00 Prontuario inge 3016
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This document provides information about a 3-credit algorithms and computer programming course offered at the University of Puerto Rico Mayagüez Campus. The course aims to teach students how to develop algorithms, implement them using a structured high-level language, and apply programming techniques to solve engineering and mathematical problems. Pre-requisites include courses in calculus. The course uses lectures, labs, and projects to teach topics like problem analysis, algorithm design, programming fundamentals, control structures, and arrays. Students are evaluated through exams, assignments, quizzes, and a final project.
00 Prontuario inge 3016
- 1. University of Puerto Rico Mayagüez Campus College of Engineering Department of Engineering Science and Materials 1. General Information: Alpha-numeric codification: INGE 3016 Course Title: Algorithms and Computer Programming Number of credits: 3 Contact Period: 3 hour lectures per week 2. Course Description: English: Development of algorithms and their implementation in a structured high level language. Programming techniques applied to the solution of engineering and mathematical problems. Spanish: Desarrollo de algoritmos y su implantación utilizando un lenguaje estructurado de alto nivel. Técnicas de programación aplicadas a la solución de problemas de ingeniería y de matemáticas. 3. Pre/Co-requisites and other requirements: MATE 3005 or MATE 3143 or MATE 3172 or MATE 3174 4. Course Objectives: After completing the course, the student should be able to apply acquired computer programming skills to the solution of engineering problems. The student will be able to: Demonstrate ability to design, edit, compile, and run a bugs-free robust computer program in a high level language Use algorithms development tools to develop a computer solution for engineering related problems, which include the skills neccessesary to: a) Divide a complex problem into simpler and easier problems. b) List the steps necessesary to solve problems in an organized manner. c) Design and apply programming control structures to the solution of problems. 5. Instructional Strategies: conference discussion computation laboratory seminar with formal presentation seminar without formal presentation workshop art workshop practice trip thesis special problems tutoring research other, please specify: 6. Minimum or Required Resources Available: N/A 7. Course time frame and thematic outline Outline Contact Hours Introduction to Computer Systems 5 a. Basic Components & Definitions b. Binary Numeric System c. Internal Representation of Information Problem Analysis and Design of Algorithms 7 a. Problem Analysis and Specification Course Syllabus
- 2. b. Algorithms 1. Flowcharts 2. Pseudocodes c. Structured Algorithms 1. Sequential Structure 2. Selection Structure 3. Repetition Structure i. Counter, Accumulator, and Flag Variables First Test 1 Fundamentals of a High Level Language 5 a. General Characteristics b. Constants and Variables c. Types of Data d. Arithmetic Expressions e. Logical Expressions f. Assignment Statement Input/output Alternatives 5 a. Interactive programming b. Batch processing c. Files Processing Control Structures 10 a. Selection Structures Second Test 1 b. Repetition Structures and Iteration Techniques Modular Programming 5 a. Definition and Importance b. Subprograms Third Test 1 Arrays and Records 5 a. Declaration b. Input/Output c. Manipulation Total hours: (equivalent to contact period) 45 Notes: The time frame provides the opportunity to incorporate throughout the course elements particular to the programming tool used, which may vary among the course sections offered. The evaluation strategy is to be determined by the instructor, which might decide on a different number of tests. The content of each test is also subject to the consideration of the instructor. 8. Grading System Quantifiable (letters) Not Quantifiable 9. Evaluation Strategies Exam 1--------------------20% Exam 2------------------- 20% Exam 3------------------- 20% Final Project--------------20% Assignments--------------15% Short Quizzes--------------5% TOTAL--------------------100%
- 3. 10. Bibliography: Textbook: (to be identified by the professor at the beginning of the semester) Chapra, Steven C., “Introduction to VBA for Excel”, Second Edition, 2010, Prentice Hall. Albright, S. Christian, “VBA for Modelers: Developing Decision Support Systems with Microsoft Office Excel”, 2012, Thomson Learning. Reed Jacobson, “Excel 2002 Visual Basic for Applications Fundamentals”, 2001, Microsoft Press. 11. According to Law 51, students will identify themselves with the Institution and the instructor of the course for purposes of accommodations. For more information please call the Student with Disabilities Office, Dean of Students Office, at (787)265-3862 or (787)832-4040 extensions 3250 or 3258. Prepared by: Approved by: Freya Toledo, MS Aidsa Santiago, PhD Coordinator Department Chair Programming Courses Committee Revised: September 2016