# ENGR 102: Engineering Problem Solving II

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1 ENGR 102: Engineering Problem Solving II CLASS SCHEDULE AND LOCATION: COURSE FORMAT: CREDIT HOURS: PREREQUISITES: In-class lecture, class activities, group projects, and exams 3 credit hours ENGR 101, MATH 153 or MATH 155 with C or better INSTRUCTOR: OFFICE: OFFICE HOURS: REQUIRED TEXT: Gilat, Amos. MATLAB, An Introduction with Applications, 4 th edition, John Wiley & Sons, Inc., (ISBN ) RECOMMENDED SOFTWARE: MATLAB (2010 Student Version) REQUIRED MATERIALS: Flashdrive and binder. INTRODUCTION This course is the second part of a two-course sequence that provides a solid foundation in fundamental skills needed for beginning engineering students to academically succeed and professionally prepare for challenges in a technologically changing world. The objective of this project-based course is to prepare students for an engineering career by providing opportunities to apply mathematics to solve engineering problems, acquire and refine team working skills, practice written and verbal communication skills, enhance problem solving and design skills, and use a computer as a tool for analysis, modeling, design, and communication. COURSE CONTENT Students completing this course successfully will: Work in teams and manage projects Write technical reports, presentation materials, and posters Design and deliver an oral presentation using presentation media Presenting work at a poster session Understand and apply personal and professional ethics Use the engineering design process for problem solving Develop programming concepts using MATLAB with emphasis on applications of mathematics, probability, and statistics 1

2 STUDENT LEARNING OUTCOMES Upon completion of this course, students will be able to: Work collaboratively in a team (I.3.d) Use problem-solving techniques and apply knowledge of mathematics (algebra, geometry, trigonometry and calculus), science (basic chemistry and physics) and engineering principles to solve engineering problems (I.3.a) Define and formulate engineering problems in a form solvable on a computer (I.3.e) Break a problem into the necessary steps and develop an algorithm for its solution (I.3.e) Represent the algorithm as a flow chart or pseudo-code (I.3.e) Convert the flow chart or pseudo-code into a MATLAB program (I.3.e) Model behavior of elements within a system to better understand a problem which needs to be solved (I.3.e) Design a system, component, or process to meet desired needs (I.3.c) Prepare technical reports and posters (I.3.k) Make formal oral presentations of their work (I.3.b) Use Microsoft Word, Excel, and Power Point as tools to analyze, report on, and present data (I.3.g) Apply computer programming logic and principles, as part of the problem-solving process, to write code to perform computations, analyze data, plot data, and create a model of a system (I.3.b) Use MATLAB as an engineering tool to perform computations, analyze data, plot data, and model a simple system as part of solving an engineering problem (I.3.k) Apply ethics to make engineering decisions (I.3.f) GRADING Grades are based upon student performance on assignments, tests and quizzes, and projects, as well as upon student participation in required activities, such as study labs and a variety of outside of class experiences designed to show students more about the engineering profession. Each assessment tool is weighed as follows: 35% Projects (Projects 1 and 2 count 10% each, Project 3 counts 15%). 20% Homework, In-class Assignments, Quizzes and Portfolio. 30% Exams (5% First Exam, 10%Second Exam, 15%Final). 10% Study Lab Participation [See Study Lab Policy] 5% Out of Class Experiences [See OCE Policy] Note: Graded material will not be kept longer than one semester after the course is completed. GRADING SCALE Letter grades are assigned according to the following scale: A 90% 100% B 80% 89% C 70% 79% D 60% 69% F Below 60% 2

5 TENTATIVE COURSE SCHEDULE Week Dates Topic 1 1/14-18 Syllabus, Announcements, Intro to MATLAB (Ch 1,2) 2 1/21-25 Scalars Vectors and Arrays, Mathematical Ops (Ch 2, 3) 3 1/28-2/1 Mathematical Ops (Ch 3) Script files (Ch 4) 4 2/4-2/8 Basic Plotting (Ch 5) 5 2/11-2/15 if-end conditionals (Ch 6), Project#1 Due 6 2/18-2/22 Exam #1 7 2/25-3/1 for loops (Ch 6) 8 3/4-3/8 for loops (Ch 6) 9 3/11-3/15 while loops (Ch 6) 10 3/18-3/22 Project#2 Due, Presentations Project #2 3/25-3/29 Spring Break 11 4/1-4/5 Functions (Ch 7) 12 4/8-4/12 Function (Ch 7), Exam #2 13 4/15-4/19 Advanced Plotting (Ch 5,10), Optional Topics 14 4/22-4/26 Optional Topics, Project work 15 4/29-5/3 Project #3 Due, Presentations Project #3 16 5/6-5/10 Finals Week Note: Instructor reserves the right to make changes on this syllabus as needed. 5

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