |
SPRING RECESS |
|
|
|
|
3/29 |
Evaluation of Industrial Hazards: The Survey |
|
Chap 15 |
|
|
4/5 |
Air Sampling and Analysis |
|
Chap 16 & 17 |
|
|
4/12 |
Control of
Industrial Hazards |
|
Chap 18 |
|
|
4/19 |
Ventilation |
|
Chap 19, 20 & 21 |
|
|
4/26 |
Biological
Hazards |
|
Chap 14 & 22 |
|
|
5/3 |
Review for final |
|
|
|
|
5/10 |
FINAL EXAM |
|
|
Grading: Midterm 25%; Final exam 30%
Quizzes 35%; OUTLINE 10%
COURSE
OUTLINE: IE 604 Advanced Statistics
GITC 2305- 6-8:55pm
Instructor:
Prof.Bengu , ME 332, gb@nj.rr.com
Office Hrs:Fridays 1:00-3:00 pm , Others
by appointment
Textbook: Design
and Analysis of Experiments,
7th edition, by D.C. Montgomery, John
Wiley & Sons,
About the Course:
The course objective is to learn how to plan, design
and conduct experiments efficiently
and effectively, and analyze the resulting data to obtain objective conclusions. Both design
and statistical analysis issues are discussed. All experiments conducted by
engineers and scientists are designed experiments; some of them are
poorly designed, and others are well-designed.
Well-designed experiments allow you to obtain reliable, valid results faster,
easier, and with fewer resources than with poorly-designed experiments.
You will learn how to plan, conduct and analyze experiments efficiently in this
course. A well-designed experiment can lead to reduced development lead time
for new processes and products, improved manufacturing process performance, and
products that have superior function and reliability.
About the Course Work:
The course schedule and outline contains assigned reading
topics from the textbook and suggested
set of homework problems. Instructor will assign the actual
homework problems in the class. In addition to the textbook reading assignments
you may also want to read some of the supplemental text material for
each Chapter. This material is found on
the World Wide Web page for the book maintained by the publisher, John Wiley
& Sons. See the text Preface for more details.
There will be a quiz and a final exam and a semester project presentation and the report submission. Depending on the class
progress there will be
few pop quizzes. Homework assignments are intended for practice and
they ARE required to be submitted although they will not be graded. However,
all the homework questions will be either solved in class and/or solutions will
be provided. Questions when solved in
class will be done together with students by having students play an active
role in solutions.
Academic Integrity is important component of the
future of the students and the University (and eventually our country). NJIT honor code will be uphold, any
violations will be submitted to dean of Students. Please do not put your Instructor in this position!
If instructor asks you to submit your technical
reports (semester projects) via turnitin to our class account in turnitin, use Turnitin.com
at NJIT, see http://www.njit.edu/v2/tlt/turnitin/index.html.
Instructor will provide further details.
Course Outline and Schedule
|
Sec-tions |
Topic |
Text
Reference |
Suggested
Exercises |
|
1 -2 |
Introduction to DOE, begin review of
basic statistical concepts Continue statistics review; the t-test and
confidence intervals |
|
2-5, 2-11, 2-12, 2-22 |
|
Introduction to the analysis of variance (ANOVA) |
|
3-6, 3-9 |
|
|
3 |
Some practical aspects of planning Experiments |
Suggested
supplemental reading: Coleman, D.E.
and Montgomery, D. C. (1993), Planning for a Designed Industrial
Experiment, Technometrics, Vol. 35, No. 1, pp. 1-12. |
|
|
3 |
More about ANOVA; multiple comparisons, residuals and model adequacy checking, checking model assumptions, the Box-Cox method |
Sections 3-4, 3-5, and 3-6 |
3-1, 3-3 |
|
|
|
||
|
4 |
The randomized complete block design (RCBD), Latin squares, etc. |
Section 4-2 |
4-5, 4-6, 4-7 4-15 |
|
5 |
Factorial designs |
|
5-4, 5-5 |
|
Sections 5-4, 5-5, 5-6 |
5-17, 5-21 |
||
|
6 |
Quiz 1 |
|
|
|
7 |
2k factorial designs Blocking and confounding in two-level factorial
designs, 2k, |
through 6-6) through 7-5) |
6-1, 6-5, 6-6 6-18. 6-19, 6-26, 6-27 7-1, 7-4, 7-7, 7-9 |
|
8 |
2k-p fractional factorial designs, |
through 8-6) |
8-3, 8-6, 8-24 8-26 8-4 8-23, 8-29 8-27, 8-5 |
|
9 |
Response surface methods and designs (an overview) |
and 11-3) |
11-1 |
|
10 |
Split-plot designs |
|
13-19 |
|
11 |
Final Exam/Presentation/Report |
|
|
Grading
Your grade in the course will be determined by a quiz
scores (30%), a final exam (30%), a semester project (30%) and homework and pop
quizzes (% rest).
Academic Calendar
RED colors indicate IE
604 Schedule
|
August 31 |
Monday. First Day of
Classes |
|
September 5 |
Saturday Classes Meet |
|
September 7 |
Friday Labor Day-No Classes Scheduled |
|
September 8 |
Last Day to Add a Course |
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September 9 |
W grade posted |
|
September 14 Oct.12 |
Last Day for a refund Partial
Withdrawal- |
|
October 15 |
Deadline for Applying for January Graduation (No
Ceremony) |
|
October 19 |
Last Day for a refund based on
a Complete Withdrawal |
|
November 2 |
Last Day to Withdraw from course(s) |
|
Nov 9 |
Registration begins for Spring 2010 |
|
November 15 |
Deadline for Applying for May Commencement Ceremony |
|
November 24(Tue) |
Classes Follow a Thursday Schedule |
|
November 25(Wed) |
Classes Follow a Friday Schedule |
|
November 26-29 Nov. 30 Dec 7. |
Thanksgiving Recess-No Classes (Thursday till
Sunday) Final Project
Report Due- Last Class of IE 604 |
|
December 9(Wed) |
Last Day of Classes |
|
December 10 |
Reading Day |
|
December 11-17 |
Final Exam Period
|
|
|
|
|
December 18 |
Fall Grades Due in
Registrar's Office |
Reference:
Applied Statistics and Probability for Engineers, Fourth Edition, Douglas C.
Montgomery,
·
Njit Moodle Highlander pipeline / and in addition
·
http://bengu-pc2.njit.edu/bengu/courses/statistics/indexlogin.html
·
Minitab
Statistical Software
This software is used for design of experiments and analysis, regression and ANOVA, as well as
statistical analysis of two sample comparisons, ranging from six-sigma to design of
experiments.
·
Microsoft Excel
Students are briefly initiated into use of software tools for statistics using
Excel .
(valuable practical skills that students can apply immediately) . See Excel- Data
Analysis tools- Add-in.
·
Statistical Analysis Software (SAS)
This software provides a higher level of sophistication in applying statistical
techniques through topics such as advanced data management and predictive
analytics. The students are given an introduction and they use the software to
work out examples. There is also other
software available for example, a Web-based statistical software statcrunch
(http://www.statcrunch.com).
Each student will submit a
team based course project involving the application of statistical analysis
techniques using DOX on a case study approved by the instructor. Students are
expected to use software tool such as Minitab and SAS in their project.
1) The final project report and 2) project presentation 3) software file with
data are due the last day of the class.
Presentation is due during the final exam week.
Suggested
Projects are available in the course web site. The project examples are also on
the web site. Student initiated projects are encouraged but requires instructor
approval. If data files are obtained from other sources, instructor must be
informed the source of the data.
Students are also encouraged to work in groups, but a group of more than
2 members requires instructor approval. A detailed Project format and
guidelines are available on the course web page. (see course project schedule section also)
For the exam, only simple calculators which cannot
store formulas allowed. And no notes are
allowed.
◘ Attendance is required. The attendance records will be submitted to
university administrators as they need to know the dates you missed classes.
The students who are sitting front must pass a paper for attendance every
class.
◘ Homework: Homework problems are assigned
weekly. It is due the following week and need to be submitted at the beginning
of the class so that the HW can be solved in the class. Solutions provide
feedback to the student. Students are
encouraged and will be asked to take part in the solution process. Do
not ask the instructor to accept your homework, after homework solutions are
given out. Students can also submit their homework
through our class web site.
(Homework portion of your grade can be built by taking part in
these solutions actively.
Preparing/copying homework solutions during the class and simply
submitting some answers, does not help you to improve your grade but just the
opposite; these students miss the opportunity to learn the subject
as well miss the opportunity to take part in the solutions as well. In this class you are graded by how much you
take part in class solutions rather than what you have submitted alone. )
Solutions must be done
manually (preferably type written- use
equation editor that comes with word) and must be supported by the computer
solution as well. Student must learn not only the
theories/techniques to manually solve questions, but as well as the use of the
software. Although software use helps
students [ 1)to check their homework answers 2) to be computer savvy 3) to be prepared for todays work environment and be efficient at work
from early start, 4) more attractive resume] the main part of the
grade will be based on manual solutions based on your understanding of the
theory (this is the part which gives you
the job flexibility).
There will be 2 or more brief
pop up quizzes to test the overall class knowledge on the material covered.
◘ Exams
& Quizzes:
Students will
be provided a brief formula sheet
during the exams containing only complex formulations and tables. Students are expected to bring these formula
sheets to every class and familiarize themselves with these equations/tables
during the class rehearsal period. Exams
will be completed in two phase: 1st phase: students solve the questions that require
manual calculations with simple calculators and submit the answers, then 2nd phase: resolve the questions
requiring computer use and submit the second set of answers.
◘ No
Makeup Exam: There will
be NO makeup exams, quizzes during the semester. In case of an extenuating
circumstances such as illness, etc., where the student has a legitimate reason
for missing the exam, a makeup exam will be administered by the MIE department. Student must notify the Department Office and the Instructor
why the exam will be missed and present
written verifiable proof to confirm the reason for missing the exam, e.g., a
doctors note, police report, court notice, etc., clearly stating the date AND
time of the problem.
◘ COURSE PROJECT SCHEDULE
1st-2nd WEEK Students are expected to decide on a
subject they want to work on (see
Web Site for example projects ) after the second class.
The idea is to implement the methods students learned in class, on their
data set regularly every week.
3rd - 5th WEEK Team up with another classmate and submit your project proposal. Check the required format and the guidelines from the Moodle course web site. Use table of contents to write about the methods you want to use in your project. Those who do not submit their project proposal will not be eligible to present their projects.
6th - 8th WEEK Complete a literature search on - your subject and any statistical analysis techniques you are employing- For example search for the following key words An article about forecasted temperature data and DOX or regression or ANOVA or
An article about homerun data and DOX. Obtain at least 2 papers on your subject and review the papers and briefly summarize the related work. Follow these articles write up format for your project report.
9rd - 12th WEEK Check your progress with your instructor. Follow up on the suggestions given.
LAST Day of class Make sure that you
1) upload your files to
course website by that time and
2) submit a hard copy to
instructor
or leave a copy in
the mail box in the MIE dept. office, ME
bldg..
(Use your last names as
filename; NamesProject.doc and follow project submission guidelines thoroughly)
COURSE
OUTLINE: IE 665
Applied Industrial Ergonomics (Fall 2009)
|
Sect |
Days |
Times |
Room |
Credits |
|
101 |
Wednesday |
0600pm - 0900pm |
TIER 108 |
3.00 |
Instructor
Dr. Arijit K. Sengupta,
Email: sengupta@njit.edu,
Web: http://web.njit.edu/~sengupta/
Office: GITC 2517, NJIT
Office Hours: Monday 10:30 am to 11:55 am. Other time by appointment
Catalog Description
Introduces the fundamentals and applications of industrial
ergonomics for improving equipment, tool, workplace, and job design. Engineers,
as well as safety and health professionals, will benefit from the course by
understanding the design principles for human operators and current issues in
industrial ergonomics, and a variety of evaluating methodologies for the
design.
Textbook
Work Design: Industrial Ergonomics by Stephan A. Konz and Steven Johnson, latest
edition, ISBN: 1-890871-79-6.
Lecture notes and other relevant materials, which will be posted on this
page, are also required reading for the course.
Course Outline
Tentative weekly schedule of lecture topics (Any change will be notified
beforehand in the class)
|
Week |
Topic |
|
Sep 2 |
Introduction of
ergonomics (handout
version), Homework
, term
project outline |
|
Sep 9 Sep 16 Sep 23 |
Muscular
contraction Lecture
note
Quiz |
|
Sep 30 |
Anatomy
of cardiovascular system Handout |
|
Oct 7 |
Temporal
Ergonomics Handout
Quiz |
|
Oct 14 |
Engineering
anthropometry, percentile calculations, use of data handout |
|
Oct 21 |
Midterm Exam |
|
Oct 28 |
Workstation Design continued |
|
Nov 4 |
Musculoskeletal
Disorders RULA analysis
exercise MDS
quiz |
|
Nov 11 |
|
|
Nov 18 |
|
|
Dec 2 |
Term Project Presentation |
|
Dec 9 |
Final Exam |
Grade Distribution
Quizzes, Lab, attendance and class participation (15%)
Term project (25%) with a report a class presentation on an ergonomics topic.
Midterm and Final Exam (30% each)
NJIT Honor code constitution will be followed
COURSE
OUTLINE: IE 685 System Safety
Engineering, Fall 2009
Department of Industrial Engineering
Instructor: George Olsen, Ph.D, CSP, PE., College of
Computing Sciences
New Jersey Institute of Technology,
Contact: 973-596-3389
[office]
Office
4414
E‑mail: golsen@njit.edu
Textbook:
Vincoli, Jeffrey, Basic
Guide to System Safety, Wiley-Interscience, 2006.
ISBN-13:
978-0-471-72241-0
Description:
The course will
focus on systems safety engineering and design safety. The various topics include developing and
implementing system safety programs, system safety planning, decision making using statistical
tools, and system safety engineering analysis techniques and methods.
Evaluation: Midterm
Exam ‑ 20%
Final
Exam - 30%
Project
20%
Assignments
20%
Oral
Presentation
10%
Honor
Code: In accordance with the NJIT honor code, students
are expected to do their own work. If
they use somebody elses work, then that fact should be documented. Individual work is to be done individually
and not copied from others and it is expected that you will perform all exams
without consulting others and do your own work on any assignments. Consulting with others on general approaches
to take in an assignment is considered acceptable, but copying assignments from
others or working the majority of the assignment together is not
acceptable. Of course group work is done
in a group. See http://www.njit.edu/academics/honorcode.php
for more information on NJITs honor code.
CLASS
SCHEDULE
Week Topic
1 Introduction, Background
and History of System Safety Chap
1, 2
2 Connecting System Safety
and Industrial and Chap
4
Construction
Safety
3 Project Introduction
4 Quantitative Tools for
System Safety Decision Making Chap
5
5 Quantitative
Tools for System Safety Decision Making Chap
5
Continued
6 Quantitative Tools for
System Safety Decision Making Chap
5
Continued
7 System Safety Analysis
Introduction Chap
6
Preliminary
Hazard Analysis
8 Midterm
- Oct 20
9 Subsystem and System
Hazard Analysis Chap
7
10 Other System Safety
Analysis Techniques Chap
8-11
11 Fault Tree Analysis Chap
12
12 Fault Tree Analysis Chap
12
Continued
13 MORT, HAZOP, Human
Reliability, Chap
13, 14
and
Software Safety
14 Final Project Reports
15 Final Exam
COURSE OUTLINE: EM 633 Legal Aspects of Health and
Safety, Fall 2009
Course Description: This course reviews key laws and regulations to
occupational health, safety and product liability; methods to determine which
codes apply in given situations; and the preparation of operating procedures to
be used for internal compliance.
Instructor: Dr. Norman J. Van
Houten, Director
NJIT Dept. of Health &
Environmental Safety
Phone: (973) 596-3059 email: safetydirector@yahoo.com
Course Outline
Aug.31 Introduction
Course Outline
Sept. 7 Labor Day University
closed
Sept 14 Right to Know
Hazard Communication
Sept 21 Workmans
Compensation, Accident Investigation, Risk
Sept. 28 Fire
Prevention/Inspection NFPA
Oct 5 Environmental
Compliance Title 7 DEP
Oct 12 Environmental
Compliance Title 8 DOH
Oct 19 MID TERM EXAM
Oct 26 Radiation Compliance
Product Safety
Nov 2 - Presentations
Nov 9 OSHA
Nov 16 OSHA Term Papers
Due
Nov 23 Liability Factors
for the Safety Professional/Ethics
Nov 30 Ethics/Legal issues
Dec 7 Review for Final Exam
Dec 14 Final Exam
Book: OSHA Inspections
Preparation and Response
Rick Kaletsky
National Safety Council
Grading Percentages: Term Paper 40
%, Mid Term 30 %, Final Exam 30%
COURSE OUTLINE: BME 670 Introduction to
Biomechanical Engineering, Fall 2009
Dr. William Van Buskirk
Or by appointment: vanbuskirk@njit.edu
Introduction to solid and
fluid mechanics with biomedical applications.
Vector analysis.
Equilibrium.
The NJIT Honor Code will be
upheld. Any violations will be brought
to the immediate attention of the Dean of Students. Deviations from this syllabus will be
discussed with the students.
Office Hours: Wednesdays 3:00-4:00 PM and Thursdays
2:30-3:30 PM. Other times by appointment
Kai Chen, M.S., Teaching
Assistant email kc72@njit.edu
Course Requirements:
Homework- (approximately 10
assignments which may be done collaboratively) --25%
Exam 1 --25% (open book, open notes)
Exam 2 --25% (open book, open notes)
Final --25% (open
book, open notes)
Some assignments and sample
data will be sent via email to the addresses contained in NJITs list of
registered students. Unfortunately, no
substitute addressed can be used.
The NJIT Honor Code will be
strictly enforced. Any violation will be
reported to the Dean of Students for resolution.
Course Schedule
9/6 Human Movement Winter
Ch. 1/ Vaughn Ch. 1
9/10 Kinematic data and instrumentation Winter Ch. 2/Vaughn
9/12 (Wednesday) Optional Matlab Tutorial-2:30-3:45
9/13 Kinematic data and instrumentation Vaughn Appendix 3
9/17 Filtering and processing of kinematic data Handout
9/20 Filtering and processing of kinematic data
9/24 Numerical computation of velocity and acceleration Winter Ch. 2
9/27 Anthropometry Winter
Ch. 3
10/1 Kinetics-ground force reactions and joint moments Winter Ch. 4/Vaughn Ch 3
10/4 Kinetics-continued
10/8 Exam 1
10/11 Demonstration of motion-capture instrumentation
10/15 Dynamic Modeling-Newtonian Solutions Handout
10/17 (Wednesday) Optional Simulink tutorial 2:30-3:45
10/18 Dynamic Modeling-Newtonian Solutions
10/22 Dynamic Modeling-Newtonian Solutions
10/25 Lagrangian Solutions Winter
Ch. 6/ Handout
10/29 Lagrangian Solutions
11/1 Simulation of Multi-degree of Freedom Systems
11/5 Mechanical work, energy and power Winter Ch. 5
11/8 Mechanical work, energy and power
11/12 Exam 2
11/15 3D Biomechanics Winter
Ch.7
11/19 Muscle Mechanics and EMG Winter
Ch.8&9//Vaughn Ch. 4
11/20 (Tuesday) Muscle
Mechanics and EMG- Studio Handout
11/22 Thanksgiving NO class
11/22
11/26 EMG Studio
11/29 Posture and balance Winter ABC
12/3 Ambulation of Humans and Animals Vaughn
Ch. 2
12/6 Ambulation of Humans and Animals
12/10 Clinical and pathological Gait Analysis Vaughn Ch. 5
TBA Final
Exam
Changes in Schedule will be made only with the approval of the class.
This course requires the use
of Matlab and Simulink. Both Matlab and
Simulink can be downloaded from NJITs website at no cost for registered
students http://csd.njit.edu/software/matlab/
During installation Matlab, Simulink, as well as the signal processing,
optimization, data acquisition, and symbolic toolboxes should be selected. For
those who are unfamiliar with Matlab, an excellent book is available in the
NJIT bookstore. Mastering MATLAB 7 Duane C. Hanselman,
Bruce L. Littlefield can be found under BME 788-003. Optional
tutorials will be offered (see course schedule).
COURSE OUTLINE: EM 631 Legal Aspects of Environmental
Engineering
Instructor: M. P. Bonchonsky,
Chemistry and Environmental Science Department, NJIT
Office: Rm. 365 Tiernan
Hall; Telephone: cell 908-692-3477
This course is being
presented on NJITs Moodle web system; email through Moodle or
1. Introduction
This course covers the legal
aspects of environmental engineering and reviews the major features and
principles of modern environmental law. Topics include as one example the major
features of the Clean Water Act and related programs for protecting the water
environmental. In similar manner each of
the major environmental laws will be reviewed and synthesized (see syllabus
topics below.) Primarily for non-lawyers.
Course Credit hours: 3.
2. Required
Students in this course
should obtain the following materials from the NJIT bookstore or through any of
the commercial on-line dealers.
Text: Environmental Law
Handbook current ed: 20th, 2009 Government Institutes, Inc.,
Scarecrow Press.
Lectures available
through link posted on NJIT Moodle site for this class
Each week a chapter
pertaining to the area of environmental law presented is to be read. The
assigned chapter is designed to give you background knowledge needed to
understand the subject matter covered in the weekly lecture found on website.
The chapter for each topic should be read prior to the lecture. The more you
are able to read the better prepared you will be to understand and consider the
information in the lectures. Also, each week review questions are posted on the
web site highlighting important features of the weeks material.
I will supplement the
readings with handouts and journal articles that will be available on Moodle.
3. Evaluation
The evaluation of
student performance in this course is based on the following components:
Note: Exams must be
attended on campus on a date and time to be set by NJIT CPE Division (we are notified
as to specific date by NJIT CPE Division early in the semester. Note the Final is generally the first
Saturday of the final exam period and the midterm is also a Saturday midway
through the semester). If you are greater than 50 miles from campus,
you may select and identify an approved proctor to administer the exam;
attendance on campus for the exam is preferred (it is administratively easier
for all concerned). As soon as I am
notified of the on-campus date and room, you will be notified through Moodle.
1. Midterm examination (50%): There will be a midterm
exam comprised of primarily short essays.
This exam will be based on course lectures, discussion sessions, and
assigned readings.
2. Final examination (50%): There will be a final
exam conducted during the end-of-semester exam period. The format of the final
exam will be the same as the midterm exam; it will be based only on course
material covered during the second half of the semester.
3. If optional writing assignment is
chosen the midterm will be weighted 40%, final 40% and paper (20%). You are to prepare and
submit on-line a five page double space paper (12 pt font) to include a summary
and discussion of how environmental change was induced by either of the two
books assigned for the semester: Silent Spring, R. Carson or A Civil
Action, J Harr. References required (at least five). Due three weeks before
the final. Reminder will be sent.
Note: Class participation: Students are
expected to check in to Moodle each week to receive review questions and
summaries on the weeks material.
Discussion items and commentary must be posted on Moodle.
4. Important Notices
A.
Students
enrolled in this course are forewarned that the consequences of plagiarism or
academic misconduct of any kind are severe. Violations will be handled in
accordance with the rules outlined in the NJIT Student Handbook (current
edition). If you are unfamiliar with these procedures, you should consult the
appropriate section of this governing manual.
B.
Final
grades are not subject to post-semester adjustmentwith the exception of the
amendment of a grading error. Under no circumstances will students be given the
opportunity to complete extra-credit papers or other assignments to bolster
their final grades.
Required: Text: Environmental Law Handbook, current ed.
(current edition: 20th edition, 2007) Govt Institutes, Inc.
Rockville, MD (available in the NJIT bookstore; order online from NJIT by going
to bkstr@njit.edu, or from other vendors).
One of two books also required
reading from which you may choose: A
Civil Action (by Jonathan Harr) or Silent Spring (by Rachel Carson).
ITunesU lectures required are
available through link on Moodle, or separate ITunesU log-in. We will use NJIT Moodle system as the central
communication forum (check Moodle site weekly, email to me via Moodle).
Following the class lectures
each week progress through the subject matter as follows:
Final
and midterm as announced by University (I will send an email on this generally
in first three weeks of class) . Both
will be held on campus on a Saturday designated and proctored by NJIT Office of
CPE. If you are beyond 50 miles from
school you may contact me to discuss the use of a proctor of your choosing (A
responsible person who you identify to me for approval in advance of exam.)
Please note that you need to
follow the syllabus (above) each week through the e-lectures, read the
associated textbook chapter (e.g., water law lecture connects with water law
chapter, etc.). There will be a mid
semester test and a final exam, and a current required book reading from which
you may choose, A Civil Action (by Jonathan Harr) or Silent Spring (by
Rachel Carson). Grade based on 50%
midterm, 50% final exam. An optional
paper on the selected book may be chosen in which case the scoring will
be 40%(MidT), 40%(Final), 20% for the paper.
I will from time to time provide additional outline type material and
review questions to help you focus on critical areas. Communicate questions to me at any time via
email (use primarily Moodle email). I
look forward to working with you as you join me in examining the fundamentals
of our system of environmental law.
COURSE OUTLINE: EvSc
613 ENVIRONMENTAL PROBLEM SOLVING
SEMINAR
Instructor: Jerry English, Esq.
GOALS AND OBJECTIVES: For the students to appreciate
HOW decisions are made, to learn to plan a presentation and to learn to
recognize the policy issues associated with the topic.
FORMAT:
1. A short introduction of the panel
2. A five-minute opening by each panelist
3. A moderated discussion and answer period
You may address the problem with
great detail or the widest latitude. We cannot emphasize enough that sharing your
particular experience with the students will be the most important part.
The students form consulting
companies for this course. In April they will compete with solutions to the
problem to be presented to the Staff of the Port Authority of New York and
Seminar sessions begin at 3:30
p.m. and are held in the
PLEASE, we need a current resume
for introductory purposes. Respond to Barbara Watters in Mrs. English's office,
908-233-6800 x-2625 or bwatters@lindabury.com. Resumes can be faxed (908-233-5078),
e-mailed or mailed to Barbara Watters, Lindabury, McCormick, Estabrook &
Cooper,
SCHEDULE FOR ENVIRONMENTAL
PROBLEM SOLVING SEMINAR
Spring 2010
Introduction
January 19
Regulations and Rule Making January
26
Public Policy February
2
News Media February
9
Finance February
16
Bidding Session February
18
(Port Authority of NY & NJ -
10 a.m.
Two
Science and Technology February
23
Public & Private Rights
& Remedies March
2
Conservation Techniques March
9
Spring
Politics of the Environment March
23
Public Participation March
30
Public Works April
6
NO MEETING April
13
Proposals due April
20
Presentation to Port Authority
Staff April
27
COURSE
OUTLINE: IE 651
Industrial Simulation
Instructor:
Prof.Bengu , ME 332, gb@nj.rr.com
·
ARENA v13
Professional Simulation Software
·
Minitab & Microsoft Excel for two-sample comparisons (t-test), more than two-sample
comparisons (ANOVA) , and multi-factor and multi-sample analysis using design
of experiments.
The pre-requisites are CIS
101 and IE 331 or equivalent.
This course introduces the
application of simulation modeling for the analysis of complex industrial,
manufacturing, industrial service and social processes and systems. Examples
are selected from real-life problems and situations such as automated material
handling, robotics, transportation, and hospital emergency rooms design,
Emergency Room Management, Conveyors and Material Handling System Design,
Hospital Management, Bank System Design, Airport System Design,
By the end of the course the
students would have learned the following:
1.
Understand the concepts and the power of
simulation modeling and analysis techniques
2.
Learn to build
simulation models & use tools and calculate the performance measures.
3. Familiarize and acquire knowledge of industrial simulation models
4. Learn classical statistical techniques for analysis of simulation data.
5. Learning to work as part of team, taking responsibility and delivering it (Semester projects) and develop Communication skills Presentation skills (Semester Projects).
Ψ Introduction
to Simulation
Ψ General Principles of Simulation
Ψ Simulation of Manufacturing Systems
Ψ Statistical Models in Simulation
Ψ Random Variate Generation
Mid-Term Exam I
·
Verification & Validation, Calibration of
Models, Face Validity
·
Comparison and
Evaluation of Alternate Systems
· Simulation Examples,
· Programming Languages
· High Level Simulation Modeling
Mid-Term Exam II
·
Arena Simulation Software
·
Input Modeling
·
Output Data Analysis: Confidence Intervals,
Final Exam & Project
Presentations
Exam
1 20%
Exam
2 20%
Final
Exam 30%
Course
Project 20%
Homework/Attendance 10%
Students will have 3 exams in
the course; none of the exams are optional. The exams collectively make up 70%
of the grades. The course project is also important in measuring the student
outcome and makes up 20% of the grades. Students who are diligent in attending
the classes regularly and submitting the assignments can earn as much as 10% of
the grades. The grading scale for the course is as follows:
Percentile Grade
90-100 A
80-90 B
70-80 C
Each student will submit a
team based course project involving the application of simulation modeling and
analysis on a case study approved by the instructor. The final report and
project presentation is due the last day of the class. Students are expected to
use the Arena simulation modeling software in their project.
Recommended references:
Alexopoulos, Christos and Andrew F. Seila.
1998. Advanced Methods for Simulation Output Analysis. In Proceedings of the
1998 Winter Simulation Conference, Volume 1, eds. D. J. Medeiros, Edward F.
Watson, John S. Carson, and Mani S. Manivannan, 113-120.
Altiok, Tayfur, and Benjamin
Melamed. 2001. Simulation Modeling and Analysis With
Arena.
Banks,
Jerry, and Randall Gibson. 1996. Getting Started in
Simulation Modeling. Industrial Engineering Solutions 28(11):34-39.
Banks,
Jerry, and Randall Gibson. 1997. Don't Simulate When
10 Rules for Determining when Simulation Is Not Appropriate. Industrial
Engineering Solutions 29(9):30-32.
Buzacott, John A., and J. George Shanthikumar. 1993. Stochastic
Models of Manufacturing Systems.
Garnett,
Jeremy. 1999. The Last Word on Simulation. IIE Solutions
31(1):45-47.
Harrell, Charles, and Kerim Tumay. 1994. Simulation Made Easy : A Managers
Guide.
Law,
Averill M., and W. David Kelton. 1991. Simulation
Modeling and Analysis, 2nd edition.
Law,
Averill M., and Michael G. McComas. 1998. Simulation of
Manufacturing Systems. In Proceedings of the 1998 Winter Simulation
Conference, Volume 1, eds. D. J. Medeiros, Edward F. Watson, John S.
Carson, and Mani S. Manivannan, 49-52.
Leemis,
Lawrence. 1998. Input Modeling. In Proceedings of the 1998 Winter
Simulation Conference, Volume 1, eds. D. J. Medeiros, Edward F. Watson,
John S. Carson, and Mani S. Manivannan, 15-22.
Nelson,
Barry L. 1995. Stochastic Modeling Analysis and Simulation.
Profozich, David. 1998. Managing Change
with Business Process Simulation.
Schriber, Thomas J., and Daniel T. Brunner. 2002. Inside
Discrete-Event Simulation Software: How It Works and Why It Matters. In Proceedings
of the 2002 Winter Simulation Conference, Volume 1, eds. Enver Yόcesan,
Chun-Hung Chen, Jane L. Snowdon, and John M. Charnes, 97-107.
Seila, Andrew F., Vlatko Ceric, and Pandu
Tadikamalla. 2003. Applied Simulation Modeling.
Code of Conduct
This class runs under the
The NJIT values academic
honesty and integrity. Each student has a responsibility to understand,
accept, and comply with the
Each examination will have a closed-book portion followed by an open-book (and notes) portion. In the closed-book portion, you will write expository paragraphs on fundamental concepts. No closed-book question will require quotation or usage of a memorized formula. In the open-book portion, you will work problems similar to those assigned as homework and/or discussed in class. Either or both examinations may also have a "take-home" question which, unlike an in-class examination question, can presume access to simulation and statistics software.
Computer software availability:
The Stabile Lab has Arena [Version 12 and 13], Manuals are available on-line.
NJIT maintains an "Weather Campus Closure Information Link" . You may wish to call this number in situations involving severe storms, power outages, insurrection, epidemic, or other unpleasant (understatement!) events to see if the campus is open.
Availability of help:
Useful Web Sites:
Journals:
Simulation Software:
PROTOCOL - CONDUCT
◘ Attendance is required. The attendance records will be submitted to university
administrators as they need to know the dates you missed classes. The students
who are sitting front must pass a paper for attendance every class.
◘ Homework: Homework problems are assigned weekly. It is due the
following week and need to be submitted at the beginning of the class or online
- so that the HW can be solved in the class. Solutions provide feedback to the
student. . Students are encouraged and
will be asked to take part in the solution process. Not every hw will be graded, samples
will be taken
Do not ask the instructor to
accept your homework, after homework solutions are given out. Students can also submit their homework
through our class web site (instructor will detail the timings)
(Homework portion of your grade can be built by taking part in
these solutions actively.
Preparing/copying homework solutions during the class and simply
submitting programs with some answers,
does not help you to improve your grade but just the opposite; these students miss
the opportunity to learn the subject as well miss the opportunity to
take part in the solutions as well. In
this class you are graded by how much you take part in class solutions rather
than what you have submitted alone. )
Solutions must be done
individually (results preferably type
written- use equation editor that comes with word) and must be supported by
the computer solution as well. Student must learn not only the programming but the
theories/techniques to model questions. There might be one brief
pop up quiz to test the overall class knowledge on the material covered.
◘ Exams &
Quizzes: Students will be provided a brief formula sheet during the exams
containing only complex formulations and tables. Students are expected to bring these formula sheets
to every class and familiarize themselves with these equations/tables during
the class rehearsal period.
Exams will be completed in two phase: 1st phase: students solve the questions that require
manual calculations with simple calculators and submit the answers, then 2nd
phase: resolve the questions requiring computer use and submit the second set
of answers.
◘ No Makeup
Exam: There will be NO
makeup exams, quizzes during the semester. In case of an extenuating
circumstances such as illness, etc., where the student has a legitimate reason
for missing the exam, a makeup exam will be administered by the MIE
department. Student must notify the Department Office and the Instructor
why the exam will be missed and present
written verifiable proof to confirm the reason for missing the exam, e.g., a
doctors note, police report, court notice, etc., clearly stating the date AND
time of the problem.
◘ COURSE PROJECT SCHEDULE
3rd - 5th WEEK Team up with another classmate and submit your project proposal. Check the required format and the guidelines from the moodle course web site. Use table of contents to write about the methods you want to use in your project. Those who do not submit their project proposal will not be eligible to present their projects.
6th - 8th WEEK Complete a literature search on - your subject and any statistical analysis techniques you are employing- For example search for the following key words an article about simulation Modeling of call centers or Health care centers . Obtain at least 2 papers on your subject and review the papers and briefly summarize these related work. Follow these articles write up format for your project report.
9rd - 12th WEEK Build your model Make required comparisions using statistical analysis techniques- Write your report Check your progress with your instructor. Follow up on the suggestions given.
LAST Day of class Make sure that you
1) upload your files to
course website by that time and
2) submit a hard copy to instructor
or leave a copy in
the mail box in the MIE dept. office, ME
332.
(Use your last names as
filename; NamesProject.doc and follow project submission guidelines
thoroughly)
COURSE OUTLINE: HRM 601 Organizational Behavior
M. Somers, Home page: http://web.njit.edu/~somers, E-mail: somers@adm.njit.edu
There is no textbook
or other books to purchase.
Course Overview and Learning Objectives
Course Overview
Organizational behavior,
in its most general sense, addresses how organizations work. The sub-topics
within this general domain area such as leadership, culture, or motivation, are
all concerned with the general question of how to design organizations,
processes and policies that allow people to make meaningful contributions to
organizations.
For most of the last
century our primary concerns centered around increasing productivity. The rapid
pace of technologically driven change coupled with increased uncertainty in all
aspects or organizational life (and life in general) has presented managers
with new challenges. Competitive
advantage today comes primarily from innovation and not from efficiency.
While most senior
managers have realized that innovation is key, the how to remains
elusive. Organizations, thus, remain in
transition as their leaders experiment with new organizational forms and new
ways of doing business. Organizational
behavior itself remains in transition and, like it or not, we do not have any pre-packaged
programs or cutting edge theory to address the problems facing most
organizations today.
This course begins
with the assumption that the largely bureaucratic organizations that are slowly
unraveling are not well suited to meeting current challenges facing business
today. We begin with an analysis as to
why and then turn to the newer ways of organizing which are emerging in
response to structural changes in business
and society.
Course Specific Learning Objectives
The course has
several objectives that revolve around the general theme of evolving
organizational forms. Upon its
completion you should be able to:
·
Identify
key elements of bureaucratic organizations and the policies associated with
bureaucratic structures
·
Understand
individual and coalitional politics in organizations and analyze how power is
attained, maintained and lost
·
Have a
clear conception of emerging organizational forms
·
Understand
the importance of leadership in organizations and its role in shaping
organizational culture
·
Identify
key issues in motivating individual employees and know which techniques are
effective in doing so
·
Understand
perceptual processes in organizations and their role in shaping the dominant
logic of an organization
·
Understand
the core elements of career planning and use them to develop a meaningful
career plan
·
Understand
the current and projected business environment and what it means for companies,
managers, and employees
Course Outline
Introduction to Distance Learning and to the Course
I.
Introduction to Distance Learning: The
DL process and what it takes to benefit from a DL course.
II.
Introduction to Organizational Behavior:
Overview of organizational behavior as a field of inquiry. Introduction of key topic areas and key
issues. Relationship of the people side
of the business to organizational performance.
Do
Online
Managing the Present
III.
Understanding Complex Organizations:
Organizational structures and processes. Bureaucracies and networked
organizations. Coalitions and coalition
formation. Goals and goal formation.
Do Online
IV.
Power
& Politics: Power and powerlessness. Individual and coalitional power. Sources of power. Dynamics of power.
Do Online
V.
Organizational Cultures & Employee Socialization: Definition and key elements of
organizational culture. Cultural vs.
structural control of behavior in organizations. Culture and creativity. Success cultures. Dysfunctional cultures.
Do Online
VI.
Decision-Making and Evaluation: decision-making
process. decision-making conflict, post-decision processes.
Do Online
Envisioning the Future
VII.
Sensemaking & Strategy: Environmental scanning, sense-making,
competitive advantage, strategy formulation and evaluation.
Do Online
VIII.
Leadership: Leadership in modern work organizations: Leading vs. managing. leaders vs. occupants of leadership
roles. Leadership challenges and leadership
theory. The need for leadership
throughout the organization.
Do
Online
IX.
Diversity in Organizations: Demographic, cultural diversity and
diversity of thought. Responses to
diversity. Global, networked
organizations. Self-critical organizations.
Do Online
Making It Happen
X.
Work Motivation, Basic Concepts:
Survey of theories of work motivation.
Rational and irrational motives.
Achievement motivation.
Do Online
XI.
Work Motivation, Advanced Concepts: Goal
setting, performance management systems, managing poor performers.
Do Online
XII.
Careers & Career Management: Career and life stages and career
planning. Issues in career management.
Do Online
XIII.
Managing Organizational Change: The change process. What can be changed. Managing the change process. New
organizational forms.
Do Online
Epilogue
XIV.
Epilogue.
No readings for the epilogue.
Grading
Grades are determined
by thought exercises and by class participation.
Thought
Exercises
There are ten thought exercises for the
course.. Ninety percent of your grade will be determined by your scores on
these thought exercises.
You have two options for completing
Thought Exercises:
Option
1: You may select any
five of the ten Thought Exercises and submit then on or
before their respective due dates. If you select Option 1, 90 percent of your
grade will be
determined by your scores on the five
Thought Exercises that you submit.
Option
2: You must complete all
of the ten Thought Exercises. If you select Option 2,
90 percent of your grade will be determined
by the five highest scores that you receive.
Important Note: You must make a good faith
effort to complete every Thought Exercise
if you select this option and you must
submit every Thought Exercise on or before its due
date. If I make a determination that you
have not made a good faith effort to complete
every Thought Exercise, you will forfeit
this option and your grade will be determined by
the
five lowest scores on the Thought Exercises that you have
submitted. The
determination of a good faith effort is
made by me and it is final.
Thought exercises are posted online and
should be submitted online as well. DO NOT e-mail them to me.
There is a lateness penalty of 1/3 of a
letter grade per day for up to two days. Work that
is more than 2 days late will not be
accepted and the student will receive a grade of zero
for the assignment. Of course, there exceptions to this policy
for emergencies, illness
and/or other extraordinary circumstances
provided that proper documentation is provided.
Assignments are due at midnight. There is a three hour grace period to allow
for computer errors and network problems.
After 3am lateness penalties apply.
Online or
Class participation
Ten percent of your grade will be determined by your participation in class discussions (on line for the
distance learning section of the course).
COURSE
OUTLINE: Mathematics 663 Introduction to Biostatistics, Fall 2010
1.
Instructor:
Prof.
S. Dhar
2. Textbook: Introductory Applied Biostatistics by Ralph DAgostino, Lisa Sullivan and Alexa Beiser.
Publisher: Duxbury. ISBN: 0-534-42399-X.
3.
Course Overview: This course provides an
introduction to statistical techniques with emphasis on applications in the
health sciences. Topics covered include summarizing and displaying data,
probability theory, Bayes theorem and its applications in diagnostic testing,
sampling distributions and Central Limit Theorem, confidence intervals and
hypothesis testing for means and proportions, contingency tables, regression,
analysis of variance, logistic regression, nonparametric methods and survival
analysis. The material presented will be accompanied by examples from
biological, medical and clinical applications. This roughly corresponds to
Chapters 1-13 of the textbook.
Note: Due to their similar content, students cannot receive
degree credit for both Math 661 (Applied Statistics) and Math 663 (Introduction
to Biostatistics).
4.
Software: SAS version
9.1/9.2 will be used for the course. You can use SAS at several NJIT computer
labs or obtain your personal copy from NJIT Library.
5.
Grading Policy: The final grade in this course will
be determined as follows:
|
± Homework and Quizzes: |
25%* There will be 13
homeworks plus quizzes. |
|
± Midterm Exam: |
35% |
|
± Final Exam: |
40% |
Please note that the University
Drop Date November 1 deadline will be strictly enforced.
6.
Homework Policy: Homework or Quiz will be assigned
roughly every week. Late homework will not be accepted. The lowest three
homework or quiz scores will be dropped out of the 13.
7. Exams: There will be one midterm and one
final exam (see course outline). All exams will be closed-book. No make-up
exams are allowed in case of extenuating circumstances with legitimate and verifiable excuse scores will
be imputed.
8. Honor Code: http://integrity.njit.edu/.
Attendance and Participation: Students must attend all classes. Absences from class will inhibit your ability to fully participate in class discussions and problem solving sessions and, therefore, affect your grade. Tardiness to class is very disruptive to the instructor and students and will not be tolerated.
Makeup Exam Policy: There will be no makeup exams, except in rare situations where the student has a legitimate reason for missing an exam, including illness, death in the family, accident, requirement to appear in court, etc. The student must notify the Math office and the Instructor that he/she will miss an exam. In all cases, the student must present proof for missing the exam, e.g., a doctor's note, police report, court notice, etc., clearly stating the date AND times.
Cellular Phones: All cellular phones and beepers must be switched off during all class times.
1.
No assignments, homework, exams will be
accepted late.
2. Use of Laptops/computer devices, etc., are not allowed when the instructor is lecturing.
|
Week |
Date |
Topic |
Chapter(s) |
|
1 |
8/30 |
Introduction, Descriptive Statistics |
1
& 2 |
|
2 |
9/ 13 |
Probability |
3 |
|
3 |
9/ 20 |
Sampling Distributions |
4 |
|
4 |
9/ 27 |
Inference for Means |
5 |
|
5 |
10/4 |
Inference for Mean Differences |
6 |
|
6 |
10/11 |
Categorical Data Analysis |
7 |
|
7 |
10/18 |
Risks in 2 populations |
8 |
|
8 |
10/25 |
Analysis of Variance |
9 |
|
9 |
11/1 |
◄ midterm Exam ► |
|
|
10 |
11/8 |
Correlation and Regression |
10 |
|
11 |
11/15 |
Logistic Regression: basic introduction only |
11 |
|
12 |
11/22 |
Nonparametric methods |
12 |
|
13 |
11/29 |
Nonparametric methods and Survival Analysis |
12-13 |
|
14 |
12/06 |
Review |
|
|
|
December 09 |
Reading Day |
|
|
Finals |
|
FINAL EXAM WEEK: December 10-16, 2010 |
|
☑ Disclaimer: There may be some changes. Any modifications will be
announced in class.
|
September 6, 2010 |
M |
Labor Day |
|
November 1, 2010 |
M |
Last Day to Withdraw from this Course. |
|
T |
Classes
Follow a Thursday Schedule. |
|
|
December 08, 2010 |
W |
Classes
Follow a Friday Schedule. |
|
November 25-26, 2010 |
R-Su |
Thanksgiving Recess ~ University Closed. |
Prepared
By: Dr. Dhar
Last revised: June 15,
2010
COURSE OUTLINE: EM 636 Project Management
Distance Learning
Instructor: Ava
Heuer
In addition to individual assignments,
students will also work in teams on a mock project to develop all parts of the
Project Plan, from charter and scope statement to schedules, budgets,
communications, risks, and quality. This
will require active participation, teamwork, time, and effort. As this is a distance learning course,
students will use all available technologies (forums, chat rooms, etc.) to meet
in a virtual environment.
Resources Required:
1. A Guide to the Project Management
Body of Knowledge (PMBOK) Fourth Edition
2. Project Management: A Systems Approach to Planning, Scheduling
and Controlling, Tenth Edition, Harold Kerzner
3. Students will need to download Skype (free,
download takes less than 5 minutes from www.skype.com) and get a Skype ID.
4. Software to read MS PowerPoint Files, and
some sort of software such as MS Word or MS PowerPoint to submit homework
assignments.
Week 1 Project Management
Background
Week 2 PM Framework
Week 3 Human Resource
Management
Week 4 Initiating a Project
Week 5 Developing the Scope
Baseline
Week 6 Developing the
Schedule
Week 7 Baselining the
Schedule and Budget
Week 8 Developing the
Quality Baseline
Midterm Exam
Spring Break
Week 10 Communications
Management
Week 11 Risk Management
Week 12 Monitoring project
progress
Week 13 Quality Control
Week 14 Procurement
Management & Project Closure
Week 15 Project Closeout
and Review for Final
Week 16
Office phone: 973 596 3333, E-mail: marion.tuttle@njit.edu Direct Phone
973 962 7221
Texts: Michael W.
Martin, Roland Schinziner. Ethics in Engineering, 4th Edition.
Terry
Halbert & Elaine Inguli. Law & Ethics in the Business Environment, 6th Edition. ISBN 13
978-0-324-65732-6; 10:0-324-65732 2009.
Grading: Mid-term
25%; Term Paper: 30%; Homework: 15%; Final:30%
Module 1
Weeks 1, 2, Administrative Law, Ethics Martin 1, 2, 3, 4
Module 2 Employment
Law Halbert 2, 3, 4
Weeks 3, 4 Martin 6, 7, 10
Module 3 Intellectual
Property Halbert 9
Weeks 5,6
WEEK 6/7 MID-TERM
EXAM
Module 4 Safety Halbert 5
Week 7, 8 Martin
5
TERM PAPER DUE July 12, 2010
Module 5 Product
Liability Halbert 7,
8
Week 8, 9 Product Liability Martin 9, 10
Module 6 Environmental
Law Halbert 6
Week 9, 10
WEEK
11 FINAL EXAM
Reminder: We will be using
the MOODLE platform as well as direct e-mail via the Campus
Highlander Pipeline e-mail system.
A term paper must be submitted by
This paper must be the
equivalent of a 10 page, double spaced paper which equals about 2500
words. HOWEVER, you must submit the term
paper and all other assignments, in 10 point type WITHOUT title page and
without wasted space for index, table of contents, pretty pictures or blank
spaces. (Lets save a few trees and keep
extra pages from the landfills!) I find
it easiest to type in 12 point font on 10 double spaced pages and after
proofreading, change the format for emailing.
All
topics must be personally approved by the instructor preferably by the third
week of the semester.
COURSE OUTLINE: EvSc 603 HAZWOPPER Certification
(Hazardous Waste Operations and Emergency Response) Summer 2009
Instructor:
Dr. Norman J. Van Houten (973) 596-3059
safetydirector@yahoo.com
Objective:
To satisfy regulatory compliance mandates to work in the Environmental field.
Certification is valid for one year.
Senior students will need this certification to obtain employment in the
environmental field.
Course Outline:
|
Class 1 |
Introduction of
Instructors, Overview of program, Goals and objectives, What is OSHA? What is HAZWOPPER, Introduction to
Hazardous Materials |
|
Class 2 |
Chemistry of Hazardous Materials,
Classification and Characteristics of Hazardous Materials, DOT Regulations
regarding Hazardous Materials (HM 126, 181) |
|
Class 3 |
OSHA 1910.1200 - Hazard
Communication, New Jersey Right to Know Act, MSDS/HSFS - Use of information
sources, Toxicology |
|
Class 4 |
Toxicology (continued),
Routes of Entry, Recognition, Evaluation and Control of hazards |
|
Class 5 |
OSHA Respiratory protection
Act (1910.134), Exposure Guidelines, Medical Monitoring ***** MIDTERM EXAM ******** |
|
Class 6 |
Use of Respirators - APR
& SCBA, OSHA PPE Standard (1910.132), Use of PPE - suits, gloves, boots,
etc. |
|
Class 7 |
Donning/Doffing Procedures
- Level A & B, Introduction to Detection Equipment , Operation of
Detection Equipment, Emergency Procedure Review |
|
Class 8 |
Fire Fighting Techniques,
Search and Rescue, Medical Emergencies |
|
Class 9 |
Decontamination Procedures,
Control of Leaks and spills, General clean up methods: Ad/Absorption,
Containment, Neutralization,
Emulsification |
|
Class 10 |
Responding to leaks:
Punctures, Closure failures, Plumbing failures, Container failures,
Patching/Plugging. Recovery methods |
|
Class 11 |
Response to Radiological
Emergencies, Overview of Emergency Management, Contingency Planning |
|
Class 12 |
Response Strategies:
Response Equipment, Site Safety Plans HASP _ Health & Safety Planning |
|
Class 13 |
Case Studies -
workshop/discussion Information sources and
reference materials |
|
Class 14 |
Exercise - Table top drill/scenario,
General Review of course information and procedures |
|
Class 15 |
Emergency Response to
controlled spill situation, Review and critique of exercise, Review of all course materials |
|
Class 16 |
Final Exam |
Grading Percentages: Term Paper 40
%, Mid Term 30 %, Final Exam 30%
COURSE OUTLINE: EvSc 616 Toxicology for Engineers and Scientists
Instructor: Prof. Pradyot Patnaik
Textbook: Lus Basic Toxicology.,
edition by Frank C, Lu and Sam Kacew, published by Taylor & Francis
|
Lecture |
Topics |
|
1 |
Introduction
to the Course; absorption, distribution and excretion of toxicants |
|
2 |
Biotransformation
of toxicants, enzymatic reactions, Bio-activation |
|
3 |
Toxic
effects, target organs, mechanisms of action, molecular targets |
|
4 |
Modifying
factors of toxic effects, host factors, chemical interactions |
|
5 |
Toxicology
of the liver, hepatotoxicants, types of liver injuries |
|
6 |
Toxicology
of the kidney, nephrotoxicants, testing procedures |
|
7 |
Toxicology
of the skin, dermatotoxicants |
|
8 |
Carcinogenesis,
mode of action, human carcinogens, classification of carcinogens |
|
9 |
Teratogenesis,
developmental toxicants and their effects, mode of action |
|
10 |
Toxicology
of pedticides, organochlorine, organophosphorus, cabamate, and chlorophenoxy
pesticides and herbicides. |
|
11 |
Toxicity
of metals, certain common features and toxic effects, exposure risks |
|
12 |
Food
additives and contaminants |
|
13 |
Occupational
toxicology, exposure limits and monitoring |
|
14 |
Environmental
pollutants, air, water, and soil pollutants |
|
15 |
Toxicologic
evaluation, risks and safety assessment, mathematical models. Course
review and review for the final exam |
Grading: The final exam and the
project paper will each carry a total of 100 points. The cumulative total points
will be 200. The final grade for the semester will be assessed from the overall
performance in the final exam and evaluation of the project paper. The project
paper will be evaluated based on the depth, content and clarity of writ-ups.