CS 201

Fundamentals of Computer Science II

Fall 2017

Instructor Sections Email Office hours
Don Hake 101, 102, 104 djhake2@ycp.edu M / Th (KEC 137): 10-Noon; W / F (KEC 123): 11:15-Noon, 1:15-2:00, 3:15-4:00; or by appointment
David Hovemeyer 103 dhovemey@ycp.edu In KEC 113: MWF 11-12, T/Th 2-3, or by arrangement

Course Description

This course introduces advanced object-oriented constructs such as abstraction, virtual methods, and generic classes. Advanced data structures including arrays, linked lists, queues, stacks, trees, heaps, and hash tables will be discussed both natively as well as through standard template libraries. Fundamental sorting and searching algorithms will be introduced. Basic analytical and proof techniques will be used to characterize the data structures and algorithms discussed. The course will focus on implementing applications from computer science and engineering using languages such as C++/C#/Java.

Prerequisites

CS 101 with a grade of 2 or better

Textbook

Mark Allen Weiss, Data Structures & Problem Solving Using Java, 4th ed.

Course Structure and Expectations

Class meetings will be a mix of lecture/discussion and in-class lab exercises designed to illustrate the concepts we are covering. A series of programming projects in the Java programming language will be assigned at approximately 1-2 week intervals, to be completed individually. Written homework assignments may be assigned.

We will use the Eclipse IDE for labs and programming assignments in Java. This is available for free from www.eclipse.org. (You will also need the Java Development Kit (JDK) available from java.sun.com.) Make sure you get version 1.8 or higher.

In-class clicker quizzes will be given frequently, typically at the beginning of class. Up to two missed quizzes will be forgiven. Quizzes may not be made up. Note that these are graded for participation only.

There will be three midterm exams and one comprehensive final exam. The dates are shown in the Schedule.

We will be covering a significant amount of material in the course, and it is very important that you keep up. If you have any questions, please ask me in class, office hours, or through email. I’m here to help!

Learning Outcomes

By the end of this course, you will be able to:

  1. Use an object-oriented programming language effectively
  2. Understand and use abstract data types such as lists, stacks, queues, maps, and sets
  3. Understand and use fundamental data structures such as arrays, linked lists, trees, and hash tables
  4. Implement basic array- and list-based data structures
  5. Understand and implement fundamental algorithms such as searching and sorting
  6. Analyze algorithms to determine their asympotic running time
  7. Express upper bounds using big-O notation
  8. Understand and use recursion
  9. Solve recurrences
  10. Use proof by induction

Policies

Grades

Grades are assigned on a 100-point scale:

Numeric Range Letter Grade
90-100 A (4.0)
85-90 B+ (3.5)
80-85 B (3.0)
75-80 C+ (2.5)
70-75 C (2.0)
60-70 D (1.0)
0-60 F (0.0)

Your overall grade for the course will be determined as follows:

* Note that you must earn a score of 70 or above on at least one exam in order to receive a grade of 2.0 or higher for the course.

Course website

Please check the course web page, http://ycpcs.github.io/cs201-fall2017, regularly for important announcements.

Reading Assignments

Reading assignments are posted in the Schedule at the end of this syllabus. We expect you to do the reading before class. When we give a lecture, we will assume you have done the reading. We encourage you to use class time to ask questions about parts of the reading you did not understand to your satisfaction.

Homework assignments

You must make a legitimate attempt to complete every homework assignment. We reserve the right to fail any student who does not make a good faith effort to complete all of the homework assignments.

Posting and submission of assignments and labs

Assignments and labs will be posted as zip files on the course web page, http://ycpcs.github.io/cs201-fall2017.

Assignments and labs will be submitted using the server https://cs.ycp.edu/marmoset. You will receive an email containing the username and password you should use for this server.

Academic Integrity

The following academic integrity policy pertains to all individual assignments:

Because the individual assignments are essential for working towards and demonstrating the achievement of the course outcomes, and outcomes 1–3 in particular, you must solve them on your own. You may discuss the problem and high-level (pseudo-code) approaches to solving the problem with other students. You may not, under any circumstances, discuss or share concrete implementation techniques or code. Examples of forbidden types of collaboration include, but are not limited to: looking at another student’s code, allowing another student to see your code, viewing and/or using code from an external source such as a web page, discussing the use of specific API functions to solve a problem, giving or receiving help debugging specific code.

Exams must be completed individually.

You may work with other students on labs. However, we do expect you to complete and submit them, and they count towards your participation grade: see “Lab Policy” below.

Any violation of the course’s academic integrity policy will be referred to the Dean of Academic Affairs, and could have consequences ranging from a 0 on an assignment to dismissal from the college.

Lab Policy

In order to receive credit for completing a lab, you need to get a sign-off from your instructor in person. There are two options for this:

  1. For 100% of full credit: Get a sign-off by the end of the next class (i.e., the class that follows the one in which we work on the lab in class.)
  2. For 80% of full credit: Get a sign-off sometime before the next exam.

We strongly recommend that you work on the labs before you come to class, so that when you come to class, you have made a good start on it and are ready to ask questions about it.

Late Assignments

Late assignments will be marked down 10% per day late. No credit will be given for assignments that are more than two (2) days late.

Exams

No make-up exams will be given without approval of the instructor prior to class unless proof of extreme emergency or illness is provided. All exams will be open book and closed notes.

Attendance and Participation

We expect you to attend class and participate regularly in class activities. If you miss a class, please notify me in advance. You are responsible for all material covered in class, regardless of whether or not you were present. If you attend and participate in class regularly, you can expect to receive full credit for attendance and participation. Frequent absence and/or lack of participation will reduce the credit you receive for attendance and participation. You are responsible for keeping up with the reading assignments as described in the schedule below.

Professionalism

We expect you to conduct yourself as a professional in this course. Professionalism includes:

We reserve the right to enforce this code through the York College Code of Student Conduct.

Use of Personal Technology in the Classroom

While York College recognizes students’ need for educational and emergency-related technological devices such as laptops, PDA’s, cellular phones, etc., using them unethically or recreationally during class time is never appropriate. The college recognizes and supports faculty members’ authority to regulate in their classrooms student use of all electronic devices.

Communication Standards

York College recognizes the importance of effective communication in all disciplines and careers. Therefore, students are expected to competently analyze, synthesize, organize, and articulate course material in papers, examinations and presentations. In addition, students should know and use communication skills current to their field of study, recognize the need for revision as part of their writing process, and employ standard conventions of English usage in both writing and speaking. Students may be asked to further revise assignments that do not demonstrate effective use of these communication skills.