ENGR 111 COMPUTER SCIENCE FOR ENGINEERS I College of Information Technology & Engineering Weisberg Division of Engineering and Computer Science

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1 College of Information Technology & Engineering Weisberg Division of Engineering and Computer Science Semester and Year: Spring, 2008 Classroom Sections, Locations, and Meeting Times: Section: 201 CRN: 2339 Days: TR Time: 11:00 12:15 Location: GH211 Section: 202 CRN: 2340 Days: TR Time: 12:30 1:45 Location: GH211 Textbook: None; notes will be provided. Students will be required to purchase a Casio fx115es (not the MS or MS Plus) calculator. These are available, generally for about $20 at the MU bookstore and retail outlets. Catalog Description: An introduction to computer programming fundamentals using a high level language, with an emphasis on engineering related applications; an introduction to object oriented programming techniques (PR or CR: MTH 122 and MTH 130 or MTH 132 or higher). Instructors: William E. Pierson Office Location: Gullickson Hall Room 112 Office Hours: 9:00 9:50 MTWRF and 2:00 2:50 MTWTF (or by appointment) Phone: (304) Departmental Fax: (304) Jonathan Thompson Office Location: Gullickson Hall Room 205C Office Hours: MWF 10:00 to 11:00 and MWF 12:00 to 1:00 (or by appointment) Phone: (304) Departmental Fax: (304) Course Objectives The objective of the course is to introduce engineering students to problem solving techniques using manual techniques, spreadsheets, and a high level programming and computational tool such as MATLAB or OCTAVE. More specifically, Manual techniques will involve using the Casio fx115es which is an acceptable calculator for the Fundamentals of Engineering (FE) exam. Spreadsheet programs will be used to implement several commonly encountered engineering calculations, especially those problems that require analyzing tabular data. Students will be introduced to a commonly used computational and programming environment used in engineering analysis, especially for applications involving matrices. Basic programming aspects such as logical operations, relational operations, conditional execution, and loop structures will also be introduced. The course will use typical engineering applications as examples and emphasize a methodology used in solving engineering problems. Furthermore, an emphasis will be placed on good presentation of solutions. Page 1 of 5

2 Course Outcomes: At the completion of this course the student will be able to: a) Effectively use a calculator to solve typical engineering problems that will be encountered in higher level engineering courses. b) Use a logical, well organized solution methodology, including appropriate documentation and solution verification. c) Use a spreadsheet program to solve typical engineering problems. d) Use relative and absolute cell references when copying cells within a spreadsheet. e) Use spreadsheets to perform engineering calculations and operations using built in functions, plotting facilities, and Solver. f) Use an interactive computational environment (such MATLAB or OCTAVE) to solve commonly encountered engineering problems, especially those involving matrices. g) Interpret and generate pseudocode and/or flowcharts to describe an algorithm that involves conditional execution statements and loops. h) Create, edit, save, debug, and execute scripts. i) Create, access, and manipulate vectors and arrays in mathematical, logical, and relational expressions. j) Create modular programs using user defined functions. k) Create various types of plots to enhance the presentation of an engineering analysis. Course Activities: Quizzes Quizzes will be given regularly. The objective of the quizzes is to actively engage students and to provide feedback about the level of understanding. Quizzes will be based upon lecture material, homework, and reading assignments. Some of the material for quizzes will be identical to items that are available online at the course WebCT site. One way for students to prepare for the inclass quizzes is to complete these on line quizzes available through WebCT. Homework A significant number of homework problems will be assigned and graded. Typically, about one homework assignment will be made each week. Some important notes about HW assignments: Assignments are due at the beginning of class on the due date. Without a valid excuse (see institutional absence policy), late HW will not be accepted. Typically, a week will be given to complete assignments. Students should start the assignments immediately so that they will have an opportunity to ask questions during the intervening class period or by contacting the instructor. Exams The will be three exams, one at the end of the first five weeks (using the fx115 Calculator), one at the end of ten weeks (on spreadsheets) and one during the final exam period (on MATLAB). Class Attendance and Participation Students are expected to attend all class sessions and participate in class activities. Attendance will be taken and influence the overall grade in the course (see below). The MU policy on absences will be followed (MU BOG Absence Policy ). Students should read and understand this policy. Lab Assignments Learning to use calculator, spreadsheets, and MATLAB requires hands on, active participation, not just listening to a series of lectures. Hence, weʹve designed a series of lab exercises that will give Page 2 of 5

3 you a chance to implement the material covered in the lectures. We will start most of these labs during class so that the instructors are available to answer questions, clarify the requirements, or to help get you started. If you do not complete a lab during class hours, then you are expected to complete the assignment out side of class. The computer science lab in Gullickson Hall Room 206A is available during the day Monday through Friday from 9:00 to 4:00. The lab is also open between 4:00 and 9:00pm, Monday and Wednesday. Tutors are available during this time if you need assistance or run into problems. Evaluation/Grade Computation: Course grades are based on weighted percentage averages. Your final grade will be derived by multiplying each individual Student Activity score by the weighted percentage and summing all of the weighted percentage averages. Student Activity Individual Score Weighted % Quizzes x 0.15 Homework x 0.20 Exams x 0.60 Class Attendance and Participation x 0.05 Grand Total = Weighted % Average Evaluation Scale 90% & Above =A 80% 89% = B 70% 79% = C 60% 69% = D 59% & Below = F Attendance Students are expected to attend and participate in all class meetings. Attendance will be taken. Homework: 1. Homework will be assigned weekly and must be submitted by the due date. Late homework will not be accepted. 2. Handwritten assignments should be submitted on engineering paper using the format described in class. Computer generated results should be formatted for 8.5 x 11 output and presented in a neat manner that is easy to read. You should show all steps and (where appropriate) calculations to each problem. Answers should be clearly marked and easy to find. The name(s) of the student(s) and the number of the problem should be shown at the top of each sheet. Computer programs (MATLAB scripts) should be well documented (commented) and thoroughly tested before submission. 3. Students are encouraged to work together on programming and homework assignments; however, cheating will not be tolerated on exams or quizzes. Any student caught cheating on an exam or quiz will receive a zero. Communication: Assignments, lecture notes, class communications (e mail), etc, are all handled via the course WebCT/Vista site. Be sure to log into WebCT/Vista regularly to check for course news. Adaptive Methods for Disabilities: Students with disabilities who believe that they may need accommodations in this class are encouraged to contact the instructors as soon as possible to better ensure that such accommodations are implemented in a timely fashion. A reasonable period of time must be given to the instructors when making your initial request for any accommodation. Students seeking special accommodations due to disability need to follow the university policy outlined at Page 3 of 5

4 Schedule of Topics (Tentative, subject to change): Class # Day Topics Covered fx115 1 Jan. 15 Introductions, Course Expectations Problem solving methodology 2 Jan. 17 Calculator Basics Engineering Economics, Interest Factors 3 Jan. 22 Polynomial Basics, Inclass Quiz 4 Jan. 24 Dynamics, Projectile Motion 5 Jan. 29 Basic Trigonometry, Geomatics 6 Jan. 31 Statics, Vector Arithmetic 7 Feb. 5 Simultaneous Equations 8 Feb. 12 Natural numbers and logarithms 9 Wrap up and review 10 Feb. 14: Exam #1 Excel 11 Feb. 19 Spreadsheet Basics fx115 Basics : Setup Menu, Modes, Constants. Display Evaluating powers and logarithms Find roots (EQU mode) and understand significance Determine rate of change ( y (t) ) Use rate of change to determine ymax Evaluating polynomial to generate height versus time plot (using SOLVE) Right triangle trigonometry Law of sines and cosines; Area formula Polar to rectangular conversion Rectangular to polar conversion Force summation Flower pot example, calculating unknown forces Setting up and solving 2x2 and 3x3 equations 2x2 Nodal Analysis example; 3D Force Example Exponential growth, evaluating Ke at Calculating db noise levels (log10) Computing memory size (log2) Rows, Columns, and Cells; Menus Cell Addressing: relative versus absolute addressing Formatting and printing spreadsheets Copying cells ; Worksheets 12 Feb. 21 Engineering Example Projectile motion problem 13 Feb. 26 Plotting in Excel Plot types Labeling plots Editing and controlling plot attributes 14 Feb 28 Engineering Economics and Excel Entering equivalent value equations: PV, FV, AV Built in Excel Financial Functions 15 Mar. 4 Iterative solutions in Introduction to Solver Excel 16 Mar. 6 Excel Solver Using Solver to optimize an engineering design Using Solver to find IRR, the IRR function 17 Mar 11 Basic Statistical Measures Mean, median, standard deviation Excel statistical functions Engineering example: concrete sample strength 18 Mar. 13 More Excel Functions Mathematical functions; Date & Time Lookup Functions 19 Mar 18 Wrap up and review 20 Mar. 20 Exam #2 Page 4 of 5

5 MATLAB 21 March Spring Break Apr. 1 Introduction to MATLAB Enjoy and Be Safe Starting MATLAB The MATLAB environment Matlab command line window Special MATLAB constants 22 Apr. 3 MATLAB Operators Scalar and vector operations the colon (:) operator Special Matlab functions Example: projectile motion 23 Apr. 8 Plotting in MATLAB Creating and controlling MATLAB plots Editing, saving, and copying MATLAB plots 24 Apr. 10 MATLAB Scripts Creating, editing, and debugging MATLAB scripts User Defined functions 25 Apr. 15 Conditional Execution 26 Apr. 17 MATLAB Matrix Operations flow charts if statements loops Creating and editing matrices Manipulating matrices Solution of simultaneous equations using MATLAB TBA 27 Apr. 22 MATLAB Engineering Example #1 28 Apr. 24 MATLAB Engineering TBA Example #2 29 Apr. 29 MATLAB Engineering TBA Example #3 30 May 1 Wrap up and review 15 Exam #3 During Final Exam Period Page 5 of 5

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