T/TH 12-2 pm
or by appointment
Collusion is defined as “the unauthorized collaboration with another person or by any other means, including artificial intelligence (AI) and computer translators, in preparing work for fulfillment of course requirements.” Using AI like (ChatGPT or Google Gemini) to create a document is considered colluding. <strong>The use of Generative Artificial Intelligence on specific assignments is at the discretion of the instructor. </strong>
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ITSE-1329-002 Programming Logic and Design
Problem-solving applying structured techniques and representation of algorithms using design tools. Includes testing, evaluation, and documentation.
Student ResourcesStudent Resources Website
Notice to Students enrolled in an educational program for preparation of issuance of certain occupational licenses:
Students enrolled in an educational program in preparation for obtaining certain occupational licenses are potentially ineligible for such license if the student has been convicted of an offense. For further information, please contact:
Melodie Graves
Justice Involved Advocate
Student Service Center 117
mgraves24@actx.edu
806-371-5995
Make appointment at https://melodiegraves.youcanbook.me
You can also contact the Legal Clinic, or the faculty member in charge of the educational program that you seek to enroll in. The further information you will receive will include notification to you of your right to request a criminal history evaluation letter from the licensing authority in order to clarify your particular situation.
(3 sem hrs; 2 lec, 4 lab)
Hybrid
Programming Logic and Design, 10e, Joyce Farrell
Although you have outside buying options available, speak with your instructor before buying from a source other than the AC Bookstore. We want to ensure you have the correct product. The book is an online book with homework assignments and is required for this course.
The physical textbook is NOT required. If you do purchase from an outside vendor, make sure and get the 10th edition. ISBN-13: 978-0-357-88087-6
Course Objectives: The course introduces fundamental concepts of computer programming, emphasizing logic, structured problem-solving, and design techniques. Students will focus on structured flowcharting and pseudocode, learning to develop and analyze solutions for simple programming problems while evaluating more complex scenarios. Although this is a programming logic course, not a programming language course, the Python programming language will be used to implement logical solutions. Additionally, students will explore how AI tools can assist in coding, problem-solving, and debugging, as well as how AI can be used to deepen their understanding of programming concepts through personalized learning, interactive examples, and immediate feedback. By the end of the course, students will be able to deconstruct large, computer-oriented problems into manageable components, design algorithms for each part, and integrate them into cohesive, structured solutions. Throughout the course, students will practice creative, critical, and analytical thinking skills.
Course Competencies: Upon successful completion of this course, students will be able to apply modular and structured programming techniques to develop correct and well-designed logic for common business applications. They will gain proficiency in using program development tools such as algorithms, flowcharts, pseudocode, and hierarchy charts. Students will also learn key programming concepts, including data types, variable naming conventions, logic structures, counting and accumulating, formatting, arrays, and modular programming, all within the context of the Python programming language.
Specific Competencies Related to Content: Upon successful completion of the course, the student will be able to:
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If you are an active staff or faculty member according to Human Resources, use "Exchange". All other students, use "AC Connect (Google) Email".
Students are expected to maintain a high standard of individual honor in their scholastic work. Students who are guilty of cheating, plagiarism, copying, or dishonesty may receive a 0 on an assignment; may be excluded from class with a grade of F; or, in flagrant cases, may be suspended from the College (see Student Rights and Responsibilities).
Students who give another student their files or allow another student to use their work are committing a violation of the Student Code of Conduct. Students who engage in this unethical behavior risk being subject to disciplinary action in accordance with College policy.
The Faculty of the CIS Program reserve the right to ask a student to verify any portion of a test or assignment by reproducing any specific section or the entire test/assignment in question.
Any action that compromises the computer systems at Amarillo College, including but not limited to hacking or cracking, can result in a grade of "F" in this course and possible further disciplinary action.
Final grades will be assigned as indicated below.
>89.5 = A
>79.5 = B
>69.5 = C
>59.5 = D
<59.5 = F
EVALUATION:
Your grade for the course is based on the following:
Cengage MindTap Assignments: (Review Questions and Code It Labs) | 20% | |
In class work: (Quizzes and In-class labs) | 20% | |
Group Work: (Group labs - 20 percent and Class Project - 10 percent) | 30% | |
Exams: (2 Major Exams and a Final Exam) | 30% |
LATE WORK IS NOT ACCEPTED without approval prior to due date. It is your responsibility to complete each assignment, all homework, and take exams on the scheduled dates. This is NOT an online class, and participation in the programming and group work in class is a requirement for the course.
For Cengage MindTap work, A 10% penalty will be applied to all late work with a 2-day maximum.
No late work or makeup work for Group Work or Quizzes. Any major exam missed can be made up by counting the final exam twice (excused absences only).
Mandatory Tutoring Policy for this class: Any time a student's overall course grade falls below 75%, the student is required to attend a tutoring session. The course tutor will review any missed objectives and re-emphasize the concepts missed in the assignments.
ITSE 1329, Programming Logic & Design
See the checklist posted in your Blackboard course for particular assignments and due dates.
Week | Topic | Book |
1 | Introduction | |
2 | Overview of Programming | Ch 1 |
3 | Introduction to Python | |
4 | Elements of High Quality Programs | Ch 2, 3 |
5 | Exam1 (Ch 1-3, Python) and Class Project | |
6 | Making Decisions | Ch 4 |
7 | Making Decisions | Ch 4 |
8 | Making Decisions | Ch 4 |
9 | Loops | Ch 5 |
10 | Loops | Ch 5 |
11 | Exam 2 (Ch 4-5, Python) and Class Project | |
12 | Arrays | Ch 6 |
13 | Advanced Modularization Techniques | Ch 9 |
14 | Advanced Modularization Techniques | Ch 9 |
15 | Class Project Presentations | |
16 | Final Exam (Ch 1-9, Python) |
IMPORTANT DATES TO REMEMBER:
January 13 Spring Classes Begin
January 20 Martin Luther King Jr. (Campus Closed)
January 29 Census Day (Administrative Drop for Non-Attendance)
March 10 – 14 Spring Break (Campus closed 3/13-3/16)
March 17 Spring II Begins
April 7 Registration Begins Summer 2025
April 17 Last Day to Withdraw (16-Week Courses)
April 18-20 Easter Holiday (Campus closed)
May 5 – 9 Final Exams Week
May 9 Commencement
01/09/25 2:18 PM
01/09/25 5:54 PM