Duce, Patricia A.

English

University of Montana

University of Montana ScholarWorks at University of Montana University of Montana Course Syllabi, 2021-2025 Spring 2-1-2022 CSCI 151.02: Interdisciplinary Computer Science I Patricia A. Duce University of Montana, Missoula, ducepa@umontana.edu Follow this and additional works at: https://scholarworks.umt.edu/syllabi2021-2025 Let us know how access to this document benefits you. Recommended Citation Duce, Patricia A., "CSCI 151.02: Interdisciplinary Computer Science I" (2022). University of Montana Course Syllabi, 2021-2025. 177. https://scholarworks.umt.edu/syllabi2021-2025/177 This Syllabus is brought to you for free and open access by ScholarWorks at University of Montana. It has been accepted for inclusion in University of Montana Course Syllabi, 2021-2025 by an authorized administrator of ScholarWorks at University of Montana. For more information, please contact scholarworks@mso.umt.edu. CSCI 151: Interdisciplinary Computer Science I Instructor information Instructor: Trish Duce Email: ducepa@mso.umt.edu Phone: (406) 370-9432 Office: Social Science 412 Office hours: M, W 1:00pm-1:50pm or by appointment  Course description: Learning to program is the first step in understanding the nature of computer science's undeniable impact on the modern world.  This class will teach the basic skills for computational problem solving that are applicable in many modern computer environments.   Learning Outcomes: 1. Proficient use of basic elements:  variables, assignment statements, built-in data types, flow of control, arrays, and input/output.    2. Apply the concept of modular programming (functions and modules):  divide a program into components that can be independently debugged, maintained, and reused. 3. Problem solve using recursion. 4. Apply knowledge of basic principles of object oriented programming:  use, create and design data types.  5. Develop software to optimize performance. 6. Implement algorithms (search, sort) and data structures to organize and process data effectively.  7. Develop and use test clients to determine the correctness of a program.  Required Materials and Resources: • You will need to have a laptop with the following minimum requirements: o Windows, macOS or Linux o 4GB of RAM (16GB preferred) o 64 GB of HDD space o 2.0 GHz processorxt) • Introduction to Programming in Python – An Interdisciplinary Approach by Sedgewick, Wayne, Dondero  o ISBN-13:  978-0-13-407643-0 o ISBN-10:         0-13-407643-5 • We will use the programming language Python for this course.  You can download it for free at https://www.python.org/.   We will also use programs, data and modules from the booksite:  http://introcs.cs.princeton.edu/python.     Course Calendar (tentative): Dates  Topic  Jan 19th  Setup, Built-in Data Types Jan 31st  Conditionals, Loops, Arrays Feb 7th  Input and Output Feb 14th  Input and Output (Draw) Feb 22nd   Defining Functions Mar 7th   Modules and Clients Mar 14th   Review, Midterm Exam Mar 28th   Recursion Apr 4th   Using Data Types Apr 11th  Creating Data Types Apr 18th  Designing Data Types Apr 25th   Performance May 2nd  Sorting and Searching May 9th 10:10am Final Exam    Course guidelines and policies: Student Conduct Code All students must practice academic honesty. Academic misconduct is subject to an academic penalty by the course instructor and/or a disciplinary sanction by the University. All students need to be familiar with the Student Conduct Code. The Code is available for review online at  Student Conduct Code.  Disability modifications Students with disabilities will receive reasonable modifications in this course. Your responsibilities are to request them from me with sufficient advance notice, and to be prepared to provide verification of disability and its impact from Disability Services for Students. Please speak with me after class or during my office hours to discuss the details. For more information, visit the Office for Disability Equity website at http://www.umt.edu/disability.   Assignment expectations All assignments, quizzes and activities have deadlines specified in the module.  NO LATE WORK WILL BE ACCEPTED.    Grading Criteria  Assessment Description Percentage Assignments Each module, students will complete one or two assignments that demonstrates their understanding of the module's learning outcomes. 60% Exams There will be two exams worth 20% each. 40% Total:  100%     Grading Scale  Grade Points How this applies to assignmnts A, A- 90-100 Exceeds Standard: The student has gone above and beyond the assignment requirements and has also done an excellent job mentioning and applying concepts found in the course materials to the assignment. B+, B, B- 80-89 Meets Standard: The student has met the assignment requirements and has made some attempt to apply concepts found in the course materials to the assignment. C+, C, C- 70-79 Approaching Standard: The student has met some of the assignment requirements and has made some attempt to apply concepts found in the course materials to the assignment. D+, D, D- 60-69 Needs Work: The student has failed to meet many of the assignment requirements and has not applied the concepts found in the course materials to the assignment. F <59 Incomplete: The student has failed to meet any of the assignment requirements and has significant errors in submitted work.   Pass / No Pass (P/NP) The Computer Science Department has determined that a passing grade is a 70% or greater, which is a C- or better.  

CSCI 151.02: Interdisciplinary Computer Science I

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CSCI 151.02: Interdisciplinary Computer Science I

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