New Course Proposal – Page 1/13 NEW COURSE PROPOSAL ... · New Course Proposal – Page 1/13 NC – 9/29/05 NEW COURSE PROPOSAL College: [ Engineering and Computer Science ] Department:

New Course Proposal – Page 1/13

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NEW COURSE PROPOSAL College: [ Engineering and Computer Science ]

Department: [ MSEM Dept ]

Note: Use this form to request a single course that can be offered independently of any other course, lab or activity. 1. Course information for Catalog Entry

Subject Abbreviation and Number: [ MSE600 ] Course Title: [ Decision Tools for Engineering Managers ] Units: [ 3 ] units Course Prerequisites: [Admission into the program] (if any) Course Corequisites: [ ] (if any) Recommended Preparatory Courses: [ ] (if any)

2. Course Description for Printed Catalog: Notes: If grading is NC/CR only, please state in course description. If a course numbered less than 500 is available for graduate credit, please state “Available for graduate credit in the catalog description.”

[ MSE600. Decision Tools for Engineering Managers (3) Prerequisite: Admission into program. Identification and formulation of engineering management problems with alternative approaches to modeling and analysis. Students will undertake data collection and utilize appropriate tools in statistics, forecasting, optimization, and simulation to make and analyze decisions in engineering-management. Focuses on formal quantitative modeling with strong recognition of the behavioral and political contexts of decision making in complex organizations. Emphasis on spreadsheet modeling in MS Excel and the use of other appropriate software. ]

3. Date of Proposed Implementation: (Semester/Year): [ Fall ] / [2015] 4. Course Level

[ ]Undergraduate Only [ ]Graduate Only [ ]Graduate/Undergraduate 5. Course Abbreviation “Short title” (maximum of 17 characters and spaces)

Short Title: [ D•E•C• •T•O•O•L•S• •F•O•R •E•M • • ]

6. Basis of Grading:

[ ]Credit/No Credit Only [ ]Letter Grade Only [ ]CR/NC or Letter Grade 7. Number of times a course may be taken:

[ ] May be taken for credit for a total of [1] times, or for a maximum of [3] units [ ] Multiple enrollments are allowed within a semester

8. C-Classification: (e.g., Lecture-discussion (C-4).)

[ 3 ] units @ [C5 ] [ ] 9. Replaces Current Experimental Course?

[ ] YES [ ] NO Replaces Course Number/Suffix:[ ] Previously offered [ ] times.


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10. Proposed Course Uses: (Check all that apply) [ ]Own Program: [ ]Major [ ]Minor [ ]Masters [ ]Credential [ ]Other

[ ] Requirement or Elective in another Program [ ] General Elective [ ] General Education, Section [ ] [ ] Meets GE Information Competence (IC) Requirement [ ] Meets GE Writing Intensive (WI) Requirement [ ] Community Service Learning (CS) [ ] Cross-listed with: (List courses) [ ]

11. Justification for Request: Course use in program, level, use in General Education, Credential, or other. Include

information on overlap/duplication of courses within and outside of department or program. (Attach) 12. Estimate of Impact on Resources within the Department, for other Departments and the

University. (Attach) (See Resource List) 13. Course Outline and Syllabus (Attach) Include methods of evaluation, suggested texts, and selected bibliography.

Describe the difference in expectations of graduates and undergraduates for all 400 level courses that are offered to both. 14. Indicate which of the PROGRAM’S measurable Student Learning Outcomes are addressed in

this course. (Attach) 15. Assessment of COURSE objectives (Attach)

A. Identify each of the course objectives and describe how the student performance will be assessed

(For numbers 14 and 15, see Course Alignment Matrix and the Course Objectives Chart) 16. If this is a General Education course, indicate how the General Education Measurable Student

Learning Outcomes (from the appropriate section) are addressed in this course. (Attach) 17. Methods of Assessment for Measurable Student Learning Outcomes (Attach)

A. Assessment tools B. Describe the procedure dept/program will use to ensure the faculty teaching the course will be

involved in the assessment process (refer to the university’s policy on assessment.) 18. Record of Consultation: (Normally all consultation should be with a department chair or program coordinator.) If

more space is needed attach statement and supporting memoranda.

Date: Dept/College: Department Chair/ Program Coordinator

Concur (Y/N)

[ 9/20/2013 ] [ MSEM Faculty ] [ Ileana Costea, Chair ] [ Y ] [ 10/4/2013 ] [ CEAM.CECS ] [ Nazaret Dermendjian, Chair ] [ Y ] [ 10/4/2013 ] [ CS/CECS ] [ Steven Stepanek, Chair ] [ Y ] [ 10/04/13 ] [ ECE/CECS ] [ Ali Amini, Chair ] [ Y ] [ 10/04/13 ] [ ME/CECS ] [ Hamid Johari, Chair ] [ Y ] [ 3/12/2014 ] [ COBAE ] [ Christopher G. Jones, Interim

Associate Dean ] [ Y ]

Consultation with the Oviatt Library is needed to ensure the availability of appropriate resources to support proposed course curriculum. Collection Development Coordinator, Mary Woodley Date


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Please send an email to: [email protected] [ 11/18/13

] 19. Approvals:

Department Chair/Program Coordinator: Date: [ 03/10/2014 ]

College (Dean or Associate Dean): Date: [ ]

Educational Policies Committee: Date: [ ]

Graduate Studies Committee: Date: [ ]

Provost: Date: [ ]


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Attachments for the course MSE600 titled “Decision Tools for Engineering Managers” 11. Justification for request Most of the quantitative engineering management problems are solved by either deterministic approaches or statistical tools. Students in this course are not only exposed to basic statistical analysis but also are introduced to deterministic optimization techniques, and decision making models. By introducing this course, graduate students in the engineering management program are no longer required to take two separate courses (Engineering Statistics and Engineering Operations Research) in order to complete the program. We shuffled the materials of two of the courses in our old MS EM program (namely MSE 606A Engineering Operations Research, and MSE 601A Engineering Statistics) and introduced a new pair. The first course in the new pair has already been approved and is still numbered MSE 606A, but titled Engineering Operations Management and the content is changed. The second course in the new pair is the course introduced in this proposal. 12. Estimate of Impact of resources within the department, other departments and the university This course will be taught by existing faculty within the MSEM department. Additionally, the MSEM department has also recommended the names of industry experts who can teach this course, if the demand increases. We do not anticipate any new space being needed to accommodate this course and no new software is needed at this time for this course. This new course is being introduced in place of an earlier statistics course that was being offered in the EM program and hence it should not affect faculty work load. Additionally, we do not expect any additional cost for administrative or technical support staff or for library resources for this class. Lastly, the MSE programs have always had high enrollments, particularly for the core courses, with most sections having close to 30 students. 13. Course Outline and Syllabus – see document attached at the end 14. Program’s Measureable Student Outcomes addressed in this course Note: Below the engineering accreditation (ABET) terminology is used, “program objectives” instead of “program student outcomes” The graduate engineering management program objectives are to provide students with opportunities to: a) Identify, analyze, and solve engineering management problems quantitatively. b) Explain management techniques and strategies applied in engineering and high-tech firms. c) Explain and analyze contemporary issues and developments in operations management of engineering

firms. This course, Decision Tools for Engineers, will address program objective (a) and (c) as it will enable students to learn decision making tools. This is described further in Matrix A shown below: Prg Outcomes

Program Outcome 1

Program Outcome 2

Program Outcome 3


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Course Objectives Course Objective 1

D

Course Objective 2 D

I

Course Objective 3 D

Course Objective 4 P

I

I

15. Assessment of COURSE objectives A. Identify each of the course objectives and describe how the student performance will be assessed This course, Decision Tools for Engineers, will address program objective (a) as it will enable students to learn decision making tools. More specifically, the following are the course objectives:

Course Objective 1: Improve your quantitative and analytical skills. Course Objective 2: Build & use models to make better decisions Course Objective 3: Develop your modeling skills: cognitive, computational, & Excel. Course Objective 4: Understand models that can be used in engineering and manufacturing, finance, & managing organizations.

Additionally, we assess all the objectives through 2 midterm exams, a final exam, several assignments and home works and case studies. A sample is shown below:

Midterm Exam 1 Midterm Exam 2 Final Exam (Comprehensive) Homework Case Studies Attendance and in-class assignments Project Total

Additionally, Please refer Matrix B, shown below, in which it is explained how each course objective will be assessed:

Course Objective Assessment Tool used to evaluate student performance

Course Objective 1: Improve your quantitative and analytical skills. .

Exams and HW Assignments, including use of excel.

Course Objective 2: Build & use models to Exams and HW Assignments, including use of


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make better decisions

excel

Course Objective 3: Develop your modeling skills: cognitive, computational, & Excel.

Exams and HW Assignments, including use of excel

Course Objective 4: Understand models that can be used in engineering and manufacturing, finance,

& managing organizations

Case Studies and homework assignments and reports, including the use of Excel

16. If this is a General Education course, indicate how the General Education Measurable Student

Learning Outcomes (from the appropriate section) are addressed in this course. N/A

17. Methods for assessment for measureable student outcomes A) Assessment tools As mentioned in Section 15 above (Matrix B), a variety of assessment tools will be used. This may include, but is not limited to, case studies, homework assignments, including the use of Excel software and exams – both a midterm and a final. B) Describe the procedure the dept/program will use to ensure faculty teaching the course will be

involved in the assessment process All faculty involved in teaching this course will be required to participate in the assessment process and follow the CSUN university policy on assessment. The department has a program assessment in place which the full time faculty are closely involved and the industry experts who are hired to teach the course will be trained on how to do the assessments. A full time faculty member will be assigned to each industry expert teaching the course to explain to them the assessment process and will be available to assist in case any questions come up. Assessment is also a topic discussed in department meetings and the industry experts teaching the classes will be kept informed on updates regarding the assessment process.

13. Course Outline & Syllabus:

Syllabus

MSE 600-Decision Tools for Engineering Managers

Time and Place: To be decided

Instructor: Alireza Kabirian, Ph.D. Manufacturing Systems Engineering and Management Department Email: [email protected]


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Prerequisites: Admission in the program

Required Textbook: Quantitative Methods for Business 4th, Donald Waters, Prentice Hall, 2008

Description: Identification and formulation of engineering management problems with alternative approaches to modeling and analysis. Students will undertake data collection and utilize appropriate tools in statistics, forecasting, optimization, and simulation to make and analyze decisions in engineering-management. Focuses on formal quantitative modeling with strong recognition of the behavioral and political contexts of decision making in complex organizations. Emphasis on spreadsheet modeling in MS Excel and the use of appropriate software. Objectives: The graduate engineering management program objectives are to provide students with opportunities to:

(a) Identify, analyze, and solve engineering management problems quantitatively. (b) Explain management techniques and strategies applied in engineering and high-tech firms. (c) Explain and analyze contemporary issues and developments in operations management of

engineering firms.

This course, Decision Tools for Engineering Managers, will address program objective (a) and (c). More specifically, the following are the course objectives:

Improve your quantitative and analytical skills. Build & use models to make better decisions Develop your modeling skills: cognitive, computational, & Excel. Understand models that can be used in engineering and manufacturing, finance, &

managing organizations. Grading The semester grade will be based on the following distribution of points:

Midterm Exam 1 15% Midterm Exam 2 15% Final Exam (Comprehensive) 35% Homework 10% Case Studies 5% Attendance and in-class assignments 5% Project 15% Total 100%

And scores are converted to final grades as follows:

[90% , 100%) A [80% , 90%) B [70% , 80%) C [60% , 70%) D [0% , 60%) F

Falling slightly below a grade-break does not mean you will receive the next highest grade. If you expect a certain grade, put the required effort in from day one.


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All grades will be posted on Moodle Exams

There will be 2 midterm exams and a final.

Make up exams for the midterms are possible only if 1) you have verifiable extenuating circumstances which make you unable to attend an exam and 2) you inform me prior to exam.

The final exam may not be made up.

Exam 1 covers materials taught before the exam. Exam 2 covers taught topics after exam 1. Final Exam is comprehensive though emphasizes materials not covered in the midterms.

Homework Homework assignments are mostly from end-of-chapter problems.

Homework are done and turned in individually.

Homework are weekly or biweekly and you normally have between 5 to 7 days to complete them.

Late homeworks are NOT accepted for any reason even shortly after due times. Please do not take it personally if you try turning in homework late and hear “no”.

Case Studies and Final Project On Case Studies and the Final Project, joint work is required. You need to team up with 2 other classmates

(groups of 3 students)..

Case Studies are qualitative and/or quantitative analysis of a business problem that I assign. Each team turns in a report of 1-2 pages long for each Case Study. You do not need to present the Case Studies in class.

The final project will be about a real-world engineering management problem that is of interest to your team and could be analyzed and solved with one or more techniques that you learn in the course. Your team writes a professional report about the problem and your approach to analyzing and solving it. You will also need to present your project in the last class session of the semester. More details of the project will be posted on Moodle.

Attendance and In-class Assignments You are highly recommended to participate in all class sessions and contribute to discussions and lectures

and ask your questions.

Attendance is taken through attendance sign-in sheets or in-class assignments in some sessions selected randomly.

In-class assignments are questions you answer on a sheet of paper in randomly selected class sessions and turn in. I expect you to seriously and individually think about the questions and answer them, though a wrong answer does not reduce your grade (you are still considered present in the class). The questions are about materials in current lecture of class or immediate previous session.

It is unacceptable for a student to sign the sign-in sheet on behalf of another student.

You are supposed to be in class at the beginning of each session and do not leave before the end of class.

No eating, cell phone, headphone, internet or sleeping is allowed in class.

5% of your grade is tied to your attendance. Here is the way this portion of the grade is computed at the end of the semester:

# of recorded absences Attendance grade 0 or 1 5%

2 4%


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3 3% 4 2% 5 1%

6 or more 0% Tentative Class Schedule

Week Subject

1 Date TBD

Syllabus; Intro., Data Collection and Presentation - CHs 1-7

2 Forecasting – CHs 9-10

3 Optimization – CHs 11-13

4 Optimization – CHs 11-13

5 Midterm Exam 1

6 Probability and Statistics – CHs 14-17

7 Probability and Statistics – CHs 14-17

8 Decision Making – CH 18

9 Decision Making – CH 18

10 Midterm Exam 2

11 Inventory Management – CH 20

12 Review of topics covered

13 Simulation – CH 22

14 No Class- Thanksgiving

15 Project Presentation

16 Final Exam

Appealing A student may appeal a grading decision within one week of the occurrence except final exam and final grade of the course. You may e-mail me to discuss your concerns during this period. Communicating with the Instructor If you have question about homework problems and you think other students might have similar questions, please post your question on the Discussion section of the Moodle. I try to monitor Discussion section very often and answer the questions. Other students might also be able to answer and are encouraged to do so. I monitor my email account on close to a daily basis, to include evenings and weekends. Please use these media to communicate with me. My goal is to reply to your emails within 24 hours, but on occasion this may extend to 48 hours. Academic Integrity and Student Code of Conduct Students are expected to uphold the CSUN standard of conduct relating to academic dishonesty outlined in the CSUN catalog and student handbook. Cheating is not tolerated and constitutes grounds for dismissal. For this class, it is permissible and encouraged to assist classmates in general discussions of how to attack the homework problems. It is not permissible to copy another's work (or portions of it) and represent it as your own.


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Other Operating Procedures 1. Withdrawing from this course should be done during the first three weeks of the semester. Please note

that failure to officially drop this class results in a grade of U (an equivalent of an F on your transcript). See FAQs at www.csun.edu/~msem for additional information regarding withdrawals.

2. It is a University requirement that all graduate students must pass the Writing Proficiency Examination (WPE) as part of their degree. Delaying the completion of the WPE requirement can delay your graduation. See www.csun.edu/~udwpel for complete information.

3. University course roster determines the major of each student. Students whose majors are not correct must submit a change of major within the first three weeks of the semester. Graduate students must submit the Change of Objective for Graduate Students. Both forms are available at www.csun.edu/a&r/formslst2.htm

4. Graduate students are advised to ensure that they are either in classified status or making progress toward achieving that status. See FAQs at www.csun.edu/~msem for additional information regarding classification of graduate students.

5. All students majoring in MSEM Department programs are encouraged to add their email addresses to the Department listing. This listing will be used for special notifications (e.g., academic advisement notices, social events, and emergencies). Please use www.csun.edu/~msem/faqs.htm to be added to the list.


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Name: ___________________________ MSE 600 Sample Midterm 1 Question 1 (40 points). You have been put in charge of the Melrose oil refinery. The refinery produces gas and heating oil from crude oil. Gas sells for $8 per barrel and must have an average “grade level” of at least 9. Heating oil sells for $6 a barrel and must have an average grade level of at least 7. At most, 2,000 barrels of gas ad 600 barrels of heating oil can be sold. Incoming crude can be processed by one of three methods. The per barrel yield and per barrel cost of each processing method are shown in table below. For example, if we refine 1 barrel of incoming crude by method 1, it costs us $3.40 and yields .2 barrels of grade 6, .2 barrels of grade 8, and .6 barrels of grade 10. Before being processed into gas and heating oil, processed grades 6 and 8 may be sent through the catalytic cracker to improve their quality. For $1.30 per barrel, a barrel of grade 6 maybe cracked into a barrel of grade 8. For $2 per barrel, a barrel of grade 8 may be cracked into a barrel of grade 10. Any leftover processed or cracked oil that cannot be used for heating oil or gas must be disposed of at a cost of $0.20 per barrel. Formulate this problem to maximize profit. Do not solve. Method Grade 6 Grade 8 Grade 10 Cost ($)

1 .2 .2 .6 3.40 2 .3 .3 .4 3.00 3 .4 .4 .2 2.60

Question 2 (30 points). Goldilocks needs to find at least 12 lb of gold and at least 18 lb of silver to supply her customers. There are 2 mines in which Goldilocks can find gold and silver. Each day that Goldilocks spends in mine 1, she finds 2 lb of gold and 2 lb of silver. Each day that Goldilocks spends in mine 2, she finds 1 lb of gold and 3 lb of silver. a) Formulate an LP to help Goldilocks meet her requirements while spending as little time as possible in the mines. Do not solve! b) Goldilocks seems to find a lot of gold and silver each day spending time in either mine. Find out where she is mining and let‘s go mining. We are wasting time figuring out what she has to do. kidding! (only for part b I am kidding; you must answer part a though). Question 3 (30 points). Carco has $150,000 advertising budget. To increase automobile sales, the firm is considering advertising in newspaper andon television. The more Carco uses a particular medium, the less effective is each additional ad. Table below shows the number of new customers reached by each ad. Each newspaper ad costs $1,000, and each television ads costs $10,000. At most, 30 newspaper ads and 15 television ads can be placed. However, the number of television ads must be at least 10% of the total ads placed. Formulate an optimization model to maximize the number of customers created by advertising. Do not solve.

Number of Ads New Customers Newspaper 1-10 900

11-20 600 21-30 300

Television 1-5 10,000 6-10 5,000 11-15 2,000


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HW for MSE600 You need to write a MANAGERIAL REPORT summarizing your analysis and addressing the questions asked and the methodologies you used. Upload a single pdf or Word on Moodle.


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Documents

New Course Proposal – Page 1/13 NEW COURSE PROPOSAL ... · New Course Proposal – Page 1/13 NC – 9/29/05 NEW COURSE PROPOSAL College: [ Engineering and Computer Science ] Department: