University of NorthTexas
Engineering Technology
Syllabus
Engineering Technology
University of NorthTexas
Course Title: Analytical Methods for Engineering Technology
Course Prefix and Course Number: MSET 5040
Semester: SPRING 2016
The Engineering Technology Department, in cooperation with the Office of Disability Accommodation, complies with the Americans with Disabilities Act in making reasonable accommodations for qualified students with disabilities. Please present your written accommodation request to the instructor prior to the fourth day.
SAFETY CATEGORY: 1
ENGINEERING TECHNOLOGY
COLLEGE OF ENGINEERING
UNTRESEARCHPARK
940/565-2022
DATE PREPARED: August 20, 2012
PREPARED BY: Dr.Leticia H. Anaya
COURSE NUMBER, TITLE, CREDIT HOURS:
MSET 5040, Analytical Methods for Engineering Technology, 3 hours
DESCRIPTION:
Procedures for confidently detecting variances from specification in manufactured products; applications of matrix manipulations for multivariate analysis, engineering applications of residues calculated from circular intervals, integration and differentiation of three-dimensional engineering functions.
PREREQUISITES:
None
REQUIRED TEXTBOOKS:
Recommended Textbook: Engineering with Excel, 4th Edition by Ronald W. Larsen, ISBN-10-0132788659,
Handouts will be provided throughout the class on relevant material.
SUPPLEMENTAL TEXTS AND MATERIALS:
Advanced Engineering Mathematics, 9th Edition, by Erwin Kreyzig, Publisher: Wiley
ISBN 0-471-48885-2
MATLAB for Engineers (3rd Edition) by Holly Moore, • Publisher: Prentice Hall; 3 edition (September 18, 2011) • ISBN-10: 0132103257
Murty, Katta G., Linear Programming, Wiley, ISBN 0-471-09725-X
COURSE OBJECTIVES:(TAC of ABET Criteria and Program Educational Objectives supported.
The goal of this course is to provide Engineering Technology students with additional analytical tools for modern applications in technology to include:
1.Understand of optimization techniques that can be applied in different contexts. (1,6)
3.Appreciate the use of matrices in solving multivariate (vector) problems. (1,6)
4.Realize simplification of solutions to complicated problems through mathematical techniques (1,6)
5.Understand problem simplification techniques for ordinary and partial differential equations to obtainsolutions. (1,6)
6.Understand the research methods and techniques to analyze qualitative and quantitative data. (1, 6)
STUDENT LEARNING OUTCOMES: (Course Objectives Supported)
The expected learning outcomes are:
a. Apply optimization techniques to different contexts, to include manufacturing operations. (1)
b.Apply research methods and techniques to gathered qualitative and quantitative data. (1)
c.Solve multivariate problems in both time and space by using matrices. (3)
d.Use mathematical integration techniques to solve complex integrals. (4)
Use mathematical techiques to solve both ordinary and partial differential equations to produce solutions to many engineering problems in different fields. (5)
f.Use alternative numerical methods of solving and simplyfying integral equations
INSTRUCTIONAL OBJECTIVES
1.Conditions:
Students can use pens, paper, calculator, and textbooks during
lectures.
2.Criteria:
a) Students are required to attend lecture classes.
b) Homework and any take-home exams will be turned in on the due date.
c) Makeup examinations will not be given. One half of the grade received on the
final examination will be substituted for a student’s lowest examination grade,
provided a acceptable excuse has been given.
3.Outcome Competencies:
a) Homework and random quizzes will be used to assess understanding of materials
covered in lecture.
b) Examinations will be used to assess understanding of materials covered during
the semester.
LEARNING STRATEGIES:
The instructor will present lectures on solving real world problems using mathematical techniques of certain types associated with differentiation, integration, and linear algebra. The course will focus on real world application of Engineering management
COURSE OUTLINE:
Note: The instructor reserves the right to substitute appropriate material for this class besides the topics covered in this outline.
Optimization Techniques:
Week 1-4
Linear Programming
a) Formulation of Linear Programming Problems
b) Simplex Method-Theory
c) Solving with Excel Linear Programming Problems
d) Integer Programming
e) Nonlinear Programming
Linear Algebra
a) Basic Matrix Operations
a) Linear Equations Systems
a) Gaussian Elimination
b) Cramer's Rule
c) Gauss-Jordan Elimination
Week 5: Exam 1
Week 6-9
Research Methods and Techniques For Qualitative and Quantitative Data
Project: Voice of Customer Analysis-Project Assigned.
a) Variance, Covariance, Correlation Reliability Factors
a) Linear Regression
b) Logistic Regression
c) Factor Analysis
d) Cluster Analysis
e) ANOVAs and MANOVA s
Week 10 Exam 2
Week 11-13
a) Network Analysis-Including PERT-CPM
b) Dynamic Programming
c) Queueing
Week 12 Project Due
Week 14-15
Numerical Integration Methods
a) Rectangular Integration Method
b) Trapezoid Integration Method
c) Simposon's Rule
d) Monte Carlo Simulation
Numerical Integration Methods for Differential Equations
a) Euler's Method
b) Fourth Order Runge-Kutta Method
Week 16-Final Exam
If Time Permits, Optional Programming Techniques
a) Programming with Excel Macros
b) Programming in Excel with VBA
Special Mathematical Techniques
a) Laplace Transforms
b) Application of Laplace Transforms
c) Fourier Series
d) Application of Fourier Series
e)
LABORATORY OUTLINE:
None
COMPUTER USAGE:
Students are required to use finite element software excel or another software to perform projects. Students are expected to analyze an actual database of data that contains qualitative and quantitative values using Excel and apply the research methods and techniques to evaluate this dataset.
ORAL COMMUNICATION USAGE:
Individual presentation of the final project is required.
PRESENTATION GRADING GUIDE:
PRESENTOR NAME ______COURSE NAME ______
SEMESTER ______PROJECT TITLE ______
EVALUATION TOPIC POSSIBLE POINTS COMMENTS
1. Subject Introduction 0 1 2 ______
2. Organization of Topics0 1 2 3 ______
3. Clear Descriptions0 1 2 3 ______
4. Emphasized Pertinent0 1 2 ______
Information
5. Quality and Effective Use of 0 1 2 3 ______
Visual Aids
6. Effective Conclusion0 1 2 3 ______
7. Composure and Speaking 0 1 2 3 4 5 6 7 8 9 10 ______
8. Effective Demonstration 0 1 2 3 4 5 6 7 8 9 10 ______
with a working model
9. Project Technical Content0 1 2 3 4 5 6 7 8 9 10 ______
10. Subjective Evaluation0 1 2 3 4 ______
Composite Score ______
EVALUATOR COMMENTS______
______
WRITTEN COMMUNICATION USAGE:
Homework will be completed with appropriate problem statements and solutions in written format defining the mathematical solutions.
WRITTEN GRADING GUIDE:
NAME ______COURSE NAME ______
REPORT DATE ______DUE DATE ______LABORATORY NUMBER_____
LABORATORY TITLE ______
EVALUATION TOPIC POSSIBLE POINTS COMMENTS
1. Objective10______
2. Diagrams10______
3. Expected Results10______
4. Original Data Sheets20______
5. Analysis of Results10______
6. Conclusions10______
7. Supportive Data10______
8.Comments10______
9. Professionalism signature10______
Composite Score ______
Professionalism Signature (TA verifies the student preformed the experiment, that the position computer is logged of and position is clean.):
______Date Completed:______
EVALUATOR COMMENTS______
______
LIBRARY USAGE:
Students are encouraged to investigate / understand recent journal article for technical merit.
GRADING ELEMENTS AND WEIGHTS:
Homework/labsassignments 25%
Project 15%
Midterm 30%
Final Exam 25%
Attendance 5
GRADING POLICIES:
Exam Protocol:
1.Your cell phone and computer, plus all books and class notes, must be placed on the floor (not in your pant/shirt pockets) at the side of the room, front of the room, or back of the room. It is suggested that you not bring them.
2.A seating chart may be created, or be prepared for the instructor to assign you to particular seats before the exam begins.
3.Students will not be allowed to leave room during an examination for bathroom breaks. Please use the restroom before you begin your exam. Once you leave the room, the exam will be collected as you will be done with the exam.
4.Bring your UNT IDs to be checked.
5.Arrive early to put your books, etc., away and to find your assigned seat.
6. You will be given scratch paper and formulas will be part of the exam. You may also have a very basic nonprogrammable calculator. Cell phones cannot be used as calculators. The test is closed book so you may have no other materials at your desk.
7.The instructor will quickly go over the test at the beginning of the period. Do not expect questions to be answered about the test while you are taking it.
8.Absolutely no talking, looking on another student’s exam, or passing anything between students is permitted during the test. Such actions will be construed as cheating. Students are not permitted to leave the room during the exam. Suspicious activity will be noted on the seating chart. The test may be videotaped.
9.Anyone finishing the test early must sit quietly until the end of the period. All tests will be taken up at one time.
10.Five points will be deducted for each minute that a student continues working on a test after the instructor calls for them to be turned in.
11.All attempts will be made to return the exam to you on the next class period. No exams will be given back outside of class. Please note that all exams will be scanned prior to returning them to the students.
Exam Grading Complaints: If you disagree with your grade on any test problem when the exam is returned, you must submit after that class a written statement on the back of the returned exam that clearly explains the reason you wish the problem to be regraded. Remember that only what you systematically wrote on the exam paper can be considered in grading a problem – not what you meant or claim to know. Moreover, answers that are submitted without supporting work will receive no credit. If a test is submitted for regrading, the entire test will be regraded (in case the instructor made a mistake grading other problems and gave you more or less points than you actually deserve). Finally, a student may request that an exam be regraded only on the day the exam is returned.
Missed Exams/Pop Quizzes: Do not count on the instructor to provide you with a make-up exam or make-up pop quizzes.. If you miss an exam for any reason, a Comprehensive Make-up exam will be administered on Friday, May 6, 2016 at 9:00 a.m. Only one make-up exam will be given to replace one exam. No make-up pop quizzes (announced or announced) will be allowed. At any point of the semester, the instructor can decide to give extra credit assignments and/or pop quizzes. Extra credit can be expected to be applied toward the total grade points earned.
Late Assignments: It is the students’ responsibility to turn in all assignments on time and to develop the necessary work habits that are expected in the workforce (e.g. meeting deadlines). All assignments will not be accepted late. But IF (please note BIG “IF”) the PROFESSOR (not the T.A.) accepts the assignment, the assignment will have a 50% penalty fee per day. Thus, no assignments will be accepted 3 or more days late.
Assignments: The assignments have a deadline. It is the student’s responsibility to meet this deadline. The deadline will not be adjusted to accommodate a student missing the assignment.
Academic Dishonesty: All rules related to academic dishonestly will be enforced. DO YOUR OWN WORK! If a student submits a laboratory assignment similar to another student’s laboratory assignment, both of the students will receive a MINIMUM of a ZERO on that assignment. One for copying the assignment and the other one for letting the other student copy the assignment. Once you put your name on the assignment, you accept responsibility that it is your work!! Also be aware of plagiarism. No plagiarized work will be accepted.
No cell phones or any Internet related device will be allowed in the exams. If a student is caught with a cell phone during the exam, he/she will at a MINIMUM get a zero on that exam.
BOTTOM LINE: Treat this class as you will treat your future employment. In an actual job, no excuses are generally allowed for missing project deadlines. If you miss too many workdays and project deadlines, you will ultimately get fired. Ethics also count. Do not develop a reputation where your behavior can be considered unethical. The university has certain policies against unethical behavior and these policies will be enforced. Please check your student handbook for more information. Unethical behavior may cost you a future reference for a job, a scholarship or a graduate school recommendation. Thus, do your own work, turn it in on tim and play fair. The rules are set to make the educational classroom an even field for ALL the students.
Expected Grade Distribution:
>= 90 grade points = A
>= 80 and <90 grade points = B
>=70 and <80 grade points = C
>=60 and < 80 grade points = D
< 60 grade points = F
The instructor reserves the right to change this grade distribution at the end of the semester. If any changes occur, the changes will be less stringent that the distribution above.
Disabilities Accommodation:
The University of North Texas complies with Section 504 of the 1973 Rehabilitation Act and with the Americans with Disabilities Act of 1990. The University of North Texas provides academic adjustments and auxiliary aids to individuals with disabilities, as defined under the law. Among other things, this legislation requires that all students with disabilities be guaranteed a learning environment that provides for reasonable accommodations of their disabilities. If you believe that you have a disability requiring accommodation, please see the instructor and/or contact the Office of Disability Accommodation at 940 565-4343 during the first week of class.
CLASS POLICIES:
- All rules relating to academic dishonesty will be enforced in accordance with University policies. Cheating on quizzes, examinations and laboratory assignments, and plagiarism on various papers and reports are types of disciplinary misconduct for which penalties are assessed under the UNT Code of Student Conduct and Discipline. Major responsibility for implementing the University's policy on scholastic dishonesty rests with the faculty. Be advised that the instructor of this course supports and fully implements this policy. The following actions will be taken when evidence of such misconduct is observed. The student will be presented with the evidence of misconduct and given an opportunity to explain same. Based on the outcome of this private conference, the matter will be either dropped or the student will be given a grade of "F" in the course and be referred to the Dean of Students for further counseling and/or disciplinary action.
- State common law and federal copyright laws protect my lectures. They are my own original expression and I record them at the same time that I deliver them in order to secure protection. Whereas you are authorized to take notes in class thereby creating a derivative work from my lecture, the authorization extends only to making one set of notes for your own personal use and no other use. You are not authorized to record my lectures, to provide your notes to anyone else or to make any commercial use of them without expressed prior permission from me.
- During the course, handouts will be provided to enhance the presentation of certain concepts. These materials are provided strictly for instructional purposes and may other wise be restricted. There is no authorization for further reproduction of distribution of handout materials beyond that intended to teach the course.
- This syllabus is subject to change at any time during the semester with changes to be announced in class.
- Students should schedule at least one hour per lecture hour for study outside class. Students should schedule at least one hour per laboratory hour for outside work to prepare for the laboratory, use of open laboratory hours, and to complete the required laboratory documentation.
- Grades are based, in part, on the student's ability to communicate. Well written English is expected in all course work and is a factor in laboratory report grades. The student’s ability to orally communicate the results of laboratory exercises and class assignments is also monitored.
- Each student should retain graded lecture notes, pop quizzes, homework, tests, software-generated files, and laboratory reports to document errors in recorded grades.
- Requests for review of graded work must be submitted during the lecture in which such work is returned to the students. The request should be accompanied by a written justification of the request including any supporting data.
- The UNT Catalog procedures on cheating and plagiarism will be vigorously enforced. It is the duty of all students to protect their work so it is not available to others for submission as their efforts. This is especially true of files that are generated on the computer. Students who knowingly allow others to use their work are partners in this unethical behavior.
- There is no limit to the use of calculators for lecture, labs, pop quizzes, formal tests, or final examination.
- Challenges to the course grade must be presented within 60 days of receipt of grade notices mailed by the university. This will insure that instructor’s records are still available to allow a review of the assigned grade. You should first discuss your complaint with the instructor. If you wish to carry it further, contact the Program Coordinator by calling (940) 565-2022. To further pursue your complaint, contact the Department Chair at (940) 565-2022, but ONLY after first discussing your concern with the previous two individuals.
- If appropriate, Material Safety Data Sheets (MSDS) are maintained on file in the department for your review. Access to these documents may be provided by the:
- instructor of this course,
- Program Coordinator, or
- Department Secretary.
Seek initial access through the instructor or Coordinator rather than the secretary.
- An I (incomplete) grade is given only for extenuating circumstances and in accordance with University and Departmental Policies.
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