Rochester Institute of Technology Course Outline Form Kate Gleason College of Engineering

Similar documents
PELLISSIPPI STATE TECHNICAL COMMUNITY COLLEGE MASTER SYLLABUS APPLIED MECHANICS MET 2025

PHYSICS 40S - COURSE OUTLINE AND REQUIREMENTS Welcome to Physics 40S for !! Mr. Bryan Doiron

Teaching a Laboratory Section

Application of Virtual Instruments (VIs) for an enhanced learning environment

ACTL5103 Stochastic Modelling For Actuaries. Course Outline Semester 2, 2014

Math 181, Calculus I

EGRHS Course Fair. Science & Math AP & IB Courses

Introductory Astronomy. Physics 134K. Fall 2016

Physics 270: Experimental Physics

Control Tutorials for MATLAB and Simulink

PELLISSIPPI STATE TECHNICAL COMMUNITY COLLEGE MASTER SYLLABUS APPLIED STATICS MET 1040

Improving Conceptual Understanding of Physics with Technology

MTH 141 Calculus 1 Syllabus Spring 2017

Foothill College Fall 2014 Math My Way Math 230/235 MTWThF 10:00-11:50 (click on Math My Way tab) Math My Way Instructors:

UNIV 101E The Student in the University

Spring 2015 Natural Science I: Quarks to Cosmos CORE-UA 209. SYLLABUS and COURSE INFORMATION.

Required Materials: The Elements of Design, Third Edition; Poppy Evans & Mark A. Thomas; ISBN GB+ flash/jump drive

STA 225: Introductory Statistics (CT)

MTH 215: Introduction to Linear Algebra

Undergraduate Program Guide. Bachelor of Science. Computer Science DEPARTMENT OF COMPUTER SCIENCE and ENGINEERING

Lahore University of Management Sciences. FINN 321 Econometrics Fall Semester 2017

Guidelines for Project I Delivery and Assessment Department of Industrial and Mechanical Engineering Lebanese American University

Multidisciplinary Engineering Systems 2 nd and 3rd Year College-Wide Courses

MAR Environmental Problems & Solutions. Stony Brook University School of Marine & Atmospheric Sciences (SoMAS)

AC : DESIGNING AN UNDERGRADUATE ROBOTICS ENGINEERING CURRICULUM: UNIFIED ROBOTICS I AND II

BUS Computer Concepts and Applications for Business Fall 2012

Cal s Dinner Card Deals

4. Long title: Emerging Technologies for Gaming, Animation, and Simulation

MAT 122 Intermediate Algebra Syllabus Summer 2016

D Road Maps 6. A Guide to Learning System Dynamics. System Dynamics in Education Project

Spring 2015 IET4451 Systems Simulation Course Syllabus for Traditional, Hybrid, and Online Classes

ACCT 100 Introduction to Accounting Course Syllabus Course # on T Th 12:30 1:45 Spring, 2016: Debra L. Schmidt-Johnson, CPA

Biology 1 General Biology, Lecture Sections: 47231, and Fall 2017

CIS 121 INTRODUCTION TO COMPUTER INFORMATION SYSTEMS - SYLLABUS

AC : TEACHING COLLEGE PHYSICS

Penn State University - University Park MATH 140 Instructor Syllabus, Calculus with Analytic Geometry I Fall 2010

Professors will not accept Extra Credit work nor should students ask a professor to make Extra Credit assignments.

Syllabus for ART 365 Digital Photography 3 Credit Hours Spring 2013

ITSC 1301 Introduction to Computers Course Syllabus

Examining the Structure of a Multidisciplinary Engineering Capstone Design Program

ME 4495 Computational Heat Transfer and Fluid Flow M,W 4:00 5:15 (Eng 177)

Process to Identify Minimum Passing Criteria and Objective Evidence in Support of ABET EC2000 Criteria Fulfillment

Page 1 of 8 REQUIRED MATERIALS:

Timeline. Recommendations

A Study of the Effectiveness of Using PER-Based Reforms in a Summer Setting

Developing Highly Effective Industry Partnerships: Co-op to Capstone Courses

1.11 I Know What Do You Know?

MAE Flight Simulation for Aircraft Safety

Faculty of Engineering

ASTRONOMY 2801A: Stars, Galaxies & Cosmology : Fall term

Physics XL 6B Reg# # Units: 5. Office Hour: Tuesday 5 pm to 7:30 pm; Wednesday 5 pm to 6:15 pm

Syllabus ENGR 190 Introductory Calculus (QR)

All Professional Engineering Positions, 0800

Statewide Framework Document for:

EECS 700: Computer Modeling, Simulation, and Visualization Fall 2014

Course Name: Elementary Calculus Course Number: Math 2103 Semester: Fall Phone:

Bachelor of Science in Mechanical Engineering with Co-op

GRADUATE COLLEGE Dual-Listed Courses

Study Abroad and the Picker Engineering Program


Content Language Objectives (CLOs) August 2012, H. Butts & G. De Anda

Instructor Experience and Qualifications Professor of Business at NDNU; Over twenty-five years of experience in teaching undergraduate students.

EECS 571 PRINCIPLES OF REAL-TIME COMPUTING Fall 10. Instructor: Kang G. Shin, 4605 CSE, ;

Intermediate Algebra

Level 6. Higher Education Funding Council for England (HEFCE) Fee for 2017/18 is 9,250*

ME 443/643 Design Techniques in Mechanical Engineering. Lecture 1: Introduction

San José State University Department of Psychology PSYC , Human Learning, Spring 2017

Strategic Management (MBA 800-AE) Fall 2010

Beginning and Intermediate Algebra, by Elayn Martin-Gay, Second Custom Edition for Los Angeles Mission College. ISBN 13:

CALCULUS III MATH

Extending Place Value with Whole Numbers to 1,000,000

PRODUCT COMPLEXITY: A NEW MODELLING COURSE IN THE INDUSTRIAL DESIGN PROGRAM AT THE UNIVERSITY OF TWENTE

Mathematics subject curriculum

General Physics I Class Syllabus

EQuIP Review Feedback

Foothill College Summer 2016

Accounting 312: Fundamentals of Managerial Accounting Syllabus Spring Brown

3D DIGITAL ANIMATION TECHNIQUES (3DAT)

Spring 2012 MECH 3313 THERMO-FLUIDS LABORATORY

Phys4051: Methods of Experimental Physics I

University of Pittsburgh Department of Slavic Languages and Literatures. Russian 0015: Russian for Heritage Learners 2 MoWe 3:00PM - 4:15PM G13 CL

Document number: 2013/ Programs Committee 6/2014 (July) Agenda Item 42.0 Bachelor of Engineering with Honours in Software Engineering

School of Innovative Technologies and Engineering

MGT/MGP/MGB 261: Investment Analysis

Rendezvous with Comet Halley Next Generation of Science Standards

SAT MATH PREP:

STA2023 Introduction to Statistics (Hybrid) Spring 2013

Math 96: Intermediate Algebra in Context

University of Exeter College of Humanities. Assessment Procedures 2010/11

Game-based formative assessment: Newton s Playground. Valerie Shute, Matthew Ventura, & Yoon Jeon Kim (Florida State University), NCME, April 30, 2013

AP Calculus AB. Nevada Academic Standards that are assessable at the local level only.

Guidelines for the Use of the Continuing Education Unit (CEU)

Evaluation of a College Freshman Diversity Research Program

CIS Introduction to Digital Forensics 12:30pm--1:50pm, Tuesday/Thursday, SERC 206, Fall 2015

ECO 3101: Intermediate Microeconomics

Introduction. Chem 110: Chemical Principles 1 Sections 40-52

Taylor & Francis, Ltd. is collaborating with JSTOR to digitize, preserve and extend access to Cognition and Instruction.

FIGURE IT OUT! MIDDLE SCHOOL TASKS. Texas Performance Standards Project

Nutrition 10 Contemporary Nutrition WINTER 2016

MULTIMEDIA Motion Graphics for Multimedia

Transcription:

Rochester Institute of Technology Course Outline Form Kate Gleason College of Engineering Academic Unit: Mechanical Engineering Department Quarter to Semester Transitional COURSE: 0304-280: Measurements, Instrumentation and Control Laboratory + 0304-342: Problem Solving with Computers MECE-102: Engineering Mechanics Laboratory 1.0 Course Approvals Required approvals: Requested Date: Granted Date: Academic Unit Curriculum Committee 22-Sep-10 6-Oct-10 The hybrid 0304-280 + 0304-342 course is being offered during Academic Year 2012-13 as part of the transition from quarters to semesters. This hybrid offering will cover approximately 2/3 of the material that will be included in MECE-102 Engineering Mechanics Lab beginning in the Fall of 2013. Students enrolled in this hybrid course offering during transition are expected to complete the first year courses offerings contained in their individual advising plan. 2.0 Course Information Course Title: 0304-280: Measurements, Instrumentation and Control Laboratory 0304-342: Problem Solving with Computers Credit Hours: 0304-280: 2 quarter credits 0304-342: 3 quarter credits Prerequisite(s): High School Physics Co-requisite(s): Calculus I Course proposed by: ME Faculty Effective date: August 2012 Meeting Format Contact hours Maximum students/section Classroom 2 36 Lab 2 36 Studio 2 36 Other (Recitation) 2 36 2.1 Course Conversion Designation Check if: Designation Please indicate equivalent quarter course(s): Semester Equivalent Y Semester Replacement 0304-280, 0304-342 Y New Course This course lays the foundation for the engineering science portion of the mechanical engineering curriculum. Engineering Mechanics Laboratory is a 3-SCH course that

merges the existing Measurement, Instrumentation and Controls course, and the Problem Solving with Computers course to provide a comprehensive introduction to the foundations of classical mechanics in the context of formal engineering labs and modern engineering tools. 2.2 Student Requirements Students required to take this course (Program/Year) BS ME Students/1 Students who may elect to take this course (Program/Year) This course is not proposed for students other than BS ME students. 3.0 Goals of the course (including rationale for the course, when appropriate): The goal of this course is to develop a strong foundation in Newtonian mechanics that students will build upon throughout their mechanical engineering curriculum. Using the student's prior exposure to high school physics, this course will extend student's knowledge of physics while integrating a formal understanding of the definition of derivatives and integrals. Students will learn the basics of good scientific laboratory and experimental techniques and develop the skills to present technical information in a formal engineering laboratory report. Students will complete homework assignments in an engineering logbook to develop good study skills and homework habits. Students will demonstrate an ability to conduct experiments, and analyze and interpret the resulting data. Students will demonstrate an ability to communicate effectively using modern computing tools such as EXCEL, MATLAB, and LABVIEW. 4.0 RIT Catalog Course description THIS IS A TRANSITIONAL COURSE OFFERING TO SUPPORT: Course Number: MECE-102 Engineering Mechanics Laboratory This course examines classical Newtonian mechanics from a calculus-based fundamental perspective with close coupling to integrated laboratory experiences. Topics include kinematics; Newton's laws of motion; work, energy, and power; systems of particles and linear momentum; circular motion and rotation; and oscillations and gravitation within the context of mechanical engineering, using mechanical engineering conventions and nomenclature. Each topic is reviewed in lecture, and then thoroughly studied and analyzed in multiple accompanying laboratory sessions. Students conduct experiments using modern data acquisition technology; and subsequently analyze, interpret, and present the results using modern computer software. (Pre-requisites: High School Physics; Co-requisites: Math-181 Differential Cal) Class 1, Lab 2, Studio 2: Credit 3 5.0 Possible resources (texts, references, computer packages, etc.) Note Text, Reference, or Other Resource Description Engineering Mechanics - Week by Week. E-Textbook. By Edward Hensel, Risa Robinson, John Required Wellin, and Timothy Landschoot. Required Lab and Studio Tutorials provided through mycourses. 6.0 Topics (Outline) Format Week Topic Description Text Reference Homework

Lecture 1 1 Course Foundations Section 1.1 Lab 1 2 Sensor Calibration Section 1.2 Studio 1 3 Graphing and Linear Curve Fits Section 1.3. Recitation 1 4 Problem Solving Section 1.4 Lecture 2 1 Newton's Law of Gravity Section 2.1 Lab 2 2 A Single Body in Free Fall Section 2.2 Studio 2 3 Estimate the value of g Section 2.3. Recitation 2 4 Problem Solving Section 2.4 Lecture 3 1 Newton's First and Second Laws Section 3.1 Lab 3 2 A Single Body in Constrained 2-d Section 3.2 motion Studio 3 3 Vectors and Components of. Section 3.3 Velocity and Acceleration Recitation 3 4 Problem Solving Section 3.4 Lecture 4 1 Newton's Third Law Section 4.1 Lab 4 2 A System of Bodies in Constrained Section 4.2 2-d motion Studio 4 3 Analysis of a System of Bodies Section 4.3. Recitation 4 4 Problem Solving Section 4.4 Lecture 5 1 Exam Preparation. Section 5.1 Study for exam. Review of Lab 5 2 Lab make-ups. Chapters 1- Lab make-ups. 4. Studio 5 3 Computer based training. Section 5.3 Study for exam. Students will review the concepts, Review of Recitation 5 4 terminology, and topics covered since the beginning of the course. Chapters 1-4. Study for exam. Exam Room 5 5 Exam 1. All students will participate in a common exam. of Chapters 1-4. Lecture 6 1 Work and Energy Section 6.1 Lab 6 2 Curvilinear Motion Section 6.2 Studio 6 3 Work and Energy Simulation Section 6.3 Recitation 6 4 Problem Solving Section 6.4 Take Exam..

Lecture 7 1 Impulse and Momentum Section 7.1. Lab 7 2 Two Body Impact Section 7.2 Studio 7 3 Impulse and Momentum. Section 7.3 Simulation Recitation 7 4 Problem Solving Section 7.4 Lecture 8 1 Hooke's Law Section 8.1 Lab 8 2 Stationary Spring Mass System Section 8.2 Studio 8 3 Spring Constant and Elastic. Section 8.3 Potential Energy Recitation 8 4 Problem Solving Section 8.4 Lecture 9 1 Simple Harmonic Motion Section 9.1 Lab 9 2 Spring Mass Oscillation Section 9.2 Studio 9 3 Initial Value Problem Simulation Section 9.3. Recitation 9 4 Problem Solving Section 9.4 Lecture 10 1 Pending - Angular Momentum Section 10.1 Lab 10 2 Pending - Simple Pendulum Section 10.2 Studio 10 3 Pending - Angular Components. Section 10.3 Recitation 10 4 Problem Solving Section 10.4 Examinatio 11 1 Cumulative Final Examination of Chapters n 1-10. 7.0 Intended course learning outcomes and associated assessment methods CLO Number 1 2 Course Learning Outcome Description 1 Remember: Given a term, equation, theory, graph, or diagram, students will be able to cite related definitions and facts, and recognize and label Examination relevant characteristics of individual terms in an equation, diagram or graph. Understand: Given a term, equation, theory, graph, diagram, students will be able explain the physical meaning of individual and groups of variables, Examination 2 Quizzes Quizzes

3 4 5 6 explain related assumptions, and identify how and when information is utilized to solve problems. Apply: Given a governing equation or process, and input parameters (only those needed, but can be in a different form or with different units), students will be able to associate the given information with terms in the governing equation, make necessary conversions to obtain appropriate input values and apply the governing equation or process, to a single component system in order to obtain an unknown parameter. Analyze: Given a problem statement and input parameters (can include non-relevant parameters), (Note: governing equation is not identified) students will be able identify the applicable theories available to solve the problem, state appropriate assumptions relating to the chosen solution method, distinguish between relevant and non-relevant information, break material into its constituent parts, organize and determine how the parts relate to one another and to the applicable principles, and carry out the solution method in order to solve for unknown parameters. Create: Given a loosely defined open-ended problem with few or no input parameters, (for example, an ill-defined design project or a problem with no governing equation provided), students will be able to identify the specific problem to be solved, formulate a solution method, gather the appropriate input parameters, identify and apply the appropriate theories, state and justify assumptions, develop a design, project plan or test design and build a structure or experimental set up. Evaluate: Given a problem that has more than one possible answer or can be solved in more than one way, or data that could lead to more than one conclusion, students will be able to identify and compare against the appropriate criteria, make judgments about accuracy, quality, cost, time and efficiency and make decisions regarding the appropriate next-steps. 8.0 Program outcomes and/or goals supported by this course CLO Number ABET SO Number 3 a 3 b c Course Learning Outcomes Mapped to ABET Student Outcomes ABET Student Outcome Description Ach. Level Benchmark Data Source an ability to apply knowledge of mathematics, science, and engineering. an ability to design and conduct experiments, as well as to analyze and interpret data. an ability to design a system, component, or process to meet desired needs within realistic constraints such as N/A economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability. 3 d an ability to function on multidisciplinary teams. 3 e an ability to identify, formulate, and solve engineering problems. 3 f an understanding of professional and ethical responsibility. 3 g an ability to communicate effectively. h the broad education necessary to understand the impact N/A

of engineering solutions in a global, economic, environmental, and societal context. i a recognition of the need for, and an ability to engage in N/A life-long learning. j a knowledge of contemporary issues. N/A 3 k an ability to use the techniques, skills, and modern engineering tools necessary for engineering practice. 9.0 General Education Learning Outcomes supported by this course This course is not being used to satisfy general education credit. 10.0 Other relevant information This class is taught using multiple resources including on-line materials through mycourses, lectures in a class room, experiments in a dedicated LAB, analysis in a computer STUDIO, and problem solving recitations in a class room. Instructional Methodologies Used to Achieve the CLOs This class is a hybrid lecture and laboratory course. The course is broken into two modules, each of which is five weeks in duration. Each week will cover one chapter of this book. Each day will cover one section of each chapter. The days will consist of Lecture, Lab, Studio, and Recitation. We must prepare for each day before coming to class, participate in each class, reflect on each class, and do independent work following each class. Attendance is mandatory, and critical. Punctuality is crucial. Students who are tardy or absent from any class session are expected to catch up on their own, outside of class time. We have plenty of resources to help us stay on track, and get caught up if we miss a day. Each week will begin with a lead-off lecture presented by the course professor. This lecture will introduce a fundamental concept of classical mechanics, and relate this concept to foundation math courses, experimental validation, and data analysis. Students will participate in a laboratory activity each week, wherein they will learn how to use modern data acquisition and experimental techniques to investigate the concept. Students will also participate in a computer studio activity each week, wherein they will learn how to use modern tools for presentation, analysis, and interpretation of experimental data. Students will conclude each week with a recitation period, wherein they will apply the concept to the solution of practical problems. Students will be assigned homework problems to be completed individually. Student lab groups will be assigned projects to be completed in a group, with individual and group submissions. Students may collaborate with one another to learn course material, but all work presented for evaluation must represent the individual effort of the student.