ENGR102_Syllabus_F23+v003_467_567

ENGR 102 Syllabus ENGR 102 – Syllabus.v0, Fall 2023 Page 1 of 9 Course Information Course Number and Section: ENGR 102, Sections 467 & 567 Course Title: Engineering Lab I: Computation Time and Location: TR 10:05 – 11:55 am Zach 240 Credit Hours: 2 Instructor Details Instructor: Jorge Lara, PhD Office:482-A E-Mail: jlara@tamu.edu Office Hours: TR 12:00 – 1:00 pm Course Description Introduction to the design and development of computer applications for engineers; computation to enhance problem-solving abilities; basic concepts of software design through the implementation and debugging of student-written programs; introduction to engineering majors, career exploration, engineering practice within realistic constraints, e.g. economic, environmental, ethical, health and safety, and sustainability; pathways to success in engineering. Course Prerequisites C or better in MATH 150 or 151, or concurrent enrollment; admission to the college of engineering. This course provides an introduction to the design and development of computer applications for engineers. No prior experience in programming is necessary. Students will learn to use computation to enhance their problem-solving abilities. The course will cover basic concepts of software design through the implementation and debugging of student-written programs. This course also introduces engineering majors that are available to students, types of work engineers in their field do, engineering practice within realistic constraints, e.g. economic, environmental, ethical, health and safety, and sustainability, and the paths to success in their chosen field. Special Course Designation N/A Course Expectations You are expected to: ● Always use your @tamu.edu e-mail account to send correspondence between yourself and the teaching team. Always include “ENGR102” in the subject line for all correspondence. Check your @tamu.edu email account daily. ● Use your Canvas account ( http://canvas.tamu.edu/ ) to access course information, assignments and your grades. ● Be an active problem solver, contributor, and discussant in class. ● Be prepared and accountable for class by reading the assigned material ahead of time and be able to answer simple questions over said material. ● Be held accountable for all assigned material that is, or is not, explicitly discussed in class. ● Have a public presence in the class. ● Attend class as a community expectation.

ENGR 102 Syllabus ENGR 102 – Syllabus.v0, Fall 2023 Page 2 of 9 ● Be cooperative with your team and work with them, not compete against them. ● Learn interdependently with your team and your peers. ● Learn to be accountable to your team and have your team accountable to you. ● Work with your team to complete the team assignments in class. Be prepared to meet with your team outside of class to complete assignments when needed. ● Rely on, and trust, your peers, as well as the faculty and staff to learn the course material. Course Learning Outcomes Upon successful completion of this course, students will be able to: ● Demonstrate the use of basic programming techniques in the construction of computer programs, including techniques to: o Collect, store, and manipulate data within a computer program o Collect, create, store, and manipulate data in larger structures such as arrays, matrices, and lists o Use control structures, such as conditionals and loops, in computer programs o Declare and use functions to solve computing-related problems o Analyze data from a file and output processed results to a file o Decompose a complicated task into more manageable pieces ● Apply programming techniques to solve problems in engineering, including o Applying vector and matrix manipulation of data to solve engineering problems o Graphically plotting data to visualize data and modeling concepts o Manipulating data to numerically calculate derivatives in the context of engineering applications o Applying conditionals and loops to implement numerical methods, such as bisection and Newton’s method ● Complete a team programming assignment that ties together concepts learned in the class ● Complete the required homework assignments for introduction to engineering majors, engineering practice, and student success Textbook and/or Resource Materials The course has one required textbook: ENGR 102: Engineering Lab I Computation - Publisher: zyBooks Important! – This is an electronic book. You can purchase an access code either at the bookstore, or online through the course Canvas web site. Do not buy at both the bookstore and online! It is not recommended to purchase a book and code package from other retailers, since their codes will not give you proper access to the publisher’s online ma terials. You must purchase the textbook in order to submit your lab assignments. Other Required Materials/Supplies 1. Your BYO computer. You should have the required course software (Microsoft Office, Python 3 and associated IDE) installed. Microsoft Office is available from TAMU Software. Python 3 et al. will be installed in class. 2. Your required smartphone. Your cellphone may not be used as a calculator during exams. 3. Access to your TAMU Google Drive. This is a free service arranged by TAMU, and will make teamwork much easier.

ENGR 102 Syllabus ENGR 102 – Syllabus.v0, Fall 2023 Page 3 of 9 Other Pertinent Course Information Languages: The primary language used in this course will be Python 3. Different sections may use different Integrated Development Environments (e.g. PyCharm, Spyder, VS Code); consult your instructor. Introduction to Majors: Information modules on the departments and majors of the college will be presented at various points of the term. The weeks during which these modules are made available have been coordinated with other departments' planned activities. The goal of these modules is to improve student understanding of the breadth of engineering disciplines to aid in their selection of a major and to introduce the practice of engineering. Grading Policy ● Exam 1 (20%) – 110-minute in-class midterm exam ● Exam 2 (25%) – 110-minute comprehensive second exam ● Classwork (44%) – You will have a variety of assignments throughout the term, including lab assignments and in-class quizzes. Lab assignments will be assigned with each topic and are designed to help students understand the course material, provide practical programming experience, and help improve problem-solving abilities. Labs will consist of both in-class activities and take-home assignments. While many assignments will be individual, some lab assignments will be done in teams. In-class quizzes consist of questions concerning material in the lecture and lab assignments. The purpose of the quizzes is to help you stay caught up on the lecture material in the class as well as to test your understanding of the lab assignments. ● Department Module Homework assignments (8%) – Students must complete the assignments having to do with the introduction of the engineering disciplines & engineering practice, as well as the modules addressing student success. ● Industry Night Essay and DI Saturday Essays (3%) - You will be required to attend 1 Industry Night Seminar during the term. These are informational events featuring different companies that hire engineering graduates. Information on dates and companies will be forthcoming. You will be required to attend 2 Department Information Presentations on October 14, 2023 . For all of these events, you will need to submit a short (250-word) essay indicating you attended and paid attention. More details on Industry Nights and DI Saturday will be forthcoming. The following grading scale will be used to determine your semester course grade: A ≥ 90% > B ≥ 80% > C ≥ 70% > D ≥ 60% > F Rules for Electronically Submitted Work When submitting a file electronically via a Canvas or zyBooks submission box, you are required to check that the file was uploaded successfully. This may be checked by trying to download the file that you just submitted. This helps prevent errors such as when students may inadvertently <Save> rather than <Submit> or submit a corrupted file. Work that was <Saved> but not <Submitted> cannot be accessed by the grading team and therefore will not be graded.