Reliability Engineering Program Rochester Institute of Technology

As Engineer’s Week 2017 comes to a close, I would like to take the opportunity
to commemorate a Reliability Engineer that left his mark on me and dozens of
fledgling Reliability Engineers in the Rochester NY area: Norbert
Jagodzinski. Norb began his career at Bell Aircraft and Sylvania as an engineer
and became a system analyst at Eastman Kodak Company, initially involved with
product quality and reliability. In the mid-nineties, when Eastman Kodak began
to explore Reliability Maintenance, Norb was tapped to develop a Reliability
Engineering curriculum in conjunction with Rochester Institute of
Technology. The program attracted many Kodak employees to further their
education in this exciting new field, and offered the opportunity of obtaining a
Reliability Diploma or Associates Degree. Eventually, it was expanded to
students outside Kodak, and became a concentration in the school’s College of
Applied Science. Not every Engineer is capable of transferring his or her
knowledge in a classroom setting, but Norb found his true calling as a Reliability
instructor. He went on to become an adjunct professor at RIT as well. His
teaching style created the most engaging and inspiring atmosphere I have ever
experienced. He was a master at interjecting amusing anecdotes into technical
lectures on subjects as dry as Weibull Analysis. Norb inspired and mentored
dozens of Reliability Engineers during his tenure, and hopefully each of us had
some positive impact on others. His legacy in Reliability Engineering lives on
through the continued work of his many students. I encourage each of you to
recognize an Engineer that has been the greatest inspiration to your career.

Applied Arts and
Science Degrees
The Center for Multidisciplinary Studies
offers students the opportunity to tailor
individualized undergraduate programs of
technical and professional study through
its applied arts and science program. In
this program, students work closely with
faculty, advisers, and the program review committee to co-design unique,
multidisciplinary plans of study that combine several areas of expertise. The
center also will work with employers to design multidisciplinary programs that
are specially suited to their employees’ needs.
The applied arts and science program is particularly appropriate for individuals
who have prior college-level learning, are interested in changing majors, or who
want to prepare themselves for a career that requires skills and expertise in
several areas of knowledge. There are three levels:
Diploma
36 credits; 1 area of concentration
Associate of applied science (AAS) degree
52 core credits in general education plus 38 credits in 1 to 2 areas of
concentration
Bachelor of science (BS) degree
90 core credits in general education plus 90 credits in 2 to 4 areas of
concentration
The AAS and BS degrees are available to both full-time day students and part-
time evening students. The day program for full-time students is very flexible,
includes physical education requirements, and contains a different set of math
and science course options. (Full-time students should telephone 585-475-2234
for further information.)
Quick Links
 CMS Courses
 CMS Faculty
 CMS Website

Eastman Kodak Reliability Program – Core Courses
1016-319 Data Analysis
This course will study the statistical principles of presenting and interpreting
data. Topics covered will include: descriptive statistics and displays, random
sampling, the normal distribution, confidence intervals and hypothesis testing.
The statistical software package Minitab will be used to reinforce these principles
and to introduce students to the use of the computer in statistical analysis. This
is a general introductory statistics course and is intended for a broad range of
programs. NOTE: This course may not be taken for credit if credit is to be earned
in 1016-314. (Grade of C or better in 1016-204) Class 4, Credit 4 (F, W, S,
SU)
1016-320 Data Analysis II
An elementary introduction to the topics of regression and analysis of variance.
The statistical software package MINITAB is used to reinforce these techniques.
The focus of this course is on business applications. This is a general introductory
statistics course and is intended for a broad range of programs. (Grade of C or
better in 1016-319 or equivalent) Class 4, Credit 4 (W, S)
0684-310 Introduction to Quality
An introduction to the fundamental concepts of total quality management.
Includes an overview of the competitive environment, the cost of non-quality,
and the history of quality; a systematic examination of the leading definitions of
quality and models of quality management; and an exploration of the implication
of quality management concepts for organizational structure and roles, decision
making and interpersonal relations. Credit 4
0684-320 Basic Statistical Quality Control Techniques
An introductory course in Statistical Quality Control techniques used in
determining operating quality levels and recognizing degrees of process control
and capability in a service industry or a manufacturing process. Topics include
tools for diagnosing sources of variation; construction and interpretation of
charts for variables and attributes; tolerances, specifications and process
capability. Product quality (i.e., high yield) and product reliability also are
addressed. (High school algebra or equivalent) Credit 4
0684-330 Leadership Skills/Quality
Analytical and behavioral strategies and techniques for providing leadership in
quality management. Includes examination of problem-solving models and
processes; personal values related to leadership; and behavioral, conceptual and
communication skills for successful team building and team working,
conferencing, negotiating, and assessing and promoting quality behavior. Case
studies, interactive simulations and assessment of individual leadership
characteristics. (0684-310 or approval of department) Credit 4

0684-340 Statistics for Total Quality
An introductory course in statistics and probability that emphasizes the analysis
and interpretation of variation in quality control. Topics include descriptive
statistics (statistical tables and graphs, measures of central tendency and
dispersion), a brief overview of probability theory, probability distributions,
sampling distributions, confidence interval estimates, and one and two sample
hypotheses tests of means and proportions. The statistical package MINITAB is
used extensively by the instructor to illustrate statistical procedures and by
students to complete assignments. (Certificate in basic quality or approval of
department) Credit 4
0684-370 Reliability I
Reliability I introduces the students to the concepts embodied in maintenance
strategies—mainly reactive maintenance, preventive maintenance, predictive
maintenance and proactive maintenance—and in reliability based maintenance.
These strategies will be defined and their goals set forth. Reliability concepts and
tools will be introduced that will form the foundation of a reliability based
maintenance program. Credit 4
0684-375 Problem Investigation Isolation & Analysis
An introduction to problem solving methodologies and tools used in reliability
based maintenance. Topics include: root cause analysis, fault tree analysis,
FMEA, FRACAS, mechanical system failure processes, diagnostic
systems/devices, RCM, and multi-variant analysis. (0692-211 or permission of
department chair and 0684-370) Credit 4
0684-376 Reliability II
This course examines the underlying probability distributions and statistical tests
that are used in reliability based/centered maintenance. Included are: the
exponential distribution, curve fitting techniques, the normal distribution, the
lognormal distribution, extreme value statistics, the Weibull distribution, and
reliability analyses of repairable systems. Graphical techniques will be
emphasized along with data analysis using the statistical package MINITAB and
reliability software programs provided by the instructor. (0692-221 or equivalent
and 0684-370, 375) Credit 4
0684-377 Reliability III
A continuation of the Reliability III course, which focuses on the theoretical and
practical applications of reliability, availability, and maintainability. Topics
include: parts selection and control, reliability analysis, reliability test and
evaluation, equipment production and usage, spare parts forecasting,
reliability/maintainability trade-offs and improvement techniques. (0692-212 or
equivalent; 0684-370, 0684-375, 0684-376) Credit 4
0684-378 Reliability IV
This course is a continuation of Reliability III and deals with the theoretical and
practical applications of reliability, availability, and maintainability. Topics
include: reliability test and evaluation, equipment production and usage, spare
parts forecasting, reliability/maintainability trade-offs and improvement
techniques. Reliability software is used extensively by the instructor to illustrate

analytical procedures and by students to complete assignments and a term
project. Credit 4
0684-410 Costing for Quality
An introductory course in the decision-making process used for determining and
evaluating the cost of quality in support of manufacturing, government or service
industries. Topics include a review of basic accounting, an analysis of items that
are directly and indirectly affected by conformance or nonconformance to
customer requirements. (Certificate in basic quality or approval of department)
Credit 4
0684-430 Implementing Total Quality
Theory and techniques for introducing and institutionalizing quality management
concepts and practices in all areas of organizational activity. Includes
fundamental principles of organizational development, model programs for
improving quality throughout the organization, and techniques for analyzing
organizational culture and identifying and remediating barriers to quality
management. Introduces benchmarking and identifying and translating customer
requirements as the foundations of the implementation process. (Certificate in
basic quality) Credit 4
0681-200 Management Process I
A comprehensive three-quarter course in effective supervision and management
for supervisors and potential supervisors. Approximately 50 topics of current
importance to supervisors are presented, as well as essential management
principles, business communication and practical supervision techniques. Specific
supervisory problems of course participants are discussed in informal sessions
and through projects conducted outside the classroom. Instruction is usually
guided by a team of management specialists. Lecture discussion, panel
presentations, audiovisual presentation, simulation exercises and case studies.
(Course extends over three consecutive quarters and should be taken in
sequence, Part I of a Management Certificate) Credit 4
0681-201 Management Process II
sequence, Part II of a Management Certificate) Credit 4
0681-202 Management Process III

sequence, Part III of a Management Certificate) Credit 4

Reliability Engineering Program Rochester Institute of Technology

More Related Content

What's hot (20)

Similar to Reliability Engineering Program Rochester Institute of Technology (20)

More from Matthew Clemens (10)

Recently uploaded (20)

Reliability Engineering Program Rochester Institute of Technology