University of NorthTexas

Engineering Technology

Syllabus

Engineering Technology

University of NorthTexas

Course Title: Analytical Methods for Engineering Technology

Course Prefix and Course Number:

MSES 5040
Semester: Spring 2010

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: January 11, 2010

PREPARED BY: Dr. H Zhang

COURSE NUMBER, TITLE, CREDIT HOURS:

MSES 5040, Analytical Methods for Engineering Technology, 3 hours

DESCRIPTION:

Proceedures for confidently detecting variances from specification in manufactured products; applications of matrix manipulations for multivariate analysis, engineering applications of reidues calculated from circular intervals, integration and differentiation of three-dimensional engineering functions.

PREREQUISITES:

None

REQUIRED TEXTBOOKS:

“Advanced Engineering Mathematics”, Peter V. O'Neil, 5th Edition, ISBN 0-534-40077-9

SUPPLEMENTAL TEXTS AND MATERIALS:

"Schaum's Outline of Calculus of Finite Differences and Difference Equations", 1th edition, McGraw-Hill, ISBN 0070602182

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 statistics to monitor production and assess quality. (6)

2.Understand statistics for the design of experiments and products. (3,6)

3.Appreciate the use of matrices in solving multivariate (vector) problems. (1,6)

4.Realize simplification of solutions to complicated problems through mathematical transforms. (1,6)

5.Understand problem simplification through ordinary and partial differential equations to obtain closed form solutions. (1,6)

6.Obtain solutions to design problems through use of finite difference methods. (1,4,6)

7. Understand the relationship between residues of circular integrals and key

engineering parameters. (1,6)

STUDENT LEARNING OUTCOMES: (Course Objectives Supported)

The expected learning outcomes are:

a. Detect variance in manufactured goods. (1)

b.Use statistical analysis in the design of experiments for certainty of acceptance of results by the scientific community. (2)

c.Solve multivariate problems in both time and space by using matrices. (3)

d.Use mathematical transforms to simplify problems in both time and space and to realize the functions of frequency analyzers. (4)

e.Solve both ordinary and partial differential equations to produce solutions to dynamic and specially varying problems in electronics, vibrations, and control systems. (5)

f.Demonstrate proficiency in finite difference methods to solve heat transfer and control problems and apply this information to finite element methods for structural analysis. (6)

g. Relate the values of circular integrals to engineering parameters

such as modal mass and control inertia. (7)

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.

COURSE OUTLINE:

Lecture / Date / Topics / Homework Due Date
1 / 01/25 / First-Order Differential Equations
Second-Order Differential Equations ( Homogeneous) / #1 due on Mon. 02/01
2 / 02/01 / Second-Order Differential Equations (Non-homogeneous) / #2 due on Mon. 02/08
3 / 02/08 / High-Order Differential Equations / #3 due on Mon. 02/15
4 / 02/15 / Systems of Linear Differential Equations / #4 due on Mon. 02/22
5 / 02/22 / Fourier Series / #5 due on Mon. 03/01
03/01 / Midterm I
6 / 03/08 / Fourier Integral and Transform / #6 due on Mon. 03/22
03/15 / Spring Break
8 / 03/22 / Laplace Transform / #7 due on Mon. 03/29
7 / 03/29 / Partial Differential Equations(The wave equation) / #8 due on Mon. 04/05
04/05 / Midterm II
8 / 04/12 / Partial Differential Equations(The Heat equation) / #9 due on Mon. 04/19
9 / 04/19 / Finite Element Method / #10 due on Mon. 04/26
10 / 04/26 / Review
05/03 / Project Presentation / Project report is due today
05/10 / Final Exam6:00 PM-8:00 PM

LABORATORY OUTLINE:

None

COMPUTER USAGE:

Students are required to use finite element software ABAQUS for their final project. Students are expected to use word processing, spreadsheet, graphing, and presentation software where appropriate. Students are encouraged, but not required, to make use of mathematical software (e.g. MatLab, MathCad, Mathematical).

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 and Quiz20%

Two Midterm Exams20% each

Final project 10%

Final Exam 30%

GRADING POLICIES:

No late homework will be accepted.

CLASS POLICIES:

  1. 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.
  1. 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.
  1. 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.
  1. This syllabus is subject to change at any time during the semester with changes to be announced in class.
  1. 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.
  1. 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.
  1. Each student should retain graded lecture notes, pop quizzes, homework, tests, software-generated files, and laboratory reports to document errors in recorded grades.
  1. 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.
  1. 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.
  1. There is no limit to the use of calculators for lecture, labs, pop quizzes, formal tests, or final examination.
  1. 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.
  1. 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.

  1. An I (incomplete) grade is given only for extenuating circumstances and in accordance with University and Departmental Policies.

SETE (Student Evaluation of Teaching Effectiveness)

The Student Evaluation of Teaching Effectiveness (SETE) is a requirement for all organized classes at UNT. This short survey will be made available to you at the end of the semester, providing you a chance to comment on how this class is taught. I am very interested in the feedback I get from students, as I work to continually improve my teaching.

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