ME 4131W Indoor Environment Energy Laboratory Fall 2024 4 cr A F or Audit Prereq ME 4031W ME upper div or grad student CLE WI Syllabus Instructors TAs Lecture Section Lab Sections Section Jun Li 612 626 0153 junli1 umn edu Office hour Tuesday 11 30 a m 12 30 p m or by appointment ME 242 Md Atiqur Rahman rahma273 umn edu TA office hours first two hours of every lab period ME 470 Madhura Deepak Kudre kudre004 umn edu Day Time 001 Monday 02 30 p m 04 25 p m Day Tuesday Thursday Friday Friday Wednesday Time 01 25 p m 04 25 p m 01 25 p m 04 25 p m 10 10 a m 01 10 p m 01 25 p m 04 25 p m 10 10 a m 01 10 p m 002 003 004 005 006 Room ME 221 Room ME 470 ME 470 ME 470 ME 470 ME 470 Instructor Li Instructor Madhura Md Atiqur Md Atiqur Madhura Md Atiqur Madhura Course Objectives The intent of this course is to introduce you to many of the concepts and skills an engineer in indoor environmental and energy engineering may encounter Objectives of this course include 1 Develop a fundamental knowledge of indoor environmental engineering practices 2 Develop basic measurement techniques and uncertainty analysis 3 Improve and practice technical writing skills Required text ME 4131W Indoor Environment Energy Laboratory Manuals on Canvas 1 Reference texts Kuehn Ramsey and Threlkeld Thermal Environmental Engineering 3rd ed 1998 Dincer Refrigeration Systems and Applications 3rd ed 2017 available free online through UMN library ASHRAE Handbook Fundamentals available free online through UMN library Duffie Beckman and Blair Solar Engineering of Thermal Processes Photovoltaics and Wind 5th ed 2020 available free online through UMN library Grading distribution Grades are assessed on an A F scale in accordance with the University of Minnesota s grading definitions Students can monitor their current standing in the class by reviewing their grades on Canvas At the end of the course the instructor may lower the grade cutoff scores if necessary Instructors have the responsibility and authority to determine how final grades are assigned including in classes where they use numeric scores the method that will be used to translate numeric scores into letter grades https policy umn edu education gradingtranscripts The distribution of the final grade for the course is as follows 2 reports rewrites 8 executive summaries Class participation pre lab quizzes Total 40 20 each 50 6 25 each 5 5 100 Rewrites As part of the requirement for this course you will be rewriting the lab reports that you complete for this course There are no rewrites for the executive summaries The purpose of this exercise is to improve your writing skills based on feedback from your instructor and TA The original report draft and the rewritten final report will together have the same weight as a single lab report of the respective type with each version contributing to the final report grade The breakdowns are as shown below Report Original report Final report 20 of the total grade 1 2 of the report grade 1 2 of the report grade Report submission and due dates Reports and data sheets are due the week after the completion of the lab no later than 11 59 pm the evening before the next lab meeting Reports datasheets need to be submitted electronically through Gradescope The following table shows the due dates and penalties for all reports NOTE FOLLOW THIS TABLE and not the Due Date shown on Gradescope 2 Lab Day Due Date 15 Penalty of possible points available if received by No Credit Tuesday following Mon 11 59 p m 11 59 pm one week after due date After that Wednesday following Tue 11 59 p m Thursday following Wed 11 59 p m Friday following Thu 11 59 p m Each student is responsible for keeping a lab notebook to document necessary lab work Copies of relevant lab notebook pages are required to be turned in with each lab report Each student is responsible for his her own work i e any cases of plagiarism or copying of other reports will be treated according to the Student Code of Conduct Attendance To pass the course it is required to attend lab and lecture If you are not able to attend a lab section you must make arrangements with your TA ahead of time Unexcused absences from lab will result in a 0 grade for the corresponding lab report Class attendance quizzes will be given through Canvas Please bring a device to take the quiz laptop tablet phone If you do not have a device please contact the instructor Makeup Work Makeup https policy umn edu education makeupwork Final Exam There will be no final exam Working Together and Plagiarism Students are encouraged to work together however you will need to hand in your own reports and datasheets plagiarize legitimate absences accepted work only will for be vt L plagiarus kidnapper to take ideas writings etc from another and offer them as one s own Source Webster s New World Dictionary of the American Language D B Guralnic ed William Collins Publishers New York 1979 from the AEM 4602 course website used with permission from Tom Shield Plagiarism is grounds for receiving an F in this class The contents of your report must be your original work The following points may help clarify the situation All of the text of your report must be your original writing with the exception of any direct quotes from sources that you clearly reference 3 All calculations must be performed by you You may discuss data reduction with your lab partners and you may start from a common spreadsheet of raw data when the data is collected as a group However all analysis and comparisons to theory must be done by you individually All figures presented in your report must have been prepared by you Any exceptions to this must be clearly labeled as the work of others Note that you are not allowed by copyright laws to copy the artwork drawings figures photos or plots of others without permission You may use a figure prepared by one of your lab partners such as a drawing of the experimental apparatus if you clearly cite the author Use of Artificial Intelligence Language Models Artificial intelligence AI language models such as ChatGPT will likely not be a very useful tool in this class To check or improve your grammar other tools like Grammarly are likely more useful These tools may be used for assignments with appropriate citation Failure to cite AI tools when used constitute Academic Dishonesty Examples of citing AI language models are available at https libguides umn edu chatgpt You are responsible for fact checking statements composed by AI