CSIS 202 Introduction to Computer Science II

Course Description

A foundational course for the study of computer science and information systems. The course covers an overview of object-oriented programming methodology and gives the student an ability to write computer programs using standard style and structure. Programming projects are completed in one or more high-level languages.


Instructors

Brian R. Snider
Office hours: Wood-Mar 223 (see schedule)

J. Walker Orr
Office Hours: Wood-Mar 221 (see schedule)


Texts

required


Resources

Objectives

The goal of this course is to increase your proficiency in computer programming and problem solving necessary for a degree and career in the fields of computer science and information systems. To achieve this goal, you will learn advanced techniques in problem solving using the Java programming language. You will develop algorithms and design programs using object-oriented techniques.

Course Organization

This course assumes a solid mastery of the material covered in CSIS 201 (or the programming concepts in ENGR 152). This course requires significantly more time and effort than CSIS 201—do not fall behind.

The course will include regular homework and/or programming assignments. There will be no credit given for late assignments (without an excused absence)—turn in as much as you can. Unless otherwise specified, no handwritten work will be accepted.

Reading should be completed before the lecture covering the material per the provided schedule. Not all reading material will be covered in the lectures, but you will be responsible for the material on homework and exams. Quizzes over the assigned reading may be given at any time.


Collaboration and Academic Integrity

See the GFU CS/IS/Cyber policies for collaboration and discussion of collaboration and academic integrity. See also the university's policy on the use of generative AI and related tools in an academic setting. Most students would be surprised at how easy it is to detect collaboration or other academic integrity violations such as plagiarism in programming—please do not test us! Remember: you always have willing and legal collaborators in the faculty. We encourage you to ask questions in class, ask for help in the CS lab, use the class mailing list, and visit office hours for assistance.

Unless otherwise specified (e.g., for a group assignment or project), you are expected to do your own work. This also applies to the use of online resources (e.g., solution guides), help forums (e.g., StackOverflow), and generative models (e.g., ChatGPT). Put simply: if you are representing someone (or something) else's work as your own, you are being dishonest. Any suspected incidents of academic integrity violations will be investigated and reported to the Academic Affairs Office as they arise.

Almost all of life is filled with collaboration (i.e., people working together). Yet in our academic system, we artificially limit collaboration. These limits are designed to force you to learn fundamental principles and build specific skills. It is very artificial, and you'll find that collaboration is a valuable skill in the working world. While some of you may be tempted to collaborate too much, others will collaborate too little. When appropriate, it's a good idea to make use of others—the purpose here is to learn. Be sure to make the most of this opportunity but do it earnestly and with integrity.


University Resources

Accessibility and Disability

If you have specific physical, psychiatric, or learning disabilities and require accommodations, please contact Disability & Accessibility Services (DAS) as early as possible so that your learning needs can be appropriately met. For more information, go to georgefox.edu/das or contact das@georgefox.edu.

My desire as a professor is for this course to be welcoming to, accessible to, and usable by everyone, including students who are English-language learners, have a variety of learning styles, have disabilities, or are new to online learning systems. Be sure to let me know immediately if you encounter a required element or resource in the course that is not accessible to you. Also, let me know of changes I can make to the course so that it is more welcoming to, accessible to, or usable by students who take this course in the future.

Academic Resource Center

The Academic Resource Center (ARC) on the Newberg campus provides all undergraduate students with free writing consultation, academic coaching, and learning strategy review (e.g., techniques to improve reading, note-taking, study, time management). The ARC offers in-person appointments; if necessary, Zoom appointments can be arranged by request. The ARC, located on the first floor of the Murdock Library, is open during the academic year from 1:00–9:00 p.m., Monday through Thursday, and 12:00–4:00 p.m. on Friday. To schedule an appointment, click on the TracCloud icon on the Canvas dashboard, go to traccloud.georgefox.edu, call 503-554-2327, email the_arc@georgefox.edu, or stop by the ARC. Visit arc.georgefox.edu for information about ARC Consultants' areas of study, instructions for scheduling an appointment, learning tips, and a list of other tutoring options on campus.

Student Support Network

George Fox University uses a robust referral and support system, Fox360, to learn about students who are experiencing various student success concerns. Students who are referred by a professor, other employee, or fellow student will be contacted by a member of our Student Support Network to explore the student's situation, develop a plan, and connect with relevant campus resources. GFU community members who have a concern about a student's well-being can submit an alert by going to fox360.georgefox.edu. Our goal is to provide 360° care for students as they navigate their college experience. For more information see ssn.georgefox.edu or contact Rick Muthiah, Director of Learning Support Services.


Health and Safety Considerations

Please review the entirety of the university's official COVID-19 web page for the most up-to-date community guidance.

Grading

Grading Scale

The final course grade will be based on:

Graded course activities will be posted to Canvas. Take care to read the specifications carefully and proceed as directed. Failure to pay attention to detail will often result in few to zero points being awarded on a given activity.

Grades will be updated as often as possible; you are encouraged to use the "What-If" functionality to calculate your total grade by entering hypothetical scores for various items.

Note that some graded activities in this course will be submitted via GitLab.

Tentative Schedule

Week 1 · 1/10

Introduction

Reading: Ch. 1.1–1.6

Week 1 · 1/12

Problem Solving

Reading: Ch. 1.7

Week 1 · 1/14

Version Control

Reading: Git Handbook

Week 2 · 1/17

Martin Luther King Jr. Day—no classes

Week 2 · 1/19

Java Classes and Objects

Reading: Ch. 2.1–2.6, 2.8, 3.1–3.4, 3.6–3.7

Week 2 · 1/21

Compiling, Testing, and Debugging

Reading: Ch. 2.7, 3.4–3.5, 6.10

Week 3 · 1/24

Primitive Data Types and Operations

Reading: Ch. 4.1–4.2

Week 3 · 1/26

Basic I/O; Strings and String Operations

Reading: Ch. 4.3, 4.5

Week 3 · 1/28

Decision Structures and Boolean Operations

Reading: Ch. 5.1–5.5, 5.7

Week 4 · 1/31

Repetition Structures

Reading: Ch. 6.1–6.4, 6.8

Week 4 · 2/2

Input Validation

Reading: Ch. 5.6, 5.8

Week 4 · 2/4

Testing

Reading: Ch. 6.5, 6.6, 6.10

Week 5 · 2/7

Arrays

Reading: Ch. 7.1–7.2, 7.6

Week 5 · 2/9

Array Algorithms

Reading: Ch. 6.7, 7.3

Week 5 · 2/11

Mid-semester break—no classes

Week 6 · 2/14

Midterm exam review

Week 6 · 2/16

Midterm exam

Reading: Ch. 1–7

Week 6 · 2/18

ArrayList; Designing Classes

Reading: Ch. 7.7, 8.1–8.6

Week 7 · 2/21

Inheritance and Substitutability

Reading: Ch. 9.1–9.3, 9.5

Week 7 · 2/23

Polymorphism

Reading: Ch. 9.4

Week 7 · 2/25

Abstract and Final Classes; Member Visibility

Reading: Ch. 9.4

Week 8 · 2/28

Interfaces

Reading: Ch. 10.1–10.2

Week 8 · 3/2

Comparable Interface

Reading: Ch. 10.3

Week 8 · 3/4

Case Study: Shape Hierarchy

Week 9 · 3/7

File I/O; Input Processing

Reading: Ch. 11.1–11.2

Week 9 · 3/9

Command-Line Arguments

Reading: Ch. 11.3

Week 9 · 3/11

Exception Handling

Reading: Ch. 11.5

Week 10 · 3/14

Midterm exam review

Week 10 · 3/16

Midterm exam

Reading: Ch. 7–11

Week 10 · 3/18

Midterm exam postmortem

Week 11 · 3/21–3/25

Spring break—no classes

Week 12 · 3/28

Object-Oriented Design; UML

Reading: Ch. 12

Week 12 · 3/30

GUIs and Event-Driven Programming

Reading:
Ch. 10.5, 10.7–10.10
(see also Ch. 19)

Week 12 · 4/1

State Machines; Enumeration Types

Week 13 · 4/4

Recursion

Reading: Ch. 13.1–13.2

Week 13 · 4/6

Recursive Performance

Reading: Ch. 13.3

Week 13 · 4/8

Linear and Binary Search

Reading: Ch. 14.6

Week 14 · 4/11

Selection and Insertion Sort

Reading: Ch. 14.1–14.3

Week 14 · 4/13

Merge Sort

Reading: Ch. 14.4–14.5

Week 14 · 4/15

Quick Sort: Partitioning

Reading: Ch. 14.5

Week 15 · 4/18

Quick Sort: Recursive and Base Cases

Reading: Ch. 14.5

Week 15 · 4/20

Computational Complexity

Reading: Ch. 14.3, 14.5, 14.7

Week 15 · 4/22

Final exam review

Week 16 · TBD

Final exam

Reading: *
  1. GFU
  2. CSIS
  3. BRS
  4. CSIS 202

This page was last modified on 2022-01-07 at 20:42:29.

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