spring2014_sylb

EIN 4243C Human Factors – Spring 2014

Instructor: Patricia Anzalone, Ph.D.

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University of South Florida College of Engineering

Department of Industrial & Management Systems Engineering

EIN 4243C Human Factors Spring 2014


e-mail: [email protected] Phone: (813) 974-5573 Office: ENC 2202

Office Hours: Monday and Wednesday 11:00am-12:00pm Other times by appointment.

Teaching Assistant: Mona Haghighi e-mail: [email protected]

Office Hours: TBD ENC 2004

Class Schedule: Section 001: Section 701: Lectures: M & W 9:30am-10:45am ENC 1002 Lecture: Distance Learning via Collaborate Lab: F 8:00am-9:50am ENC 1002 / ENC2004 (not broadcast)

Required Textbook:

Niebel’s Methods, Standards, and Work Design, Thirteenth Edition by Andris Freivalds and Benjamin Niebel, 2013, McGraw-Hill Higher Education, Boston.

References:

An Introduction to Human Factors Engineering, 2nd Edition by Christopher Wickens, John Lee, Yili Liu and Sallie Gordon Becker, 2004, Pearson Prentice Hall, Upper Saddle River, New Jersey.

Human Factors in Engineering and Design, Seventh Edition by Mark Sanders and Ernest McCormick, 1993, McGraw-Hill, New York.

Course Description Design of human-machine systems, by taking into consideration both human and machine capabilities and limitations.

Course Objectives

To understand what Human Factors is and when Human Factors concepts and techniques should be used.

To learn Human Factors terminology, facts, theories, concepts, and techniques. To learn to run a Human Factors experiment, collect and analyze data, and report

the results of the experiment.

To learn to work successfully in groups.

To develop good written and oral presentation skills.

mailto:[email protected]






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ABET Student Outcomes SO7 (g) an ability to communicate effectively. SO10 (j) a knowledge of contemporary issues.

Semester Academic Calendar

January 06 Spring, first day of classes January 20 Martin Luther King, Jr. March 10 – 15 Spring Break April 25 Spring, last day of classes

April 26 – May 2 Spring, Final Exams May 3 Spring Commencement, Tampa

Course Policies:

1. Academic Integrity Academic honesty is fundamental to the activities and principles of a university. All members of the

academic community must be confident that each person’s work has been responsibly and honorably

acquired, developed and presented. Any effort to gain an advantage not given to all students is dishonest

whether or not the effort is successful. The academic community regards academic dishonesty as an

extremely serious matter, with serious consequences that range from probation to expulsion. When in doubt

about plagiarism, paraphrasing, quoting, or collaboration on assignments, consult the instructor. Be aware

that there are tools available to test documents for plagiarism. If you are unfamiliar with University

policies, please review the undergraduate catalog (http://www.ugs.usf.edu/catalogs/catdl.htm#cat1314).

2. USF Policy on Academic Integrity Academic integrity is the foundation of the University of South Florida’s commitment to the academic

honesty and personal integrity of its University community. Academic integrity is grounded in certain

fundamental values, which include honesty, respect and fairness. Broadly defined, academic honesty is the

completion of all academic endeavors and claims of scholarly knowledge as representative of one’s own

efforts. Knowledge and maintenance of the academic standards of honesty and integrity as set forth by the

University are the responsibility of the entire academic community, including the instructional faculty, staff

and students. For further information go to the undergraduate catalog:

http://www.ugs.usf.edu/catalogs/catdl.htm#cat1314.

3. USF Student Conduct Code Members of the University community support high standards of individual conduct and human relations.

Responsibility for one’s own conduct and respect for the rights of others are essential conditions for the

academic and personal freedom within the University. USF reserves the right to deny admission or refuse

enrollment to students whose actions are contrary to the purposes of the University or impair the welfare or

freedom of other members of the University community. Disciplinary procedures are followed when a

student fails to exercise responsibility in an acceptable manner or commits an offense as outlined in the

Student Conduct Code. For further information go to the undergraduate catalog:


4. USF Policy on Disruption of Academic Process Disruptive students in the academic setting hinder the educational process. Although disruptive student

conduct is already prohibited by the University of South Florida System (USF system) Student Code of

Conduct, the purpose of this regulation is to clarify what constitutes disruptive behavior in the academic

setting, what actions faculty and relevant academic officers may take in response to disruptive conduct, and

the authority of the Office of Student Rights and Responsibilities or designated office handling conduct

issues in Student Affairs to initiate separate disciplinary proceedings against students for disruptive

conduct. For further information go to the undergraduate catalog:


http://www.ugs.usf.edu/catalogs/catdl.htm#cat1314










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5. USF Student Academic Grievance Procedure The purpose of these procedures is to provide all undergraduate and graduate students taking courses within

the University of South Florida System (USF system) an opportunity for objective review of facts and

events pertinent to the cause of the academic grievance. Such review will be accomplished in a collegial,

non-judicial atmosphere rather than an adversarial one, and shall allow the parties involved to participate.

All parties will be expected to act in a professional and civil manner. For further information go to the

undergraduate catalog: http://www.ugs.usf.edu/catalogs/catdl.htm#cat1314.

6. Students with Disabilities Services As a welcoming and supportive university, the faculty and administration at USF strive to ensure students

with disabilities participate in all aspects of university life. Students in need of academic accommodations

for a disability may consult with the office of Students with Disabilities Services (SDS) to arrange

appropriate accommodations. Students are required to give reasonable notice prior to requesting an

accommodation. SDS makes the final determination as to the type of academic accommodations that can be

rendered for students with disabilities. All accommodations are approved on a case-by-case basis. Each

student is responsible for self-identifying and applying for accommodations and services at the SDS office.

The process of applying for services is described in detail in the SDS website www.sds.usf.edu.

7. USF Attendance Policy for the Observance of Religious Days All students, faculty, and staff within the USF System have a right to expect reasonable accommodation of

their religious observances, practices and beliefs. USF faculty will make every attempt to schedule required

classes and examinations in view of customarily observed religious holidays of those religious groups or

communities comprising the USF System’s constituency. Students are expected to notify their instructors at

the beginning of each academic term if they intend to be absent for a class or announced examination, in

accordance with this policy. No student shall be compelled to attend class or sit for an examination at a day

or time prohibited by his or her religious belief, as long as the student has provided timely notice. For

furth er information go to the undergraduate catalog: http://www.ugs.usf.edu/catalogs/catdl.htm#cat1314.

8. USF Policy on Emergencies In the event of an emergency, it may be necessary for USF to suspend normal operations. During this time, USF may opt to continue delivery of instruction through methods that include but are not limited to:

Canvas, Collaborate, Skype, and email messaging and/or an alternate schedule. It’s the responsibility of the

student to monitor the Canvas site for each class for course specific communication, and the main USF,

College, and Department websites, emails, and MoBull messages for important general information.

9. Course Website The course has a web site in the USF portal (http://www.usf.edu). You will need a USF NetID and

password in order to have access. If you do not already have a USF NetID, you can obtain one by clicking

on Don't have a USF NetID? and filling out a few simple questions.

Procedure to log onto the website:

1. Go to the USF portal http://www.usf.edu.

2. Click on myUSF and sign on using your USF NetID and password.

3. Hover over Learning & Teaching Tools and click on Canvas.

4. Hover over Courses & Groups and select the course EIN4243C.001S14 Human Factors.

5. Look for course information by clicking on the buttons: Announcements, Syllabus, Modules,

Assignments, Discussions, Blackboard Collaborate, Grades, and People, among others.

10. Student Responsibilities Attendance is expected at all class sessions. Please email the instructor at [email protected]

if you have to miss a class for any major reason. Students who anticipate the necessity of being absent from class due to a religious day observance must provide notice of the date(s) to the instructor, in writing, by the second class meeting.

Always be on time to class. Please be courteous with respect to your fellow classmates, your TA, and your instructor. Thank you!

During class time, please turn off or set all cell phones in vibration mode. If you need to take a phone call please leave the classroom.



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Monday and Wednesday lectures will be transmitted through Blackboard Collaborate for Distance Learning students. You may either connect in real-time and participate in the live session or watch the recorded session at a later time. Friday lab sessions are on campus and all students must attend these sessions.

Always bring your textbook to class.

Typically, homework will be assigned but not turned in for grade unless otherwise specified by the instructor. The homework problems are critical to your developing a working understanding of the material and preparing for the examinations. The instructor will review selected homework problems at the beginning of the class.

All take-home quizzes/exams/labs are to be completed independently without consultation or collaboration with other students unless otherwise directed.

Work due dates are included in the course schedule and posted on Canvas. All reports must be handed in on the scheduled due date. No late reports will be accepted.

Exams must be taken on the scheduled exam dates. There are no make-up exams.

Students are responsible for all information conveyed during class and on Canvas. Communication in the course will be done through official electronic means: USF assigned

email address and the course web site in the USF portal.

It is the student’s responsibility to make sure they are receiving their official USF email. Please see http://una.acomp.usf.edu for more details.

All students in the College of Engineering are required to have access to a laptop http://www.eng.usf.edu/Ecomp/laptopconfiguration.asp.

11. Course Grading

Midterm Exam 15% Final Exam 15% Lab Reports 20% Visit Reports 10% IMRAD Research Paper 15% Team Project Proposal 5% Team Project Report 10% Team Project Presentation 5% Participation 5% Total Grade 100%

The following grading scale will be used: 90 A 100 86 B+ 87 76 C+ 77 60 D 67

88 A- 89 80 B 85 70 C 75 0 F 59 78 B- 79 68 C- 69

This course satisfies the Board of Governors Articulation Resolution (6A-10.030) (“Gordon Rule”). Students must achieve a proficiency level of at least C- in the course in

order to receive Gordon Rule Communication credit. For further information go to the undergraduate catalog (http://www.ugs.usf.edu/catalogs/catdl.htm#cat1314).

By College of Engineering Policy: Only grades of C or better will be accepted in all Math, Science, and Engineering courses.

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http://www.eng.usf.edu/Ecomp/laptopconfiguration.asp



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12. Course Requirements:

Exams: Exams will be closed books, closed notes. Students may bring one 8.5”x11” page containing relevant information from the textbook and lecture notes. There will be absolutely no sharing among students of these pages or calculators.

Exams must be taken on the scheduled exam dates. There are no make-up exams.

Distance Learning students must take the test on campus as they are scheduled on Friday during Lab sessions.

Lab Reports:

The TA and instructor will assign team partners. The teams will remain the same throughout the semester. Lab assignments are expected to be a group effort. All labs are required to be turned in. If a student is absent from lab, he or she is still required to turn the lab in on time and will have a deduction of 20% of the lab report grade. Group members may explain missed information unless otherwise specified by the instructor. All labs must be turned in for a lab grade.

Lab activities are scheduled for Friday and the corresponding lab report will be due the following Friday.

The following format must be followed for the lab reports unless otherwise specified.

o Title Page: Students names, Lab number, Lab title, Professor name, and due date. o Introduction: Provide the background and objectives for the lab. For the Background you

have to review the topics covered in the lab, giving background material. You must reference the appropriate sources of information consulted to avoid plagiarism. For the

Objectives you have to explain the purpose of the lab. o Methods/Materials. o Results (Data Analysis/Findings): Include tables of data collected for the lab along with

analysis procedure and results (as applicable to each lab). All formulas used must be documented.

o Discussion/Recommendations: Explanation of results/findings including recommendations for process improvement.

o Bibliography: Include all sources of information consulted to develop the report. At least two sources of information in addition to the textbook or references used in class must be provided in ach report.

o Appendix: Include any data or notes that support the findings of the lab.

Each team will submit one Lab report through Canvas by midnight on the due date.

Save your files using the following format: TeamNumber_Lab_Report_#.ext For instance: Team_1_Lab_Report_1.docx

Visit Reports:

We will visit several labs on campus. Each student must submit a Visit report answering the questions posted. If a student is absent from a visit, he or she cannot submit the corresponding visit report.

Each student will submit a Visit report through Canvas by midnight on the due date.



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IMRAD Research Paper: Each student will research and develop a paper on a current Human Factors issue. More details on this paper will be provided by an English Department instructor in other documents.

Each student will submit a draft and a final paper, by the following due dates: IMRAD Research Paper Draft: Friday, February 28, 2014 IMRAD Research Paper: Friday, April 18, 2014.

The draft and final paper must be submitted through Canvas by midnight on the due date.

Team Project:

The team of four students formed for the Lab reports will work together for the team project. Each team will research and perform a Human Factors evaluation and redesign of a human- machine system applying the concepts learned in the course. Each team will develop a proposal, a report, and a PowerPoint presentation.

The team project proposal must include the following sections:

- Cover page with the project title and the team information. - Introduction explaining the goals of the project and why the team selected their Human-

Machine System. - Description of the Human-Machine System, including pictures, figures, flowcharts, etc. - Bibliography.

The team project report must include the following sections:

- Cover page with the project title and the team information. - Introduction explaining the goals of the project and why the team selected their Human-

Machine System. - Description of the Human-Machine System, including pictures, figures, flowcharts, etc. - Evaluation of the Human-Machine System with areas of concerned discovered during the

evaluation. - Redesign of the Human-Machine System. - Estimate of the cost of the redesign. - Conclusions and Recommendations.

- Bibliography.

Reports must be typed using a font size 12, double space, and one-inch margins. Reports must be referenced, i.e., cite the sources of information used to develop the report using an academic writing style such as APA or MLA.

Each team will submit one project proposal, one report, and one PowerPoint presentation through Canvas by the following due dates:

Team Project Proposal: Wednesday, February 05, 2014 by midnight. Team Project Report: Wednesday, April 23, 2014 by midnight.

Team Project Presentation: Monday, April 21 by 8am (before class).

Save your files using the following format: TeamNumber_Project_Report.ext For instance: Team_1_Project_Report.docx

Each team will have 10 minutes to present their projects on Monday, April 21 and Wednesday, April 23. Distance Learning students may present their projects through Collaborate. All teams must submit their team project presentations through Canvas by 8am on Monday, April 21.



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Save your files using the following format: TeamNumber_Project_Presentation.ext For instance: Team_1_Project_Presentation.docx

Team Labs and Projects Participation:

It is not the intention of the team activities to allow any one person to complete the assignment. For this reason, each member of your group must work equally. At the end of the semester each member will be required to evaluate the participation of all members in the team activities: labs and team project. This evaluation will be factored in as part of your Labs and Team Project grades.

Each student will submit the Team Members Participation Evaluation through Canvas at the end of the semester on Friday, April 25 by midnight.

Course Participation:

You are expected to participate willingly and actively in all class discussions. Attending class is not sufficient to qualify for the participation points. You must actively engage in the discussions.

Distance Learning students will be graded on your participation in Canvas discussion threads posted weekly during the semester. You will have one week to post the comment, and each Distance Learning student is expected to contribute to the weekly discussion. Comments should reflect understanding of the chapters and having reviewed the Collaborate recorded sessions.

On campus students must also come prepared to discuss the topics posted on Canvas and provide their own examples as appropriate during the class discussions.

13. Resources:

USF Library http://www.lib.usf.edu

USF Information Technology http://it.usf.edu

Student Government Computing Services http://www.sgcs.usf.edu

USF Tutoring and Learning Services http://www.usf.edu/learning

USF Writing Center http://guides.lib.usf.edu/writing

http://www.lib.usf.edu/

http://www.lib.usf.edu/

http://it.usf.edu/

http://it.usf.edu/

http://www.sgcs.usf.edu/

http://www.sgcs.usf.edu/

http://www.usf.edu/learning

http://www.usf.edu/learning

http://guides.lib.usf.edu/writing

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EIN 4243C Human Factors Spring 2014

Tentative Course Schedule (Subject to Change)

Date Topic Reading Work Due M 01/06 Introduction to the Course

Introduction to Human Factors

W 01/08 Introduction to Human Factors

F 01/10 Introduction to Human Factors IMRAD Research Paper Requirements - Gordon Rule

M 01/13 Manual Work Design Chapter 4

W 01/15 Manual Work Design Chapter 4

F 01/17 Library Session - Gordon Rule

M 01/20 Martin Luther King, Jr. Holiday – No Class


F 01/24 Visit 1: Human Functional Performance Laboratory

M 01/27 Manual Work Design Chapter 4


F 01/31 Lab 1: Anthropometry

M 02/03 Workplace, Equipment, and Tool Design Chapter 5

W 02/05 Workplace, Equipment, and Tool Design Chapter 5 Team Project Proposal

F 02/07 Lab 2: Visual Sensory Processing Limitations Lab 1 Report M 02/10 Workplace, Equipment, and Tool Design Chapter 5

W 02/12 Workplace, Equipment, and Tool Design IMRAD Research Paper Progress – Gordon Rule

Chapter 5

F 02/14 Lab 3: Evaluating Illumination Conditions Lab 2 Report

M 02/17 Work Environment Design: Illumination Chapter 6

W 02/19 Work Environment Design: Noise Chapter 6

F 02/21 Engineering EXPO – No Class Lab 3 Report M 02/24 Work Environment Design: Temperature Chapter 6

W 02/26 Work Environment Design: Ventilation, Vibration, and Radiation

Chapter 6

F 02/28 Lab 4: Evaluating Noise Conditions IMRAD Research Paper Draft

M 03/03 Work Environment Design: Shiftwork and Working Hours Chapter 6

W 03/05 Review for Midterm Exam

F 03/07 Midterm Exam Lab 4 Report 03/10-15 Spring Break - No Class

M 03/17 Design of Cognitive Work Chapter 7

W 03/19 Design of Cognitive Work IMRAD Research Paper Progress – Gordon Rule

Chapter 7

F 03/21 Lab 5: Evaluating Workload and Temperature Conditions

M 03/24 Design of Cognitive Work Chapter 7

W 03/26 Design of Cognitive Work Chapter 7

F 03/28 Lab 6: Working Memory Limitations Lab 5 Report M 03/31 Workplace and Systems Safety Chapter 8

W 04/02 Workplace and Systems Safety IMRAD Research Paper Progress – Gordon Rule

Chapter 8

F 04/04 Lab 7: Information Processing Lab 6 Report

M 04/07 Workplace and Systems Safety Chapter 8

W 04/09 Proposed Method Implementation Chapter 9 Lab 7 Report



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F 04/11 Visit: CARRT (Center for Assistive, Rehabilitation & Robotics Technology)

M 04/14 Proposed Method Implementation Chapter 9

W 04/16 Training and Other Management Practices Chapter 18

F 04/18 Visit: CARRT (Center for Assistive, Rehabilitation & Robotics Technology)

IMRAD Research Paper

M 04/21 Team Project Presentations

W 04/23 Team Project Presentations Team Project Report

F 04/25 Review for Final Exam

W 04/30 Final Exam - 7:30am to 9:30am - ENC 1002 Final Exam



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EIN 4601C - Automation and Robotics Spring 2014

Instructor:

Office:

Susana K. Lai-Yuen, Ph.D.

ENC 2505

Class Schedule: Office hours: M: 2:00 – 3:00pm MW: 11:00am – 11:50am ENC 1002

Other times by previous appointment only.

Tel: (813) 974-5547 Pre-Requisites: EIN 4621 Fax: (813) 974-5953 Co–Requisites: None E-mail: [email protected]

Teaching Assistant: Iman Nekooyi Mehr Office: ENC 1005 Office hours: W: 2:00 – 4:00pm

E-mail: [email protected]

Required Text: Automation, Production Systems, and Computer-Integrated Manufacturing, Third Edition. Mikell P. Groover, editor.

2008. Upper Saddle River, NJ: Prentice Hall.

Other materials: Lecture notes and handouts.

Course Objectives 1. To introduce the concepts of manufacturing automation, and the technological and economic issues involved in the

automated manufacturing of products. 2. To learn about the modern techniques and devices used for monitoring and controlling manufacturing systems.

3. To develop an understanding of the fundamental concepts of industrial robots, programmable logic controllers, CAD/CAM, computer-aided process planning, and computer integrated manufacturing.

4. To demonstrate critical thinking and creativity in the course, through discussion, design, and analysis of relevant topics. 5. To develop team skills necessary for the completion of lab assignments and a course project requiring input from the

individuals. 6. To provide the students hands-on experience with robot programming and programmable logic controllers.

Academic Integrity Academic honesty is fundamental to the activities and principles of a university. All members of the academic community must be confident that each person’s work has been responsibly and honorably acquired, developed and presented. Any effort to gain an advantage not given to all students is dishonest whether or not the effort is successful. The academic

community regards academic dishonesty as an extremely serious matter, with serious consequences that range from probation to expulsion. When in doubt about plagiarism, paraphrasing, quoting, or collaboration on assignments, consult the

instructor.

1. USF Policy on Academic Dishonesty and Disruption of Academic Process “Students attending USF are awarded degrees in recognition of successful completion of coursework in their chosen fields of study. Each individual is expected to earn his/her degree on the basis of personal effort. Consequently, any form of cheating on examinations or plagiarism on assigned papers constitutes unacceptable deceit and dishonesty. Disruption of the classroom or teaching environment is also unacceptable. This cannot be tolerated in the University community and will

be punishable, according to the seriousness of the offense, in conformity with this rule”. For more information go to the web site http://www.ugs.usf.edu/catalogs/0203/adadap.htm.

2. ADA Resources “The University recognizes and values students with disabilities. The faculty and administration strive to insure that students with disabilities participate in all aspects of university life. Academic accommodations are arranged through the Office of Student Disability Services. The Office of Student Disability Services, located in SVC 1133, (974-4309), is responsible for determining eligibility of

students for disability status and facilitating services and accommodations for those who qualify. Accommodations that are developed in collaboration with students and faculty, include, but are not limited to, extended time on examinations,

alternate formats for printed materials, and the services of sign language interpreters”. For more information go to the web site http://www.sds.usf.edu/.





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3. Grievance Procedures Advocacy for issues that are not able to be resolved within the framework of the established policies for this course will be handled using the procedures found in the published University of South Florida catalog for the relevant academic year. For further information go to the web site: http://www.ugs.usf.edu/pdf/cat0506/acapol.pdf.

4. Course Recording The College of Engineering uses a classroom capture system as part of its distance learning program, which we will be using in this course. The system allows us to audio record the instructor and students, as well as content presented using the classroom’s computer and/or document camera. These recorded sessions will be made available to students enrolled in the course. Because we will be recording in the classroom, your questions or comments will be recorded. If this is of serious concern to you, you should consider dropping the class during the first-week drop/add period.

5.

a.

Class Policies Students are responsible for all information conveyed during class and on Canvas.

b.

c.

d.

e.

If you have to miss a class for a justifiable reason, which will be determined by the instructor, you must contact the instructor immediately. If there is an assignment due, you can either turn it in prior to the class at my office (ENC 2505) or send it with someone else. If you have to miss an exam for a justifiable reason, which will be determined

by the instructor, you must inform the instructor at least a week ahead of time. No late or after-fact excuse for missing homework, in-class assignment, project report, or exam will be accepted. Homework will be assigned periodically throughout the semester and will be due at the beginning of the class on the specified date. In-class assignments will be given during class from time to time without previous notice. No in- class assignment will be accepted after the end of the class period. The exact number of homework and in-class assignments will be determined throughout the course of the semester. Homework and in-class assignments are due individually.

Two in-class exams will be given.

f.

g.

h. i.

j.

You must show all calculations, procedures in your homework, in-class assignment, project report and exam to get full score. Every document handed-in must be neatly prepared and stapled. Sloppy work and non-stapled materials may cost you points. Grades are posted in Canvas immediately after graded materials are returned. You will have 10 calendar days from the day the material was returned to let me know of any discrepancies in your grades. No claims on grades will be accepted after this time period. Students who anticipate the necessity of being absent from class due to the observation of a major religious observance must provide notice of the date(s) to the instructor, in writing, by the second class meeting. Official electronic communications means: your USF assigned e-mail address and the course web site in the USF portal (https://my.usf.edu). It is the student’s responsibility to make sure they are receiving their official USF email. Please see http://una.acomp.usf.edu for more details. During class time, please turn off all cell phones, beepers and pagers. Always be on time to class.

6.

a.

b.

c. d.

e.

Online Students. TENTATIVE Policies (subject to change) In addition to the class policies mentioned above, online students should be able to access the lectures through Canvas. We are currently experiencing changes by the university in all online courses. Therefore, policies for online students are subject to change and any changes will be announced in class and/or posted in Canvas. If there are any problems with the lectures and links, let me know as soon as possible. There is NO off-campus proctoring available for this course. ALL online students need to come to the classroom and take the exams at the same time as the on-campus students. Alternate exam schedules must have

prior approval from the instructor at least one week in advance. Homework should be submitted by the specified date and before the start of the class through Canvas. In-class assignments do not need to be proctored and are due within 48 hours from the time the lecture was posted. Links will be created in Canvas for online students to upload the materials. Do not submit materials through the instructor’s email. Materials should be submitted in a single “.pdf” or “.doc” formatted file. Pictures of materials (i.e., “.jpg”, “.tif”, etc.) will not be accepted. If you have more than one page, you need to insert all the pages into a single file. Make sure the file opens properly and is clear for reading. Also, place your name on each page of the document.

Graded materials can be picked up during the instructor’s office hours.

7.

Course Website

The course has a web site in the USF Portal. You can access the course web site at https://my.usf.edu. You will need a USF NetID and password in order to have access. If you do not already have a USF NetID, you can obtain one by going to

http://www.ugs.usf.edu/pdf/cat0506/acapol.pdf

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https://una.acomp.usf.edu, clicking on Activate your NetID, and filling out a few simple forms. Check this website frequently for:

Course Syllabus, Lectures notes, Posted notices of importance, Student grading records, and additional resources.

8. Course Grading Your course grade will be based on the scores earned on the following components. Grades are contingent upon progress and improvement of subsequent submittal of both written and oral assignments. Attendance to all the labs is mandatory and you need to complete all the labs; otherwise, you will get an incomplete (I) or failure (F) in the course.

Homework 15% In-class assignments 5% Lab 15% Mini Project 15%

Exams (2) 50% (25% each) Total 100%

The following grading scale will be used:

90 A 100, 80 B < 90, 70 C < 80, 60 D < 70, less than 60 = F

By College of Engineering Rule: Only grades of C or better will be accepted in all Math, Science, and Engineering courses.

In the event of an emergency, it may be necessary for USF to suspend normal operations. During this time, USF may opt to continue delivery of instruction through methods that include but are not limited to: Canvas, Skype, and email messaging and/or an alternate schedule. It is the responsibility of the student to monitor Canvas site for each class for course specific

communication, and the main USF, College, and department websites, emails, and MoBull messages for important general information.

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1 01/06 Introduction Ch. 1 No Lab

Automation and Industrial Control Sys. Chs. 4 & 5

2 01/13 Sensors and Actuators Ch. 6 Lab I

Industrial Robotics Ch. 8 Robotics

3 01/20 No class – Martin Luther King, Jr. Holiday No Lab

4 01/27 Industrial Robotics Ch. 8 Lab II

Discrete Control Ch. 9/Hand. Robotics

5 02/03 Boolean Algebra Ch. 9 & Lab III

Handouts Haptics

6 02/10 Sequential Control Ch. 9 & Lab IV

Handouts Haptics

7 02/17 Ladder Logic Diagrams Ch. 9 & Lab V

Handouts PLC

8 02/24 PLC Counters and Timers Ch. 9 & Lab VI

Handouts PLC

9 03/03 Exam 1 Lab VII

PLC

10 03/10 No classes – Spring Break No Lab

11 03/17 PLC Counters and Timers Ch. 9 & Lab VIII

Handouts Matlab

12 03/24 Machine Vision Notes Lab IX

Matlab

13 03/31 Machine vision Notes Lab X

Matlab

14 04/07 Machine vision Notes Project

15 04/14 Inspection Technologies Ch. 22 Project

Automatic Data Capture Ch. 12

16 04/21 Exercises Project

17 04/28 Exam 2, 10:00am-12:00Noon

Tentative Course Schedule

Week Subject Reading Lab



6

Rev. 01/14

EIN 4601C - Automation and Robotics - Laboratory Spring 2014

Lab Schedule: M: 12:05 – 1:45pm Sections 003 and 703 T: 6:30 – 8:10pm

W: 12:05 – 1:45pm Sections 002 and 702 Sections 001 and 701

All labs will be held in ENC 1005 unless otherwise indicated

Lab Instructor: Iman Nekooeimehr Office: ENC 1005

Office hours: W: 3:30 – 5:30pm E-mail: [email protected]

Laboratory Objectives:

1. To introduce students to the lab safety guidelines and to the equipment in the automation lab.

2. To provide basic understanding and hands-on experience of robot control processes, PLC, and Matlab applications.

3. To develop team skills necessary for the completion of the lab assignments and course project.

Laboratory Grading: Your laboratory grading will be based on the scores earned on the following components:

All labs will be graded in 100 points scale which total contributes 15% of the final course

grade.

NOTE: Attendance to all labs is mandatory. ALL labs and lab reports must be

completed and submitted to earn credit; otherwise, the student will get an incomplete (I) or failure (F) in the course. Late reports will not receive any grade.

Laboratory Policies:

1. Students are responsible for all information conveyed during the laboratory and on Blackboard (myUSF Portal). Students are also responsible for attending the Lab I of introduction to the automation lab and safety guidelines, and for following the safety guidelines.

2. Labs are to be completed and the lab report submitted in groups of two people during the assigned lab session. Make-up labs will be scheduled based on the TA’s availability. A justifiable excuse must be submitted to the primary instructor before a make-up lab is scheduled with the TA.

3. Students are responsible for making sure the TA has approved the lab assignment before leaving the lab session.

4. After completing each lab, each group is required to submit a report at the beginning of the next lab session. The report describes the task, the executed steps, any programming code along with figures.

5. The grade of a lab session will be given upon the return of the graded report. 6. During laboratory time, please turn off all cell phones, beepers and pagers.

Always be on time to the laboratory.





1

Rev. 01/14

Tentative Lab Schedule Week Date Topic Assignment

1 01/06 01/07 01/08

No Lab

2 01/13 01/14 01/15

Lab I - Introduction to automation lab and lab safety guidelines. Robotics

3 01/20 01/21 01/22

No Lab

4 01/27 01/28 01/29

Lab II – Robotics Report – Lab I

5 02/03 02/04 02/05

Lab III – Haptics Report – Lab II

6 02/10 02/11 02/12

Lab IV – Haptics

7 02/17 02/18 02/19

Lab V – PLC

8 02/24 02/25 02/26

Lab VI – PLC Report – Lab V

9 03/03 03/04 03/05

Lab VII – PLC Report – Lab VI

10 03/10 03/11 03/12

No Lab – Spring break

11 03/17 03/18 03/19

Lab VIII - Matlab Report – Lab VII

12 03/24 03/25 03/26

Lab IX - Matlab Report – Lab VIII

13 03/31 04/01 04/02

Lab X – Matlab Report – Lab IX

14 04/07 04/08 04/09

Project Report – Lab X

15 04/14 04/15 04/16

Project

16 04/21 04/22 04/23

Project



2

Rev. 01/14

Industrial & Management Systems Engineering EIN 4333 – Production Control

Spring 2014

Time & Place Tuesday & Thursday 8:00‐9:15 am – ENC 1002 Friday 8:00‐8:50 am – ENB 118 (Recitation)

Instructor: Sandro Paz, M.S.

Office: ENC 2004 Office hours: Thursday 9:15‐10:00 and by appointment E‐mail: [email protected]

Required Text: Production and Operations Analysis, 6th ed. by Steven Nahmias, McGraw‐Hill

Course Objectives 1. Get exposed to traditional and modern production planning, inventory control, and supply chain

theory and practical problems. 2. Build foundations for deterministic and stochastic models needed to solve these problems. 3. Develop skills to analyze and solve large‐scale related problems in MRP, Aggregate Planning and

Scheduling.

Course Topics 1. Strategy and Competition, Learning Curves, Capacity Planning 2. Forecasting, Forecasting Evaluation, Moving Average and Exponential Smoothing, Linear Regression,

Forecasting Trend‐Based, Seasonal Decomposition, Winter's Method 3. Aggregate Planning, Zero Inventory Plan vs. Constant Workforce, Solving Aggregate Planning – LP,

Disaggregating aggregate plans 4. Inventory Control with Known Demand, EOQ models, Finite Production Rate, Quantity Discount

Models All‐Units Discount, Quantity Discount Models Incremental Discount 5. Inventory Control with Probabilistic Demand, Newsboy Model, Lot Size Reorder Point 6. Supply Chain: Transportation Problems and Network Formulation 7. MRP and Lot Sizing, JIT fundamentals 8. Scheduling, Job Shop Scheduling, Sequencing Rules, Sequencing Single and Multiples Machines,

Stochastic Scheduling.

Class Policies Communications and Attendance: All the communications will be during classes and by messages through Canvas. Be sure that your Notifications in Canvas are set to receive your Conversations and Discussion daily or ASAP. Timely attendance and participation is strongly encouraged. If for some extenuating circumstances you miss a class, you are responsible to obtain from your peers the material covered during the date(s) you were absent. It is at the discretion of the instructor to make available notes or material missed. Students who anticipate the necessity of being absent from class due to the observation of a major religious observance must provide notice of the date(s) to the instructor, in writing, by the second class meeting.

Quizzes and Homework: All take‐home quizzes and homework are to be completed independently without consultation or collaboration with other students unless otherwise directed. Homework will be collected at the beginning of class. No late homework will be accepted.

Grading: Grades will be based on student’s performance

on: Five out of six quizzes – 20% total Four homework – 20% total Three exams – 20% % each (Exam dates are February 14th, March 28th, and April 25th)

Make‐up quizzes will not be given for any reason. If one quiz is missed it becomes the one that is dropped, as it becomes the lowest quiz grade. Any more quizzes missed will be counted as zero points. Make‐up examinations will only be given with prior arrangements. If a test is missed, you must have a written authorized excuse to be able to take a make‐up.

The following grading scale will be used:

97 to 100% A+ 83 to 85% B 70 to 72% C‐ 93 to 96 % A 80 to 82% B‐ 60 to 69% D 90 to 92% A‐ 76 to 79% C+ Below 60% F 86 to 89% B+ 73 to 75% C

Online Students: Taking online courses can be challenging for students and instructors. Off‐campus students are allowed but not required to attend the classes. Although synchronous viewing of the lectures is not required they should review the class material (posted and recorded) within 24 hours. They can find the video link for the course under Blackboard Collaborate in Canvas. The recordings of the class sessions will be available on the same link during the semester.

Recitation Session: The purpose of the recitation session is to enable students to gain a better understanding of course materials and to clarify material presented in class in case is needed. During a recitation session, course problems are solved.

Group Homework Policies Some homework are expected to be a group effort. It is not the intention of these exercises to allow only one person to complete the assignment. For this reason, each member of your group must work equally. For each homework the team must submit an evaluation of the team members. Evaluations might be factored in as part of your grade.

Maria

Highlight

ESI 4313 Probabilistic Operations

Research (ESI 6340 Probabilistic

Systems Analysis) Spring 2014

Time & place TR 2:00 - 3:15 pm, ENC 1002; F 2:30 - 3:20 pm, ENC 1002 (recitat ion sessions).

online students: the above times and rooms are for on-campus

students only.

Instructor Dr. Alex Savachkin, ENC 2201, [email protected], 813-

974-5577. Office hours M 8:30 - 10:30 am. Feel free to stop by at

any time. Prerequisites COP 2510, EGN 3443.

Text(s) Applied Probability and Stochastic Processes, R. Feldman & C. Valdez-Flores, 2e.

References Probability and Statistics for Engineering and the Sciences, J. Devore, 8e or later.

Objectives: Get exposed to fundamental techniques of probability and stochastic processes and build

foundations for their decision support applications in engineering, healthcare, and finance.

Course grade: Midterm I, II, III = 100%/3 each (tentative dates: 2/6, 3/14, 4/24).

Policies

Academic misconduct will not be tolerated; violations will be dispatched in accordance with the university

policy. Students in need of academic accommodations for a disability need to consult with the SDS

Office. If a test is missed, a written, university authorized excuse will be required for a make-up.

Topics

I. Probability review

(set operations; sample space; events; probability axioms; conditional probability; independence; Bayes’

formula;

random variables; distribution functions; expectation; variance; common probability distributions)

II. Poisson process es

(stochastic processes; counting processes; properties of Poisson processes; merging and splitting of

Poisson processes; non-stationary Poisson processes; applications)

III. Discrete-time Markov process es

(Markovian property; multi-step transitions; rewards; classification of states; state communication;

irreducibility;

recurrency & transience; limiting probabilities; long-run average reward; applications)

IV. Probabilistic dynamic systems

(sequential decision making; backward recursion; principle of optimality; myopic policies; Markov

decision processes: stationary policies, exhaustive enumerat ion , policy iteration methods, value iteration

methods; applications)

V. Queueing systems

(infinite capacity single-server systems; finite capacity single-server systems;

applications) Good luck!

spring2014_sylb

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