Fri Jan 27 11:17:13 2017
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| Approvals Received: |
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| Approvals Pending: | College/Dean > Provost > Catalog | |
| Effective Status: | Active | |
| Effective Term: | 1179 - Fall 2017 | |
| Course: | BBE 2003 | |
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Institution: Campus: |
UMNTC - Twin Cities/Rochester
UMNTC - Twin Cities |
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| Career: | UGRD | |
| College: | TIOT - College of Science and Engineering | |
| Department: | 11032 - Bioproducts & Biosyst Engineer | |
| General | ||
| Course Title Short: | Computer Applications in BBE | |
| Course Title Long: | Computer Applications in Bioproducts and Biosystems Engineering | |
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Max-Min Credits for Course: |
3.0 to 3.0 credit(s) | |
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Catalog Description: |
Applications of computer software, for instance, Matlab, R, and Excel, in assisting engineering calculations and designs in Bioproducts and Biosystems Engineering. Prereq: (Math 1271 or Math 1371, Math 1272 or Math 1372, Concurrent registration in [{Math 2243 or 2373} OR {Math 2263 or 2274}]) |
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| Print in Catalog?: | Yes | |
| Grading Basis: | A-F or Aud | |
| Topics Course: | No | |
| Honors Course: | No | |
| Online Course: | No | |
| Freshman Seminar: | No | |
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Is any portion of this course taught outside of the United States?: |
No | |
| Community Engaged Learning (CEL) : | None | |
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Instructor Contact Hours: |
3.0 hours per week | |
| Course Typically Offered: | Every Fall | |
| Component 1 : |
LEC (with final exam) | |
| Component 2 : |
LAB (with final exam) |
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Auto-Enroll Course: |
Yes | |
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Graded Component: |
LAB | |
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Academic Progress Units: |
Not allowed to bypass limits.
3.0 credit(s) |
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Financial Aid Progress Units: |
Not allowed to bypass limits.
3.0 credit(s) |
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Repetition of Course: |
Repetition not allowed. | |
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Course Prerequisites for Catalog: |
<no text provided> | |
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Course Equivalency: |
No course equivalencies | |
| Cross-listings: | No cross-listings | |
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Add Consent Requirement: |
No required consent | |
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Drop Consent Requirement: |
No required consent | |
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Enforced Prerequisites: (course-based or non-course-based) |
No prerequisites | |
| Editor Comments: | New Course | |
| Proposal Changes: | New Course | |
| History Information: | 1/26/2017 - New Course | |
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Faculty Sponsor Name: |
Shri Ramaswamy | |
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Faculty Sponsor E-mail Address: |
shri@umn.edu | |
| Student Learning Outcomes | ||
| Student Learning Outcomes: |
* Student in the course:
- Can identify, define, and solve problems
Please explain briefly how this outcome will be addressed in the course. Give brief examples of class work related to the outcome. Introduce the software Matlab and its application in solving equations and their applications in engineering. Introduce the statistic principles and case studies in applications of statistics software R on solving questions in the field of Bioproducts and Biosystems Engineering. Introduce the software Microsoft Excel and its application in solving mathematical and statistical problems and their applications in engineering problem solving. How will you assess the students' learning related to this outcome? Give brief examples of how class work related to the outcome will be evaluated. The overall assessment will be based on class participation (20%), homework and project assignments (60%) and final examination (20%). - Can locate and critically evaluate information Please explain briefly how this outcome will be addressed in the course. Give brief examples of class work related to the outcome. Introduce the software Matlab and its application in solving equations and their applications in engineering. Introduce the statistic principles and case studies in applications of statistics software R on solving questions in the field of Bioproducts and Biosystems Engineering. Introduce the software Microsoft Excel and its application in solving mathematical and statistical problems and their applications in engineering problem solving. How will you assess the students' learning related to this outcome? Give brief examples of how class work related to the outcome will be evaluated. The overall assessment will be based on class participation (20%), homework and project assignments (60%) and final examination (20%). - Have mastered a body of knowledge and a mode of inquiry Please explain briefly how this outcome will be addressed in the course. Give brief examples of class work related to the outcome. Introduce the software Matlab and its application in solving equations and their applications in engineering. Introduce the statistic principles and case studies in applications of statistics software R on solving questions in the field of Bioproducts and Biosystems Engineering. Introduce the software Microsoft Excel and its application in solving mathematical and statistical problems and their applications in engineering problem solving. How will you assess the students' learning related to this outcome? Give brief examples of how class work related to the outcome will be evaluated. The overall assessment will be based on class participation (20%), homework and project assignments (60%) and final examination (20%). |
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| Liberal Education | ||
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Requirement this course fulfills: |
None | |
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Other requirement this course fulfills: |
None | |
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Criteria for Core Courses: |
Describe how the course meets the specific bullet points for the proposed core
requirement. Give concrete and detailed examples for the course syllabus, detailed
outline, laboratory material, student projects, or other instructional materials or method.
Core courses must meet the following requirements:
<no text provided> |
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Criteria for Theme Courses: |
Describe how the course meets the specific bullet points for the proposed theme
requirement. Give concrete and detailed examples for the course syllabus, detailed outline,
laboratory material, student projects, or other instructional materials or methods. Theme courses have the common goal of cultivating in students a number of habits of mind:
<no text provided> |
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LE Recertification-Reflection Statement: (for LE courses being re-certified only) |
<no text provided> | |
| Statement of Certification: |
This course is certified for a Core,
effective
as of
This course is certified for a Theme, effective as of |
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| Writing Intensive | ||
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Propose this course as Writing Intensive curriculum: |
No | |
| Question 1 (see CWB Requirement 1): |
How do writing assignments and writing instruction further the learning objectives
of this course and how is writing integrated into the course? Note that the syllabus must
reflect the critical role that writing plays in the course. <no text provided> |
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| Question 2 (see CWB Requirement 2): |
What types of writing (e.g., research papers, problem sets, presentations,
technical documents, lab reports, essays, journaling etc.) will be assigned? Explain
how these assignments meet the requirement that writing be a significant part of the
course work, including details about multi-authored assignments, if any. Include the
required length for each writing assignment and demonstrate how the 2,500 minimum word
count (or its equivalent) for finished writing will be met. <no text provided> |
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| Question 3 (see CWB Requirement 3): |
How will students' final course grade depend on their writing performance?
What percentage of the course grade will depend on the quality and level of the student's writing
compared to the percentage of the grade that depends on the course content? Note that this information
must also be on the syllabus. <no text provided> |
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| Question 4 (see CWB Requirement 4): |
Indicate which assignment(s) students will be required to revise and resubmit after
feedback from the instructor. Indicate who will be providing the feedback. Include an example of the
assignment instructions you are likely to use for this assignment or assignments. <no text provided> |
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| Question 5 (see CWB Requirement 5): |
What types of writing instruction will be experienced by students? How much class
time will be devoted to explicit writing instruction and at what points in the semester? What types of
writing support and resources will be provided to students? <no text provided> |
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| Question 6 (see CWB Requirement 6): |
If teaching assistants will participate in writing assessment and writing instruction,
explain how will they be trained (e.g. in how to review, grade and respond to student writing) and how will
they be supervised. If the course is taught in multiple sections with multiple faculty (e.g. a capstone
directed studies course), explain how every faculty mentor will ensure that their students will receive
a writing intensive experience. <no text provided> |
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| Statement of Certification: | This course is certified as Writing Internsive effective as of | |
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Readme link.
Course Syllabus requirement section begins below
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| Course Syllabus | ||
| Course Syllabus: |
For new courses and courses in which changes in content and/or description and/or credits are proposed, please provide a syllabus that includes the following information: course goals and description; format; structure of the course (proposed number of instructor contact hours per week, student workload effort per week, etc.); topics to be covered; scope and nature of assigned readings (text, authors, frequency, amount per week); required course assignments; nature of any student projects; and how students will be evaluated. Please limit text to about 12 pages. Text copied and pasted from other sources will not retain formatting and special characters might not copy properly. The University "Syllabi Policy" can be found here Any syllabus older than two years should be replaced with a current version when making ECAS updates. Course Syllabus BBE 2003 Computer Applications in Bioproducts and Biosystems Engineering (3 cr) (Sophomore Fall) Course Description: Applications of computer software, for instance, Matlab, R, and Excel, in assisting engineering calculations and designs in Bioproducts and Biosystems Engineering. Prerequisites (Math 1271 or Math 1371, Math 1272 or Math 1372, Concurrent registration in [{Math 2243 or 2373} OR {Math 2263 or 2274}]) Class Schedule and Locations Lab: T, Th 03:00 pm ? 04:50 pm, LES 230, LES 220 and Skok 35, St. Paul Instructors Dr. Ce Yang Dr. John Nieber Dr. Bo Hu Dr. Peter Huang Others? Office Hours and Locations To be determined Grading System: Class attendance 20% Assignments 60% Final Exam 20% Text: Allen Downey, Physical Modeling in MATLAB, Open-access online textbook: http://open.umn.edu/opentextbooks/BookDetail.aspx?bookId=82 Joseph Manzo, Lehigh University, How to Use Microsoft® Excel® The Careers in Practice Series, Open-access online textbook: http://open.umn.edu/opentextbooks/BookDetail.aspx?bookId=70 References (to be kept in St. Paul campus library) To be determined Course Objectives 1. Introduce the software Matlab and its application in solving equations. 2. Introduce the statistic principles and case studies in applications of statistics software R on solving questions in the field of Bioproducts and Biosystems Engineering. 3. Introduce the software Microsoft Excel and its application in solving mathematical and statistical problems. Course Policies 1. Attendance is mandatory to all the lab sessions and it will account for 20% of the final grade. Absence of the class will be only accepted with valid excuse such as a medical report signed by your doctor. Students will be requested to sign an attendance sheet before the class and one can only sign for him/her self. Signing for others will be considered as a serious violation to the class policy and may cause a direct report to the university office of student misconduct. Unexcused absences will reduce the credit given toward the 20%, and there is a threshold of two (2) unexcused absences. For three (3) or more absences the student will forfeit the attendance credit in proportion to the number of absences. 2. Lab assignments, accounting for 80% of the final grade, will be given at each lab in Tuesday and will be due before Tuesday lab in the following week. Overdue assignments will not be accepted unless prior approval for late submission is given. Copying assignments from others will be considered as a serious violation to the class policy and may cause a direct report to the university office of student misconduct. 3. Your letter grade will be calculated based on the following: A [97-100) = 4.0 B+ [87-89) = 3.3 C+ [77-79) = 2.3 D+ [67-69) = 1.3 A [93-96) = 4.0 B [83-86) = 3.0 C [73-76) = 2.0 D [65-66) = 1.0 A- [90-92) = 3.7 B- [80-82) = 2.7 C- [70-72) = 1.7 E/F [below 65) = 0.0 Student Mental Health and Stress Management As a student you may experience a range of issues that can cause barriers to learning, such as strained relationships, increased anxiety, alcohol/drug problems, feeling down, difficulty concentrating and/or lack of motivation. These mental health concerns or stressful events may lead to diminished academic performance or reduce a student's ability to participate in daily activities. University of Minnesota services are available to assist you with addressing these and other concerns you may be experiencing. You can learn more about the broad range of confidential mental health services available on campus via http://www.mentalhealth.umn.edu/. Course Structure (tentative) Week Date 3:00 Task Date 3:00 Task 1 5-Sep Lab Matlab 7-Sep Lab Matlab 2 12-Sep Lab Matlab 14-Sep Lab Matlab 3 19-Sep Lab Matlab 21-Sep Lab Matlab 4 26-Sep Lab Matlab 28-Sep Lab Matlab 5 3-Oct Lab Matlab 5-Oct Lab Matlab 6 10-Oct Lab Statistics R 12-Oct Lab Statistics R 7 17-Oct Lab Statistics R 19-Oct Lec Statistics R 8 24-Oct Lec Statistics R 26-Oct Lab Statistics R 9 31-Oct Lab Statistics R 2-Nov Lab Statistics R 10 7-Nov Lab Statistics R 9-Nov Lab Statistics R 11 14-Nov Lab Microsoft Excel 16-Nov Lab Microsoft Excel 12 21-Nov Lab Microsoft Excel 23-Nov Lab Microsoft Excel 13 28-Nov Lab Microsoft Excel 30-Nov Lab Microsoft Excel 14 5-Dec Lab Microsoft Excel 7-Dec Lab Microsoft Excel 15 12-Dec Lab Microsoft Excel 14-Dec Lab Microsoft Excel Statement on Academic Honesty: The following statement is from the CSE Student Guide; "The College of Science and Engineering expects the highest standards of honesty and integrity in the academic performance of its students. Any act of scholastic dishonesty is regarded as a serious offense, which may result in expulsion. The Institute of Technology defines scholastic dishonesty as submission of false records of academic achievement; cheating on assignments or examinations; plagiarizing; altering, forging or misusing an academic record; taking, acquiring, or using test materials without faculty permission; acting alone or in cooperation with another to obtain dishonestly grades, honors, awards, or professional endorsement. Aiding and abetting an act of scholastic dishonesty is also considered a serious offense". This statement will be held to in BBE 2003 as the definition for academic honesty. If at any time you have a question about what might constitute an academically dishonest act, please feel free to contact the instructors. |
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Readme link.
Strategic Objectives & Consultation section begins below
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| Strategic Objectives & Consultation | ||
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Name of Department Chair Approver: |
Shri Ramaswamy | |
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Strategic Objectives - Curricular Objectives: |
How does adding this course improve the overall curricular objectives ofthe unit? This course fulfills an integral core component of the engineering program in providing the students an introduction to computational tools and computer programming and their applications in engineering problem solving, analysis and design. This course will provide the basic background in computer applications and the students can continue learn, develop and apply computational skills in other engineering courses in the curriculum. |
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Strategic Objectives - Core Curriculum: |
Does the unit consider this course to be part of its core curriculum? Yes, we consider this course to be a core part of the curriculum. This course fulfills an integral core component of the engineering program in providing the students an introduction to computational tools and computer programming and their applications in engineering problem solving, analysis and design. This course will provide the basic background in computer applications and the students can continue learn, develop and apply computational skills in other engineering courses in the curriculum. |
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Strategic Objectives - Consultation with Other Units: |
Before submitting a new course proposal in ECAS, circulate the proposed syllabus to department chairs in relevant units and copy affiliated associate dean(s). Consultation prevents course overlap and informs other departments of new course offerings. If you determine that consultation with units in external college(s) is unnecessary, include a description of the steps taken to reach that conclusion (e.g., catalog key word search, conversation with collegiate curriculum committee, knowledge of current curriculum in related units, etc.). Include documentation of all consultation here, to be referenced during CCC review. If email correspondence is too long to fit in the space provided, paraphrase it here and send the full transcript to the CCC staff person. Please also send a Word or PDF version of the proposed syllabus to the CCC staff person.
This course provides the basic computer tools and their applications specific to Bioproducts and Biosystems Engineering. Specific examples of engineering problem solving pertaining to BBE will be used throughout the class. The students will also be prepared as to how apply what they learnt in this class to other core BBE engineering courses. This course fulfills the need for a specific computer applications course with solution of equations, numerical methods and their applications, statistical analysis tools and their applications in BBE. There are no other equivalent courses which are specific to computer applications in bioproducts and biosystems engineering. |
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